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- What are the Prerequisites to Learn Cloud Computing?
What are the Prerequisites to Learn Cloud Computing?
Updated on 10 April, 2024
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Cloud computing is among the hottest and trending domains in the present job market. The scope of cloud computing has become brighter recently as more and more companies have understood the importance of integrating these solutions into their operations.
The pay of a cloud computing professional in India can go up to INR 10,000,000 per annum, so you can understand just how lucrative this field is!
However, before you start learning cloud computing, you’ll have to familiarise yourself with several subjects. This article will cover all the cloud computing prerequisites to help you kickstart your learning journey.
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Cloud Computing Prerequisites
Cloud computing is an advanced sector and requires you to be familiar with multiple subjects because it is related to many technologies. Here are the primary topics you should know to start learning cloud computing:
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1. Programming Skills
As a cloud computing professional, you’ll need to have proper programming skills because you’ll be working with several programming languages. Cloud computing professionals use multiple programming languages including Java, PHP, Python, and .NET. Each of these languages has its distinct advantages so you should focus on developing a basic understanding of each of them.
For example, Python has multiple libraries that make specific programming tasks easier and efficient. On the other hand, PHP is necessary for developing cloud computing applications.
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Knowing how to create a program and having coding skills will also help you in becoming a cloud computing professional. If you’re a beginner in programming, you should start with Python as it has a simple syntax and doesn’t require you to have any coding experience.
2. Familiarity with Databases
Databases allow companies to easily store and access a lot of information. Cloud computing professionals help their organizations by creating and managing cloud-based databases. Thus, it is crucial to understand the functionality of databases.
Moreover, cloud-based databases have become increasingly popular in the last few years because they let an organization avail the benefits of having a database without the necessary hardware.
Apart from covering the basics of databases, you should also learn related technologies. SQL is the programming language for handling a relational database management system. Apart from SQL, other prominent database technologies are MongoDB, MySQL, and Apache Hadoop.
Having a basic understanding of these technologies is sufficient to start learning cloud computing. If you aren’t familiar with these subjects then we recommend starting with learning the fundamentals of databases and SQL.
3. Basics of Security and Privacy
Digital security and privacy concerns have become a significant issue recently. Currently, hackers attack people 2,244 times per day, which means they are attacking every 39 seconds.
Companies have to make sure that their cloud storage and cloud-based applications remain safe from hackers and other malicious elements. That’s why you should study the fundamentals of cybersecurity. You should be familiar with the best practices to prevent cybersecurity threats as they mitigate the risk of a successful hacking attack substantially.
Some of the prominent subjects you can learn about are cryptography and encryption. They are vital for studying cybersecurity so you can start with them. Even a little familiarity with these subjects would be sufficient for your preparation. Cybersecurity is a prominent prerequisite for cloud computing so we recommend focusing on it.
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4. Knowledge of Agile Development
Agile development is a software development methodology that focuses on developing products through the collaboration of cross-functional and self-organising teams and their users. In this methodology, a team releases the product after it has reached a certain development stage and then modifies the product based on the user feedback on the same. The user’s feedback plays a huge role in agile development as it helps the developers understand the weak areas of the product and work on them.
An excellent example of agile development is mobile apps. Companies release a mobile app and then release new updates now and then for the app to enhance their user experience.
Agile development has become widely popular in the last few decades as it allows companies to release many products effectively and efficiently while satisfying the customers. Almost all the major companies use agile development methodology so learning about it will surely help you professionally. You should be familiar with its principles, terminology, and implementation.
5. Familiarity with Operating Systems
You should be familiar with the basic operations of different operating systems such as Windows, macOS, and Linux. Linux is a little more important than the other operating systems because it’s a widely popular solution among companies for cloud computing implementations.
This is the simplest prerequisite for cloud computing as it takes very little effort to familiarise yourself with an OS’s operations. If you’ve been using a PC or a similar device for quite some time, you’d already be familiar with most of the concepts.
6. Understanding of Virtualization
Virtualization is the process of creating virtual devices, infrastructures, and servers on one computing device. You create a virtual, software-based representation of another device such as virtual storage, network, or application in this process. Virtualization helps companies in reducing operating costs as they can multiply the available software devices without increasing the hardware.
It’s necessary to be familiar with the basics of an operating system before you learn virtualization. You should know how to create a virtual machine on your computer and also how to create multiple VMs.
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7. Basics of Networking
After you have learned about virtualization, you should focus on networking. In cloud computing, networking focuses on hosting some or all network resources from the cloud. This includes virtual firewalls, virtual routers, network management software, bandwidth, etc.
As a beginner, you should start with learning about IP addresses and how they work. Understanding the concept of IP addresses is fundamental to learning the advanced concepts of networking. The network in a cloud-based solution allows the user to connect with the cloud services.
Apart from connecting the users to the cloud service, the network also allows the different components of the cloud-based solution (servers and storage nodes) to connect.
How to Learn Cloud Computing Prerequisites (and More)
Learning about cloud computing can be quite daunting. In fact, simply learning every prerequisite for cloud computing is a herculean task in itself.
As there’s a lot to cover, the best way to learn cloud computing is by taking a cloud computing course. With a cloud computing course, you can learn all the necessary skills and subjects efficiently as the course provides you with a structured curriculum along with additional benefits.
Our PG Certification in Cloud Computing offers you more than 250 hours of learning material and covers many prominent technologies including Java, AWS, etc. The course provides you with IIIT Bangalore alumni status and offers 1:1 personalized mentorship from industry experts to resolve doubts quickly. You’ll get to study the development of microservices, distributed systems, all the cloud computing prerequisites, and work on industry projects.
This way, by the time you finish the course, you’ll be a job-ready cloud computing professional. The course comes with upGrad’s exclusive placement support.
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Conclusion
It is no surprise that a diverse and complex field like cloud computing has so many prerequisites. While the learning process may seem challenging, you can master them with perseverance and the right professional guidance.
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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.
Frequently Asked Questions (FAQs)
1. What are the most common Cloud computing challenges?
There are certain issues and challenges that arise with Cloud computing. Data security is a significant concern in Cloud Computing, since it allows collaborative access for all persons involved in a team to edit and delete data. Similarly, identity thefts, data breaches, and malware infections are issues that decrease the trust among users of applications. Performance challenge is another issue where if the performance of the Cloud is not satisfactory, it can drive away users and decrease profits. Other common Cloud challenges can be interoperability and flexibility, high dependence on the network, lack of knowledge and expertise, and cost management.
2. What are Hybrid Clouds and Multi-Clouds?
A Hybrid Cloud is one in which applications run in a combination of different environments. A Hybrid approach allows you to decide where your application is. A hybrid Cloud approach is suited if one wants to take advantage of the scale and security of a public Cloud. On the other hand, Multi-Cloud is a strategy employed by organisations in which two or more Cloud service providers or services are used to perform a variety of functions, such as Cloud storage and Cloud computing. With a multi-Cloud strategy, organisations can provide a combination of public and private Clouds.
3. Where is Cloud Computing used?
The applications of Cloud Computing include data storage and offering remote access to any work-related data. For businesses, the Cloud has the potential to transform operations. Offices with computer networks would no longer have to deal with the software installation for each computer. Cloud computing is used either for in-house operations or as a deployment tool for software on the corporate level. From government agencies and NGOs to non-profit organisations, the various uses of Cloud computing have proven effective in providing an array of solutions to multiple problems. With Cloud Computing, you can also build a disaster recovery solution in the Cloud which is another area where the application is used.
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How To Become A Good Cloud Engineer
Cloud computing is transforming the technology industry and emerging as one of the most bankable career options today. The services have made storing, managing, and processing data effortless and more flexible. A cloud engineer is adept at building and maintaining cloud-based systems and technologies. Read on to learn everything on how to become a cloud engineer.
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What is cloud computing?
Cloud computing encompasses hardware, software, and infrastructure that helps in delivering a service over a network, generally the internet. The process entails storing the data on remote servers so that it can be accessed without using your computer’s hard drive. So, a cloud makes it possible for multiple users to use files and applications from a device that can access the internet.
One of the most common examples is Google Drive. It is a personal cloud storage service that enables users to store and synchronize their digital content across different devices like computers, laptops, tablets, and Android-powered smartphones. Apple’s iCloud is another example of cloud computing services.
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The software can be ‘Cloud-first’ or ‘On-premise’. While a cloud-based software is hosted on the vendor’s server, the latter is installed locally on a company’s server. Users access the cloud-first service using a web browser, whereas the local application runs only on the company’s own computers.
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A cloud engineer’s work
Cloud engineers perform several functions in modern-day organizations. They are professionals who migrate the functions to a cloud-based system after assessing the business infrastructure. Such tasks include building and maintaining cloud services, for which they leverage their technical skills and business acumen. One of the staple requirements is working knowledge of at least one of the major cloud service providers, such as Google Cloud Platform, Amazon Web Services, Microsoft Azure, etc.
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Additionally, cloud engineers collaborate with other functional experts and work to enhance team efficiency. They automate deployment and testing pipelines and also play a significant role in maintaining the cloud systems.
From formulating a migration strategy for new environments to providing support for cloud-hosted applications and services, the work of cloud engineers is wide-ranging. Therefore, cloud computing has cemented its place among the highly lucrative fields in the IT world. As per the 2019 Cloud Adoption Survey by NetEnrich, about 68% of all enterprises are using public cloud infrastructures.
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Fundamentals of Cloud Computing
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Industry demand for cloud computing
Cloud computing has revolutionized the way companies operate. It has provisioned rapid, on-demand access to a shared pool of resources, including storage, applications and services. Moreover, cloud-based systems considerably reduce IT costs as they require minimal service provider interaction or management effort. They simplify and optimize the process of storage, computation, and retrieval of data.
Apart from the obvious advantage of lending flexibility to operations, cloud computing improves efficiency and scalability of work practices. Application of new technologies like Artificial Intelligence (AI) and the Internet of Things (IoT) require enormous loads of data and lightning-fast processing times. Without cloud computing, it would be tough to imagine such access on an as-needed basis.
Cloud computing is likely to be in even higher demand in the coming years, owing to these diverse capabilities. A recent study found that 83% of enterprise workloads will be in the cloud by 2020. So, ‘how to become a cloud architect’ would be a legitimate question on the minds of most techies.
Pursuing a career in cloud computing would bring in the big bucks, too. According to Indeed, cloud engineers in the US can earn as high as $118,586 in a year. And Glassdoor estimates an annual salary of Rs 900,000 for their Indian counterparts.
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Types of roles
As we discussed earlier, cloud engineers can take up diverse roles in an organization. Some of them include:
Cloud Developer
Cloud Architect
Cloud Systems Engineer
Cloud Network Engineer
Cloud Security Engineer
DevOps Engineer
So, ‘cloud engineer’ is a collective term. You can pick a learning approach and develop your skills based on your desired role. However, the fundamentals of all cloud computing functions are the same. The typical job involves designing and implementing cloud software, supporting the monitoring tools, troubleshooting underlying configuration issues, and providing technical expertise for data interpretation tasks. Cloud engineers bring a systematic approach to standardization, commercialization, and governance of cloud-based applications. In this way, they define solutions that contribute towards a shared architecture.
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How to become a cloud engineer
To become a cloud engineer, you should typically have a bachelor’s or B.Tech degree in IT or Computer Science. Also, proficiency in programming languages such as C++, Java, Python, AngularJS, etc. can be beneficial. And expertise in SQL, Hadoop, Scala, Spark, DevOps, and other such platforms can give you an edge. Another requisite is a working knowledge of operating systems like Windows and Linux.
Since modern workplaces have an increased demand for cybersecurity skills, there is vast scope for cloud engineers in the security domain as well. Prior experience in handling monitoring tools and managing tracking systems also comes in handy for cloud computing jobs.
Developing your skills
Before undergoing a full-fledged training in cloud computing, you should consider learning the basics on your own. Brush up your concepts, from the meaning and advantages of cloud computing to service and deployment models. For this, you can take help from free online tutorials and blogs.
Once you have understood what cloud computing is concerned with, move on to other related concepts. Some of them include:
Networking: IP address, routing, networking layers, protocols, etc.
Information Security: Basics of encryption, data security, access policies, etc.
Computer Architecture: fundamentals of system design principles
Understand database management systems like SQL
Familiarize yourself with Linux OS etc.
A pro-tip is to prepare a study plan and stick to it. And once you are through, educate yourself about the offerings of major cloud service providers. Having a firm grasp of the foundational knowledge would ease the process of exploring their management consoles. Various portals like those of GCP, AWS, and Azure are available online for free. Compare them and practice as much as you can. Here, it would be best if you also spent some time on load balancing, cloud monitoring, application migration, etc. To gain more proficiency, take a practical approach. By doing this, you can get the hang of many best practices to be followed for deploying an application on the cloud. Complete projects wherein you apply everything that you learned.
Training in cloud computing
A cloud engineer is basically an IT professional who is equipped to tackle the workload of cloud computing. Certain technical skills are required for both entry-level and experienced positions in this field. Therefore, many training courses on how to become a cloud architect have cropped up in recent years. Through structured training, you not only benefit from expert guidance but also learn better with practical demonstrations and hands-on assignments. Such projects prove advantageous for the application of skills on an industry level.
Usually, you have to take an exam at the end of the training period. If you attain the minimum score, you will receive a certification. Such certifications can be immensely useful, especially at a time when AWS is one of the top skills that employers seek for all major tech positions. Being a certified professional would also add credibility to your profile.
In a nutshell, the five-step plan on how to become a cloud engineer would be:
Understand the basics
Revise computing fundamentals
Dig into service providers and practice
Complete a project
Prepare for the Certification exam
Before you begin your journey, do not forget to set timelines and learning milestones to be achieved at specific intervals.
In the beginning, it may seem daunting to delve into the new concepts of cloud computing. But the above tips on how to become a cloud engineer will help you get a clearer perspective and stay relevant in the ever-changing world of tech!
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.
Read Moreby Kechit Goyal
10 Feb'2015.83K+
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.
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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.
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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.
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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.
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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.
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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.
Read Moreby Kechit Goyal
10 Feb'205.94K+
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?
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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.
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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.
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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.
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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.
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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.
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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.
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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?
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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.
Read Moreby Kechit Goyal
18 Mar'208.93K+
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.
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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.
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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.
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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
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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.
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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.
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Hybrid cloud
A hybrid cloud is a combination of private and public clouds. This provides better flexibility and deployment options to an organization.
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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.
Read More18 Jun'20
6.17K+
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.
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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).
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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.
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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.
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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.
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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.
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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.
Read More14 Sep'20
5.43K+
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.
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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.
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Isn’t it great? Cloud makes it simple for everyone.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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
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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.
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23 Nov'207.44K+
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.
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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.
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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.
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Cloud Concepts include
Cloud Services
Cloud Delivery Models
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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.
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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
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Read More05 Feb'21