13 Best Cloud Computing Project Ideas & Topics For Beginners [With Source Code] in 2024

Updated on 04 July, 2024

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Best Cloud Computing Project Ideas & Topics

The ever evolving milieu of technology makes it incumbent upon all of us to upgrade ourselves to respond to the changing needs of the changing times. In fact, these changes are aligned to make our lives easier, to embed increased automation in our gadgets so that we are able to fulfill our daily life processes with minimal effort and greater ease.

As a consequence, almost every enterprise is co-opting cloud and edge technologies within their business plans and upgrading their customer-end services. It then comes as no surprise that budding developers are increasingly required to hone up their knowledge, and work on diverse cloud computing projects ideas and skills of cloud computing technology in order to secure well paying jobs. 

Parallelly, academic curricula are predominantly aligning themselves to suit a more cloud computing application oriented approach to pedagogy. In fact, a robust command over cloud technology is not merely limited to recruitment or classroom assignments but it encompasses a large share of the career trajectory of most developers in the contemporary context.

Going by the projected trends, the demand for cloud technology will only be on the rise. Cloud computing salary is proof of that. Participating in the trend and working effectively on diverse cloud computing projects ideas is your only way to bag significant experience and a chance to maintain visibility in the highly competitive market. 

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From building more automation to enhancing portability to business operations, trysts with cloud computing tech is a lifelong affair for most developers. This is where the incessant need to grapple with novel cloud computing projects can become a cause of worry. Whether it be scoring the perfect marks in an exam or impressing the boss to bag that highly coveted bonus, ideating on cloud computing project ideas can go a long way in boosting your profile. 

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With the wider prevalence of remote working and more expansive usage of artificial intelligence, the usage of cloud computing projects is certainly going to be more widespread in the days to come. Extended applicability using cloud computing based projects also entails greater engagement with newer ideas and one often finds developers scrambling for new inspirations for cloud computing projects.coll

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Here we have compiled a list of innovative cloud computing project ideas, which, if developed, can enable a lasting impact on the field of business technology as well as transform consumer behaviour to a large extent. 

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13 Top Cloud Computing Projects with Source Code

1. Cost-effective Data Mining Applications

Data mining applications are today used in so many industries. Typically, cloud computing project ideas revolve around maximising the storage capacity of the cloud at hand so that greater quantum of data can be stored and accessed as per the business requirements. Globally distributed cloud servers typically charge the users proportionate to the amount of data transferred and the location of the users.

The utility of any cloud computing projects can be vastly enhanced by opting for a nonlinear model of retrieving the data. This will consequently reduce the execution cost as well. Developers can consider deploying multiple execution of the application workflows in such a way that the data logs from a cloud storage can be made available simultaneously through nonlinear solutions.

This will prove to be a lot more cost effective than a single source selection method of data retrieval. This sort of cloud computing project ideas can go a long way in widening the applicability of cloud technology and also make its benefits accessible to small and medium scale enterprises. 

Data mining projects from Github

2. Building environmental sustainability in data centres

In today’s world, environmental consciousness reigns supreme in everybody’s mind. Digitalization to a large extent marks a shift to more energy efficient modes of operation. In spite of that, deployment and distribution of cloud based data involve a huge amount of power cost.

In that context, developing cloud computing projects which optimize the use of green energy while also saving the production costs, is sure to be a huge hit among numerous business enterprises. The aim to be to reduce the power consumption in the course of the server deployment process.

The mainstay of this project will be based on at the deployment stage because this will initiate substituting the traditional energy with renewable energy. This process of sustainable energy integration with the data servers will not only reduce the carbon footprints to a large extent but also will result in a drop in the total cost of ownership of the cloud storage as well. The availability of green energy remains a key factor in the realization of this project making it one of the best cloud computing projects to consider in your practice. 

Source code

Read more: Cloud Engineer Salary in India

3. Prompt and secure data storage and recovery systems

Working on one of the most foremost concerns affecting most of us internet users has to do with the concerns over data privacy, many cloud computing project ideas now are working along strengthening the same.

As increasing numbers of client facing applications lodge themselves in shared cloud storages, the chances of unauthorised access to our data also rises. The responsibility of secure usage and holistic backup of data falls upon the service providers.

Hence an affordable and compliant mechanism of data auditing that enables businesses to audit the data stored in shared clouds while performing swift and hassle-free recovery will be a highly sought after cloud computing project idea. There is a lot of merit in developing this domain and there is abundant precedence to follow from the examples of Dropbox, Google Drive among others. 

Source code

4. Cloud based shipping management system

Today’s commercial industry is dominated by e-commerce ventures. Be it Amazon or eBay or regular freight companies like FedEx or DHL, shipping industries across the globe have had to scale up their business by leaps and bounds in the last decade to meet the rising graph of the e-commerce sector.

Consumers are increasingly opting to deliver their desired products online and have them delivered them at their doorsteps. This concurrent rise in shipping calls for increased maintenance and cyber-based management systems can ease out the operations to a great degree.

Given the large scale scope of operations, physical servers for this enormous proportions of data can be dampening for the velocity as well as the quality of management. One may consider developing some cloud computing projects which will facilitate shipping management functions with upgraded features on a cloud platform. This will in turn enhance the efficiency of e-commerce sectors to a great extent as well and help in reducing operational costs. 

Source code

Learn more: Cloud Computing Ultimate Guide for Beginners

5. Uninterrupted and Remote controlling of smart devices

How many of us wondered if we had turned off the gas or switched off the heater after leaving our houses? It is likely that the number in affirmation is going to be pretty high. While these little mind tricks are common to us all, in today’s modern, technologised households, the dilemma has taken a novel turn.

Many of us are dependent on the internet of things for our daily life processes. From smart televisions to smart refrigerators, most of our household gadgets run on an unprecedented degree of automation. But, even these smart devices require supervision, be it their battery life or their inbuilt programming.

Imagine forgetting to turn your AC on or keeping the water cooler running unwittingly? Developing cloud computing projects which gives access to the owners to remotely control the smart devices so much that my telling your google home to turn off the water cooler sitting at the airport will spare you an anxiety attack as well as your building an unwanted leak can prove to be revolutionary on several counts.

Within the scope of data analytics and software development, this will not only be a pioneer for technological innovations in this field, but also will be a huge hit in the consumer market for such versatile utility.

Source code 

Know more: Data Scientist vs Software Developer

6. Cloud based healthcare facilities

Healthcare sector is one domain which calls for consistent innovation for improved interventions in the medical needs of the people. Be it the diagnostic facilities or healthcare solutions, deploying cloud based intelligence in the research and development of relevant facilities can go a long way in saving millions of lives.

Machine learning, data analytics and artificial intelligence will play a huge role in realising this potential and will entail a substantial amount of data usage and storage. Accordingly, calibrating it from a cloud platform seems to be the only scalable solution in such cloud computing projects. 

These were some of the best cloud based projects for freshers. Experienced learners can also implement these cloud computing project topics for final year to gain brownie points for implementation and strengthen their resumes. While these six cloud computing based projects are good enough to help you practice your skills, we are adding two more cloud based projects to enhance your experience!

Source code

7. Maintaining A Chatbot System

To put it simply, chatbots are artificially intelligent software whose main purpose is to converse with users and address their queries when they visit the website. They are specifically designed to enhance user interaction on the landing page itself. It is undoubtedly, one of the significant aspects of marketing as it helps to maintain close interaction with the users on a frequent basis. 

One of the main reasons why this idea is so popular, especially among cloud-computing aspirants, is that after a particular website is linked with the chatbot, business owners can easily measure the engagement with the users, as well as scrutinize the accuracy and precision of the answers provided to the variety of visitors of that particular website.

Source code

8. Encrypted Text Transfer

In this technology-driven world, encryption is one of the most vital tools to keep data private and secure from unauthorized people. Using a secured text transfer system will not only prevent your data from getting misused but can also result in faster speed simultaneously. The system can also be modified and redesigned to ensure the transfer of images as well. This can also work as one of the effective cloud computing project topics for final year. 

Source code

9. Secure Text Transfer Application

In this exciting cloud computing project topics for final year or cloud projects, our focus lies in ensuring the secure exchange of textual information, prioritizing privacy, confidentiality, and integrity. Drawing inspiration from secure data exchange applications in banking, we delve into the realms of data security and cloud computing. Encryption takes center stage as our go-to security technique, safeguarding the essence of information. The reliable Diffie-Hellman key exchange algorithm is our trusted companion, facilitating both private and public keys for encryption and decryption. 

Elevating security, we employ a robust two-way encryption technique, extending our capability to securely share not only text but also images through the application. Opting for an SQL database, we leverage its built-in security tools and features for efficient data storage. To bring this innovative cloud computing assignment topics to life, we turn to Azure cloud servers, activating a seamless and secure process.

Source code

10. Security Monitoring with Cloud Services

As cybersecurity becomes increasingly crucial, understanding how to monitor and secure your applications is essential. Utilize cloud services like AWS GuardDuty or Azure Security Center to set up security monitoring for your cloud resources. Learn about threat detection, incident response, and best practices for keeping your cloud based projects secure in the digital landscape.

Source code

11. Internet of Things (IoT) with Cloud Integration

This is another amazing projects on cloud computing that brings the physical world into the digital realm by combining IoT devices with cloud computing. Start small by connecting a sensor or a Raspberry Pi to your chosen cloud platform. Monitor temperature, humidity, or any other metric and visualize the data in real time. This project not only introduces you to IoT concepts but also showcases the power of cloud-based data processing.

Source code

12. Building a Personal Website on the Cloud

Imagine having your corner of the internet hosted on the cloud. This project is a fantastic way to get hands-on experience with cloud services and web development. Start by creating a simple HTML/CSS webpage and use cloud services like AWS S3 (Simple Storage Service) or Azure Storage to host your files. Explore domain registration and mapping to give your website a personalized touch.

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13. Data Analysis with Cloud-based Databases:

For the data enthusiasts out there, cloud-based databases offer a playground for exploring, analyzing, and visualizing information. Use services like AWS DynamoDB or Azure Cosmos DB to store and retrieve data. You can embark on a project to analyze trends, create dashboards, or even build a recommendation system. The cloud provides the scalability needed for handling large datasets effectively.

Source code

What are the key considerations to bear in mind while developing cloud computing projects?

The most salient attribute of cloud services is that it allows the user greater quantum of automation and enormous volumes of storage without any on-ground limitations. This definitely has the potential to transform the entire business technology landscape but calls for widespread adaptation. However, it is not easy to adapt to cloud services without bearing in mind some of the very vital considerations.

Cost– Given that cloud computing projects accentuate access to a wide range of data from different remote sources, the cost of engagement is fairly high. Most cloud service providers charge businesses to access data from one of the other globally distributed storage. Then there are additional investments involved in transferring data and deployment within the purview of the particular business. True, data intensive applications can boost the profitability and functionality of businesses but accessing such data involves a huge cost.

So before co-opting these data heavy applications within their scheme of business, enterprises must do a cost benefit analysis to ensure the cost of engaging these cloud computing projects doesn’t end up being a bad investment. 

Application Mobility- With the prevalence of cloud computing projects, businesses are trying to detract the dependencies on private clouds and facilitate increased application mobility by aligning the computing process more towards the edge. Cloud computing will still remain the predominant data processing source but businesses are building flexibility to shift between public and private clouds for application localisations. 

Future Applicability- With the technological advancements, we have not only been able to redefine our present times but also have ventured into cutting edge tech that is likely to pave the way for future innovations. In this context, future scope of artificial intelligence (AI) is an important attribute which most cloud computing ideas will revolve around.

Businesses no longer require simply customer oriented AI but are keen on looking into comprehensive AI strategies that are scalable and easily distributed. To cater to this demand, more hybrid and on-premise hybrid cloud computing project ideas are crucial for future market trends. 

Increased bandwidth to suit augmented reality cloud services- As breakneck speed and enhanced bandwidth permeates the business technology environment, demand for cloud connected virtual or augmented reality is also likely to increase. So cloud computing project ideas that revolve around augmented and virtual reality solutions will be highly in demand.

Secure solutions- Access to cloud computed data has become drastically widespread in the last decade. Simultaneously concerns over the secure access to such cloud-based data have also risen. Developers toying with cloud computing projects should also levy some attention to the security issues and flag out any scope of misappropriation of data. Secure cloud transactions is one key consideration for anyone looking to work on cloud computing projects. 

Read: Cloud Computing Ultimate Tutorial

How to develop a popular cloud computing project?

Now that we know what are the vital aspects to be mindful of while developing any cloud computing projects, let us now focus on some of the strategies that can go a long way in making your cloud computing project ideas successful and popular. Businesses are growingly opting for cloud computing projects within their scheme of functions due to its scalability and cost effectiveness.

So for developers, to leverage these two main objectives while designing their projects is the stepping stone towards ensuring that their cloud computing projects meet the expectations and have a successful run at the market. In that context, some of the best practices while developing cloud computing project ideas are discussed below. 

  • Collaboration between devops and IT- Often, co-opting cloud technology entails a large scale overhaul of the current operations. In order to make this transition seamless, different departments of the enterprise must be in sync with each other. Instead of the application developers deploying the cloud based projects in isolation, there needs to be synergy with IT departments.
  • This will facilitate easier integration and better training features in your cloud computing project ideas. Ideally, IT should lead the decision making process of cloud deployment and work in close association with the developers in the implementation process. 
  • Testing is the key to determine the fate of any new innovation. Since cloud computing projects are likely to influence the operations of an enterprise extensively, testing vital elements like functionality and scalability before the deployment is a good strategy. 
  • Dynamic and adaptable cloud computing projects are highly sought after in the current market context. In that regard, it helps to develop cloud computing project ideas which are volatile. Short-lived applications are best suited for this purpose. 
  • Cloud technology and devops go hand in hand and accordingly, development and testing becomes almost a parallel process. Performance analysis and testing are pillars to the process of a successful deployment. Hence alongside development, quick, grid type tests should be run for all cloud computing projects. 

Learn more: How To Become A Good Cloud Engineer

What is the Importance of Cloud Computing Projects?

Let’s check the importance of cloud computing projects for your career: –

  • The Power of Accessibility

One of the fantastic aspects of cloud computing mini project topics is the accessibility they provide. Whether you’re a student working on a school project or a professional collaborating with team members, the cloud allows you to access your work anytime, anywhere. No more worrying about forgetting your USB drive or losing important files – everything is securely stored in the cloud.

  • Collaboration Made Easy

Cloud computing project ideas encourage teamwork and collaboration. Imagine working on a group aws projects for beginners with your classmates, where everyone can contribute and edit the document simultaneously. The cloud makes real-time collaboration a breeze, fostering creativity and making teamwork more efficient.

  • Cost-Efficiency and Scalability

Cloud computing projects or cloud computing related projects can be more cost-effective compared to traditional methods. You only pay for the resources you use, and there’s no need for expensive hardware or maintenance. Plus, as your needs grow, the cloud can easily scale to accommodate them.

  • Enhanced Security Measures

In the age of technology, keeping our data safe is a top priority. Cloud computing project ideas often come with robust security measures to protect your information. Service providers invest heavily in security protocols, ensuring that your data remains confidential and secure from potential threats.

  • Flexibility and Adaptability

Cloud computing provides the flexibility to adapt to changes seamlessly. Whether you need more storage space, additional computing power, or new applications, the cloud can quickly adjust to meet your evolving project requirements.

  • Eco-Friendly Computing

By eliminating the need for physical servers and reducing energy consumption, the cloud contributes to a greener environment. So, while you’re working on your AWS devops projects, you’re also helping Mother Earth.

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Factors Affecting Cloud Computing

  • Convenience and Accessibility

One of the key advantages of Cloud Computing projects or cloud computing final year project ideas is the convenience and accessibility they bring to the table. Imagine being able to access your documents, applications, and data from anywhere with an internet connection. Cloud Computing eliminates the need for physical storage devices, making information readily available at your fingertips.

  • Cost Efficiency

Cloud Computing projects or cloud computing final year project ideas can be a game-changer for businesses and individuals alike when it comes to cost efficiency. Traditional computing requires significant upfront investments in hardware and software. With Cloud Computing, these costs are significantly reduced as users pay for services on a subscription basis, avoiding the burden of hefty initial expenses.

  • Scalability and Flexibility

Scalability is another crucial aspect of Cloud Computing projects. Whether you are an individual user or a large corporation, the cloud allows you to scale your resources up or down based on your needs. This flexibility ensures that you are only paying for the resources you use, making it a cost-effective solution for both small and large-scale cloud computing projects for students.

  • Collaboration and Productivity

Cloud Computing facilitates seamless collaboration among individuals and teams. By providing a centralized platform for file storage and sharing, teams can work on cloud based projects simultaneously, enhancing overall productivity. This collaborative nature is especially vital in today’s interconnected world, where teamwork is key to success.

  • Security and Data Protection

Concerns about data security are prevalent in the digital realm, but Cloud Computing projects address these issues head-on. Cloud service providers implement robust security measures, such as encryption and authentication protocols, to ensure the protection of sensitive data. Regular updates and maintenance also contribute to a secure computing environment.

Top Cloud Computing Careers

Let’s delve into some of the top and promising cloud computing careers that professionals can pursue after doing cloud computing project topics for final year or cloud computing projects for students.

  • Cloud Solutions Architect

Cloud Solutions Architects are the masterminds behind crafting comprehensive cloud strategies. These experts possess a deep understanding of both business needs and cloud technologies, allowing them to design and implement robust and scalable cloud solutions. Their role involves analyzing requirements, selecting appropriate cloud services, and ensuring the overall architecture aligns with organizational goals. With a blend of technical prowess and strategic vision, Cloud Solutions Architects are pivotal in shaping the digital future of enterprises.

  • Cloud Security Engineer

In the ever-evolving digital landscape, Cloud Security Engineers play a crucial role in fortifying organizations against cyber threats. These professionals specialize in implementing security measures to protect cloud-based systems and data. Their responsibilities encompass designing and implementing security protocols, monitoring for potential threats, and responding promptly to incidents. As cyber threats continue to escalate, the demand for skilled Cloud Security Engineers remains high, making it a promising career choice for those passionate about digital defense.

  • Cloud Data Engineer

Data is the new gold, and Cloud Data Engineers are the alchemists turning raw information into valuable insights. These professionals focus on building, maintaining, and optimizing data pipelines within cloud environments. By leveraging technologies like Apache Spark and Hadoop, Cloud Data Engineers ensure seamless data flow, allowing organizations to extract meaningful intelligence from their vast datasets. As businesses increasingly rely on data-driven decision-making, the demand for skilled Cloud Data Engineers is on the rise.

  • Cloud DevOps Engineer

In the dynamic world of software development, Cloud DevOps Engineers serve as the bridge between development and operations teams. These professionals streamline the software development lifecycle by automating processes, optimizing collaboration, and ensuring continuous integration and delivery. With expertise in tools like Docker and Kubernetes, Cloud DevOps Engineers enhance the efficiency and agility of development teams, making them invaluable assets in the modern IT landscape.

  • Cloud AI Engineer

Artificial Intelligence (AI) is transforming industries, and Cloud AI Engineers are at the forefront of this revolution. These professionals specialize in developing and implementing AI models within cloud environments. From natural language processing to machine learning algorithms, Cloud AI Engineers leverage the power of the cloud to create intelligent solutions that enhance automation, decision-making, and user experiences. As AI continues to reshape various sectors, the demand for skilled Cloud AI Engineers is witnessing a significant surge.

  • Cloud Sales Specialist

Behind every successful cloud adoption is a skilled Cloud Sales Specialist adept at navigating the complex terrain of business requirements. These professionals possess a deep understanding of cloud services and excel in communicating the benefits of cloud solutions to potential clients. Their role involves building and maintaining relationships, understanding client needs, and guiding organizations toward optimal cloud solutions. A blend of technical knowledge and effective communication skills is the key to success in this customer-facing role.

Summing up

Cloud computing projects for students are replete with potential to transform our technological landscape for the better and by extension, upgrade our everyday lives. While the scope of innovation remains expansive, the execution can prove to be a challenge. But, the beauty of cloud technology is that we have already established the foundation and through project ideas like these, all that remains is to build the stories of innovative and cutting edge technology for a better tomorrow for ourselves and everyone around us.

Frequently Asked Questions (FAQs)

1. Q1. Is cloud platform the same as software-as-a-service?

SaaS, i.e., software-as-a-service, which first showed how software applications could be effectively made available as a service over the Internet, is undoubtedly a significant step towards cloud computing. But, initially, SaaS suppliers did not use “cloud” as a term to indicate their services. According to experts, SaaS is actually a subset of cloud computing. With SaaS, various other services that are available on the cloud can now be segmented into more types, namely, IaaS, or infrastructure-as-a-service, and PaaS, or platform-as-a-service. While IaaS facilitates remote access to servers and storage spaces, PaaS enables the development and deployment of web applications that are hosted on the cloud platform.

2. Q2. Does the cloud server have an actual physical location?

When we refer to storing data on the Cloud, we are keeping it on a machine, i.e., a server, which has a physical existence in some part of the world. Our data does not hover around on the Internet. The Cloud space is actually a tangible real machine or server which is located in a data centre in some country. The data centre and colocation service providers are responsible for maintaining the server space, which is kept for cloud storage. Many cloud service providers have no servers of their own. In such cases, they lease out space available in data centres and server farms present in many countries.

3. Q3. How does cloud storage function?

Cloud storage basically refers to storing your data on a remote or off-site storage space that some third-party organisation maintains. Instead of storing data on your computer's hard disk or a local storage system like an external hard drive or a pen drive, you save your information on a remote database via the Internet. Cloud storage is scalable; this means that no matter the volume of data, it can always be accommodated in the Cloud. You can access this storage from anywhere in the world and at any time, provided you have a stable Internet connection.

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Pavan Vadapalli

Director of Engineering @ upGrad. Motivated to leverage technology to solve problems. Seasoned leader for startups and fast moving orgs. Working on solving problems of scale and long term technology strategy.

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What Are The Skills to Become a Cloud Engineer ??

Cloud computing is one of the leading trends in the IT industry today. Cloud-based solutions offer convenience at an affordable price, proving to be a boon for enterprise management across the globe. So, it is no surprise that tech professionals are focusing on their cloud engineer skills now more than ever.  Premier technology company IBM defines cloud computing as a service delivered over the internet. Cloud engineers come into the picture as organizations move their processes and applications to public, private, and hybrid cloud infrastructures. They are responsible for assessing existing frameworks and further migrating different business functions to cloud-based systems.  If you are interested in a cloud computing career, the resources compiled below can help you start your journey.  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 Learn Software Engineering Certifications online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career. Scope of Cloud Computing Cloud is slowly becoming the business standard of data storage and management. A Gartner survey pointed out that cloud investment is a top priority for more than a third of organizations. And IDC estimates that over a million cloud computing jobs will be created in India by 2022. Some of the top recruiters in the field include:  Amazon IBM Wipro Infosys Oracle Cisco Systems Inc TCS Ltd HCL Technologies  Accenture Technology Solutions Capgemini Also, cloud architectures have revolutionized the healthcare industry. The technology simplifies operations and improves the administration of medical facilities by synchronizing medical records. A variety of job opportunities and roles are available in management, user support, development, and analysis. Cybersecurity is another prominent area. Amid rising concerns about the lack of integrity and safety of cloud servers, the need for security-enhanced cloud environments has gone up.  Check out our Advanced Certification in Cloud Computing You can pursue job profiles like Cloud Software Engineer, Cloud Enterprise Architect, Cloud Infrastructure Engineer, and many other in-demand roles. And every position would require a specific type of cloud engineer skills.  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 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 our Advanced Certification in Blockchain Main cloud engineer skill sets Cloud services are mainly of three types:  Software as a Service (SaaS): On-demand hosted services that provide quick access to business applications Infrastructure as a Service (IaaS): Cloud solutions that offer the advantage of ample storage Platform as a Service (PaaS): Web-based services and deployment of applications on the cloud In this way, cloud computing is transforming business operations of the modern age. To implement these services, cloud engineers should possess technical, business skills, data analysis, management, and security skills. These skill sets are explained in broad terms below. Technical Skills: Knowledge of HTML and computing fundamentals  Financial skills: Awareness of financial terminologies like ROI and business concepts like online marketing strategies Data analysis: Expertise in data mining and handling ERP systems Project Management Skills: Experience in dealing with risk analytics, service agreements etc. Security Skills: Working knowledge of concepts related to network security, including encryptions, authorization, and protocols Keeping the above-mentioned skills in mind, aspiring cloud engineers can choose from a range of different credentials. Cloud computing training and certifications differentiate one’s profile in a highly competitive job landscape. Here are some of the major certifications:  Amazon Web Services (AWS) Certification Google Cloud Associate and Professional Certifications IBM Certified Solution Architect HP ExpertOne Cloud Certification EMC Cloud Architect VMware Cloud Certification Now, let us look at various cloud engineer skill sets in detail. Programming Skills Developers play an integral role in the realm of cloud computing. Also, proficiency in programming languages is essential for scaling web applications. Languages like Php, Java, .NET are instrumental in unlocking the capabilities of the cloud. Besides these traditional languages, programming languages like Python and Ruby have also gained prominence in the last few years. It would not be out of turn to state that cloud programming skills are opening new dimensions for developers in the current market conditions. Linux Linux is an open-source operating system that can be customized to meet business needs. The software has taken over the web in recent years, especially because one can share the results without going through the hassle of taking permission. Companies are increasingly turning to Linux to build technologies. And it has crept into almost every aspect of our lives. Linux powers most of the web pages and apps that you use today.  So, a cloud engineer should be able to architect, administer, and maintain Linux-based servers. To showcase your skills to prospective employers, you can consider The Linux Foundation Certified Systems Administrator (LFCS) certification.  Database skills In the present-day digital age, 2.5 quintillion bytes of data is generated every day. Moreover, modern organizations have become more interested in drawing insights from the mounds data available. The information has to be stored, managed and accessed, for which the cloud provides a convenient and cost-friendly solution. It enables the storage of vast volumes of data along with on-demand access from multiple connected devices. Cloud storage also reduces dependence on computer hard drives and facilitates quick deployment and data archival.  Understanding how cloud storages work is one of the top cloud engineer skills you can master. From the perspective of cloud database management, learning querying languages like MySQL and Hadoop can be immensely useful. Networking High-tech workplaces integrate network management functions into the cloud. This development can be largely attributed to improved internet access and bandwidths. Knowledge of virtual networks can go a long way in ensuring responsive networks. Also, cloud engineers need to focus on making the process easier for end-users. Doing this would be a breeze when you are thorough with all the cloud networking fundamentals.  Cloud service providers Understanding the offerings of cloud service providers is a prerequisite to survive and thrive in the cloud domain. Find out how they work and practice skills like compute, storage, databases, migration, etc. Most of the providers have a free usage tier which is sufficient to get you started.  If you are thinking of taking the cloud computing career path, spend some time familiarizing yourself with at least one such cloud service. AWS, Microsoft’s Azure, GCP, and OpenStack are some of the market leaders. 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 API and Web Services Building a  cloud architecture with a strong core requires paying adequate attention to its underlying foundation. Knowledge of web services and APIs can prove tremendously helpful while integrating applications over the internet. Usually, open standards such as XML, WSDL, SOAP, and UDDI are used to tag, transfer, and describe data. And API helps you get the integration done.  Developmental Operations (DevOps) DevOps combines the two approaches of software Development and Operations in one mold. It is one of the most popular frameworks in the cloud ecosystem.   AWS DevOps is a  highly demanded skill in the current job market. Additionally, understanding the entire development life cycle—from planning to implementation and maintenance—can be extremely beneficial for cloud engineers. Containers Containers are logical packaging mechanisms that can decouple cloud applications from their target environments. These abodes can be personal or private data centres, public clouds, and even hybrid clouds. Abstraction from the environment makes container-based applications easy to deploy. Some leading containers include Docker and Kubernetes.  Virtualization Virtual software and serverless computing minimize hardware dependence and aid the process of scalability. Having a good working knowledge of virtual machines, EC2 and Lambdas is a must for learning virtualization. So, build your cloud engineer skill sets by enhancing your exposure to this area of cloud computing. Security and Recovery Today’s enterprises are placing more and more emphasis on protecting their data and applications. They are focusing on tracking the current state of security and adopting adequate preventive measures to trace unexpected threats. Such steps allow for quick responses. It is, thus, a requisite for cloud engineers hone their skills in cloud security and recovery mechanisms. Additionally, you can earn your cybersecurity credential by preparing for certifications, such as the one given by the International Information System Security Certification Consortium.  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? With the above skills in your bag, you will be well on your way to becoming a successful cloud engineer. So, before you enter the industry, pick up some cloud engineer skills and truly shine in your chosen cloud computing field!  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

10 Feb'20
Cloud Computing Ultimate Guide for Beginners [With Examples]

5.89K+

Cloud Computing Ultimate Guide for Beginners [With Examples]

You must have often heard people asking questions like: What’s the cloud? Where is the cloud? Are we in the cloud right now? And what do you think is the answer to these questions? This post is just about that! The cloud is a server that is accessed over the internet. It avoids the need to operate and manage physical servers. But then, what is cloud computing? Check out our free courses to get an edge over the competition. An Extensive Guide on Cloud Computing Cloud computing simply means the storage of data and its access on the internet instead of on a computer’s hard drive. This allows access to data from anywhere in the world and at any time, as long as you have a steady internet connection. Check out upGrad’s Advanced Certification in Blockchain History of Cloud Computing Ever since the early 2000s, people have been using the cloud directly or indirectly, knowingly and unknowingly. You must have spotted a number of ads on TV with regards to the cloud, especially those by Apple Inc. While cloud computing seems like a relatively new idea, computing-as-a-service has been going on since the 1960s! This was the time when computer bureaus used to offer companies to rent “time” on a mainframe computer. But then, once the concept of personal computers (PCs) came to life, this time-sharing service started to see a downfall as now, buying a computer was much easier! Cloud computing is slightly based on this time-sharing service. Instead of computing-as-a-service, we now use software-as-a-service. Check out upGrad’s Advanced Certification in DevOps  Read: How to become a good cloud engineer? Companies Offering Cloud Computing Services There are various companies that offer cloud computing services. Some of the most popular ones are: Google – Offers a private cloud that delivers Google’s services like Google Docs to its users. You can even get email access, document apps, maps, web analytics, etc. Microsoft – Offers Microsoft Office 365 online. It allows the transfer of all content and business intelligence tools to the cloud. You can even avail of other MS Office applications on the cloud. com – It has all its application in its cloud. It also had products on Force.com and Vmforce.com that help developers create personalized and customized cloud services. 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. 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 Characteristics of Cloud Computing While explaining each of the many characteristics of cloud computing is beyond the scope of this article, let me give you a brief about the most important ones. Network Access: Cloud computing allows access to your data and resources on a broad range of devices like PCs, mobile devices, and laptops. The best part is that you can access them from the internet. Shared Infrastructure: Cloud computing has a virtualized model that enables the sharing of services, storage, and other networking activities. When you have something on the internet that is private to you, but you can share it with people from anywhere, at any time, you know you’re making the most of the cloud. Managed Metering: All billing and reporting information is recorded using the metering system on the cloud. So, instead of getting billed for all the services, a customer gets built only for space and services they’ve used during the billing period. 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 Also read: Cloud Engineer Salary in India How Does Cloud Computing Work? Instead of buying new/used computers and infrastructure or data centers, organizations can lease access to anything from applications to storage capacity from a cloud provider company. It all happens on the cloud, on the internet. You get access to all your data on any device of your choice. All you have to do is log in to your account and use your documents as you need them. This way, people can even work away from their workstations. However, for this, you would need to buy some cloud storage space. While the initial amounts are free (Apple iCloud offers the first 5GB free), you will be required to pay for subsequent usage based on monthly or yearly rates. 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 The Advantages and Limitations of Cloud Computing Like every other technology, cloud computing has both advantages and limitations. However, its advantages clearly outnumber the latter. Let’s check them out! Advantages of Cloud Computing Worldwide Access: As you can access your data from anywhere, it can be said that cloud computing increases mobility. Organizations can now save on infrastructure costs by allowing their employees to work remotely. This also helps save paper in this dying world as you don’t need to carry your documents anywhere. Cost Saving: Organizations can save huge on IT resource costs as they can deploy the work to remote workers. This way, both employees and organizations benefit since the employees don’t have to spend money on traveling to and from work. Easy Set-Up: It takes only a few minutes to set up a cloud computing service. Just create an account, choose a password, and change your individual settings to suit your needs – such as choosing which devices to allow access to. Scalability: Satisfying consumer demands couldn’t get any easier than with the cloud. You get to deploy tasks to your workers rapidly and get it done at peak hours to ensure timely delivery. Maintenance Free: All cloud service providers offer free system maintenance for cloud computing services. And since the operations are done via APIs, you do not need to install applications on your computer. This means that your PC would not need any maintenance! Limitations of Cloud Computing Data Privacy and Security: Using the cloud involves third-party access to data. Moreover, since people from all around the world are using the same server of the cloud, they can look for a way to get access to your data, causing a security issue. Internet Reliance: Since you need continuous access to the internet in order to get access to your resources on the cloud, you are totally dependent on the internet connectivity of your region. In case your area has low network issues, you’re doomed! There are other challenges to using cloud computing as well, but they’re quite under control with the recent developments in technology. Examples of Cloud Computing Cloud computing supports an immense number of services, including Gmail or the cloud back-up of images and videos on your phone. Netflix depends on cloud computing administrations to run its video streaming service and its different business frameworks as well. Cloud computing is turning into the default alternative for some applications: programmers are progressively offering their applications as services over the internet instead of independent apps, the applications of cloud computing have become extremely widespread and almost unavoidable. In any case, there is a potential drawback to cloud computing, in that it can likewise present new expenses and dangers for organizations utilizing it. 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 While we evolve in terms of technology and how we access our data, one major future concern comes our way: how do we know that the big names in the industry – Google, Facebook, and Twitter – are growing without misusing our data? If you think about it, Facebook wouldn’t have been popular had it not been free. And see, where it took us! So, if the cloud remains to be free, what is the guarantee that our data will be secure? 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 Kechit Goyal

18 Mar'20
Top 4 Cloud Computing Models Explained

8.84K+

Top 4 Cloud Computing Models Explained

Whether you are a business owner looking to shift your current on-premise infrastructure to the cloud, or a student who wants to start learning cloud computing, the first step is knowing about cloud computing models. The three models that you will come across are – IaaS, PaaS, and SaaS. These models have many distinct features. You can avail of these cloud services over the Internet easily. Check out our free courses to get an edge over the competition. Cloud Computing Models 1. IaaS (Infrastructure as a Service) IaaS is one of the most important cloud computing models that provides you with networking hardware over the Internet. These resources are provided to you through virtualization. This means that you can log in to an IaaS platform to use virtual machines (VM) to install an OS or software and run databases. This VM can work as a virtual data center. The third-party cloud vendor hosts the software, hardware, servers, and required storage infrastructure. You just have to pay for their services to use them. IaaS assists users to perform tasks, such as system maintenance, resiliency planning, and system backups. In companies, IaaS enables the automation and virtualization of administrative tasks, which frees up time and resources for other tasks. Check out upGrad’s Advanced Certification in Cyber Security  Examples of IaaS include AWS (Amazon Web Services), DigitalOcean, and Microsoft Azure. Benefits of using IaaS It has a pay-as-you-go model that lets you pay only for the services you use. You can buy more resources later on if required. As all your data resides on the cloud, there is no single failure point. If a data center goes down or a server crashes, the infrastructure remains unaffected. The infrastructure is scalable as per the storage and processing requirements. Using IaaS, multiple users or employees can work on a project remotely. This reduces workload and speeds up project completion. Saves business costs of purchasing and maintenance of hardware. Check out upGrad’s Advanced Certification in Cloud Computing  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 2. PaaS (Platform as a Service) PaaS is the middle layer of the cloud computing stack. As the name suggests, it offers you a platform for creating and running cloud applications. It is mostly preferred by developers as PaaS vendors host the hardware and software required for application development, on their architecture. So, developers do not have to install any software and/or worry about the hardware. This lets application developers focus more on their app, and keep their mind off the technicalities. This, in turn, leads to better software development and even faster deployment. Moreover, PaaS allows you to develop, test, run, and update applications on the cloud. You also get pre-built tools and APIs to customize your applications. Examples of PaaS include Google App Engine, Heroku, and Apache Stratos. Benefits of using PaaS It is cost-effective as you pay only for the services you choose. The built-in features for data protection and cybersecurity reduce the need for security professionals in an organization. Applications compatible on multiple platforms can be developed through PaaS. This expands your customer reach and helps in business expansion. Dynamic scaling allows companies using PaaS to scale up or down as per requirements.   As the hardware and software are handled by the vendor, the need for additional staff or outsourcing tasks is significantly reduced 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. 3. SaaS (Software as a Service) SaaS is the bottom level of the cloud stack that offers you a cloud-based software for a monthly or yearly fee. After payment, the cloud vendor provides you access to the software over the Internet. This is a software solution that you can use from your browser. No additional software needs to be installed. You can enjoy the service using their user interfaces without much upfront cost. Popular SaaS products include DropBox and Salesforce. These are great options for those who want a complete cloud software solution without paying much. Small and medium businesses that have just started and do not have enough funds to spend on their IT infrastructure can use SaaS. The SaaS providers also offer good customer support if you run into any troubles. In SaaS, all the software infrastructure, middleware, and application data are stored in the provider’s data center. Using a service agreement, the vendor ensures the security of your app data. The best part about SaaS is that you do not necessarily have to be a tech wiz to use it. Benefits of using SaaS You can access the SaaS software using a web browser, such as Google Chrome from a laptop, desktop, tablet, or smartphone. It is easy to use, flexible, and can be scaled up or down. The pay-as-you-go model helps you save costs. New releases and upgrades are provided to users as soon as it is available. The upgrading costs are minimal. Learn more: Top 7 Cloud Computing Applications in Real World 4. Cloud Computing Deployment Models There are three cloud computing models used for deployment: Public cloud Owned by a third-party vendor, these cloud services are free to use and openly provided to the public. Due to open-ended access, security is not great. It might be risky using this cloud service as anyone can access it, which makes it vulnerable to hacking. 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 Private cloud These cloud computing resources are deployed for a particular organization. It can be located at the company’s on-site datacenter or the vendor’s datacenter. The architecture is maintained over a private network and is dedicated solely to the organization. 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   Hybrid cloud A hybrid cloud is a combination of private and public clouds. This provides better flexibility and deployment options to an organization. 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 Also Read: 6 Interesting Cloud Computing Project Ideas & Topics For Beginners Conclusion Cloud computing models have become an indispensable part of any company today. As per the size of a business, technical requirements, and budget, companies can choose the service they want. Cloud computing has helped save costs and enhance business operations for many organizations all over the world.   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 Pavan Vadapalli

18 Jun'20
Cloud Computing Vs Grid Computing: Difference Between Cloud Computing & Grid Computing

6.13K+

Cloud Computing Vs Grid Computing: Difference Between Cloud Computing & Grid Computing

The similarity between cloud computing and grid computing is uncanny. The underlying concepts that make these two inherently different are actually so similar to one and another, which is responsible for creating a lot of confusion. Both cloud and grid computing aims to provide a similar kind of services to a large user base by sharing assets among an enormous pool of clients. Both of these technologies are obviously network-based and are capable enough to sport multitasking. The availability of multitasking allows the users of either of the two services to use multiple applications at the same time. You are also not limited to the kind of applications that you can use. You are free to choose any number of applications that can accomplish any tasks that you want. Learn more about cloud computing applications. Now the way each of these technologies makes the resources available to the user base is actually very different. Grid computing aims to make all the available resources virtual, meaning all the computing resources would be made available on a grid to store vast amounts of data. Cloud computing, however, is very different from grid computing in this regard. Cloud computing never lets any application access the available resources directly. Instead, all the resources are made available for use by any application via the use of the internet. Another critical difference between grid and cloud computing is that the available resources are distributed to the computers connected to the specific grid in grid computing. Whereas in cloud computing, the management of all the available computing resources is done in a central unit. That was a very brief overview of what makes each of these methods of computing unique. In order to understand grid computing vs. cloud computing in a holistic way, we must first take a look at them individually.  Learn Online 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. Grid Computing With the help of a number of computers all linked together on a network, grid computing aims to process a massive volume of data by pooling in all the available computing power from all the computers on the network. If you employ grid computing to solve a problem, grid computing would instruct all the available processing units currently on the grid to work on the same issue, thus reducing the amount of time taken to solve the problem simultaneously.  Essentially, the definition of grid computing would be that it is a massive network of computers all connected with each other, all working in harmony to solve a common problem. The solution to the problem is found out by dividing the problems into smaller units known as grids. Grid computing follows a distributed architecture meaning the tasks given to any computer over the grid are managed and given meticulously to avoid any clashes and minimize the overall time is taken (there is no time dependency).  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 Computing Cloud computing is the type of computing that is accomplished via the help of the internet. Any application which is running on the cloud computing setup cannot access the resource pool directly. Instead, the application must interact with the internet to gain access to any of the available computing power. It is definitely a testament to the modern advancement which have been achieved in the 21st century. Cloud computing works best for remote access to any IT resource which might not be available but, at the same time, is very crucial for a computing problem to be solved. Cloud computing allows for on-demand access to a vast resource pool, which is dynamically allocated. Since there is just a need for one main computer to handle resource allocation; thus, the cost of setting up the operations is also reduced. Cloud computing allows users to only use the applications they want without worrying about any of their own personal data. Essentially you pay only for what you use and what you need.  Must Read: Cloud Computing Project Ideas & Topics Difference Between Grid and Cloud Computing Now that we have understood the particular meaning of the two terms, we can now pit grid computing vs. cloud computing, head to head to understand what differences lie there: 1. The difference in technology In Grid computing, the task at hand is broken down into smaller problems. Through a distributed network, the tasks are shared among the network of interconnected computers. Whereas, in cloud computing, there is just one central computing unit that takes care of the distribution of all the available resources. The resources can only be accessed with the help of the internet. 2. The difference in the way of their functioning The primary function that grid computing is used for is scheduling jobs, where the available resources are divided and distributed into a number of small tasks that every computer on the grid is tasked to do. After completing all these little tasks, all the allocated resources are acquired back by the main machine. Cloud computing, on the other hand, behaves on a need basis. Whenever there is a need for resources, the central computing unit allocates all the available resources and takes them back when the task is completed. 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 3. The difference in their application Cloud in cloud computing is actually a reference to the internet. The primary use of cloud computing is to ask for the resources whenever the need for them arises without having to buy either the software or the hardware by yourself. The cloud takes care of all resource allocation and management. Whereas, researchers actually use grid computing to perform academic research because the pooling of such a considerable amount of computing power in one place allows for a faster and an efficient way to handle massive amounts of data. Not only does grid computing can handle massive amounts of data, but it can perform the required actions and provide the desired results. 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   4. The difference in resources Grid computing requires the presence of physical hardware or software to be connected on the grid. The location of these resources, however, is not important as long as they all are connected. In cloud computing, there is just one central unit that takes care of everything.  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 Checkout: Future Scope of Cloud Computing What Next? 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

14 Sep'20
Cloud Computing Architecture [With Components & Advantages]

5.41K+

Cloud Computing Architecture [With Components & Advantages]

What is Cloud Computing? Cloud is the most popular service in today’s world. Almost everything is stored on the cloud due to its long list of benefits. Services like servers, databases, networks, cryptocurrency, analytics, etc. are hosted through the cloud over the internet. Cloud is famous for its on-demand availability and storage. The clouds are basically data centers present over the internet. Cloud means ‘distributed computing;’ the data centers are distributed over the internet, and you can access them using the internet at any time from anywhere with no clustering due to space availability issues. Instead of buying the data centers and infrastructure, organizations can rent different cloud computing components from a cloud service provider and access anything with it. The prices are nominal and budget-friendly. Check out our free courses to get an edge over the competition. The simplest example of cloud service is the backup of photos from your smartphone to the cloud. A large amount of data is hosted on the internet, and you can access it whenever you need it. Your smartphone gets rid of the extra storage without deleting your captured memories. Learn Online 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. Isn’t it great? Cloud makes it simple for everyone. 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 Major Cloud Service Provider There are various cloud service providers, which provide the best cloud services at a nominal rate. Here are some of the best cloud computing architecture companies – 1. Amazon Web Services It is the most popular cloud service provider in the world. It is the most comprehensive and trusted provider. The highlight of Amazon Web Services is its cloud security. Security is a great necessity for a large organization, where the chances of a data leak are huge. It is spread over the market and has a large number of availability zones. Check out upGrad’s Advanced Certification in Blockchain 2. Microsoft Azure Microsoft Azure is one of the quickest developing mist. Sky blue was dispatched a long time after AWS’s arrival, and Google Cloud is still thumping on the entryway to turn into the top cloud administration supplier. Microsoft Azure, as of late, won a $10 billion US Government contract. The individual income was $11.0 billion, $11.4 billion, and $11.3 billion. Microsoft’s Azure income is required to develop between $33 billion to $35 billion. This makes Azure one of the most beneficial cloud administrations on the planet. 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 3. IBM Cloud IBM Cloud provides Saas, PaaS, and IaaS services via private, public, and hybrid cloud models. It is also among some of the best cloud service providers. The brand name of IBM imparts extra trust. Check out upGrad’s Advanced Certification in DevOps  4. Google Cloud Google’s premium cloud service is Google Cloud. It has similar services like the other cloud service providers. It provides services like AI and Machine Learning, API Management, Compute, Data Analytics, IoT, etc. Google provides inbuilt services in Google Maps, G Suite, Chrome, and other Google-based platforms. Like Amazon, it also covers a large zone of availability. 5. Oracle Cloud It is a laaS and conveys elite registering power cloud suppliers. It furnishes continuous flexibility with the prophet’s security and full help. Oracle’s commitments consolidate with:  Oracle IaaS commitments are Storage, Compute, Networking, Database, Governance, Load Balancing, Ravello, FastConnect, and DNS Monitoring.  Oracle PaaS commitments are Application Development, Data Management, Integration, Security, Management, Business Analytics, and Content and Enterprise. 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 Cloud Computing Models Explained Cloud Computing Architecture Architecture refers to the actual building blocks of any system. Cloud computing architecture includes various cloud computing components, bundled up to form a fully functional system. It can broadly be classified into two parts: Front End It is the user interactive platform, and it’s ideally for the users to provide their requirements. It includes local networks, browsers, and web APIs and development kits. The front end provides a menu for the user to convey their needs and perform tasks on the cloud. The software for the client’s end consists of client-based applications and browsers. The main hardware part at the client’s end is the Client Network. The front end is easy to use, and the format is available for users to get hassle-free services. The user need not take care of the back end processes. Everything will be provided with a click. Back End The back end building of the cloud draws in the front end plan. It includes hardware and limits and is arranged on an inaccessible specialist. The cloud controls this back end cloud plan in the center. Back end cloud building should be generous and reliable, as it sustains the whole system using the cloud. The prime pieces of back end cloud building are:  Application: The application is a significant part of the back-end designing. It insinuates the UI that the back end offers to the end customer to send requests. This layer of the back end manages the client’s sales and necessities.  Organization: It is a captivated zone of back end cloud designing. Thus, it adds functions to the entire back end plan. The organization handles each endeavor that abruptly spikes for the disseminated registering system. A segment of the cloud organizations is application improvement in terms of condition, storage, and web organizations.  Cloud Runtime: The term ‘Cloud Runtime’ is the spot that associations run. No doubt, a cloud working structure. Absolutely when we make progressions with the assistance of virtualization programming, they are called Hypervisors. A hint of the basic hypervisors is Oracle Virtual Box, Oracle VM for x86, VMWare Fusion, etc.  Cutoff: Distributed capacity is the place where the data of a cloud application stands or resides. In any case, all of them have a typically submitted locale for passing on limits. A pattern of the instance of the cutoff is solid-state drives, hard drives, Intel Optane DC Persistent limit, etc. The specialist cover structure is taken care of in the cloud back end arranging. Additionally, especially in a circumnavigated area taking care of the structure, the thing scatters drive as indicated by the necessities of the OS in the cloud to run swarm affiliations. Establishment: The motor that arranges all the cloud computing components is called structure. It wires the CPU, Motherboard, Graphics Processing Unit (GPU), network cards, invigorating pro cards, and so on. The foundation models dependably rely on the uncommon loads of the customers. Must Read: Career in Cloud Computing Components of Cloud Computing Architecture There are several components of cloud computing: Hypervisor It is also known as Virtual Machine Monitor. It acts as a virtual operating system for the user, allowing them to manage the guest operating system to use the cloud. It consists of software, hardware, and firmware that combine and run the virtual machine to use the cloud. Management The administration programming assigns explicit assets to explicit undertakings and is answerable for the impeccable working of any cloud condition. In specialized terms, the executive is the ‘middleware,’ and it arranges between the front end and back end engineering in a distributed computing framework. The executive’s programming comprises different plans and the systems that help build the cloud exhibition. This administration programming gives numerous highlights, for example, on-time conveyance of capacity, legitimate security, untouched access, and numerous different offices. This is one of the significant pieces of Cloud Computing design. One of the significant highlights of this is the consistent examination, the executives of managing calamity, and emergency courses of action. Deployment Every cloud system needs to be deployed first. It consists of all mandatory installations and configurations for the cloud. There are three models of deployment to initiate it. SaaS – Software as a Service  Offering circulated processing organizations through approved programming or participation. In this transport model, the end-customers don’t need to buy or present any gear in their territories. PaaS – Platform as a Service PaaS model offers a phase that allows the end-customers to make and run similarly as administer applications on the cloud. In PaaS, an outcast master association empowers hardware and programming instruments. IaaS – Infrastructure as a Service  This model energizes PC hardware like frameworks organization development, laborers, accumulating, and worker ranch space as a help. It moreover fuses the movement of virtualization advancement and working system. Network The network is the most important component of the architecture. It binds the connection of the cloud. It connects the front end to the back end. Benefits of Cloud Computing Speed and Latency The cloud services increase latency, and hence, the speed increases. Speed is the need in today’s times. Cloud showers us with fast speed technology. Accessibility It allows us to work without portable digital tools. It increases thus, providing users access to cloud-based software through most browsers and devices. Cost-Efficient Pay for what you want! Cloud service providers have customized packages with full IT support. It reduces the cost and provides full customer support too. Flexibility It allows us to alter the bandwidth of the cloud. Thus, one can easily increase or decrease cloud capacity. Organizations adore this benefit of cloud providers. Security Organizations are worried about their data being stolen. Thus, cloud architecture provides great security with an almost null risk of vulnerability. Hardware damage can not let the data be hampered. Thus, your data is safe and secure with the cloud. Automatic Updates The regular design requires a lot of time and inner assets to oversee, keep up, and stay up with the latest. Sending refreshes expects frameworks to go under personal time and become inaccessible. Check out: Scope of Cloud Computing: Demand, Salary & Importance Conclusion upGrad is India’s best online education platform. It consists of courses in collaboration with the world’s largest universities.   At upGrad, we offer the Advanced Certificate Programme in Cloud Computing program. 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? 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 Oct'20
Cloud Deployment Models: Types of Models & Applications

10.64K+

Cloud Deployment Models: Types of Models & Applications

What is Cloud Computing? Cloud computing has emerged significantly over the past decade. The cloud deployment models essentially refer to how the servers are deployed and provisioned over the internet so that they can be accessed remotely by individuals and companies, without the need to configure them. Check out our free courses to get an edge over the competition. Why is Cloud Computing Becoming Popular? Utilizing cloud deployment models provides multiple benefits like boosting productivity and providing a competitive advantage to organizations. With the growing popularity of cloud computing models, organizations are coming up with a variety of cloud deployment strategies designed to address specific infrastructure challenges that organizations face and the cloud computing solutions that they desire. The different deployment strategies offer different levels of flexibility, cost-control, and data management within enterprises.  Check out upGrad’s Advanced Certification in Cloud Computing Cloud computing service models make it possible for companies to deploy and render several services, classified according to the roles, service providers, and user companies. 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. Read: Top Cloud Computing Models Explained Why are there different models? Different organizations tend to have very different performance requirements based on their business’ specific needs. The main reasons are the level of performance desired in terms of concurrency, costs, security, privacy, and control over the desired data.  For example, one of the most prominent reasons for choosing a specific cloud computing service is where the data center is located. These data centers or cloud computing hubs have tens of thousands of high performance servers to serve fast computing and storage needs of businesses. Thus, the cloud computing deployment models and strategy are first and foremost classified according to the location. This gives rise to four major types of deployment models. Check out upGrad’s Advanced Certification in Blockchain 4 Types of Cloud Deployment Models  1. Private cloud In the private cloud computing model, a proprietary environment is dedicated to your business. Computing and storage resources are extended via virtualized components, which may be on-premise or at the vendor’s data center. A private cloud provides superior levels of security and control to organizations because they can configure and manage the environment based on their specific business needs,  2. Community cloud A community cloud model is very similar to a private cloud setup. The only difference is that in a private cloud setup, the cloud computing infrastructure and servers are owned and managed by a single private entity. But in a community cloud model, several different organizations of similar size pool their resources together to share infrastructure costs, maintenance, operations, and deployment. But for the community model to work properly, the participatory companies should have similar security, privacy, and performance requirements.    3. Public Cloud In a public cloud, computing and storage resources are provided to the customer over the internet. Public cloud offers immense cost benefits because organizations can do away with costly on-site hardware deployment and maintenance. 4. Hybrid Cloud Hybrid cloud computing offers the best of both public and private worlds by straddling the two with a layer of proprietary software. With a hybrid model, it is possible to host the application in a secure environment while leveraging cost benefits and low time to market offered by the public cloud.  Must Read: Scope of Cloud Computing Classification of Cloud Deployment Models Based on Services 1. Infrastructure as a Service  IaaS requires the customer to install traditional applications on servers offered by the cloud platform provider. The customer is expected to manage all aspects of the application software and hardware. The capabilities of the software are identical to the same software deployed using on-premises hardware.   Benefits of IaaS Service Model IaaS Service Model offers time and cost savings since more installation and maintenance of IT software/ hardware happens in-house.  IaaS also offers better flexibility since the on-demand hardware resources can be more easily tailored to your specific needs.  The IaaS model, with its complexity, time, and cost savings, is especially valuable for large enterprises, which have large in-house IT teams that can build and manage the platform by themselves without having to rely on an external partner. The IaaS offers the desired flexibility to mold the platform according to their specific needs.  2. Platform as a Service The hybrid approach of the PaaS allows for the cloud vendor to provide the hardware and the software as a cloud service, and the vendor manages the hardware deployment, software installation, and software configuration. The customer, on the other hand, is responsible for managing, tuning, and optimizing the software.  Benefits of Platform as a Service The PaaS model is very popular since it provides the best of both worlds. The vendor is responsible for deployment and installation of hardware and software, while the customer manages the optimization, fine-tuning, and installation of the software and hardware updates.  PaaS provides flexibility as well as time savings for managing and deploying large development projects – managing the implementation of the platform and instant production. Security – The customer is responsible for managing data security protocols and taking application backups.   Also Read: Cloud Computing Ultimate Guide 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   3. Software as a Service  In SaaS, the cloud vendor provides all hardware and software, including all aspects of managing the hardware and software. This includes services such as software and hardware upgrades, security, availability, data safety, and performance optimizations.  Benefits of SaaS While being more costly than its IaaS and PaaS counterparts, SaaS provides immense benefits in terms of time saving and quick deployment. The customer does not need to be concerned with infrastructure and managing the software alignment. There is no need for installation or software maintenance. The vendor provides all the necessary software and hardware upgrades, including security.  Testing and deploying new software applications is quick and easy. The SaaS model is the most popular, and it is responsible for the rapid growth in the adoption of cloud computing services today.  An effective cloud deployment strategy needs to take into account the specific needs of the organization. Many organizations find it easy to deploy and use SaaS models that have low cost monthly subscription plans. As they scale out and build deeper in house capabilities, these organizations can then develop and set up the advanced capabilities, manpower, and technology needed. Moreover, the scalability and flexibility offered by cloud providers implies that organizations often work with multiple cloud vendors for provisioning and streamlining different workflows; this puts pressure on the vendors to provide superior performance and security because the competition is intense, and it is quite easy to cancel the cloud subscription and switch vendors within a cloud deployment strategy.  Conclusion Previously, organizations had expressed concerns with regards to data security and privacy for cloud deployment models, especially within a shared public cloud model. But these fears have not only been allayed, but the deeper pockets and technology expertise of major cloud vendors such as Amazon, Microsoft, Google, and IBM ensure the most advanced security protocols and layers to guarantee data safety and security. With these advancements in technology as well as the huge success and willingness shown by organizations to adopt cloud computing solutions for success and speed covey that it is a very exciting time to look ahead for cloud computing.  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

23 Nov'20
Introduction to Cloud Computing: Concepts, Models, Characteristics & Benefits

7.4K+

Introduction to Cloud Computing: Concepts, Models, Characteristics & Benefits

Cloud Services are the services and solutions that are consumed and delivered in real-time over the internet. For an introduction to cloud computing, you should probably start with an example: when you store your photos online, use webmail or social networking site, you are using a “cloud computing” service. Check out our free technology courses to get an edge over the competition Cloud computing is nothing but a delivery model of computing services that are done over the internet. It unlocks various features, such as real-time deployment, development, and delivery of solutions and services. 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. Here are the various services from Cloud Computing Colocation/Remote Services – In this type of service, the servers are located across multiple locations worldwide, and remote devices can access the server services. Backup/DR – Cloud offers support for Backup and Disaster Recovery. Virtual Desktop/Applications – Cloud Computing provides support for Virtual Desktop and Application. Web/App Hosting – This is a hosting service for Web and Applications. Check out upGrad’s Advanced Certification in Blockchain Cloud Concepts include   Cloud Services   Cloud Delivery Models Check out upGrad’s Advanced Certification in DevOps  Cloud Service Models There are various cloud service models, such as IaaS, PaaS, SaaS, DaaS, CaaS, XaaS, BPaaS. The three major service models are listed below, IaaS – Infrastructure as a Service, the objective of IaaS is the provisioning of Infrastructure resources (example Virtual Machines) to the clients; network Architects work at this layer of Cloud computing. Generally, IaaS is the base for the Cloud Service models. PaaS – Platform as the Service, this cloud service model consists of the service that contains IaaS + PaaS layer will also contain Operating System, the Application Developers work at this layer to create or test their applications. 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 SaaS – Software as the Service, this cloud service model will consist of IaaS as the base layer; additionally, it will also contain the applications used by End-users (Clients). Cloud Deployment Models Private Cloud  Private Cloud is the first type of deployment model in cloud computing.  A private cloud is a cloud infrastructure that is operated just in a single organization. It can be managed internally or by third-party providers.  Private cloud needs physical presence, space allocation, hardware, and environmental controls. These factors involve capital expenditures.  It can be deployed by using Microsoft System Center, Vmware Vcloud, Openstack, Eucalyptus. Public Cloud In Public Cloud, the infrastructure and services are provisioned for open use by the general public. It may be owned, managed, by a business or a government agency. The devices exist on-premises of a cloud service provider. Public cloud features are: Hosted at the service provider site. Utilizes the shared infrastructure. Supports connectivity over the internet. It is cheaper than an enterprise private cloud. If you use an email client connected to Gmail, Outlook.com, or Yahoo, you are using a public cloud application. Various service providers for public cloud are AWS (Amazon Web Services), Microsoft Azure, Google Compute Engine, IBM SoftLayer, HP Helion Public Cloud Read: Cloud Computing Ultimate Guide 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 Community Cloud The third type of cloud deployment model is Community Cloud. A community cloud is a shared environment in which several companies, or even individuals, gain the benefits of a public cloud by using private cloud-like controls and security. This kind of cloud infrastructure is provisioned for use by a particular consumer network (for instance, Insurance, Banks, Airlines). It may be owned, managed by one or more organizations inside the community. It may exist on or off-premises. Hybrid Cloud The fourth deployment model is the Hybrid Cloud. This cloud infrastructure is a composition of two or more cloud infrastructure (public + private). It is utilized to set up proprietary or standardized technology that empowers application and data portability. What is Object Storage? As an introduction to cloud computing, try to get this, just like we move photos from devices to a PC, – Simplify management and usage – Organize, protect and share photos, IT Cloud industry uses Object stores for similar reasons – To consolidate, organize and protect user data – To manage data and faster search. Traditional Storage used concepts of SAN (Storage Area Network) and NAS (Network Attached Storage). Object storage eases storage administrators from tiresome tasks like creating and managing the logical storage volumes, formatting, and managing RAID levels in case of any unfortunate event of storage device failure. 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 Characteristics of Object Storage Linear Scalability – The storage can scale up to support billions of objects. Support for large files – in the object storage terminology, the supported single object sizes are in TBs (Terabytes). Web Friendly – Objects can be stored and retrieved using the Web User interface, HTTP-based, and RESTful API (Representational State Transfer, Application Programming Interface). Metadata and extensibility – Object storage adds metadata to the object, as controlled by the interface in use when it creates or rewrites it as an object. Geo Scale – Objects can be geographically replicated and distributed. No Locking – Objects can be edited, as there is no locking on write or create operations. Also Read: Top Cloud Computing Models Explained 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   Cloud Benefits  Reduce the Costs for IT Maintenance- Servers under Virtualization can mean a diminishing in the number of servers you need in a significant organization, liberating space in data centers, and permitting them to set aside huge amounts of cash on power, cooling, and infrastructure. Easy Upgrading of the infrastructure and Lower Cost of Ownership -It is very much expressed that the normal expenses can be viewed as operating expenses (OPEX) instead of capital expenditures (CapEx), giving an association’s monetary adaptability. Due to the usage of the cloud, the Ownership cost reduces. Off-site data storage– Cloud Computing offers the added benefits like Disaster assistance from the vendor and “Off-site data storage,” ensuring that organization data is always available. 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 Cloud has a component in which services are “Consistently UP and running.” It guarantees Productivity for end clients to get to the applications on any devices going from Workstations to Smartphones. At upGrad, we offer the Advanced Certificate Program in Cloud Computing From IIIT Bangalore. 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

24 Dec'20
What Are The Cloud Cost Models? Top 9 Cloud Cost Models Explained

11.78K+

What Are The Cloud Cost Models? Top 9 Cloud Cost Models Explained

Prominent businesses prefer the cloud for their apps to serve, win, and retain customers. The demand for cloud computing is growing in all its forms. According to the Market Research Firm Gartner’s new market forecast, this growth is estimated to be 18% by 2020. The worldwide revenue has increased from 209 billion USD (United States Dollar) to 246.8 billion USD. Each company’s infrastructure is unique, and thus cloud computing service demands are different for every client. Cloud computing service providers supply cloud computing models based on customer’s demand suitable to the infrastructure and market.    There are different categories of cloud computing cost models depending on four major parameters viz.: fact, value, demand, and supply. Other several factors such as cloud technology, business strategy, competitive market environment, investment budget, and targeted customers are considered while mapping cloud cost models into different categories and strategies. There are three strategies for costing and a 3X3 matrix for the value that defines a conceptual framework to examine systematic cloud cost models. Check out our free courses to get an edge over the competition. What are the Cloud Cost Models? Cloud cost models are dynamic in nature as the supply and demand keep fluctuating. These depend on multiple characteristics and are auction-based, time-based, or cost-based. There are three cloud pricing strategies that are subjective (value), objective (fact), and market-based. Demand drives value-based cost; supply drives cost-based cloud model; whereas an equilibrium of both supply and demand drives the market-based cloud model. Check out upGrad’s Advanced Certification in Cloud Computing Cloud cost modeling has research challenges that include moving from pure cost-based to both value-based and cost-based cloud cost modeling. Other challenges are moving from statefulness to stateless pricing, transferring from mutable to immutable pricing, and developing cloud cost models that attract cloud customers. Sixty different cloud cost models are determined as per this analysis. 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   Let us understand what different cloud service cost models are: 1. Service-Based Cost Model It emphasizes value delivery with physical product-oriented pricing. Service-based cost models are used in banking, airline, travel, legal consultant, insurance, hospital, and so forth. The service-based model’s value is measured using the unit of a level, tier, per device, user, and priority. The value of this model can be identified and predicted.  Check out upGrad’s Full Stack Development Bootcamp (JS/MERN) 2. Performance-Based Cost Model It is an arrangement in which the seller pays based on the actual performance of a cloud model or service as per M. McNair’s definition. It is connected to the client’s business outcome that relies on specific performance metrics. Examples of this model’s applications include telecom services such as mobile apps, multi-party video conferences, satellite connectivity.  Read: Cloud Computing Types 3. Customer Value-Based Cost Model It sets a price from a subjective view of a client focusing on the client’s value delivery. There are four categories of value-based cost models: perceived value, feature, psychological and hedonic-based model. The construction of these models is based on perception, sociology (large environment), psychology, and economics (utility). The customer value-based cost model maximizes the business’s profit and leads in the market. 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 4. Free Upfront and Pay Later Cost Model The competition among cloud service providers is increasing along with its demand. Many cloud service providers offer free upfront and pay later cost models to leverage their products with basic features to gain more customers and make profits from premium clients. Three cost models are available viz. free product cost on advertising, freemium, and razor and blades cost model. 5. Auction and Online-Based Cost Model Auction based cost model decides the pricing. As per Asuncion Monchan, an Auction is a market mechanism, operating under specific rules that determine whom one or more items will be awarded and at what price. It is relatively faster and transparent, with no backward and forward processing steps.   6. Retail-Based Cost Model It is based on a small number of customers that buy from physical locations/ retail outlets. It applies to the B2C (Business-to-Consumer) model. It has four subcategories of cost model: discount and allowances, product mixing, promotional and discriminatory pricing. 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 7. Expenditure Based Cost Model A cost is decided on using the application for a central component as a unit of charge. It has three types of cost models: cost-plus, target return, and percentage cost model. 8. Resource-Based Cost Model This cost model depends on the consumption of services. It is one of the categories of cost-based cost model strategy. 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? 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   9. Utility-Based Cost Model As per Nayan B. Ruparelia’s definition, “Utility models are metered price models whereby your usage of the service is monitored, and you pay accordingly.” Customers need updated cloud models and resist accepting obsolete hardware-based costing. They demand renewation in contracts as per the metering of utility-based IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service) models. Cloud cost models vary as per unique discount options and frequent price cuts to attract customers. Also Read: Cloud Computing Applications  Conclusion A range of models from pure subscription (Pay Per USer) to resource-based on demand is available for customers. In the subscription model, payment is charged whether the client uses services or not, but cost models based on the market are set only when services are used (Pay As You Go).  A combination of both can be provided with subscription offers depending on the cloud service provider. 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. 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.
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by Pavan Vadapalli

05 Feb'21