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Top 15 Exciting Cloud Computing Projects on GitHub For Beginners [2024]

Updated on 10 April, 2024

17.79K+ views
11 min read

Cloud computing allows you to store, manage, and process data using a network of remote servers hosted on the internet. It offers an affordable, efficient, secure, mobile, and scalable solution over the use of local servers and personal computers. There is a newfound interest in this technology around the world among software engineers, developers, researchers, and students. 

This article compiles some of the top cloud computing projects on GitHub to help you build your technical skills. It also throws light on some of the popular cloud computing mini projects with source code, and advanced cloud projects with source code as well as simple cloud computing projects with source code.

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Cloud Computing Features

According to the tech advisory firm, Gartner, cloud computing achieves outcomes with the aid of five key attributes, namely:

  • Service-based
  • Shared
  • Elastic and scalable 
  • Metrics tracking
  • Internet technologies

Some other characteristics of cloud computing include

  • Resource-Pooling

One of the most important characteristics of cloud computing is that one single cloud computing service provider can share resources with different clients based on their individual requirements. This multi-client method can be applied in varied tasks like data storage, processing, and bandwidth-provided services. 

  • Easy To Maintain

Yet another key characteristic of cloud computing is that it can be effortlessly maintained, sometimes even with very low or zero downtime. This is because cloud computing resources are constantly updated with the latest changes that optimize their performance and capabilities. 

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  • Economical 

Cloud computing also plays a major role in the reduction of IT expenditures of organizations. In cloud computing, clients have to pay only for the space that is required, thus avoiding the burden of additional costs. 

  • Security

One of the best characteristics of cloud computing is data security. Even if any organization loses vital data, cloud computing services always have a backup available of the same. In this way, the copy version can automatically be restored back from other servers. This feature is especially useful when multiple employees work on a particular file in real-time, and a file suddenly gets corrupted.

  • Automation

Last but not least, one of the most advantageous features of cloud computing is its automated nature. Cloud computing services help automate installation, configuration, and maintenance tasks quite effortlessly, with the help of technologies. This essentially leads to a significant reduction in manual labor and, ultimately, less human error.

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Why Cloud Computing Projects

The scope of growth of pursuing cloud computing careers is likely to expand in the coming years. As more and more organizations transition to cloud infrastructure for their operations, the demand for IT professionals with specialization in the field will also increase. And considering the lack of cloud computing experts in the market today, the salary levels are expected to be high. A report by Great Learning estimates that India will add more than a million jobs in cloud computing by 2022. So if you are looking for some cool cloud computing Github project ideas, don’t worry we have got you covered. 

With each passing day, the usage of cloud computing projects in python is also steadily increasing. On that note, here are some of the cool cloud computing projects in python that you can check out. 

  • Multi-cloud and Cloud Federation Management
  • Cloud Monitoring and Metering
  • Cloud Security, Privacy, and Trust

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Cloud Computing Projects on GitHub

Let’s get started with the top 18 cloud computing Github project ideas mentioned in the following list.

1. Docker Curriculum

Explore the comprehensive Docker tutorial on GitHub if you are just getting started with this software platform. With Docker, you can learn to build, test, and deploy distributed applications quickly and easily. Leading global companies are embracing Docker containers as cloud, and its related technologies continue to grow. So, being familiar with its working can give you a substantial competitive advantage in the job market.

2. SMART Platform

It is a next-gen container for cloud applications. Check out its GitHub repository link here. It comes packed with several utilities and a sample app. You can also try the demo source code for running on SMART.

3. Orleans

Orleans is often called the “Distributed .NET” as it provides a novel approach to building distributed apps with .NET in the cloud era. This cross-platform framework was first created by Microsoft Research and later introduced by the Virtual Actor Model. 

Its programming model can handle highly-parallel distributed systems without posing limitations on the work of developers. Orleans builds on the developer productivity of .NET and easily scales from single on-premise servers to global applications on the cloud.

It can extend concepts like objects, interfaces, try/catch, async/wait, etc. to multi-server environments. If you are already well-versed with single-server applications, you can use Orleans to transition to building resilient cloud services.

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4. OpenShift Origin

It is an open-source upstream project for Red Hat OpenShift. Released as OpenShift Origin in 2012, the program was renamed OKD in 2018. OKD translates to the Origin community distribution of Kubernetes. It adds development and operational tools on top of Kubernetes to offer the following capabilities:

  • Rapid application development
  • Multi-tenant deployment
  • Scaling
  • Lifecycle maintenance of teams

Visit the project link on GitHub to know more.

5. Pulumi

Pulumi can help you create and deploy cloud software with containers, infrastructure, serverless functions, and hosted services. It is a modern infrastructure as code for any cloud and language. In other words, Pulumi can automatically provision and manage your Google Cloud, AWS, Azure, or Kubernetes resources from your code, which may be written in any language. This infrastructure-as-code approach makes it one of the most preferred project topics.

6. Reflow

Reflow takes care of distributed and incremental data processing in the cloud. It is a language and runtime system that enables software engineers and scientists to write straightforward programs and then execute them in a cloud environment. The use cases of Reflow can range from managing large-scale bioinformatics workloads on cloud services to training models and analyzing data. 

7. Friend OS

Consider this project as an example of the Internet Operating System for any device that leverages cloud computing power. To use Friend OS, you only need a device connected to the internet without choosing proprietary software. It gives you the control and security to create, store, and share your data across multiple devices and access them anywhere.

With Friend OS, you are free to work independently from your local web-enabled hardware. It has a highly responsive desktop environment and client-side technologies that support all screen formats, including laptops, smartphones, and VR.

8. Cloudsuite

It is a benchmark suite for cloud services that comprises eight applications chosen based on their datacenter popularity. Real-world software stacks and setups can help you add a new dimension to your cloud computing knowledge. So, dive into CloudSuite and acquaint yourself with the best practices.

Read: Top 4 Cloud Computing Models Explained

9. HermitCore

It is a library containing a C-based unikernel. HermitCore can deliver high-performance cloud computing by extending the multi-kernel approach with unikernel features. Therefore, you get the multi-kernel benefits with a classic, lightweight, standalone unikernel. 

HermitCore is an experimental project at the RWTH Aachen University that seeks to reduce the resource demand and boot time for our computing apps.

10. Cloudskew

If you are looking for free cloud architecture diagrams, the Cloudskew project is for you. You can create AWS, GC, AZURE, OCI, and Kubernetes diagrams easily with the online editor without installing anything. You can just log in and begin drawing! 

The app offers preloaded icons, a built-in document editor, and link sharing capabilities. You can also export your creations to PNG/JPG formats or print them. 

11. Dispy

Dusky stands for Distributed and Parallel Computing Framework for Python. It offers a detailed and easy-to-follow framework that lets you create and use compute clusters. Dispy comes to your rescue when executing computations parallelly and across several processors in a simple machine, cluster, or cloud.

It is a well-suited option for the SIMD paradigm. Here, a computation gets independently evaluated with large datasets without any communication between the tasks, apart from sending intermediate results to clients. 

12. InVerto.net

It offers the advantages of high-speed forensics and memory integrity. Here are some of the features of this easy-to-use and future-proof project:

  • Offensive & defensive memory
  • Find/Extract processes
  • Hypervisors in memory dumps (using micro-architecture)
  • Virtual machine introspection techniques

13. Crossplane

Crossplane allows you to manage the infrastructure of your applications directly from Kubernetes. This open-source project aims to become the best Kubernetes add-on out there. Here are are some of its capabilities:

  • Effortless provisioning and management of cloud infrastructure using kubectl
  • Publishing custom resources to be used by your applications
  • Deploying apps with Open Application Model (OAM) and a team-centric method

14. Service Fabric

This project can teach you how to package, deploy, and manage stateless and stateful dapps and containers on a large scale. You can run the Service Fabric distributed system on Linux, Windows, any cloud or data centers across different geographies and devices.

15. Nucleus

It is a RESTful abstraction layer that unifies Platform’s essential management functions as a Service or PaaS system. The Nucleus API provides swagger schemas by utilizing Ruby and the grape framework. These are immensely helpful for documentation and client generation.

Also Read: How Does Cloud Computing Work? Different Cloud Models Explained

16. Cloud Custodian

Cloud Custodian is designed to enable users to define policies for a well-managed, secure, and cost-efficient cloud infrastructure. This rule engine is especially useful for public cloud accounts and resources. 

With the help of Cloud Custodian, organizations can manage AWS, Azure, and GCP environments to ensure efficient compliance with security and tag policies and cost management. It is a project led by CNCF Sandbox, with a community consisting of hundreds of contributors.

17. Cloudquery

Cloudquery is an open-source data integration platform that enables organizations to extract, transform and load their cloud assets. Companies can also assess, audit, and monitor the configuration of all their cloud assets. This platform has been designed especially for security and infrastructure teams.

18. Cloud Game

Cloud game is an open-source gaming platform designed especially for retro games. What started as an experimental project to test the performance of cloud gaming has now turned into a full-fledged platform with the aim to deliver the most convenient gaming experience through the latest technology. Using this platform will enable customers to play any retro game on their web browsers directly. It is also fully compatible with multiple platforms like Dekstop and Android. 

Some popular simple cloud computing projects with source code or cloud computing mini projects with source code ideas might include cloud-based e-learning, cloud-based smart traffic management systems, and a cloud-based conversational interface. 

If you are looking for something on a more advanced level, then here are some of the top cloud projects with source code. 

  • Internet Of Things Remote Controlling and Monitoring
  • Bug Tracking In Cloud Computing 
  • Automated University’s Online Services

Wrapping up

With this, we have described some of the top cloud computing projects on GitHub. Finding the right project in a sea of ideas can be a changing task. Hopefully, your choice will be aided with the above list of topics and explanations.

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.

Frequently Asked Questions (FAQs)

1. What are the drawbacks of Cloud Computing?

There are minimal drawbacks to cloud computing, with one notable exception: the chance of receiving poor service from the cloud provider. Choosing the incorrect cloud computing service provider might turn out to be incredibly costly for any company. Also, relying on a sole vendor's cloud SaaS, PaaS, or IaaS solutions can put all of the burdens of the IT sector's service delivery within the company in the hands of a third party. Similarly, any company contemplating cloud computing services should make sure they have thoroughly evaluated the portability, availability, and adaptability of the solutions that they are considering. They should also look at the reliability of the Cloud solution provider(s) that their company intends to use.

2. What do you mean by GitHub?

GitHub is an Internet platform that leverages the use of Git, a free and open-source version control system that allows several individuals to simultaneously make changes to web pages. Since GitHub enables real-time communication, it motivates teams to collaborate in site content designing and development. GitHub allows numerous developers to work on the same project at the same time, which lowers the chance of duplicate or conflicting work and speeds up production. Developers may use GitHub to concurrently write code, track changes, and come up with new solutions to problems that may occur during the site development process. Non-developers can use it to build, modify, and enhance website content.

3. Why do Cloud Developers use GitHub?

The fact that GitHub is fully free and open-source is the primary reason why cloud developers use it. This allows developers to construct and modify their applications without having to worry about fees or limitations. Second, GitHub is really quick and has excellent backup. This lowers the risk of data loss and allows developers to create projects in less time. GitHub, above all, allows several developers to collaborate on a single project. This allows multiple project team members to work on the same project at the same time.

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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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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.  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 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.  Read our Popular Articles related to Software Development Why Learn to Code? How Learn to Code? How to Install Specific Version of NPM Package? Types of Inheritance in C++ What Should You Know? How 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.
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by Kechit Goyal

10 Feb'20
What Are The Skills to Become a Cloud Engineer ??

15.84K+

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]

5.94K+

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? 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

8.93K+

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. 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

6.17K+

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.  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]

5.43K+

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. 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

10.69K+

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

7.44K+

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. 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

11.88K+

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