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Essentials of Virtualization in Cloud Computing: Types, Use-cases, Benefits
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In cloud computing, I encountered a technique called virtualization. Virtualization in cloud computing is defined as the abstraction of computing resources like servers, storage, and networking, which allows the creation of virtual instances that work behaviorally separate from the underlying physical hardware.   There are several types of virtualizations in cloud computing, such as server virtualization, which partitions a single physical server into many virtual servers; storage virtualization, whereby physical storage resources are pooled for the efficient management of the system; network virtualization, which abstracts the network resources for the creation of virtual networks; and desktop virtualization that allows the users to access the desktop environments remotely. These virtualization methods increase flexibility, scalability, and resource utilization in cloud environments and create a possibility to allocate and manage resources effectively.   Let’s get to know about Virtualization in detail with the help of this article.  What is Virtualization in Cloud Computing  The definition of virtualization in cloud computing is the process of creating virtual components, such as servers, storage devices, networks, and operating systems. This technology makes it possible to use physical hardware more economically by dividing it into multiple separate virtual spaces. The use of virtualization allows users to manage and access the resources from any place and scale them when required without the need for physical infrastructure. This flexibility enables resource optimization, improves hardware usage, and decreases operational costs, making virtualization a foundation of cloud computing architectures, which increases agility, scalability, and cost-effectiveness in IT infrastructure management.  Types of Virtualizations  Virtualization technology is essentially the ground of modern computing, which makes efficient asset utilization affordable and flexible in many areas. This part will explore the types of virtualizations, each giving a specific purpose and providing users with various benefits.  Server Virtualization:  A single physical server can be divided into several virtual servers via server virtualization, each of which can run a different operating system and collection of applications. Consequently, this kind of virtualization is referred to as hardware virtualization and provides increased resource efficiency and scalability. These virtual machines are managed by hypervisor software, such as VMware vSphere, Microsoft Hyper-V, or KVM, which dynamically distributes resources and maximizes performance. Server virtualization benefits hardware costs, simplifies management, and improves virtual machine disaster recovery by enabling the migration of virtual machines between physical servers. This is one of the major types of virtualization in cloud computing which used majorly.  Network Virtualization:  Network Virtualization separates network resources from the underlying hardware, making it possible to build virtual networks that work on top of existing (physical) network topologies. This kind of virtualization caters to the segmentation of network service into virtual entities such as switches, routers, firewalls, and load balancers. Technologies like Virtual LANs (VLANs), Virtual Private Networks (VPNs), and Software-Defined Networking (SDN) achieve the virtualization of networks through hardware independence and distributing policies and functions. Network virtualization improves network agility, allows multi-tenancy, and reduces management complexities by centralizing control and automation.  Storage Virtualization:  Virtualization hides the physical storage assets such as hard disks, SSDs, and storage arrays to form a single storage pool that can be logically managed dynamically. Virtualizing storage, administrators can get storage resources any time they need and not be limited by the number of storage device resources. Virtualization storage techniques involve networking technologies such as SANs, NAS, and software-defined storage, and these include thin provisioning, snapshots, replication, and data deduplication. Through storage virtualization, storage is made more efficient, such data protection is improved, and storage management is made simpler, leading to lower costs and increased flexibility in storage deployments.  Desktop Virtualization:  Desktop virtualization allows users to access their desktops and applications from any device using a range of client devices, including Desktop and thin clients. Virtual desktops are independent of each other and do not affect the security of other platforms or the customization process. Technologies such as VMware Horizon, Citrix Virtual Apps and Desktops, and Microsoft Remote Desktop Services (RDS) are the main technologies for desktop virtualization in the way that they manage user sessions, deliver applications, and optimize performance. Desktop virtualization works toward the goal of simplifying desktop management, enhancing security, and improving upon scalability by centralizing the deployment of desktops and lowering the dependence on hardware.  How does Virtualization help in Cloud Computing?  I feel that virtualization acts as a vital component of cloud computing, where it forms the basis for the entire architecture and operations. At the heart of virtualization, VMs are created as the virtual instances of computing resources, like servers, storage, and networks, which help the efficient utilization and management of hardware resources. Virtualization, which consists of abstracting from the underlying hardware, provides for dynamic allocation of resources based on demand, thereby improving resource utilization and creating a scalable cloud environment.  Moreover, virtualization facilitates agility and flexibility in cloud computing infrastructure through decoupling software from hardware constraints. Through this disconnection, the virtualized workloads are able to move smoothly from one physical server to another or a data center, which makes it possible to balance the load, disaster recovery, and resource optimization. Furthermore, the use of virtualization brings about the creation of safe and separated environments, enabling rich multi-tenancy support in cloud deployments. In general, virtualization is the heart-beat technology of cloud computing, and I am very sure that it gives platforms the ability to be scalable, agile, and cost-efficient in delivering services and applications to end-users.  Characteristics of Virtualization  Virtualization is referred to as a technology that allows the creation of a software abstraction of resources, including computing power, storage, and network within a single physical infrastructure. Its other major characteristic pertains to abstraction, which is that it divorces the logical view of the resources from their physical implementation. Thanks to this abstraction, it is possible to achieve higher flexibility and efficiency in resource allocation since virtualized resources can be assigned when needed and properly scaled accordingly. Moreover, this technology allows machine consolidation by making it possible to have several virtual machines running on one physical machine, which further contributes to improved resource utilization and reduction in costs.  Isolation, which is the other key feature, allows each virtual machine to operate independently from each other and ensures the safety of applications or prevents them from interfering with each other. In addition to providing flexibility and scalability, this approach improves reliability and availability because failures in one virtual instance cannot affect the rest due to isolation. Additionally, virtualization is useful for encapsulation, where entire software environments, including applications and their dependencies, can be implemented into virtual containers to enable easy deployment and management. This functionality makes it easier to distribute software and gives us better control over performance, which ensures the same results everywhere. In general, virtualization has various advantages, ranging from resource efficiency to scalability, security, and management ease, which form the basis of today’s innovations in computing infrastructure.  Advantages and Disadvantages of Virtualization in Cloud Computing  A salient feature of virtualization is the abstraction that separates the logical view of data from its physical implementation. This abstraction enables increased flexibility and efficiency in the allocation of resources since virtualized resources are reallocated and scaled dynamically based on demand. In addition, virtualization also enhances consolidation by providing an environment where multiple virtual instances can run on a single physical machine, resulting in efficient usage of resources and cost savings, which is one of the advantages of virtualization in cloud computing.   Virtualization also has an isolation aspect, which provides independence of the virtual instances, making them secure and preventing them from interfering with each other. This isolation also results in reliability and availability since failures in one virtual machine do not affect other environments. Additionally, virtualization encompasses encapsulation, where the software ecosystems (applications and their dependencies) are packaged into virtual containers for quick deployment and management. This is the nature that simplifies software distribution and ensures the same output in different environments. In my opinion, virtualization provides numerous advantages, including resource efficiency, scalability, security, and manageability features, all of which are integrative parts of modern IT infrastructure.  Use Cases & Applications of Virtualization in cloud computing  Virtualization is the main component in cloud computing, which consists of various use cases and applications that help raise the level of efficiency, scalability, and cost-efficiency. The need for virtualization in cloud computing has multiple applications, and resource optimization is one of its best benefits of bird providers using virtualization technology, virtually recreating the physical hardware and running several instances of the operating system as guest VMs to fully utilize the available resources. By using techniques like server consolidation, where multiple VMs are running on a single physical server, resources are utilized in a more effective manner, which reduces hardware and energy consumption expenditures. Furthermore, virtualization ensures dynamic resource allocation, as the cloud platforms have access to the ability to reinvest the computing resources depending on the volatility in demand. This flexibility prevents drastic changes in resource consumption for peak periods as well as scaling down the resources for an inactivity period, which results in cost-effective business operations. A Master of Science in Computer Science from LJMU course would be a good starter for beginners.   The isolation and security of workloads are also critical uses of virtualization in cloud computing. Virtualization enables a resilient means of isolating the workloads within one another such that if one of them is compromised, it does not affect the others that are running on the same physical box. Virtually virtualization tends to provide the groundwork for creating a cloud and isolated environment, which developers can use for the test applications without worrying about the integrity of the production environments. Another way in which virtualization is beneficial is that it makes it possible to use disaster recovery and backup mechanisms through the storage of VM snapshots that can be retrieved easily in case of hardware failure or data corruption, which are benefits of virtualization in cloud computing . This creates a backup environment, so any failure or interruption will not cause a total outage and help maintain reliability and stability in cloud environments. Ultimately, virtualization in cloud computing provides a full spectrum of advantages, starting from resource optimization and scalability to enhanced security and disaster recovery capabilities, and this way, it becomes a key feature of modern cloud architectures.  Challenges and Future Trends of Virtualization  The IT landscape has been completely transformed by virtualization, which provides improved flexibility, cost-effectiveness, and resource utilization. It does, however, present several difficulties and potential trends. Security is one major obstacle. Virtualization introduces new attack surfaces, such as hypervisor vulnerabilities, which can compromise the entire infrastructure. Addressing this requires robust security measures, including regular patching, network segmentation, and encryption. Another challenge is performance optimization. As virtualized environments become more complex, efficiently allocating resources and managing workloads becomes increasingly intricate. Future trends in virtualization include the rise of containerization, offering lightweight, portable alternatives to traditional virtual machines. Containerization streamlines deployment and scaling, promoting microservices architecture and DevOps practices. It would be good to have Software Development Online Certification to upgrade skills in virtualization.   In addition, edge computing is IVP at the network intercepts and provides low-latency processing for IoT devices and real-time applications. In addition, the fast evolution in hardware layers is comprised of hardware-assisted virtualization and GPUs, further improving virtualization performance and broadening its scope to handle graphics-intense applications like AI and gaming. Moreover, the convergence of virtualization with newly emerged innovations such as blockchain and edge AI provides the prospects of implementing enhanced security, decentralization, and scalability. At the end of the day, handling these issues and implementing these trends will determine the face of virtualization in the future, allowing organizations to obtain the benefits of virtualization and stay away from risks while being competitive in the changing digital landscape. In addition, the Full Stack Development Course by IIITB gives a comprehensive overview of the overall IT landscape on development.  Conclusion  In my opinion, the meaning of virtualization in cloud computing consists of various use cases and applications that help to raise the level of efficiency, scalability, and cost-efficiency. Though virtualization in the cloud has multiple applications, resource optimization is one of its best-known applications. Cloud providers use virtualization technology, virtually recreating the physical hardware and running several instances of the operating system as guest VMs to fully utilize the available resources. By using techniques like server consolidation, where multiple VMs are running on a single physical server, resources are utilized in a more effective manner, which reduces hardware and energy consumption expenditures. Furthermore, virtualization ensures dynamic resource allocation, as the cloud platforms have access to the ability to reinvest the computing resources depending on the volatility in demand. This flexibility prevents drastic changes in resource consumption for peak periods and scaling down resources for an inactivity period, resulting in cost-effective business operations. 
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by venkatesh Rajanala

29 Feb 2024

22 Most Common Cloud Computing Interview Questions & Answers: For Beginners & Experienced in 2023
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Cloud Computing Interview Questions and Answers In today’s world, communications have evolved by leaps and bounds so much so that we can speak to one another, sitting in different corners of the world within a matter of few seconds. The wealth of information is no longer limited to voluminous books and libraries. Irrespective of the topic or theme of concern, detailed information is available at your fingertips. The World Wide Web paved the path for such access to information. However, in contemporary times, even more, is few. So a static web server might give you access to certain information, but that may not suffice always. The advent of cloud computing has extensively resolved this limitation. Cloud computing has enabled users to access a wide range of servers. Check out our free courses to get an edge over the competition. Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript Understanding Cloud Computing? Cloud computing refers to the virtual space that helps deliver hosted sources over the Internet. This includes databases, analytics, servers, networking as well as intelligence. All this is done keeping flexibility, innovation, and cost-effectiveness in mind. This has come to be of great help for businesses, both mid-size and small. Cloud computing makes use of machine learning, data analytics, and artificial intelligence. It goes without saying that with cloud computing, there have been many revolutions in the way data and documents are handled, making it an exceptional addition to the computing world. Consequently, the applications of cloud computing have become extremely widespread and almost unavoidable. For any digital and software oriented career, interview questions on cloud computing have become a frequent occurrence. We have discussed some of the fundamental cloud computing interview questions here.  Enroll for Advanced Certification in Cloud Computing Cloud Computing—Its History In the simplest sense of the term, the process of renting a computing resource is “cloud computing.” The idea first came about around the 1950s. The top phases that have shaped cloud computing in its current avatar are- Idea: The period lasted during the 1960s and came to be with an introduction of the concepts of utility as well as grid computing. These were relevant until pre-internet times. Pre-phase: This phase ranged between 1999 and 2006. For all applications used as a service at this time, the internet was the main mechanism for delivery. Cloud: The phase of cloud actually began in 2007 with the formalization of SaaS, IaaS, and PaaS. Since then, leading organizations in the web and computer domains have come up with amazing breakthroughs in cloud computing. Enroll for Advanced Certification in Cyber Security Interview performance helps the interviewer to decide the salary of a cloud engineer in India. So, how you perform in the interview directly affects your CTC. We have a list of basic cloud computing interview questions for freshers and experienced people to help them prepare for their big day with the right information. These basic cloud computing interview questions are not exhaustive but will familiarise you with the basic concepts of cloud technology and help you to prepare for any interview questions on cloud computing if you’re venturing into this field. Practicing cloud analyst interview questions beforehand will offer you an edge over other candidates who may or may not have prepared in depth for the position. Learn Software Courses online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career. Here are the top cloud computing interview questions and answers that will prepare you to deal with complex cloud computing questions extended by employers. These interview questions on cloud computing also work as excellent cloud computing interview questions for freshers or simply as basic cloud basic interview questions to excel in an interview. Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses Top Cloud Computing Interview Questions Having an idea about the most popular cloud computing interview questions or cloud computing questions can help you prepare better for related interviews. 1. What are the advantages of Cloud Computing? This cloud computing question must be answered with all the examples relevant to this time. Extending an outdated answer might lead recruiters to think your knowledge is limited to books. Here’s how you can approach this cloud computing question. Cloud Computing technology helps the users avail of a more extensive network of global web servers. This directly boosts the productivity and performance of the web platform and makes development efficient in terms of cost and time. Cloud computing also increments the data storage and data backup capacities of the web servers. Due to the boosted interaction between different web servers, the server capabilities are made much more powerful.  2. Describe the different cloud service models? There are predominantly three models of cloud service. Each come with their own sets of advantages and are at variance with each other with regards to one or the other features. Before opting for one of them, let’s understand their characteristics and gauge how they fit within our individual requirements.  IaaS- Infrastructure as a Service (IaaS) consists of highly automated compute resources. Businesses can avail of on-demand hardware resources through IaaS without having to make any upfront hardware purchase. IaaS is highly scalable and can assist in quickly accessing and monitoring computers, database storage, and other networking services.  PaaS-Platform as a Service (PaaS) is helpful in customizing applications that require cloud components. PaaS helps in streamlining the workflow in the situations which involve more than one developer. While developers can manage the applications, businesses get to use the network and storage.  SaaS- Software as a Service (SaaS) refers to the service model where applications are delivered to the user using cloud platforms, and the third party can then manage the applications. They are incredibly convenient to use since they do not require any additional installations.  3. What are some of the popularly used cloud computing services? Cloud computing has come to be used widely across industries. Some of the top players, in this case, are Windows Azure, Amazon Web Services, and iCloud, which is exclusively for the iOs users. These are the broadly used cloud platforms. However, there are emerging cloud services available in the market. Other popularly used cloud computing services include Google Cloud, Alibaba Cloud, IBM Cloud, and Oracle. 4. What are the main differences between public, private, and hybrid clouds? Cloud deployment models vary, and understanding their suitability for different scenarios is essential.  Public Cloud: Owned and managed by third-party providers, the public cloud allows multiple organizations to share computing resources over the Internet. It offers scalability, cost-effectiveness, and offloading infrastructure management. However, data security concerns and limited customization might be drawbacks. Private Cloud: Solely dedicated to one organization, the private cloud can be on-premises or hosted by a third party. It provides increased control, security, and customization, which is ideal for businesses with strict data privacy needs and specialized workloads. But it may involve higher initial costs and require in-house management expertise. Hybrid Cloud: Combining public and private clouds, the hybrid cloud allows seamless integration and data portability. Businesses can enjoy scalability and cost savings for non-sensitive data in the public cloud while keeping critical applications and data secure in the private cloud. Proper integration and data synchronization are crucial in this approach. 5. How does cloud security work, and what are the primary concerns? Cloud security encompasses a comprehensive array of measures and protocols to safeguard data, applications, and infrastructure within cloud environments. To achieve this, various methods are employed:  Data Encryption: Cloud service providers use encryption techniques to protect data during storage and transmission, ensuring that unauthorized access cannot compromise sensitive information.  Access Controls: Cloud platforms implement robust access control mechanisms to manage user permissions effectively, preventing unauthorized entry to critical resources.  Identity and Access Management (IAM): IAM solutions manage user identities, authentication, and authorization, allowing only authorized users to access specific resources.  Firewalls: Cloud providers utilize firewalls to monitor and control network traffic, creating a protective barrier against unauthorized access and potential threats.  Major concerns in cloud security include  Data Breaches: Unauthorized access to sensitive data is a significant concern, emphasizing the need for robust security measures to prevent data breaches and safeguard confidential information.  Insider Threats: Individuals with legitimate access to cloud resources, such as employees, can unintentionally or maliciously jeopardize data and systems. Insecure APIs: Application Programming Interfaces (APIs) can be entry points for attackers. Ensuring robust API security is crucial to prevent vulnerabilities.  Data Loss: Data loss may occur due to accidental deletion or hardware failure, making robust data backup and recovery mechanisms essential.  Compliance and Regulatory Issues: Cloud providers must adhere to data protection and privacy regulations like GDPR, HIPAA, or PCI DSS, as non-compliance can lead to severe legal and financial consequences.  Shared Tenancy: In multi-tenant cloud environments, multiple users share resources, necessitating sufficient isolation and security measures to prevent data leakage and unauthorized access.  Misconfigurations: Improperly configured cloud resources can expose sensitive data or create entry points for attackers. Regular monitoring and adherence to best practices are crucial to prevent misconfigurations. By addressing these concerns with diligence, cloud security can be bolstered and data integrity maintained. In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses upGrad’s Exclusive Software and Tech Webinar for you – SAAS Business – What is So Different? document.createElement('video'); https://cdn.upgrad.com/blog/mausmi-ambastha.mp4   6. Define Hybrid Cloud Hybrid cloud integrates private and public cloud services to support parallel, integrated, or complementary tasks. Rather than restricting organisations to uniform in-house data centres or outsourcing completely, the hybrid model effectively supports allocating processing across environments dynamically. Certain sensitive, business-critical systems warrant running in private clouds or on-premises servers under strict control access policies meeting security regulations. Public options handle use cases around scalable web hosting, storage, or machine learning, giving vast self-service capacities despite looser tenancy. A hybrid cloud retains governance where compulsory while leveraging abundant elastic resources externally wherever efficiency gains arise. Strategic workload placement minimizes costs when public cloud economics make sense while keeping custom legacy systems internally avoids risk. 7. What is the difference between the Hybrid Cloud and Hybrid IT? The hybrid cloud term is supposed to be integrating public and private clouds. Hybrid IT is what results when hybrid cloud efforts in organizations become more of advanced virtualization and automation environments with various features. And there haven’t been a lot of success stories of organizations being able to really build and maintain real hybrid clouds. They’ve done some things with OpenStack, but, for the most part, private cloud-inspired environments powered by VMware dominate. Therefore, a substitute term — hybrid IT — actually better describes the bulk of hybrid scenarios. This does not, however, change the need for clarity in terminology. The hybrid cloud must involve some combination of cloud styles (private, public, community), but physical location is not a definitive aspect of the style. The bottom line is that most users of the hybrid cloud term have really meant hybrid IT thus far. 8. What is The Packaging of Hybrid Cloud? What are the two main types of packaged hybrid cloud?  Packaged hybrid means you have a vendor-provided private cloud offering that is packaged and connected to a public cloud in a tethered way. Azure Stack from Microsoft is an excellent example of this packaging, but there is another approach as well. We call these two main approaches “like-for-like” hybrid and “layered technology” hybrid (spanning different technology bases). Azure and Azure Stack typify the like-for-like hybrid approach. Azure Stack is not exactly the same as Azure in the public cloud, but they try to approximate it. AWS Outposts, as announced, can be used in a private cloud model (where no other companies have access). If so, it represents an example of the like-for-like approach. However, the broader strategy represented by AWS Outposts would encourage a more distributed model where each Outpost is opened to near neighbours. Oracle Cloud at Customer (one of the original attempts at this) is also another example of this approach, but it is evolving toward a new style of cloud computing we call distributed cloud (see the Distributed Cloud section). Like-for-like solutions provide the “full-stack” but not necessarily the hardware, all managed by a single vendor. The layered hybrid approach is based on integration across different underlying technology — a portability layer of sorts. This is where Google and IBM have focused. Google, with its recently announced Anthos (formerly its cloud services platform) and IBM with its cloud private as well as the direction it is headed in with the pending acquisition of Red Hat and Openshift, which also fits into this model. There are many challenges regarding this approach’s ability to fulfill on the vision of distributed cloud 9. What is a Distributed Cloud? The distributed cloud may be defined as the distribution of public cloud services to different physical locations. They are specifically used to meet various kinds of compliance needs and performance requirements.  In contrast, operation, governance, updates, and the evolution of the services are the responsibility of the originating public cloud provider. Distributed cloud computing is a style of cloud computing where the location of the cloud services is a critical component of the model. Historically, the location has not been relevant to cloud computing definitions, although issues related to it are essential in many situations. While many people claim that a private cloud or hybrid cloud requires on-premises computing, this is a misconception. A private cloud can be done in a hosted data center or, more often, in virtual individual cloud instances, which are not on-premises. Likewise, the hybrid cloud does not require that the individual components of the hybrid are in any specific location. However, with the advent of distributed cloud, location formally enters the definition of a style of cloud services. Distributed cloud supports the tethered and untethered operation of like-for-like cloud services from the public cloud “distributed” out to specific and varied physical locations. This enables an essential characteristic of distributed cloud operation — low-latency compute where the to compute operations for the cloud services are closer to those who need the capabilities. This can result in major upgrades in performance and reduce the risk of global network-related outages.  Furthermore, distributed clouds also provide us with guaranteed quality of service (QoS), especially for mission-critical applications and mobile users.  Read: How to become a good cloud engineer? 10. Define what MultiCloud is? Multicloud computing may be defined as the deliberate use of the same type of cloud services from multiple public cloud providers. This term has been challenging because, while there are three main use cases, there are other uses of the term in common use as well. And one of them is the use of multiple cloud providers for different purposes. A prevalent situation is for an organization to use AWS for infrastructure and Office 365 for the cloud office. This is very clearly two various providers, but also clearly for two very different purposes. This is not a deliberate use of the two in any coordinated way, so that’s not really indicative of the primary intent of multi-cloud. There are also other multi cloud-oriented situations, such as relying on application providers to support multiple platforms underneath. But multi-cloud is really a deliberate strategy to deal with and leverage the potential benefits (for example portability and vendor independence) of multiple cloud providers for, in most cases, the same or similar types of scenarios or things Answering such cloud computing basics interview questions in-depth will enable recruiters to know your basics are polished, and you can easily take up the role knowing its foundation.  11. What is a multi-cloud strategy? The way most organizations adopt the cloud is that they typically start with one provider. They then continue down that path and eventually begin to get a little concerned about being too dependent on one vendor. So they will start entertaining the use of another provider or at least allowing people to use another provider. They may even use a functionality-based approach. For example, they may use Amazon as their primary cloud infrastructure provider, but they may decide to use Google for analytics, machine learning, and big data. So this type of multi-cloud strategy is driven by sourcing or procurement (and perhaps on specific capabilities), but it doesn’t focus on anything in terms of technology and architecture. Two of the major factors that drive the deployment of a multi-cloud strategy are redundancy and vendor lock-in concerns. Apart from these, other factors might also include the need for more price-competitive cloud services, speed, capacity, or the various other advantageous features that accompanies a particular cloud provider of a particular location.  The next step, as they mature, is toward what we call multi-cloud management or governance. This step comes after you have multiple providers, and you need to have some semblance of control over the resultant environment. It can be simple, a single pane of glass for monitoring and then progressing from there. There may also be a multi-cloud architecture where you actually have a desire to make the workloads portable, either as a possibility or in actuality. This leads to a focus on portability, similar in concept to Java. You could even go into very advanced environments like cloud bursting or dynamic figuring, which is the dynamic allocation of where you’re going to run workloads based on availability or spot pricing. Those things are pretty rare today. But with more and more advanced cloud use cases, these scenarios are becoming more real. In fact, with the advent of these new packaged hybrid types of environments, we may see more of that because it’ll be easier to do. There are instances when multi-cloud is not so much a strategy as it is a situation that must be dealt with. The result of a merger or acquisition can lead an organization this way, as can other situations best described as evolutionary. Much of what is described here is applicable, but it should be noted that there are exceptions 12. What is Cloud-Native Cloud native is a frequently discussed topic in the cloud computing basic interview questions. Let’s find out its basic definition to get started.  Cloud-native definition: Something is cloud-native if it is created to leverage cloud characteristics. Those cloud characteristics are part of the original definition of cloud computing. It’s all about capabilities delivered as a service that is scalable and elastic, metered by use, service-based, ubiquitous by means of internet technologies, and shared. Sometimes people will trade off one or more of these. For example, sharing can be problematic for some, and they may accept less elasticity as a result of not enabling sharing. 13. What is meant by Edge Computing, and how is it related to the cloud? Unlike cloud computing, edge computing is all about the physical location and issues related to latency. Cloud and edge are complementary concepts combining the strengths of a centralized system with the advantages of distributed operations at the physical location where things and people connect. Edge is very common in IoT scenarios and is very different from the cloud. Cloud has never been about location. In fact, it has always been about the independence of location. That’s why private, public hybrid and all these other terms exist There are many edge scenarios, but one of the more popular ones is where you have cloud and edge together, and the cloud provider (like Amazon with Greengrass) controls, runs and defines the architecture for what is out at the edge. Edge and cloud are complementary and both part of a broader concept — distributed cloud. While there has been some confusion around these terms, greater understanding is happening and the majority of those pursuing edge computing strategies are now viewing edge as part of their overall cloud strategy. 14. State some of the key features of Cloud Computing. This is one of the most popularly asked basic cloud computing interview questions for freshers, which exhibits your basic knowledge and promising skills in the cloud analyst interview questions. The following list contains some of the top features of cloud computing that you can extend in the interview to answer this question. Quality Of Service– Cloud computing provides its users with the best quality of service experience. Any compromise or irregularity in the said services can cause potential damage to the popularity of the company, and might result in loss of customers.  Flexibility–  In this dynamic competitive environment, scalability is one of the crucial elements for any company. However, scalability does not require companies to restart their servers since it can be done at any stage. Hosting in Cloud is one of the key features of cloud computing that enables its users to enjoy additional flexibility. Furthermore, cloud computing also provides flexibility in payment options, so companies no longer need to spend extra money on needless resources.  Easy Maintenance– Cloud Computing resources are regularly updated with various features that help to improve their capabilities. The servers can be maintained quite effortlessly, which means the downtime is very low, often equivalent to zero.  Read our Popular Articles related to Software Development Why Learn to Code? How Learn to Code? How to Install Specific Version of NPM Package? Types of Inheritance in C++ What Should You Know? 15. How is data loss prevented in cloud computing? Cloud service providers implement various measures to prevent data loss and ensure the reliability of cloud data storage. A key technique is redundancy, where data is replicated across multiple physical drives and servers. Even if some hardware fails, data continues being available from replica copies. Providers also utilise error-checking mechanisms like parity bits and checksums to prevent and detect data corruption. Data is encrypted both at rest and in transit using industry-standard protocols, protecting it even if drives end up in the wrong hands. Backups are done periodically to secondary facilities, so data persists through regional outages or disasters.  Versioning tracks changes over time, allowing recovery of older versions of accidentally deleted or changed files. Through meticulous access control and identity management, providers minimise opportunities for data leakage, loss through human error or malicious actions. With disciplined data governance and advanced resilience mechanisms, cloud platforms provide enterprise-grade assurance against data loss while harnessing economies of scale. 16. What is the future of cloud computing? Cloud computing is poised to continue disrupting industries in the years ahead. As connectivity and infrastructure improves globally, more enterprises are expected to migrate their data and workloads to the cloud, seeking agility, collaboration capabilities and economies of scale. Serverless computing could really take off, allowing organisations to focus innovation without managing infrastructure. Multi-cloud and hybrid cloud deployments will dominate as businesses avoid vendor lock-in and leverage diverse strengths of cloud platforms.  Emerging technologies like artificial intelligence, blockchain and quantum computing will likely integrate closely with cloud services for powerful combined capabilities. Security and data sovereignty will remain key considerations though. Further evolution of cloud interoperability standards will help data transfer across platforms. With 5G, proliferating edge devices and advances in virtualization, we can expect a deeper proliferation of cloud across sectors going forward. The future seems promising for cloud to become the foundational architecture powering innovation. 17. How do you monitor and manage cloud applications? Managing cloud apps can be tricky with so many moving parts, but the major cloud providers like AWS, Azure, and Google Cloud give us some handy built-in tools to keep tabs on things. Their dashboards let you see at a glance how your compute, storage, and bandwidth are holding up. And services like CloudWatch aggregate all those error logs and transactions so you can pinpoint problems. Tracing requests end-to-end is super helpful for finding bottlenecks in complex multi-tier apps. Cloud platforms also make it easy to set up auto-scaling policies, so your apps can scale up or down automatically based on demand. That’s huge for efficiency and cost control. And Kubernetes has been a game changer for wrangling containerised apps – it handles scaling, failovers, and more under the hood so you don’t have to. Also, great third-party monitoring tools give you extra visibility into app performance. The key is getting visibility at the infrastructure and app layers. And you’ll want robust access controls, backup systems, and patching for governance and compliance. 18. What are the environmental impacts of cloud computing? Here are the main environmental impacts of cloud computing in bullet point form: Energy usage – Massive data centers consume large amounts of electricity. Estimates range from 2% to 5% of global energy usage. Renewable energy – Cloud providers increasingly use renewable energy sources like wind and solar, signing long-term contracts. But there is room for improvement. Hardware production – Servers must be replaced every few years, producing large amounts of e-waste. Proper recycling of older hardware is essential. Hardware waste – Used servers and components removed during upgrades create large amounts of e-waste if not disposed of responsibly. Optimisation – Cloud users can help by right-sizing resources, optimising workloads, and avoiding over-provisioning to improve efficiency and reduce waste. Monitoring – Continued monitoring of sustainability efforts by both cloud providers and business users is important to minimise environmental footprints. Creative solutions – To reduce environmental impacts, providers and users must implement creative sustainability solutions related to energy, hardware, and usage optimisation. Efficiency benefits – When used strategically, the cloud offers huge efficiency benefits over on-prem infrastructure and computing. But environmental impacts need to be consciously addressed. 19. How does encryption work in cloud computing? Encryption is a really important part of keeping data secure in the cloud. The basic idea is it scrambles everything using complex math formulas so only authorized folks with a secret key can unscramble it back into usable data again. When your data gets encrypted, it becomes a coded form called ciphertext. You need the right decryption key or password to decrypt it back to regular plaintext. The big cloud providers like AWS and Azure encrypt data by default as it goes into the cloud and stored there. Data traveling to the cloud gets encrypted using HTTPS. Data sitting in cloud storage gets encrypted at rest on the servers. You can even encrypt stuff yourself before uploading it to have total control. That way the cloud provider only ever stores ciphertext they can’t actually read without your keys. Those encryption keys must be kept super secure since they unlock all the data. Cloud platforms provide key management tools to help with that process. 20. What is a Content Delivery Network (CDN)? A CDN, or Content Delivery Network, is a network of servers that helps deliver content fast. The servers are spread out in data centers across different geographic locations. When someone requests your website, video, app, etc., the CDN routes the request to the server closest to that person. This makes the content load super quick since it doesn’t have to travel as far. CDNs also cache, or store, content temporarily on their servers. So if someone else nearby requests the same content shortly after, the CDN serves it directly from the cached copy. That avoids having to fetch it again from the original source server. Big cloud providers like AWS and Azure have their own Content Delivery Networks. Sites and apps can use these CDNs to make their content blazing fast for users worldwide. CDNs help deal with huge spikes in traffic too. They can balance loads across many servers and keep content speedy even for huge hits. 21. How do you manage resource provisioning in the cloud? Understand application resource requirements – Study usage metrics like traffic, storage, and computing needs to properly size resources. Do projections for new launches or usage spikes. Use auto-scaling tools – Cloud providers have auto-scaling capabilities that can automatically spin up resources based on triggers and rules. This dynamically provisions capacity as needed. Monitor usage in real-time – Use live dashboards and monitoring tools to track resource utilisation. Watch for over or under provisioning and adjust accordingly. Analyse usage over time – Look at usage trends, seasonal peaks, and growth to forecast capacity needs and optimise provisioning. Right-size resources – Deallocate resources that are consistently underutilised to avoid overspending. But make sure to maintain performance. Plan maintenance windows – Schedule infrastructure maintenance and shutdowns during periods of low traffic to maximise savings. Involve stakeholders – Get business teams involved to understand budget and business requirements. Plan capacity collaboratively. 22. What is the role of a cloud architect? A cloud architect is the person who designs and plans out cloud environments for companies. They’re like the blueprints expert for building in the cloud. Cloud architects start by understanding a client’s business goals and requirements for applications or infrastructure. From there, they design optimal cloud solutions to meet those needs. This involves making recommendations on the right cloud services, infrastructure design, storage, networking, and integration with existing systems. For example, advising which compute and database services to use on AWS. Architects also focus on security, scalability and efficiency in their designs. They aim to build solutions that are cost-effective and flexible for future needs. During implementation, an architect oversees translating plans into reality. They work closely with engineering teams to make sure rollout and migration goes smoothly. Cloud Computing- Top Advantages Besides understanding what the top interview questions on cloud computing, and cloud computing interview questions for freshers are, take a look at the top advantages of cloud computing. These are often a part of your cloud basics interview questions, so prepare well! Money Saving: When on Cloud, you can easily access all company data. This helps save time as well as money as you start on new projects. Cloud-computing-related services mostly follow a pay-as-you-go format to utilize the resources as per requirements. Security: A cloud’s host primarily monitors security, extending a similar way to manage, utilize and store data but making it even better and more efficient compared to traditional in-house systems. According to a RapidScale study, close to 94 percent of businesses felt that security had gotten better after shifting to Cloud systems.     Mobility: The cloud computing concept enables mobile access to all corporate data using smartphones and linked devices. Efficiency: Cloud computing allows organizations and individuals to utilize shared resources, resulting in increased cost savings, speed, agility, and efficiency. Cloud providers leverage vast economies of scale and optimize usage across thousands of customers. Scalability: Cloud resources can be provisioned and de-provisioned dynamically and on-demand to meet changing business requirements. This elasticity eliminates the need for capacity planning and avoids both under-provisioning and over-provisioning Resiliency: Leading cloud platforms enable high availability through redundancy and disaster recovery protections for always-on applications with minimal downtime risk. Sophisticated data backup, failover clustering and geo-distribution prevent service disruptions Productivity: Self-service automation, developer friendliness and API connectivity boost developer and operator productivity by abstracting operational complexities behind simplistic interfaces. More focus stays on core products Compliance: Major cloud platforms readily comply with regulations around security, data sovereignty, industry standards, and country-specific legislation to ease adoption barriers, especially in heavily regulated industries like healthcare and banking.     Flexibility: Cloud offers heightened flexibility for businesses over traditional hosting over local servers. Enhanced bandwidth also becomes an immediate possibility that doesn’t need costly or complicated IT upgrades.  Data backup and restoration: Once the data is in the Cloud, it is much easier to back it up and restore it using the Cloud.  Collaboration: Cloud applications improve collaboration by enabling groups of people to easily and quickly share information in the Cloud via shared storage.  Cost: Cloud computing saves businesses money on both hardware and software maintenance.  Storage space: The cloud provides an enormous amount of storage capacity for storing our important data, such as documents, images, audio, video, and so on, in one location. The vast number of jobs: There are a lot of jobs available related to cloud computing in India. On Naukri, as of date 17/06/2022, there are 112300+ jobs available. Sustainability– Cloud infrastructures enable companies to cut down on carbon footprint, paper waste, and commuter-related emissions and enhance energy efficiency simultaneously.  Competitive Edge– Implementing cloud-based solutions in businesses helps users stay one step ahead of their competitors in this highly competitive market. According to a study conducted by Verizon, 77% of the users of this technology have claimed that it has given them a competitive advantage over their competitors.  Conclusion Having a grasp on cloud basic interview questions can greatly influence your chances of getting your dream job, hence make sure you read through all the cloud computing basic interview questions and answers. We hope this cloud computing interview questions and answers guide will help you strengthen and expand your cloud computing knowledge base. Surely, cloud engineers have a bright future ahead. With years passing by, the demand for cloud engineers is only going to increase. So, brush up your knowledge of the cloud, practice cloud basic interview questions and take up our course in cloud computing to add certification to your profile! Our course will teach you the basic and advanced concepts of cloud computing along with the applications of these concepts. You will learn from industry experts through videos, live lectures, and assignments. Moreover, you’ll get access to upGrad’s exclusive career preparation, resume feedback, and many other advantages. Be sure to check it out. If you know someone interested in learning about cloud technologies and hope to practice cloud basics interview questions, do share this article on cloud basic interview questions with them.
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by Kechit Goyal

19 Feb 2024

Cloud Architect Salary in India: For Freshers & Experienced [2023]
900071
Let’s begin with a few incredible cloud adoption stats. The public cloud service market is forecasted to reach a global valuation of $623.3 billion. More than half of enterprises spend over $1.2 million on cloud-related services every year. Cloud computing accounts for about 30% of the IT budgets of organizations worldwide. More than 65% of organizations have already built a cloud center of excellence or a central cloud team. Most organizations use the services of about 5 different cloud service providers. There are a few more coming your way. The point of sharing these stats with you is to let you know how big cloud computing is.  Check out our free courses to get an edge over the competition. Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript What is a Cloud Architect? Cloud architects are IT professionals who assist an organization in using Cloud technology for application deployment and several other use cases. They possess in-depth knowledge of both Cloud Computing and how they are used in various industries. They closely work with various stakeholders. They navigate the back-end technical side as well as the business side of the Cloud infrastructure.  The cloud architect salary is quite admirable considering the challenging responsibilities they fulfill. Cloud architects have myriad opportunities because most businesses run at least partially on a Cloud environment. The Cloud computing demand continues to grow. Many businesses currently using the Cloud technology express that they would increase their budget. Cloud architects can be employed in various industries and offer admirable solution architect salary owing to the extensive adoption of Cloud computing technology. Overview of responsibilities of Cloud Architects: Cloud architects are important job positions in various industries. They are primarily responsible for managing the cloud environments. After designing, developing, and administering cloud infrastructure and assets, they develop and implement cloud computing strategies. Consequently, they help a business fulfill its goals. Cloud architects should work closely with DevOps team members. The reason is they have to oversee strategic planning and technical tasks of developing, deploying, and migrating applications within an organization’s Cloud. Moreover, Cloud architects join forces with developers to ascertain that preliminary requisites of a build are fulfilled before moving on to design and project integration. Fulfilling these primary responsibilities can help these professionals advance their career graph with improved cloud architect salary. Cloud architects are well-versed with the organization’s cloud infrastructure. Thus, they can help the IT security team by supervising cloud activity and addressing the bugs. Moreover, in-house cloud architects allow a company to retain ownership of its infrastructure instead of depending on Infrastructure-as-a-Service (IaaS). These exceptional skills add up to the solution architect salary. Cloud Computing Trends Gartner suggests the expected shift to the cloud by 2023 could increase the IT spending to over $1.3 trillion worldwide. This spending would also include the money spent on other aspects of IT. A piece published in Forbes suggested that over 70% of CFOs feel that cloud computing has been instrumental to the growth of their business in the recent past. The demand for cloud services has also risen quite significantly in recent years. It was 18% higher in 2019 than in the previous year. Amazon Web Services or AWS is the preferred cloud service platform for organizations globally. More than 80% of businesses either already use or are thinking about switching to AWS as their cloud partner.  Check Out upGrad Advanced Certification in Cloud Computing These stats clearly show that cloud services are already the preferred choice of organizations worldwide. And things are only going to improve in the time to come. So if you are considering making a career as a cloud architect, you should start your preparations right away. You won’t have to wait too long for jobs as cloud architects are already in demand. What you need to do is right now is to acquire the right skills needed for this role, which we are going to discuss in some detail a little later in the blog. This is the best time to join an online course that is relevant to this role and make the most of the time available to you. Let us now talk about our primary topic of concern – cloud architect salary in India.  Learn Software Engineer Programs online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career. upGrad’s Exclusive Software and Tech Webinar for you – SAAS Business – What is So Different? document.createElement('video'); https://cdn.upgrad.com/blog/mausmi-ambastha.mp4 Check Out upGrad Advanced Certification in DevOps Cloud Architect Salary in India  The average base salary of cloud architects in India is in the range of Rs 1,600,000 per annum. This could go up significantly based on several factors. The average base salary, in some cases, has been reported to reach Rs 2,400,000 per annum. Your experience as a cloud architect is possibly the most important out of all the other factors. Your experience can land you a job in one of the top global companies as well, which can again be a great boost for salary. And working with a top firm comes with its additional perks and benefits as well. Your job location is another very important factor that can contribute to increasing your salary. The salary range for a cloud architect in India is between Rs 1,000,000 per annum and Rs 5,000,000 per annum. The variation is because of the factors we just discussed. Let us now see a few common cloud architect salary trends in India before moving any further. Though the highest salary that a cloud architect can expect to earn in India is Rs 5,000,000 per annum, only 1% of the total cloud architects in India are paid such a high salary. This could also be because salary in this range depends on your experience, and there won’t be enough candidates in the country that have such rich experience in the field. However, about 10% of the total cloud architects working in this role have an average salary of around Rs 3,500,000 per annum. So it is quite evident that your salary grows as you gain more experience as a cloud architect. Learn more: Cloud Engineer Salary in India Source Salary for Similar Job Titles  Now we come to different cloud architect roles that can pay you a higher salary than others. However, your responsibilities would also be different in each of these roles. We already know what a cloud architect earns on an average. So let us move onto other related roles. A senior cloud architect makes around Rs 2,500,000 per annum in salary. A technical architect in cloud computing, on the other hand, earns around 2,400,000 per annum. The salary of a cloud solution architect is a little lower than what a cloud architect earns on an average, and this could be because of fewer responsibilities. A cloud solution architect has an average salary of around Rs 1,900,000 per annum. A cloud associate architect is at the bottom of this pile and earns Rs 1,600,000 per annum. Source Cloud Architect Salary: Based on the Employer  So what do top companies pay their cloud architects? Let’s talking about a couple of those companies! If you are employed as a cloud architect at Tata Consultancy Services, you will earn a median base salary of around 1,500,000 per annum. The minimum salary at TCS is around Rs 2,30,000 per annum, and the maximum can go up to Rs 3,800,000 per annum. There are different factors at play that justify this difference. We have already talked about those factors earlier. Now the median base salary of a cloud architect at Accenture too is in the range of Rs 1,500,000 per annum. The minimum and maximum range are Rs 4,10,000 per annum to Rs 2,800,000 per annum.  Source Now let us see the difference in pay based on company size. If you are working as a cloud architect in a company with more than 10,000 employees, you will earn a compensation of around Rs 1,900,000 per annum. A company with an employee strength of 1000-10000 pays its cloud architects in the range of Rs 1,500,000 per annum. While companies with 200-1000 employees and 1-200 employees pay Rs 1,100,000 per annum and Rs 6,10,000 per annum to their cloud architects. It is clearly evident from these figures that you have a better chance of earning more in a company that employs more people. In other words, the bigger the company, the better your chances of earning a higher salary.  Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses Cloud Architect Salary: Based on Qualifications  So what qualifications are you required to have to make the cut, if you like? About half of the employees placed in different companies as cloud architects have a PostGraduate degree. About 49% of other cloud architects are graduates, and only 1% have a Ph.D. degree. Now let us see the salary of people with different educational qualifications. If you are a graduate, you will be paid around Rs 1,500,000 per annum. A cloud architect with a PostGraduate degree is paid around Rs 1,900,000 per annum. If you have an MBA degree, your salary can go up to nearly Rs 2,000,000 per annum. So you can see that your educational qualifications indeed matter.  But in addition to these education requirements, a dedicated course in cloud computing or cloud architecture is also quite common. Your PostGraduate and Graduate degrees are qualifications that you are expected to have to even considered for this position. However, if you want to be preferred over other candidates who are applying for the same position, you need to show your recruiters that you are different.  A cloud computing course, whether online or classroom learning, could be the key differentiator when it comes to organizations choosing you over all the other candidates that have just a college PG or graduate degree. This short-term course will only focus on the aspects that you should know of and the situations that you must be prepared to handle as a cloud architect. So if you are really serious about this career option, a dedicated cloud computing course can really help you. And if you are a working professional, an online course is just what you need to upskill yourself for a better career option without having to leave your current job.  In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses Role of Cloud Architects in India For various reasons, the demand for cloud architects is increasing, with handsome salary packages handed over to even freshers. Here’s a brief of their roles and responsibilities –  Digital Transformation As India is inching towards digital transformation, industries are dependent on cloud based solutions for artificial intelligence, data analytics and other emerging technologies. Cloud architects play an important role in implementing these strategies. Multi-Cloud and Hybrid Cloud Adoption A hybrid cloud is a kind of cloud technology that combines the features of a private cloud with a public cloud. It allows for the movement of data and applications between two cloud environments.  Multi-cloud refers to the application of cloud computing services from more than one cloud service provider.  Big Data and Analytics  As big data plays an essential role in making key business decisions, Cloud Architects must develop scalable and high-performance cloud infrastructure to implement data-intensive applications. Cloud Solution Architect Salary in India: Based on Industry The industry you are employed in has a significant impact on your remuneration as a cloud solutions architect salary in India. Salaries differ from one industry to another.  IT Services and Consulting The salary in IT services is competitive and depends on qualifications, certifications, and experience. Cloud solutions architect salary in India (four to seventeen years of experience) can be anywhere from Rs 9,00,000 to Rs 40,00,000 with an average salary of Rs 25,30,000 per annum. Cloud architect salary in India for freshers amounts to Rs. 7,00,000 per annum. Financial Services Cloud solutions architect salary in the banking sector can be anywhere between Rs 36,00,000 to Rs 46,00,000 per annum with an average salary of Rs 2,38,385 per month. Internet  Cloud solution architect salary in India in the Internet sector is highly rewarding. The entry level cloud architect salary can be anywhere between Rs 11,00,0000 and Rs 50,00,000, with an average annual salary of Rs 29,80,000.  Analytics and KPO The minimum salary in this sector amounts to about Rs 11,00,000 and the maximum can culminate to Rs 50,00,000 with the average cloud architect salary per month being around Rs 26,60,000 per annum in this field.  Azure Architect The role of an Azure architect is to design and implement a cloud strategy in coordination with a cloud architect. An Azure architect is one who works independently with businesses and technical stakeholders to detect roadblocks and obstacles in the corporate world. Some of the roles and responsibilities are defined as follows  They coordinate with clients to enable the successful implementation and stationing complex solutions.  Analyze systems and detect anomalies migrating to Azure cloud. Strong and comprehensive knowledge of firewalls, security, Redis cache, key vault etc. Developing Microsoft Azure solutions in adherence to project requirements and predefined criteria. Build and manage Azure cloud environment on behalf of clients. Azure architect salary in India ranges from Rs 11,00,000 to Rs 41,80,000 with an average salary of Rs 24,30,000 per annum.  Qualifications and skills needed for an Azure architect An Azure architect must fulfill certain conditions. Here are some important skills and qualifications required for an Azure architect –  A Bachelor’s Degree in Computer Science, Information Technology or a related field. Some corporations and employers may give preference to candidates with a postgraduate degree. Master scripting languages and programming languages as part of your academic curriculum. Familiarize yourself with databases like MySQL. Gain hands-on experience working with cyber security. If your domain is cloud, you have to have a sound knowledge of cybersecurity policies. Don’t neglect soft skills as they are essential when you move up the corporate ladder.Master Java programming language. Have knowledge on using open source tools like Docker, Redis and OpenStack. Gain thorough knowledge on at least one operating system (Linux, Unix or Windows) and integrated development environments. Become proficient in working with networking elements like HTTP, routers, switches, IP addresses, LAN/WAN technology, Transfer Control Protocol/IP. Become skilled in cybersecurity. If you work in the cloud domain, it’s integral that you have a solid understanding of best cybersecurity practices. AWS Solution Architect An AWS Solution architect helps businesses and corporations in building and implementing cloud solutions using Amazon Web Services. They brainstorm with potential clients to understand their requirements and deliver an effective solution. AWS Solution architect keeps a watchful eye on the promised solutions and resolve defects that emerge. An Amazon solutions architect will be involved in the technicalities, business decisions and workplace. AWS solution architects will hold key roles in cloud computing, networking and storage. These are an overview of skills that should be possessed by AWS Solution Architect Time Management Projects in the IT industry are bound by tight deadlines. Excellent time management skills are required in management and execution of multiple projects. Communication Abilities Two way communication should be established between internal and external stakeholders as well as end users. Excellent communication and interpersonal skills are required while solving problems of the corporations while developing cutting edge technologies. Leadership abilities and collaboration between teams IT professionals need to work well with their team members as well as function with the members in other departments. When the entire unit works cohesively and in perfect coordination, projects can be successfully executed and implemented. AWS architect salary in India ranges between Rs 2,80,000 to Rs 28,50,000 with an average salary of Rs 13,80,000 per annum. Cloud Architect Salary: Based on Department Engineering – Software & QA Department Software quality assurance is a way to enforce quality in a software. Software Quality assurance works in parallel with that of software development. It focuses on improving the process of developing software. Cloud architect salary in India in Engineering-Software & QA sector  ranges between Rs 7,80,000 to 42,00,000 with an average salary of Rs 25,80,000 per annum. Engineering – Hardware & Networks Hardware & Networking requires planning whether you are developing a system or a network. Planning and design streamlines the functioning of a system. A computer devoid of hardware cannot function and without the help of networking cannot connect with other systems. Salary for cloud architect in Engineering – Hardware & Networks sector ranges between Rs. 5,70,000 to Rs 36,50,000 with an average annual salary of Rs 25,20,000 per annum. Cloud Architect Salary: Based on Company Type Conglomerate Conglomeration takes place when one organization buys another organization and possibly other organizations after that. When a company acquires a stake or buys another company it’s called merger or an acquisition. A merger is considered to be between equivalent companies whereas acquisition takes place when one business buys the other. The salary for cloud architect ranges between Rs 13,00,000 to Rs 40,00,000 with an average annual salary of Rs. 27,80,000 per annum. Cloud Architect Role: Common Trends  1. What about the most common skills that companies ask from you as a cloud architect? This usually depends on the company you are working and the project you are working on. However, we do have a few stats to show you some skills that you definitely need to possess to do well in this field. More than 25% of employees employed in this role have cloud computing skills, which only makes sense considering the global cloud computing market trends that we discussed earlier in the blog. Other skills include solution architecture with 14% of employees and VMWare with 15% of employees.  2. Let us now see the age difference amongst employees working as cloud architects in different organizations. The average age of about 40% of cloud architects employed in different organizations across the country is 31-36 years. On the other hand, about 38% of employees working as cloud architects are aged 36-41 years. So this accounts for nearly 80% of all cloud architects in India. What could be the reason for this? Why don’t we have too many candidates that are in their early 20s or even in their late 20s? There could be several reasons. The cloud boom in India has only happened quite recently. So there were not too many people who were aware of how popular the field is and how it could guarantee them a stable and high paying job. People have very recently started considering a career in the cloud very seriously. This wasn’t the case about a decade or so ago. Another reason could be because of people making a career switch. There are many software engineers and people employed in other similar roles who have switched from their original careers to a career in the cloud, looking at the popularity, demand, and benefits that it offers. So more than 80% of total cloud architects in India falling in the 30+ age group could be because of this shift.  3. There are only a few institutions that are known for producing top cloud computing talent across India. Let us take a look at a couple of these names. About 7% of cloud architects that are currently employed at different organizations have acquired their educations from the Birla Institute of Technology and Science (BITS). The same goes for the online learning platform you should choose to take a course for more focused learning in this subject. It is about your career, so you can’t choose second-best, can you?  Source 4.Significant engineering experience is another common trend among Cloud architects. Its job descriptions depict a list of practical experience with the Cloud architectural decision-making skills. The engineering experience continues to be recorded as at least a desired characteristic, if not a severe requirement. This applies to several IT roles. Although experience requirements always vary, you must be careful. You require some seasoning in the engineering domain or other architecture-focused positions to stay competitive. Typically, cloud architect roles aren’t aimed at early-career IT professionals. The Cloud Architect aspirants with less experience may search for Junior Cloud Engineer or Cloud Engineer positions, or conventional IT job positions like “System Administrator” that come with straightforward responsibilities for a cloud-based system. 5.Another common trend of the Cloud Architect role is they work with people, not just technology. This job role prioritizes professionals with experience in contemporary methodologies and cultures, like DevOps and Agile. Usually, Cloud architects don’t have organizations report to them; however, they must instil change all through the systems. This trend reflects the strategic nature of present-day’s Cloud architects. These professionals are increasingly strategic, visible roles that connect or lead teams. Working with people is equally important as working with technology. This ability helps them grab a suitable job role with a praiseworthy cloud architect salary. 6.Programming expertise is another prominent trend in the Cloud Architect role. Employers typically choose Cloud architects with programming skills. This is one of the reasons why software engineering is a common path to Cloud architect roles. Cloud Architects must possess practical experience in scripting and how it could or should be used to run cloud systems. Kubernetes and YAML pairing is the best for the Cloud Architect role. A Cloud architect with excellent programming expertise can earn a great cloud architect salar 7.Knowledge of two or more cloud platforms is desirable by many employers. So, it has become a common trend for the Cloud Architect role. Many job openings related to Cloud architects need candidates with practical experience in at least one other platform apart from the core environment. The ability to seamlessly work on at least two or more platforms can help them earn a better solution architect salary. Cloud Architect Skills The basis of becoming a cloud architect is to have a good understanding of how cloud computing works. That’s the basic necessity. There are other technical areas that you will be required to excel in.  You need working knowledge of operating systems, including Windows, Linux, Ubuntu, Solaro, and Unix. The least requirement is to be good in at least one of these operating. If you have worked as an architect or administrator in the operating systems that we just mentioned, you will find the transition a lot easier. Basic understanding of programming or scripting languages is important. This is not a must-have skill but something that will certainly help. Other technical and soft skills as suggested by Gartner include Application architecture Integration architecture Outsourcing and internal hosting Security Automation and orchestration ITSM/ITOM Communication and collaboration Finance and legal experience Program leadership Vendor management Also Read: What Are The Skills to Become a Cloud Engineer ?? Read our Popular Articles related to Software Development Why Learn to Code? How Learn to Code? How to Install Specific Version of NPM Package? Types of Inheritance in C++ What Should You Know? How can Cloud architects improve their skills and earn better salaries? Cloud architects should continually improve their skills to become more successful in their careers and earn better salaries. Let’s look at the following ways: Gain some experience: It is always advisable to gain some experience as a systems or network administrator, or other relevant roles that can improve your cloud computing knowledge. You can hone your hard skills by working as a technical contributor or technical expert before transitioning to Cloud architecture. You can even work in management for 1-2 years and earn a decent solution architect salary in India. Enrol in professional courses and become certified: You can earn one of the relevant certifications and attain industry knowledge by collaborating with software or product vendors. Getting professionally certified showcases your cloud computing talents to potential employers. Moreover, it also shows your proactive nature for upskilling as a professional. You can choose certification courses focused on cloud architecture or specific cloud platforms. Earn higher degrees: Another great way you can adopt to qualify for a well-paying job prospect is to get an advanced educational degree. It provides the necessary technical knowledge to become a specialized Cloud architect. For instance, earning a master’s degree in computer science or a relevant field allows you to learn and practice or test procedures or programming languages, depending on the specialization. Tips Cloud Architecture can incorporate in the workplace: Here are some effective tips on how to apply your skills as a cloud architect in the workplace. Following them help you to earn a decent solution architect salary in India. Actively listen to the client to discern their problems and derive Cloud solutions. Analyze all details pertaining to your projects. It helps decrease any vulnerabilities that security and authority may find. Lead your team in preparing proof-of-concept for using cloud infrastructure from concept to implementation. Evaluate costs and know how you may obey a budget and design cloud tactics for cloud adoption. Conclusion A cloud architect is one of those job roles that will remain in high demand for some time to come. With the cloud computing field expected to grow exponentially in the next few years, becoming a cloud architect is the best thing you can hope for your career right now. It’s not only a great opportunity to have a high-paying job but also to gain first-hand experience of working with new and exciting technologies. Our course will teach you the basic and advanced concepts of cloud computing along with the applications of these concepts. You will learn from industry experts through videos, live lectures, and assignments. Moreover, you’ll get access to upGrad’s exclusive career preparation, resume feedback, and many other advantages. Be sure to check it out.
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by Pavan Vadapalli

14 Feb 2024

Cloud Engineer Salary in India 2024 [For Freshers & Experienced]
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Considering how the global cloud services market is expected to grow by 17%, the demand for cloud engineers has increased manifolds. According to a report published by Fortune Business Insights, the global cloud computing market is estimated to grow by 17.9% by the years 2022-2028. This is good for all you cloud engineering aspirants out there! According to ZipRecruiter, you can expect your salary as a cloud engineer in India to range between $140k and $250k. The market is booming, and it’s time for you to upskill yourself for the industry needs. Let’s now take a look at cloud computing salary trends to get a better insight into what you can expect in the coming years. What is cloud computing? Cloud computing refers to internet-oriented computing that grants access to shared computer processing capabilities and information to devices on request. This method involves storing, retrieving, and overseeing data and software online rather than solely on your local machine. Cloud services present a more effective and economical approach to managing your IT infrastructure. By exclusively paying for the resources you consume, you can maintain low operational costs until you decide to expand in tandem with the growth of your business. Those in this field are expected to get a good cloud computing salary in India. What is a cloud engineer? A cloud engineer is responsible for formulating, crafting, and maintaining cloud-centric resolutions tailored to enterprises. They collaborate closely with clients to grasp their requirements and devise personalised remedies to enhance business functions. Proficiency in technical understanding and adeptness in project coordination and client interaction is imperative for cloud engineers to excel in their roles.  What Does a Cloud Engineer Do? An adept Cloud Engineer takes charge of technology-related tasks, encompassing the conception, execution, and administration of cloud infrastructure and services. Their focus revolves around managing the technical aspects of cloud computing and constructing and sustaining the foundation built upon cloud technology. Within the capacity of a Cloud Engineer, the role encompasses the identification and fusion of both private and public cloud computing services to ensure the organisation’s operations remain secure and free of errors. Furthermore, deploying applications, monitoring continuous performance, and optimising cloud environments fall within their purview. Through collaboration with interdisciplinary teams, they are entrusted with resolving challenges, implementing optimal practices for cloud security and cost-efficiency, and staying abreast of the latest progressions within cloud technologies. The ongoing enhancement of the cloud infrastructure to align with organisational requisites also falls squarely under their responsibilities. Outlined below are several day-to-day activities undertaken by cloud engineers, and they also get a decent cloud computing salary in india: Transitioning an organisation’s computer system data or infrastructure to their designated cloud systems. Systematising constituent elements of cloud infrastructure, including networking and security services. Crafting applications and databases that are tailored for operation within the cloud environment. Vigilantly overseeing cloud management and data storage services. Assuring the safety and security of the data housed within the cloud framework. Enrolling, supervising, and delivering customer services in instances of cloud-related predicaments. Types of Cloud Engineering Roles and Responsibilities Let’s delve further into the detailed job descriptions for each role that offer a decent cloud computing salary in india. Cloud Developer As the title implies, a cloud developer is tasked with coding and formulating applications, necessitating a comprehensive understanding of cloud architecture. Their responsibilities encompass the entire application development lifecycle, from crafting applications to deploying and resolving issues in cloud-based apps. Cloud developers are proficient in writing, rectifying, and troubleshooting code modules. System Operating Engineers SysOps Engineers anticipate potential issues that may emerge during the operation of applications. They strategise backup plans to address unforeseen situations and implement precise access controls to uphold the integrity of the organisation’s data. Following application development, they take on the role of system administrators. A prerequisite for this role is a solid system monitoring and auditing foundation. The Growing Demand for Cloud Engineers  Enterprises driving cloud initiatives undoubtedly require the right talent to execute their plans successfully. Sourcing such individuals can be a formidable task, often resulting in skill gaps. This scarcity of proficient experts consequently intensifies the demand for cloud-related skills as companies vie for a limited talent pool. Forecasts predict this demand will persist, with Gartner estimating that most enterprise IT expenditure in key markets will transition to cloud services by 2025. This notable trajectory underscores that the cloud has evolved beyond a passing trend to become a prized technology in which major players are heavily investing. The surge in demand for cloud engineers is evident in the evolving landscape of IT, driven by the expanding adoption of cloud computing solutions. Organizations are actively seeking skilled professionals to navigate and optimize cloud infrastructure, resulting in competitive cloud engineer salaries, particularly in India. Freshers entering the field of cloud computing find lucrative opportunities, with specific roles like cloud engineer offering attractive salaries. The demand for cloud computing jobs for freshers in India underscores the industry’s recognition of the need for foundational skills, and corresponding salaries reflect the competitive nature of this job market. Encouragingly, embarking on a ‘cloud computing’ career path doesn’t necessarily entail abandoning your current skill set and commencing anew. In reality, many of your skills and knowledge can be applied. For instance, if you currently function as a system manager overseeing Linux servers, your role might pivot to encompass managing Linux systems within a cloud environment rather than on-premises. Similarly, if you’re responsible for procuring physical servers for your data centre, your expertise would extend to selecting the suitable CPU capacity, instance type, and scaling alternatives to meet your requirements. Check out our free courses to get an edge over the competition. Salaries of cloud engineers in India vary based on factors such as expertise and the employer. Tech giants like Google India offer competitive remuneration, emphasizing the value placed on cloud engineering skills. Professionals with a diploma in cloud computing witness enhanced salary prospects, given their comprehensive understanding of cloud technologies, a crucial asset in meeting the growing demand for cloud expertise. The demand for cloud security engineer salary and cloud data engineer salary is also on the rise, contributing to the overall growth in the cloud engineering sector. AWS cloud engineer salary, indicative of the prominence of Amazon Web Services, showcase the competitive compensation offered to those specializing in specific cloud platforms. The rising demand for cloud engineers is driving competitive salaries, making it a great time for individuals with cloud expertise to thrive in the IT industry. Featured Program for you: Advanced Certification in Cloud Computing Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript Cloud Computing Salary Trends 2024 A report by International Data Corporation (IDC) states that the expenditure on public cloud services and infrastructure will go twice as much as it today by the end of 2024. The study also indicated that by the end of the year 2024, public cloud spending is expected to reach around $500 billion, with a compound annual growth rate of 22.3%.The number is huge! No wonder the average salary of cloud engineers is expected to increase! Here are some salary trends that will give you a clear idea of the future of cloud engineers: In a report by Gartner, in 2018, the average salary of cloud engineers was $146,530, while only two years ago (in 2016), this number was at a mere $124,300. That is a jump of a little over $22,000! By 2023, 83% of enterprise workloads will be stored in the cloud. Featured Program for you: Advanced Certification in Cyber Security So, what are the reasons for this increase in cloud adoption in the IT industry? Resource utilization flexibility Perhaps one of the biggest benefits that this platform offers is the great flexibility for all businesses. When data is being stored in the cloud, it makes access much easier for all company departments. Furthermore, companies can now also pay only for the space they need without bearing any additional expenses. This is especially beneficial for those companies that witness rapid growth frequently. Cost-effectiveness of the cloud Running a business is undoubtedly a tedious job since it involves various kinds of tasks, like collecting employee details, payment processing, storing company data, and much more. With the help of cloud computing services, all these tasks can be carried out easily and efficiently, without having to hire more employees. This, in turn, helps companies reduce their businesses’ overall costs. Furthermore, as the business grows, the capacity of the cloud can also be increased accordingly without the need to pay more. Lower risk Yet another problem faced by most companies is the risk of breaches or hacks in their laptops and devices, which can potentially lose all the data that has been stored. With the help of cloud services, all the lost data can be recovered quite easily. Also, cloud services offer companies the ability to store their data at multiple locations as backups.  Data security Most cloud service providers, like AWS, and Microsoft Azure, constantly update their platforms with the latest security patches. This ensures that the essential data is fully protected without the fear of security breaches or threats.  Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses Easy collaboration Cloud services help to boost business expansion. They provide business owners with various tools, with the help of which employees can work together on documents or other data types that are stored outside the company firewall. Some of the best examples of the same might include, Dropbox, Yammer, and Google Apps.  Performance and Support Unlike most other services offered by onsite IT infrastructure, which can be quite complicated at times, cloud platforms provide a wide range of explicit services that increases the performance, and reliability of any business. Furthermore, business owners also enjoy 24*7 hours of assistance with the help of cloud computing platforms.  Environment-Friendly Switching to cloud computing can decrease the carbon footprint of an organisation, since they no longer have to invest in large equipment that consume more energy.  Competitive Advantage With each passing year, the adoption rate of cloud computing services is increasing. Businesses who have already adopted this technology are not only enjoying the benefits of the same but are also able to stay one step ahead of their competitors.  These are the reasons that companies are inclining towards adopting cloud technologies to store and operate their data. Innovation Acceleration Innovation acceleration in the IT industry has been significantly propelled by the widespread adoption of cloud computing. As organizations leverage cloud technologies, professionals with a diploma in cloud computing witness increased demand and competitive salaries. This educational background equips individuals with the skills necessary to harness the transformative power of the cloud, fostering innovation across various sectors. The cloud developer salary reflects the critical role they play in driving innovation within cloud environments. Simultaneously, the demand for cloud security engineers has surged as organizations prioritize strong security measures in their cloud infrastructure. These professionals are entrusted with safeguarding sensitive data and ensuring compliance.  The cloud security engineer salary is reflective of the critical nature of their role in maintaining a secure and innovative cloud ecosystem. As innovation continues to be a key driver in the IT landscape, the synergy between cloud education, development, and security expertise remains instrumental in shaping the industry’s forward momentum. Streamlined Management and Automation Streamlined management and automation have become pivotal in the IT industry’s evolution, driven by the increasing complexity of cloud environments. Cloud engineers, with their expertise in managing cloud infrastructure, command competitive cloud developer salary as organizations prioritize efficiency through automation. AWS cloud engineer salary professionals equipped with a diploma in cloud computing play a crucial role in this landscape. Their educational background prepares them to navigate the complexities of cloud technology, contributing to the streamlined management of resources and processes. As a result, the diploma in cloud computing salary prospects are enhanced, reflecting the value they bring to organizations seeking optimized and automated cloud operations. The cloud engineer salary is influenced by their proficiency in implementing automation tools, ensuring efficient resource utilization, and reducing manual intervention. The ability to streamline management processes through automation is a sought-after skill, and cloud engineers with this expertise are well-compensated for their role in enhancing operational efficiency and reducing the likelihood of errors in cloud environments. In an era where agility and optimization are crucial, the intersection of cloud education and automation skills is a key driver of success in the cloud engineering sector. Business Continuity and Disaster Recovery In cloud computing, business continuity and disaster recovery have become crucial aspects, shaping organizational resilience and requiring skilled professionals. Cloud engineers, pivotal in implementing strong BCDR strategies, command competitive salaries, and this holds true for both experienced individuals and those entering the field. Cloud computing salary in India for freshers reflects the industry’s recognition of the importance of foundational skills, with variations based on roles like cloud engineer and cloud data engineer. As organizations recognize the pivotal role of cloud technology in fortifying BCDR capabilities, salaries in the cloud computing domain, especially in India, continue to be a testament to the strategic importance placed on skilled professionals driving business continuity and disaster recovery efforts. Learn Software Engineering Courses online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career. Now let’s look at…. Average Salary for Cloud Engineers in India As per Indeed’s report of January 2020, the average cloud engineer salary in India is Rs 7,51,756 per annum. According to the report published by Payscale, the average salary of a cloud solutions engineer in India is estimated to be Rs. 838,450 per year. This data was calculated by analyzing 228 salaries submitted to Indeed in the last three years.  This is likely to increase significantly in the coming years considering the exponentially increasing demand for cloud engineers and the lack of supply. But this, again, is quite subjective. The right way to know what you’re capable of is to see cloud engineer salaries in India according to job titles. The average Google cloud engineer salary in India ranges from Rs17.1 lakhs to 21.9 lakhs per year. Source Cloud Engineer Salaries in India: Based on Job Role In cloud-related fields, there are several trending job profiles – Solutions Architect, SysOps Engineer, and DevOps Engineer. These titles are given to cloud engineers who have a validated certification from cloud providers like AWS, Azure, and GCP. Each certification takes care of different areas of cloud computing. It’s basically a specialization after becoming a cloud engineer. Now let’s look at the average salaries of each of these cloud engineers. Job Role Average Salary Solutions Architect ₹6,46,077 DevOps Engineer ₹7,13,797 SysOps Engineer ₹8,35,000 While this gives you a clear idea about the average salaries of cloud engineers as per specific job profiles, this still lacks some information. Source As you know, in India, salaries are also quite dependent on the location of the job. So, let’s look at…. Cloud Engineer Salaries in India: Based on Location Karnataka, Mumbai, Bangalore and Tamil Nadu are considered the IT hubs in India. The current cloud engineer salary Bangalore stands at a total amount of  Rs 6,25,017 lakhs per year. The reason for varying salaries for cloud engineers in different locations is that the demand might vary with location.  So let’s see how much cloud engineers make when they work in these IT hubs. Other than the cloud engineer salary Bangalore, the following list includes Karnataka, Maharashtra, and Tamil Nadu as well.  Job Location (State) Average Salary Karnataka ₹9,14687 Maharashtra ₹7,19,119 Tamil Nadu ₹4,27,000 If this doesn’t satisfy you, you would be delighted to see that some of the major cloud engineer recruiters offer amazing salaries to outstanding candidates. Source In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses upGrad’s Exclusive Software and Tech Webinar for you – SAAS Business – What is So Different? document.createElement('video'); https://cdn.upgrad.com/blog/mausmi-ambastha.mp4   Average Cloud Engineer Salaries Offered by Top IT Companies Depending upon the organization you go to, average cloud engineer salaries vary largely. So if you are wondering what is Google cloud engineer salary in India, or Microsoft cloud engineer salary, you should definitely take a look at the following salaries offered by top companies in India.  Company Average Salary Nivio Technologies ₹18,53,084 HCL Technologies ₹7,00,000 Microsoft ₹14,00,000 Adobe ₹7,60,000 Microland ₹13,45,871   Source Now, what if you gain some experience and become a highly skilled cloud engineer? Cloud Engineer Salaries in India: Based on Experience As you climb the ladder, your salary increases as a cloud engineer. The better the organization you work in, the more are the chances of getting an excellent salary hike. So you might be wondering what is the cloud security engineer salary in India. Don’t worry, we are here to answer your question. The mentioned below list highlights the cloud computing salary for the post of a cloud security engineer salary in India based on experience. Let’s look at the average cloud security engineer salary in India based on experience. Experience Average Salary 0-3 years ₹12,41,000 4-6 years ₹17,44,817 – ₹19,00,369 It looks crazy, doesn’t it? In only four years, you can expect your salary to go thrice as much as you would be earning as a fresher. That said, not everything in life comes easy. You need to hone your skills and be updated with the latest technologies in the field. Source So, let’s see what all cloud skills are in demand for 2024. Also read: Data Scientist Salary in India Required Cloud Engineering Skills in 2024 While the demand for cloud engineers is on the rise, it doesn’t mean that you can get through without being well-versed in certain areas. So, if you really want to make good money as a cloud engineer, here are a few must-have skills for 2024. Cloud Security Certification With time, organizations have become less and less skeptical of hosting their data in the cloud, given to the significant improvement in cloud security. To ensure that the data in the cloud is safe and secure, organizations look for cloud engineers with specialized cloud security skills. It’s best to get a certification in cloud security and become a Certified Cloud Security Professional (CCSP) to gain an edge in the market. Knowledge of Machine Learning (ML) and Artificial Intelligence (AI) In 2024, the scope of ML and AI in cloud computing is huge, so much so that the market is forecasted to grow from $1.4B in 2017 to $8.8B. This is due to the birth of new technologies related to data integration, analysis, and aggregation, along with more scalable clouds. In such a market, it’s best to complete a course in Data Science, MCSA Machine Learning, or MCSE: Data Management and Analytics. You will then be able to incorporate your ML skills in the cloud. Cloud Migration and Deployment Numerous organizations are hoping to move different applications to the cloud. Cloud migration comes with risks and can be a challenging procedure, considering how there is a good chance of data loss.  Inappropriate migration regularly leads to business downtime and data vulnerability. To add to the difficulties, organizations overall keep on battling with the absence of gifted assets to help achieve these exercises. So, in the event that you are a cloud engineer, or somebody hoping to get into cloud computing, you will need to consider learning how different cloud platforms, particularly AWS, Azure, and Google Cloud operate.  Serverless Architecture  The basic cloud server foundation must be overseen by cloud engineers inside a server-based design. Be that as it may, the clouds today comprise industry-standard innovations and programming languages that help in moving serverless applications from one cloud vendor onto the next.  There are numerous courses in serverless application development that you can take up and become a proficient cloud engineer with serverless architecture skills. Enhancing Database Skills Learning database languages – SQL, MySQL, MongoDB, and File system like Hadoop – can be of great benefit if you want to get into cloud computing. These will help you understand how to store, manage, and access the data stored in the cloud. Learning Modern Programming Languages PHP, Java, and .NET have become obsolete today in the presence of Perl, Python, and Ruby. So, if you want to up your game and get a job that pays you decent money, you need to learn any of these modern languages. Mastering these skills will give you a much better chance of landing a job that pays well in the organization of your dreams. DevOps DevOps is one of the most popular frameworks for cloud engineering. Therefore, having a basic understanding of DevOps practices is a must-have skill for all employees. AWS in particular is one of the most sought-after skills by cloud providers and can significantly affect the cloud computing salary.  Web Services And APIs All budding cloud engineers are expected to have knowledge of open standards such as WSDL, UDDI, XML, and SOAP. Furthermore, they also should have a basic understanding of how application programming interfaces are engineered. These skills directly influence cloud security salary in India. Leveraging most of these will ensure you only receive lucrative career opportunities as a cloud computing professional.   Read our Popular Articles related to Software Development Why Learn to Code? How Learn to Code? How to Install Specific Version of NPM Package? Types of Inheritance in C++ What Should You Know? Edge Computing Edge Computing is a rapidly evolving field at the intersection of cloud computing and localized data processing. As businesses embrace this paradigm shift, professionals skilled in Edge Computing are witnessing substantial increases in their salaries, mirroring the broader trends in cloud-related roles. In India, where the cloud computing industry is growing, the salary landscape for Cloud Engineers and related roles is particularly dynamic. Cloud engineers, especially those adept in AWS, Azure, or GCP, command competitive salaries, with variations based on experience and specialization. Freshers entering the domain of cloud computing can expect favorable remuneration, with salaries for cloud computing jobs reflecting the industry’s demand. Notably, cloud security engineers and cloud data engineers are in high demand, attracting premium salaries owing to their critical roles in ensuring data integrity and safeguarding against potential threats. Google India, being a prominent player in cloud services, offers competitive salaries for cloud engineers. Moreover, certifications, such as those in AWS or Google Cloud, can significantly enhance one’s earning potential, contributing to a lucrative cloud computing salary in India. As businesses continue to invest in cloud technologies, cloud engineers, with expertise in edge computing and associated skills, are poised for rewarding career trajectories in the Indian market. Hybrid Cloud Expertise Achieving expertise in hybrid cloud is increasingly valuable, particularly in India’s tech landscape. Cloud engineer salary or azure cloud engineer salary has variations based on experience, skills, and specific platforms. Freshers entering the cloud computing domain in India can get lucrative opportunities, and those with a diploma in cloud computing receive distinct salary considerations. Major players such as Google offer enticing packages, contributing to the rising cloud engineer salary in India. For specialized roles, cloud security engineers and cloud data engineers are pivotal in safeguarding and optimizing cloud environments, respectively. AWS, Azure, and GCP data engineers are highly sought-after, each with its own salary benchmarks. Professionals adept in cloud development also find themselves well-compensated. As cloud computing continues to dominate the tech industry, the salary of cloud computing in India reflects the growing importance of these roles. The hybrid cloud expertise an AWS engineer brings to the table positions them for a lucrative AWS engineer salary. Microservices Architecture Microservices architecture plays a crucial role in cloud computing. For freshers entering the field of cloud computing in India, jobs in this domain offer promising salaries. A diploma in cloud computing further enhances one’s prospects, unlocking opportunities for increased remuneration. As organizations adopt microservices to enhance scalability and agility, roles such as cloud engineers, cloud security engineers, and cloud data engineers gain prominence. A cloud engineer salary in Google India is very competitive. Similarly, AWS and Azure cloud engineers are in high demand, with their salaries reflecting the critical nature of their roles in managing cloud infrastructure. The intricacies of microservices development also elevate the value of cloud developers who specialize in creating and optimizing distributed systems. The AWS cloud engineer salary, as well as those working with GCP, showcase the industry’s recognition of their expertise in cloud computing. The microservices architecture combined with cloud computing not only defines the modern software landscape but also offers enticing career prospects with competitive salaries for freshers and experienced professionals alike. Kubernetes Management In 2023, proficiency in Kubernetes management is crucial for cloud engineers. As organizations increasingly adopt cloud computing, expertise in orchestrating containerized applications with Kubernetes is in high demand. This skill ensures efficient deployment, scaling, and management of containerized workloads, enhancing the overall agility and scalability of cloud-based systems. For those entering the field, cloud computing salary for freshers in India is competitive, with considerations for various roles like cloud developer, AWS engineer, and Azure cloud engineer. A diploma in cloud computing can be a stepping stone, with salary increases based on the specific expertise gained, such as cloud security engineering or cloud data engineering. Salaries in the cloud industry vary, with roles like AWS engineer, Azure cloud engineer, and GCP data engineer commanding different pay scales. A GCP data engineer salary is reflective of their skills and experience in the evolving landscape of cloud computing. Multi-Cloud Management In 2023, proficiency in multi-cloud management is crucial for cloud engineers. As organizations increasingly embrace multiple cloud platforms, the ability to seamlessly combine and optimize workloads across these environments is essential. With good cloud computing jobs for freshers salary structure, graduates are enticed to enter the field. Acquiring a diploma in cloud computing provides a foundational understanding and can positively impact salary prospects. Moreover, expertise in cloud security and data engineering within a multi-cloud context is highly valued, with professionals in these roles commanding competitive salaries. Azure cloud engineers, specializing in Microsoft’s cloud platform, are in demand, and the Azure cloud engineer salary  reflects this market need. Professionals adept at managing and optimizing data workflows across diverse cloud environments, enjoy competitive cloud data engineer salary. As the cloud landscape evolves, cloud engineers with multi-cloud proficiency are well-positioned to navigate and contribute to the industry’s ongoing advancements. Conclusion In this blog post, we saw that the cloud industry offers outstanding career opportunities to cloud computing aspirants. And learning how to integrate analytics and visualization skills in the cloud will act as a cherry on the top in your resume. The above-mentioned article contains all the answers to your queries regarding the cloud security salary in India.  Surely, cloud engineers have a bright future ahead. With years passing by, the demand for cloud engineers is only going to increase. So, brush up your knowledge of the cloud and take up our course in cloud computing to add certification to your profile! At upGrad, we offer the Executive PG Program in Software Development Specialisation in Cloud Computing program. It lasts only for 13 months and is completely online so you can complete it without interrupting your job. Our course will teach you the basic and advanced concepts of cloud computing along with the applications of these concepts. You will learn from industry experts through videos, live lectures, and assignments. Moreover, you’ll get access to upGrad’s exclusive career preparation, resume feedback, and many other advantages. Be sure to check it out. If you know someone interested in learning about cloud technologies, do share this article with them.
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by Kechit Goyal

26 Jan 2024

Types of Cloud Service Models & Which One Should You Choose?
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Cloud Computing is offered in three diverse help models which each fulfil an extraordinary arrangement of business necessities. These three cloud service models are referred to as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Check out our free courses to get an edge over the competition  What Are Cloud Service Models? Cloud service models are quickly developing business models that transform and streamline the client-business relationship from the old, traditional ownership model to the one considering services on a non-ownership basis.  What is Cloud Computing? Cloud computing is the on-request accessibility of PC framework assets, mainly information stockpiling (cloud storage) and figuring power, without direct dynamic administration by the client. Cloud Computing is offered in three diverse help models which each fulfil an extraordinary arrangement of business necessities. These three cloud service models are referred to as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Check out upGrad’s Java Bootcamp Learn Software Development Courses online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career. Software as a Service (SaaS) Software-as-a-Service, or SaaS for short, is a cloud-based strategy for giving programming to clients. SaaS clients buy into an application instead of buying it once and introducing it. Clients can sign into and utilise a SaaS application from any viable gadget over the Internet. The real application runs in cloud workers that might be far eliminated from a client’s area. Characteristics of SaaS It is run out of one main location.  Directly hosted on a distant server.  The payment mode for the services here is pay-per-use It can be reached via the Internet.  Updates to software and hardware are not the responsibility of SaaS users. What are the preferences and weaknesses of utilising SaaS? The SaaS model has various advantages and disadvantages, even though for present-day organisations and clients, the professionals of SaaS regularly exceed the cons. Here is a portion of the preferences and weaknesses of utilising SaaS applications: Access from anywhere, on any device. Access from anyplace, on any gadget. Regularly, clients can sign into SaaS applications from any gadget and any area. Clients don’t have to reinstall SaaS applications or buy new licenses each time they change to another gadget. Check out upGrad’s Full Stack Development Bootcamp (JS/MERN)  No need for updates No requirement for updates or establishments. The SaaS supplier updates and fixes the application on a progressing premise. Favourable position: Scalability The SaaS supplier handles scaling up the application, for example, adding more information base space or more register power as use increments. Preferred position: Cost reserve funds SaaS reduces down on interior IT expenses and overhead. The SaaS supplier keeps up the workers and framework that help the application, and the main expense to a business is the membership cost of the application. Burden: Vendor lock-in. Now is the ideal time-devouring and costly to move to another application if an association’s whole information base is put away inside the old application. Impediment (for ventures): Security and consistency With SaaS applications, the obligation regarding ensuring those applications and their information moves from inside IT groups to the outer SaaS suppliers. For little to medium-sized organisations, this is (to a lesser degree) a weakness, as enormous cloud suppliers ordinarily have more assets for setting up solid security. What are a few instances of SaaS organisations? As referenced above, online email suppliers fit into the SaaS classification. Other notable SaaS organisations incorporate Salesforce, Slack, MailChimp, and Dropbox. Read: Cloud Computing Ultimate Guide Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript Platform as a Service (PaaS) In the Platform-as-a-Service (PaaS) model, designers lease all they require to construct an application, depending on a cloud supplier for development tools, infrastructure, and operating systems. This is one of the three cloud service models of distributed computing. PaaS immeasurably disentangles web application development; from the engineer’s point of view, all backend management happens in the background.  Characteristics of PaaS PaaS provides a browser-based development environment.  It enables the developer to establish a database and change the application code using either point-and-click tools or an API.  Web service interfaces, scalability, and security are all included with PaaS.  Additionally, PaaS offers web services interfaces that let us integrate applications running on different platforms.  What is remembered for PaaS? The primary contributions included by PaaS merchants are: Middleware Operating systems Database management Infrastructure Middleware Stages offered as a help ordinarily incorporate middleware, so designers don’t need to fabricate it themselves. Middleware is vital for running an application; however, end clients don’t communicate with it. Operating systems A PaaS seller will give and keep up the operating framework that designers take a shot at and the application runs on. Databases PaaS suppliers control and look after databases. They will, for the most part, give designers a database management framework too. Infrastructure PaaS is the following layer up from IaaS in the distributed computing administration model, and everything remembered for IaaS is likewise remembered for PaaS. A PaaS supplier either oversees workers, stockpiling, and actual server farms, or buys them from an IaaS supplier. Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses For what reason do designers use PaaS? Quicker and ideal opportunity to showcase With PaaS, they should simply compose the code and test the application, and the seller handles the rest. One climate beginning to end. PaaS grants engineers to construct, test, investigate, convey, host, and update their applications all in a similar climate. This empowers engineers to be certain a web application will work as facilitated before their delivery appropriately, and it disentangles the application development lifecycle. In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses Cost PaaS is savvier than utilising IaaS by and large. Overhead is decreased because PaaS clients don’t have to oversee and arrange virtual machines. The simplicity of permitting. PaaS suppliers handle all permitting for operating systems, development tools, and all that else remembered for their foundation. Also Read: Top Cloud Computing Models Explained What are the expected disadvantages of utilising PaaS? Merchant lock-in It might turn out to be difficult to switch PaaS suppliers since the application is constructed utilising the seller’s tools and explicitly for their foundation. To switch sellers, designers may have to either revamp or vigorously change their application. upGrad’s Exclusive Software Development Webinar for you – SAAS Business – What is So Different? document.createElement('video'); https://cdn.upgrad.com/blog/mausmi-ambastha.mp4   Security and consistency challenges In a PaaS engineering, the outer merchant will store most or the entirety of an application’s information, alongside facilitating its code. Now and again the merchant may store the databases through a further outsider, an IaaS supplier. Infrastructure as a Service (IaaS) IaaS is otherwise called Hardware as a Service (HaaS). It is a figuring foundation overseen over the web. The principle bit of leeway of utilising IaaS is that it encourages clients to stay away from the expense and unpredictability of buying and dealing with the actual workers. Characteristics of IaaS These virtual machines come with pre-configuration with different operating systems, like Solaris, Linux, and Windows.  Resource availability on demand.  Simple on-demand scaling up and down of the computing resources. What are the Pros and Cons of IaaS? Pros of Iaas: Consumption-based hardware purchases are possible.  The supplier can deploy the resources at any moment to a customer’s environment.  The setting up of servers, networking, and storage can all be automated with ease.  Clients maintain total command over their underlying infrastructure.  Depending on your demands, it can be sized up or down.  Cons of IaaS: The fact that you’re in-charge means you’ll be responsible for restoring any lost data.  You must make sure that your operating systems and applications are reliable and offer the highest level of security.  IaaS companies only supply the servers and API; you are responsible for configuring everything else.  Additional As a Services To Know About Now that you know what is IaaS, PaaS, SaaS, explore some other crucial As a Services:  MaaS  (Monitoring as a Service) No matter where they are, it enables users to keep an eye on the condition of their vital applications. CaaS (Communication as a Service) It uses enterprise-level VPNs, PBX, VoIP, and Unified Communications in place of the pricey IT infrastructure management, hosting, and purchasing costs.  DaaS (Desktop as a Service) It guarantees a dependable, consistent user experience for the remote usage of programs, applications, and files wherever and whenever it is needed. DRaaS (Disaster Recovery as a Service) It is a cloud computing concept that offers protection from unnatural (or induced) disasters.  Cloud Service Models: Which One To Learn? Given the various types of cloud service models available, deciding which one to learn may seem confusing. Knowing, understanding, and familiarity with both PaaS and IaaS is essential for those who intend to work as system administrators.  But why learn both? That’s because PaaS always runs and operates on top of IaaS, irrespective of what you develop or deploy. However, one must comprehend Software as a Service (SaaS) if they intend to work as a consultant, like a financial consultant, or if they plan to contribute to a packaged program, like SAP, HRMS, etc.  Read our Popular Articles related to Software Development Why Learn to Code? How Learn to Code? How to Install Specific Version of NPM Package? Types of Inheritance in C++ What Should You Know? Conclusion Which one should you choose? Freedom to make it exactly how you want – IaaS is best —->SaaS is least flexible like an App on your phone where you must accept updates and changes.  The Effort to Set up and Maintain – IaaS is hardest —->SaaS is easiest because someone else does it for you. Cost – Varies by often when you do a full analysis the bundled SaaS is cheaper over the entire lifespan of the application. At upGrad, we offer the Executive PG Program in Software Development Specialisation in Cloud Computing program. It lasts only for 13 months and is completely online so you can complete it without interrupting your job. Our course will teach you the basic and advanced concepts of cloud computing along with the applications of these concepts. You will learn from industry experts through videos, live lectures, and assignments. Moreover, you’ll get access to upGrad’s exclusive career preparation, resume feedback, and many other advantages. Be sure to check it out.
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by Pavan Vadapalli

27 Jun 2023

[Infographics] How Does Cloud Computing Work? Different Cloud Models Explained
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What is Cloud Computing? The process of storing, managing, and processing data on a network of servers hosted on the internet instead of a local server or a personal computer is known as Cloud Computing. The cloud computing industry is expected to be worth an astounding $ 623.3 billion by 2023. Check out our free courses to get an edge over the competition.  Learn Software Development Programs online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career. How it Works Whenever a user makes a service request, for example, a storage request, database access request, or a computing request, the request is sent to the API gateway. An API gateway is a service provided by the Cloud Provider used to create, publish, maintain, monitor, and secure REST, HTTP, and WebSocket APIs. It provides a simple interface to a more complex system, that includes the servers and the databases, along with other services. The user can then execute the request and access servers and databases. Hence, through cloud computing, the user can work on their company’s servers from anywhere in the world. Check out upGrad’s Advanced Certification in DevOps  Different Cloud Service Models Cloud service models are divided into two types, deployment models and service models. A cloud deployment model reflects a particular kind of cloud system, characterized mainly by ownership, size, and access. A service model enables companies to offer services to other companies. Check out upGrad’s Full Stack Development Bootcamp (JS/MERN) Deployment Models   Private Models: In private models, computing services are provided either over the internet or a private internal network and only to select users.   Public Models: In public models, computing services are provided by third-party providers over the public internet, making them available to anyone who wants to use or purchase them.   Hybrid Models: It is a computing environment that combines a public cloud and a private cloud by allowing data, applications, and services to be shared between them. Service Models   SaaS (Software as a Service): Software as a service uses the internet to distribute third party vendor-managed software to its customers. Using SaaS apps tends to reduce software ownership costs by removing the need for technical staff to manage software installation, management, and upgrades, as well as reducing the licensing software costs. Some examples are Email, CRM, Collaborative, and ERP.   PaaS (Platform as a Service): It provides certain software with a platform. PaaS provides developers with a framework that they can build on and use to create custom apps. It is used for application development, decision support, web, streaming, etc.   IaaS (Infrastructure as a Service): IaaS is a way to deliver cloud computing infrastructures such as servers, storage, network, and operating systems. Through any cloud computing platform, customers can access those resources. Application development, decision support, web, and streaming are some examples Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript Cloud Deployment Models You might be wondering how does cloud computing work. Now, cloud computing offers various deployment models to suit different business needs. Understanding these models is crucial for organizations considering cloud adoption. Here are the key aspects of cloud deployment models: Public Cloud: The public cloud deployment model involves hosting services and infrastructure on shared resources accessible to the general public over the internet. It provides scalability, and cost efficiency and reduces the need for upfront investments. However, users have limited control over the underlying hardware and software. Popular public cloud providers include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Private Cloud: The private cloud deployment model involves dedicated resources that are exclusively used by a single organization. It offers enhanced security and customization options, making it suitable for sensitive workloads. Private clouds typically require higher upfront investments for infrastructure and maintenance. Examples of private cloud solutions are OpenStack, VMware vSphere, and Microsoft Azure Stack. Hybrid Cloud: The hybrid cloud deployment model combines both public and private cloud resources, allowing organizations to leverage the benefits of both. It offers flexibility, scalability, and cost optimization. Organizations can seamlessly move workloads between public and private environments to ensure optimal resource utilization. Proper integration between public and private cloud components is essential for efficient hybrid cloud operations. Examples of hybrid cloud solutions include Azure Hybrid Cloud, AWS Outposts, and Google Anthos. Community Cloud: The community cloud deployment model involves shared resources accessible to a specific community of organizations with similar interests or requirements. It allows organizations to share costs, enhance collaboration, and meet industry or regulatory compliance requirements. Examples of community cloud initiatives include government cloud services and healthcare information exchanges. Cloud Networking Once you have a clear idea about how does cloud computing work step by step, you would understand that cloud networking is vital in enabling communication between cloud resources, users, and external networks. Here are the key aspects of cloud networking: Virtual Private Network (VPN): VPNs establish secure connections over public networks, enabling remote users to access cloud resources. They ensure secure communication, remote access, and site-to-site connectivity. Load Balancing: Load balancing distributes incoming network traffic across multiple servers or resources to optimize performance and reliability. It improves scalability and high availability and uses intelligent traffic routing algorithms. Examples of load balancing services are AWS Elastic Load Balancer and Google Cloud Load Balancer. Software-Defined Networking (SDN): SDN separates the control plane from the data plane, allowing for programmable and centralized network management. It enables network agility, centralized control, and network virtualization. Inter-Cloud Connectivity: Inter-cloud connectivity establishes reliable and secure connections between different cloud service providers or data centers. It enables multi-cloud strategies, directs cloud interconnects and ensures low latency. Examples of inter-cloud connectivity solutions are AWS Direct Connect, Azure ExpressRoute, and Google Cloud Interconnect. Read: Cloud Computing Project Ideas & Topics  Benefits Cloud computing provides many opportunities for a company:  Comfort & Cost Reduction It enables you to set up what is essentially a virtual office to give you the flexibility to connect anyplace, any time. With the rising number of web-enabled devices used in today’s business world, it is easier to access the data. If you opt for Cloud Computing for your business, you can save costs by using your cloud computing service provider’s resources, rather than spending on purchasing and maintaining costly systems and hardware. Protection Cloud-based solutions are held within very secure data centers where physical access is strictly controlled. Vast quantities of computing resources can be provided in minutes, usually with only a few mouse clicks, allowing companies a lot of flexibility. Scalability Another benefit that Cloud Computing offers is Scalability. Your business can quickly expand or scale down your operation and storage needs, allowing flexibility as your requirements change. Your cloud computing service provider will do this for you, rather than purchasing and installing costly updates yourself. Using the cloud will free up your time, and you can continue to run your company. In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses Also Read: Top 7 Cloud Computing Applications in Real World Wrapping up At upGrad, we offer the  Advanced Certification in Cloud Computing program. Our course will teach you the basic and advanced concepts of cloud computing along with the applications of these concepts. You will learn from industry experts through videos, live lectures, and assignments. Moreover, you’ll get access to upGrad’s exclusive career preparation, resume feedback, and many other advantages. Be sure to check it out.
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by Pavan Vadapalli

20 Jun 2023

Cloud Computing Vs Edge Computing: Difference Between Cloud Computing & Edge Computing
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The increase in the popularity of the internet has enabled many internet-related services also to assert their importance. One of them is the Internet Of Things (or IoT). It is hypothesized that almost every device will be connected to the internet by the end of this decade. In a world where every device needs the internet to connect and, based on the connection, perform the tasks which they have been assigned with, latency becomes everything. Read how edge computing is one of the trending big data technology you can’t ignore. Latency is often called ping or the lag between the time taken from the time you give the instruction for an action to be performed and the time when it actually begins. If we are to follow the paradigm of cloud computing, the bandwidth requirement will be huge. Check out our free courses to get an edge over the competition. Since all the resources are essentially controlled by one primary server and server to client communication is the key in cloud computing, either the time a task takes to complete would be huge, or the required bandwidth will be if we use cloud computing for IoT devices. Edge computing comes into the picture to solve this issue, and here is the by far the most noticeable difference between edge and cloud computing.  Edge computing is another way to approach the whole idea of the cloud ecosystem. Edge computing allows the computations to be done in real-time, thus effectively reducing the lag or latency issues whatsoever. In edge computing, all the computing is done as close as possible to the device, which is generating the data as opposed to a central system first collecting the data and then processing on the data. To put things into perspective, let us take an example of a vehicle. If the car is tasked with calculating the amount of fuel it consumes automatically based on the data it gets from the plethora of sensors onboard, the computer behind this entire operation would be deemed an edge device. In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses So, to improve the performance of these edge devices, reduce the overall latency in operations, and reduce the amount of bandwidth that is required to make the computation, edge computing was conceptualized. Check out upGrad’s Full Stack Development Bootcamp (JS/MERN) Since both edge and cloud computing aims to deliver the required resources over the internet, to find the underlying differences and choosing one over the other could prove to be complicated. Let us first make the two terms very clear to ease your pressure and then pit them head to head edge computing vs. cloud computing.  Learn Online Software Courses online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career. Edge Computing To really understand the definition of edge computing and appreciate the reason for its existence, we must first take a look at the need; why did we need an alternative to cloud computing? It started with the growth of Internet-enabled “smart home devices,” or as we know it as IoT was on the rise. Learn more about edge computing. To enable or rather to provide computational capabilities to otherwise “dumb devices,” we had to connect them to the internet and install a number of sensors on them to gather data. Check out upGrad’s Java Bootcamp.   The massive amount of data generated by each of these devices also needs to be processed to gain meaningful insights and really make these internet-enabled IoT devices smart. To do tasks on the data, in cloud computing, the data would have been collected, and since it revolves mostly around a central server, there would be a time delay on both the ends. Time would be needed for the data collected by these devices to reach the central server to be processed, and the processed data would also take time in coming back to these devices hence introducing a latency. Another critical thing is if the data which is collected is massive, then a good internet connection or an adequate bandwidth would be required to accomplish this task. Thus, edge computing becomes an all-inclusive term that takes some of the critical computations required and pushes them closer to the device or the edge. Following a decentralized pathway, edge computing allows the required resources to be distributed among all the connected devices. If there is any need to collect data and do computation on the data in real-time, then edge computing should be preferred. The two main befits which edge computing brings to the table are the improved performance and low cost of operations.  Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses Benefits of using Edge Computing 1. Improved Performance The collection of data to be transferred to the cloud, edge computing also takes the data, adds some processing to it, then analyses the information, find out the necessary actions to be performed on the data, and finally completes the action it deems fit. All of this obviously happens locally and in fractions of seconds (milliseconds), thus improving the performance. 2. Reducing the cost of operations The main qualms that the tech community has with the whole cloud computing model are the extra costs associated with improving connectivity, migration of data, improving the bandwidth requirements, and reducing the latency. The edge computing model can easily counter all of these. When the edge computing model has used a continuum that goes from the device to the server is formed. This continuum is very valuable because it is capable of handling huge volumes of data. You would not need to have the costly gigabit connection to ensure that the data generated from these devices are actually processed and reach their end goal. Most companies and organizations prefer the edge computing model because of the improved performance and reduced cost of operations. Cloud Computing Cloud computing is essentially the service that allows the user to use a plethora of services like software, Integrated Development Environment (IDE), storage, servers, even hardware like Graphics Processing Unit or (GPU), or even Central Processing Units (CPUs) over the internet. There are three main characteristics of any vendor which deals in cloud computing: The Services or the resources that they provide have to be scalable. There is pay for only what you need, meaning the user only has to shell out money for the resources that they need at that time.  These vendors have to develop and manage the backend for the services that they provide. Based on the services that they provide, there are three different cloud computing models, which are essential to know to understand the paradigm of cloud computing properly. You will find all the three models listed below: 1. Platform as a Service or PaaS Platform as a service allows the users to buy their way into gaining access to the various platforms they can use to deploy their won software or the application they have developed to the cloud. Network access or even the operating system is not within the user’s control, and hence this can create some terrible constraints on the nature of work that you can accomplish. 2. Software as a Service or SaaS In this model, the customer only pays for access to use the software which is already hosted on the cloud. 3. Infrastructure as a Service or IaaS  In this model, most freedom is given to the user. You can pay to get complete control over the operating system, the applications hosted on the cloud, and the cloud’s storage. All this can be easily accomplished without the service provider actually handing you the key to their cloud.  Read: Cloud Computing Project Ideas  Benefits of using Cloud Computing Many challenges cloud computing faces, but that does not mean that cloud computing has no benefits to offer in the modern-day setting. You will find all the significant benefits of using cloud computing listed below: 1. Flexibility and Scalability of the services provided The technological stack of cloud computing allows users to start out small, thus saving making cloud computing very cost-effective in the beginning. You will also not be limited to the small start you had; you can upscale and add more features anytime you want. Similarly, you can also remove the components you think are no longer needed (or downscale) very quickly. Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript 2. Cloud computing is very reliable The services that use multiple websites have a fail-safe in any disaster. Thus, making cloud computing very stable. 3. Maintenance of cloud computing services The ones that provide you with cloud-based services they only tackle their entire cloud care. Performance and Latency: Improving Real-Time Computing Due to the centralized architecture of cloud computing, data transmission to and from a remote server frequently results in latency. However, edge computing brings calculations closer to the actual devices, allowing real-time processing and cutting down on latency. IoT devices can quickly analyze sensor data from a connected car to determine fuel use by utilizing edge computing, all while guaranteeing low latency. Cost Effectiveness: Cutting Connectivity and Bandwidth Costs For the movement and processing of enormous volumes of data, cloud computing depends on reliable network access and ample bandwidth. When dealing with big IoT implementations, this necessity may result in higher expenses for businesses. However, edge computing reduces bandwidth usage by dividing up computational power among linked devices. Because there is less need for pricey high-speed connections, firms can save a lot of money thanks to this decentralized strategy. Security Considerations: Juggling Edge Device Vulnerabilities and Protection When opposed to cloud computing, edge computing offers more security concerns. The security of individual edge devices becomes increasingly important as calculations move closer to the devices themselves. Advanced security measures must be implemented to protect the distributed computing environment. As they are in charge of managing the underlying infrastructure, cloud computing providers, by contrast, often provide thorough security safeguards. So, cloud computing frees them from the responsibility of protecting individual devices. Allocating Resources Efficiently: Meet Dynamic Demands The unmatched scalability offered by cloud computing enables companies to easily scale up or down their resources in response to demand. Instead of making large upfront investments, businesses can allocate processing power, storage, and other resources as needed. Edge computing, on the other hand, provides localized scalability, allowing individual devices to adjust and allocate resources in a flexible manner. This flexibility is especially helpful when cloud connectivity is patchy or inconsistent. The necessity for effective data processing has become critical in today’s linked world, where the Internet of Things (IoT) is booming. Two popular methods that meet this need are cloud computing and edge computing. Difference Between Edge and Cloud Computing The necessity for effective data processing has become critical in today’s linked world, where the Internet of Things (IoT) is booming. Two popular methods that meet this need are cloud computing and edge computing. One essential thing to keep in your mind as we discuss the difference between edge and cloud computing is that edge computing is not designed to replace the cloud computing completely, and neither will it be able to. The comparison of both is like comparing an SUV with racing sports cars. Meaning both are very good in their respective departments, but doing an edge computing vs. cloud computing comparison is unfair. With that being said, you will find all the significant differences in the table below:  Points of Difference Edge Computing Cloud Computing Companies which should use either of the two When you need low latency and the computational time has to be kept very low, edge computing is your ideal choice. So, companies that are neither too big nor too small and have budget constraints can easily opt for edge computing without giving it a second thought. This type of computing really shines when storage is your primary concern. So huge companies that deal with cloud storage should opt for cloud computing. The availability of coding and programming You can use many different programming languages, all with having different runtimes.  Generally, only one language is preferred, as the entire cloud has to run on it. Security There a need for a very sophisticated plan of securing the computers.  There is no need to have a solid security plan. Also Read: Cloud Engineer Salary in India When to Pick Edge Computing or the Cloud Cloud computing shines when large-scale data storage, centralized processing, and resource scalability are essential. It is appropriate for online services, machine learning, and data analytics applications. Contrarily, edge computing is perfect for applications that call for distributed processing, low-latency response, and real-time decision-making. Examples of use cases are autonomous vehicles, industrial automation, and remote monitoring systems. Some businesses might even use a hybrid strategy that combines cloud and edge computing to get the best results. Conclusion At upGrad, we offer the Advanced Certification in Cloud Computing program. It lasts only for 13 months and is completely online so you can complete it without interrupting your job. Our course will teach you the basic and advanced concepts of cloud computing along with the applications of these concepts. You will learn from industry experts through videos, live lectures, and assignments. Moreover, you’ll get access to upGrad’s exclusive career preparation, resume feedback, and many other advantages. Be sure to check it out.
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by Pavan Vadapalli

18 Jun 2023

Google Cloud vs AWS: Difference Between Google Cloud & AWS
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Globally, the cloud computing market is dominated by three giants – Azure, Google Cloud, and AWS. Today, we’re going to pit Google Cloud and AWS to get a neck-to-neck comparison of these two cloud computing platforms.  Google Cloud vs. AWS What is Google Cloud? Google Cloud is a suite of cloud computing services offered by Google. It is an assortment of various physical assets like computers and hard disk drives and virtual resources like virtual machines (VMs), contained in Google’s data centers across the world. These assets run on the same infrastructure that powers Google end-user products, including Google Search, Gmail, and YouTube.  Google Cloud offers IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and serverless computing environments for covering all enterprise storage and computing requirements. It offers a host of modular cloud services such as cloud computing, machine learning, data storage, and data analytics. Check out upGrad’s Full Stack Development Bootcamp (JS/MERN) What is AWS? AWS is a leading, on-demand cloud platform that offers more than 175 featured services hosted from data centers worldwide. It includes IaaS, PaaS, and also SaaS (Software as a Service) solutions. AWS is a comprehensive cloud framework because it offers a host of solutions like storage, analytics, networking, data migration, development tools, enterprise applications, etc. – all rolled into a flexible, scalable, and cost-effective model. You can use AWS products as per the pay-as-you-go model, meaning you only pay for the services you use.  Check out upGrad’s Java Bootcamp.   AWS boasts of having a massive and dynamic community. Not only is it secure, but it also allows you to utilize the latest technologies to power innovation.  Read: AWS Project Ideas & Topics Why AWS? Some of the reasons why companies should be using AWS are as follows: AWS offers infinite scalability, enabling organizations to adjust their resource allocation to meet demands. AWS also provides services that seamlessly duplicate data across many sites for increased reliability, including Amazon S3 for storage space and Amazon RDS for database records. Additionally, AWS offers services and tools for cost management, allowing companies to keep tabs on and handle their expenses. Organizations that scale services up or down can reduce expenses by adapting their infrastructure to meet requirements. AWS provides a wide range of cloud-based services, such as storage, computing, database systems, networking purposes, machine learning, analytics, and more. This way, companies will be able to develop, deploy, and manage all of their applications and programs entirely via the AWS platform, eliminating the need for numerous third-party service providers. The computing infrastructure offered by AWS is adaptable and customized, supporting a wide range of operating system versions, coding languages, and software designs. It is compatible with both the Windows and Linux operating systems and with numerous programming languages and coding platforms. AWS has taken thorough precautions to protect your applications and their contents. It offers encryption solutions, access and identity administration resources, network security functions, and certifications for compliance to assuring the privacy and security of consumer data. Check out our free courses to get an edge over the competition. Learn Online Software Certifications online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career. Why Google Cloud? Here are some of the reasons why companies should use Google Cloud services: With the elastic scaling capabilities offered by Google Cloud, businesses can effortlessly supply and assign processing power, storage facilities, and numerous other tools to meet their particular demands, leading to optimal efficiency and usage of resources. The network infrastructure of Google Cloud offers a large bandwidth capacity, ensuring quick and dependable connectivity for data retrieval and transmission. Google Cloud offers an extensive worldwide chain of data centres spread across many locations. This network allows organizations to set up their applications and services nearby to their users, decreasing delays and enhancing performance. Google Cloud offers robust machine learning and analytics features. Businesses may use tools such as BigQuery, Dataflow, and AI Platform to analyze huge quantities of data, gain insights, and create smart applications. Google Cloud is dedicated to offering strong security measures that protect client information and applications. It uses cutting-edge security techniques and industry-standard procedures to protect user access, infrastructures and data. If we compare Google cloud vs AWS pricing, Google Cloud offers open and adaptable price choices, such as committed usage contracts, regular usage discounts, and cost control tools. The pricing and invoicing structure of Google Cloud helps businesses to manage their cloud computing expenses efficiently and at reduced costs. When compared between Google Cloud vs AWS Cloud, Google Cloud works smoothly with other prominent Google services, like Google Workspace, Google Maps, and Google AI. By combining Google Cloud with these tools, companies can improve communication and create location-based applications while making use of Google’s cutting-edge AI technology. Google Cloud vs. AWS: The key differences between Google Cloud vs. AWS Let’s take a look at the most fundamental differences between Google Cloud vs. AWS: Features and offerings As mentioned before, AWS has over 175 cloud services, whereas GCP offers around 50 featured cloud services. Naturally, AWS is more feature-rich than GCP and includes several additional services designed for large enterprises with growing computing needs. However, it must be noted that Google Cloud includes all the core cloud services that can cater to standard business use cases. Also, it offers more flexibility in terms of the personalization of services, something that is pretty limited in AWS. Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript Market share According to the Q2 2020 research from Synergy Research Group, the cloud market is mostly dominated by AWS, followed by Microsoft Azure and Google Cloud Platform (GCP). While AWS bags a whopping 33% of the cloud market share, GCP accounts for 9% of the cloud market. Pricing Although Google Cloud’s core cloud offerings are similar to those offered by AWS, their pricing varies significantly when it comes to the pricing. While Google Cloud has three pricing plans – Silver, Gold, and Platinum, AWS offers four pricing plans – Basic, Developer, Business, and Enterprise. GCP offers attractive pricing provides to its customers via its Committed Use and Sustained Use Discounts. This GCP scheme provides sustained price advantages over AWS to users who have been using Google Cloud services for a long time. Contrary to this, AWS requires users to incur upfront costs of reserving its services for one or three years.  Uptime Google Compute Engine and AWS EC2 both include SLAs (service-level agreement) that usually offers an impressive monthly uptime percentage of 99.95%. However, AWS has the upper hand on the uptime front because it allows you to access the potential of different machines within their multiple availability zones per region. Unlike this, Google Cloud generally runs your instances on a specific machine per region. But then, Google Cloud facilitates live migration through virtual machines (VMs). Live migration enables Google developers/engineers to address common issues like software updates, patching and repairing. In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses Also Read: AWS v/s Google v/s Azure: Who will win the Cloud War? Disadvantages  When we are discussing Google Cloud vs AWS, both services have several benefits, but there are certain disadvantages, too, such as the following: AWS imposes default limitations on resources that vary by location. When using AWS, your application experiences hardware-level modifications that cannot provide the optimum performance or utilization of your applications. AWS has a broad range of resources and functions, which can make it confusing for customers, particularly those who are newcomers to cloud computing. Your applications may take longer to process because of the Google Cloud Platform’s often delayed response time. The cost of using Google Cloud is one of its drawbacks. The cost of retrieving data from Google Cloud Storage is hefty. Google Cloud depends on a worldwide network of information centres that provide the computing capacity for the services it provides. As a result, it may experience delays or other reliability challenges if it encounters an issue with any of Google’s data centres. Wrapping up There’s no clear winner here – both Google Cloud and AWS are excellent cloud platforms with distinct pros and cons. While AWS seems like the ideal choice for large enterprises and MNCs with an international presence, Google Cloud offers excellent core cloud services with flexible pricing.  At upGrad, we offer the Advanced Certification in Cloud Computing program. Our course will teach you the basic and advanced concepts of cloud computing along with the applications of these concepts. You will learn from industry experts through videos, live lectures, and assignments. Moreover, you’ll get access to upGrad’s exclusive career preparation, resume feedback, and many other advantages. Be sure to check it out.  
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by Pavan Vadapalli

17 Jun 2023

Data Security in Cloud Computing: Top 6 Factors To Consider
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Traditionally, the data was stored in local servers. It used to take a lot of hardware allocation and manage the entire server along with the website, thus introducing Cloud Computing. ‘Cloud Computing’ is a way to store the data on a remote server over the internet. The process of storing, managing, and processing data is handled by the third-party, which is providing cloud computing services. Now, as we are moving to a public cloud or hybrid cloud, the issue of cloud security or data security has to be addressed. As every individual or enterprise trusts the cloud service providers by providing their essential folders and files for the deployment on their server for which the third-party charges fees. As the number of users increases day-by-day, it is quite challenging to provide data security. Check out our free courses to get an edge over the competition Read: Top Cloud Computing Models Explained ‘Data outsourcing’ is a process wherein users of the cloud are relieved from the burden of managing and storing data. Now, various factors need to be addressed to protect the data and thus provide security to cloud users. Learn Software Development Certifications online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career. Top Factors For Data Security Privacy Protection Data Confidentiality Data Integrity Data Availability Data Privacy Governance Check out upGrad’s Advanced Certification in Blockchain Privacy Protection Privacy Protection involves safeguarding the data from any other person other than the owner of the data. Although the data is saved on the servers of the company from which we are purchasing the cloud computing service, it is essential that the privacy of the data has to be maintained. The data has to be encrypted so that only you can access the data as you are paying for the service and the data which you are storing on their servers has to be preserved and must be shown to you only. The privacy of the data stored has to be considered; otherwise, there is a chance of hacking the data from their servers, which would cost up a huge amount of money to both the organisations. Check out upGrad’s Advanced Certification in DevOps  Data Confidentiality Data Confidentiality refers to protecting data from reaching unauthorised parties as it would result in data breaching. Data breaching is one of the threats to the data; it is always addressed in cybersecurity.  Data breaching causes the revelation of the data to the unknown sources. It is like leaking your secret information to the anonymous person who is scary to the business and for an individual.   Also Read: Cloud Computing Ultimate Guide Data Integrity Data integrity is maintaining the original data and protecting data to be modified or deleted. Data integrity is pretty simple for a single database system, but it gets very complicated with multi-cloud databases. Also, in a server, there are multiple data stored. So even preserving integrity is very important for the data. These days, the organisation utilises multiple servers and multiple people from organisation access the same server from different ids, so it’s important to consider the user’s authentication before modifying the data from the database. Now to maintain that the two most prominent methods used are two-factor authorisation and trusted platform module (TPM) for remote data checks. Data Availability As we all know, our data is on someone else’s server, so it’s imperative to consider the responsibility of having an agreement. The service-level agreement (SLA) is pivotal, and users must read it carefully. Some points to consider with SLA. SLA provides information about the various policies of the company providing cloud computing services. For example, AWS, asks the user to choose the location of the server; now, this helps with compliance and response time/latency.  All the available services are available for different purposes. So, it’s essential to know one’s organisation needs and research the available options and choose the best from the available ones. Data Privacy There are many national and international data residency laws. It is the responsibility of all the cloud computing providers and consumers to be aware of that.  For example, the U.S. includes laws such as:  the Health Information Portability and Accountability Act (HIPAA),  The Payment Card Industry Data Security Standards (PCI DSS),  the International Traffic in Arms Regulations (ITAR) and the  Health Information Technology for Economic and Clinical Health Act (HITECH);  In Europe, there are laws like the General Data Protection Regulation (GDPR).  Also, there’s the United Kingdom Data Protection Law, the Russian Data Privacy Law, the Swiss Federal Act on Data Protection and the Canadian Personal Information Protection and Electronic Documents Act (PIPEDA). So, it’s always better for all the cloud services consumers to know the laws, rules and regulations related to data and to check if the cloud service provider abides by the laws.   And if they don’t, one can register a complaint to the government or cybersecurity department regarding one’s complaint.  Must Read: Scope of Cloud Computing Governance Governance refers to adopting the appropriate policies within the organisation and giving them access to the servers to the trusted employees only. Many a time, it is observed that the hackers are within the organisation only. Maintaining proper rules and regulations with the handling of data is crucial for every organisation.          Benefits of Cloud Data Security: The following are the benefits of data security in cloud computing: Protect brand reputation Customer interest in a brand is increased by its reputation as it sheds light on business performance. Every data leak that makes headlines damages a company’s reputation as a trusted brand. Organizations can shield themselves by minimizing these dangers with the help of cloud computing securities.  Greater visibility Robust cloud data security procedures enable you to keep track of the internal operations of your cloud, including the data assets you have and where they are located, the people using your cloud services, and the types of data they are accessing. Data encryption Sensitive data must be protected whenever and wherever it moves. By using many levels of sophisticated encryption to secure cloud data in transit and at rest, cloud service providers assist you with secure cloud data transport, storage, and sharing. Cloud Workload Protection Workloads in the cloud significantly broaden the attack surface. To secure the complete cloud-native stack across all workloads, containers, Kubernetes, and serverless apps on any cloud, visibility and discovery of each workload and container event are required.         Why companies need cloud security Increased Agility We are currently in the big data era, in which businesses produce, gather, and store enormous volumes of data every second, ranging from highly sensitive customer or business data to less sensitive data like marketing analytics.  In addition to the expanding amounts of data that businesses must be able to access, manage, and analyze, enterprises are utilizing cloud services to increase their agility, decrease their time to market, and support their increasingly mobile or hybrid workforces.  Lower costs Because users share the cost of the infrastructure, cloud storage is typically more economical for enterprises and organizations. Resource optimization Generally speaking, the CSP maintains cloud-based servers, databases, hardware or other cloud elements in a cloud data model. Additionally, hosting and maintaining on-premises components are no longer required by the firm. In addition to lowering total IT expenses, workers can be reassigned to concentrate on different problems, including customer support or business modernisation. Advanced access Cloud-hosted databases can be accessed by any authorized user, from any device, in any location, wherever there is an internet connection, which is necessary to enable the contemporary digital workforce. Scalability Cloud resources, such as databases, are adaptable, which means they can be swiftly scaled up or down based on the changing demands of the organization.  Security issues in cloud computing Data breaches Misconfigurations Unsecured APIs Access control/unauthorized access Conclusion The data security in cloud computing depends on both the user and the service provider! Make sure to proceed step by step and to check all the factors mentioned above accurately. Data Security is everyone’s responsibility to deal with data including data scientists, engineers, developers, infrastructure providers, service and security. At upGrad, we offer the Advanced Certificate Programme in Cloud Computing program. Our course will teach you the basic and advanced concepts of cloud computing along with the applications of these concepts. You will learn from industry experts through videos, live lectures, and assignments. Moreover, you’ll get access to upGrad’s exclusive career preparation, resume feedback, and many other advantages. Be sure to check it out.
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by Rohan Vats

14 Jun 2023

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