Trending November 2023 # 7 Best Cloud Computing Certification & Courses (2023) # Suggested December 2023 # Top 18 Popular

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Cloud computing now plays a major part in most business processes, which has led to high demand for professionals with cloud computing skills. In order to secure a role in departments that deal with cloud-based systems, the candidates must at least have a course completion certificate attached to their resume as a beginner.

However, the certificates must have a reputation among the hiring organizations. Therefore, a poor-quality course or an invalid certificate can cause hindrance in opportunities. It is best to research the courses before giving in to possible scams. Employers look for applicants who have certificates or finished courses from reputed institutions in cloud computing.

We have listed only the most respected online courses with valid certifications. This list has been prepared after in-depth research so that you can find the accurate course for growing or starting your career in Cloud Computing.

Best Cloud Computing Certification Courses

Google Cloud Fundamentals: Core Infrastructure is a certification course created by Google that introduces the learner to important terminologies and concepts to understand Google Cloud. The course includes video classes and hands-on labs to compare and present several Google Cloud Computing services with vital policy management tools and resources.

With this course, you will acquire Google Cloud Engine, Cloud Computing, Google Cloud Platform, and Google App Engine (GAE) skills. You will pick up the skill to identify the importance and purpose of various Google Cloud products and select them as per your project demand.

Key Topics:

Introducing Google Cloud

Resources and Access in the Cloud

Virtual Machines and Networks in the Cloud

Storage, Containers, and Applications in the Cloud

Developing and Deploying in the Cloud

Logging and Monitoring in the Cloud

Summary of the course


It has a Self-Paced Learning Option.

This course includes graded Assignments with Peer Feedback.

It has flexible deadlines.

Its subtitle comes in multiple languages.

This course includes Coursera labs for hands-on experience.

It is 100% online, so you can start learning immediately.


Who is this course for?

This top cloud certifications is prepared for anyone who is interested in gaining some knowledge about the Google Cloud Platform without any prior knowledge.

It is also for cloud computing professionals who already work in this area or GCP-related fields to help them with a better understanding.

This course is for people who further want to learn Networking in Google Cloud Specialization and Developing Applications with Google Cloud Specialization.

👍 Pros 👎 Cons

This course is highly interactive, hence, the learner gets a lot of improvement suggestions. Some of the materials are outdated.

The labs look good and are well thought out. Its hands-on experience is limited.

Verdict: It is a comprehensive introduction course for GCP’s core infrastructure and is designed for anyone who is interested in cloud computing.

Ultimate AWS Certified Developer Associate – NEW DVA C02 is a complete practice exam with well-explained videos. This is one of the best cloud certifications, as it provides 700+ downloadable PDF slides and several hands-on lectures in every section. You will learn the brand new cloud paradigms like Serverless, making this certification highly valuable.

Using this course, you will be equipped to pass the AWS Certified Developer Associate exam and further take courses like AWS certified solutions architect. It will also train you to write infrastructure as code using AWS Cloud Information and much more. You will learn this certification course from Stephen Maarek, an AWS Certified Cloud Practitioner, Solutions Architect, and Developer.

Key Topics:

Introduction to AWS Certified Developer Associate

Getting Started with AWS


EC2 Fundamentals

ECT Instance Storage

AWS Fundamentals: ELB+ ASG

Advanced Amazon S3 and Amazon S3 security


You will receive 33.5 hours of on-demand videos

It includes one practice test.

This course has eight articles.

You can access it on TV and mobile.

It includes an audio description in existing audio and has closed captions.

They will provide a certificate after you complete this course.

It also offers a responsive instructor for Q and A.


Who is this course for?

This course is prepared for anyone who wants to pass the AWS Certified Developer Associate Certification.

This course is also for developers who want to remain updated with the best practices on Serverless and SWS Cloud.

👍 Pros 👎 Cons

It has a 30-day money-back guarantee with no questions asked. The hands-on lectures are not very interactive.

This course is a one-time purchase, so you can access it for a lifetime It might move a little too fast, and the student might require to rewatch the videos.

It provides well-organized materials for Learning.

Verdict: It is a very well-organized course that helps beginners understand what to expect in the Ultimate AWS Certified Developer Associate 2023 exam and has proper numerous educational downloadable items.

AZ-900 Bootcamp Microsoft Azure Fundamentals is an updated course for its exam. This course includes all the latest AZ-900 exam topics and helps in understanding core products in Azure, its management tools, and much more.

It comes with 120 lectures, a 39-page companion guide, hands-on labs, etc. This certification course is created by Thomas Mitchell and labITout Learning. Thomas is a Cloud and Infrastructure Expert and a Published Author, and labITout Learning is known to help sharpen your IT skillset.

Key Topics:

AZ-900 Pre Assessment

Free Tools and Learning Aids

Basic Cloud Computing Concepts

Cloud Service Types

Core Architectural Components

Cloud Service Types

Core Azure Compute Services and Products


Get eight hours of on-demand video.

It includes 27 articles and quizzes at the end of each section.

You will receive 14 downloadable resources.

It is accessible from mobile and TV.

Receive a completion certificate.

It is a one-time purchase and has a 30-day money-back guarantee.


Who is this course for?

This course is for candidates who are preparing for the AZ-900 Azure Certification exam.

For individuals with no background or knowledge about Azure but are interested in learning and gaining this skill. It is also for individuals who have a technical background and desires to learn more about Microsoft Azure.

If you are in the field of selling and purchasing cloud-based services and solutions, you can take this course.

👍 Pros 👎 Cons

It includes 100s of online flashcards. A few of the slides seem to be missing.

You will also get a realistic exam simulator. Topics need to be more organized.

It has clearly explained terms and helpful visual aids.

Verdict: This course is built especially as a guide for students who are waiting to appear in AZ-900 Bootcamp Microsoft Azure Fundamentals with realistic test experience with a simulator.

Become a Cloud DevOps Engineer by Udacity is an intermediate cloud computing course. This course helps you with lessons on deploying and designing infrastructure as a code. You will also learn how to build and monitor CI/CD pipelines for various development plans and use Kubernetes to deploy scalable microservices.

This course is taught by four professionals. First, it is Kesha Wiliams, a software engineer at Chik-Fil-A who has 20 years of experience in software development. Then there is Carlos Riva, who is a senior solutions architect at Infinite Consulting, and Noah Gift, who is an expert in Machine Learning, Cloud Architecture, Data Science, etc. Finally, Brian Sommardahl is a chief technology officer and co-founder of an agile software development company called Acklen Avenue.

Key Topics:

Cloud foundations

Deploy a Static Website on Amazon Web Services

Learn Deploy Infrastructure as Code (IaC)

Deploy High Availability Web App Utilizing CloudFormation

Build CI/CD Pipelines, and Microservices at Scale

Operationalize (ML) Machine Learning Microservice API and Capstone Project


It comes with real-world projects from industry experts.

You will get on-demand help.

It lets you access GitHub portfolio reviews and LinkedIn profile optimization to help with your career.

You have the freedom to learn this course at your own pace.

Additional resources will be provided for improvement.


Who is this course for?

This course is for individuals with intermediate Java script knowledge and familiar with object-oriented programming.

It is also for individuals who have knowledge of the Linux command line and knows web development with CSS and HTML.

This course is for job applicants who want to gain skills like Amazon Web Services, Cloud solutions, and services, DevOps, become a certified cloud security professional, etc.

👍 Pros 👎 Cons

It has incredible learning curve.

Helps in building a good foundation for DevOps beginners. Doesn’t offer a certificate that you can add to your resume.

Each section of this course is well organized.

Verdict: This is a purely intermediate-level course that is built for candidates who are serious about applying for a Cloud DevOps engineer role, as it has an exceptional learning curve.

5) Understanding Edge Computing in Cloud Computing (LinkedIn Learning)

Understanding Edge Computing in Cloud Computing is one of the best cloud computing certifications that will help you in grasping the importance of edge computing. It will teach you how edge computing is responsible for reducing latencies in IoT devices like smartwatches, planes, homes, cars, etc.

The tutor of this course is David Linthicum, a well-known Cloud Computing AI and Cybersecurity Thought Leader, Serial CTO, Best Selling Author, and much more. He simplifies the concept of edge computing and helps you understand how edge systems are deployed, maintained, and designed.

Key Topics:

Introduction to Edge Computing

Edge Computing Basics

Components of Edge Computing

Edge Computing and Cloud Computing

Building Edge Computing Systems

The Future of Edge Computing


It includes six quizzes.

You can access this course from both phone and tablet.

It has a shareable certificate that you can download in a PDF format.

This certificate will display in your profile under learnings and certificates.

Access this learning for free for a month.


Who is this course for?

This course is made for students who desire to learn edge computing and understand it better.

It is for candidates who are looking to apply for a role in edge computing and cloud computing fields.

This course is available for everyone who wants to learn it and has a one-month free trial. However, to access other premium services, you must upgrade to a plan.

👍 Pros

👎 Cons

It starts from basics to help the student understand better. Premium services are available only in the paid version.

It is one of the best cloud certifications as its duration is less, so you can learn it within a short period. It needs to expand more in terms of topics.

Verdict: This course is built for learners with limited time looking to quickly understand Edge computing in short and gain a certificate.


The best cloud computing courses are “Google Cloud Fundamentals: Core Infrastructure” by Coursera. It is a decent duration program of 8 hours and also has an option for self-paced, it is a free course and is highly beginner friendly.

You can also choose “Understanding Edge Computing in Cloud Computing” by LinkedIn if you are looking for an intermediate level, it is a very short course of just 1 hour 48 minutes but is informative enough. However, if you want a more detailed course at an intermediate level, you can opt for “Become a Cloud DevOps Engineer” by Udacity, which is a course of four months.

Here are a few reasons why you should learn cloud computing:

Job opportunities: It opens several professional doors for an individual. Learning it helps in standing out among the other candidates as it is an in-demand skill.

High-paying skill: Cloud computing plays a vital role in numerous fields, as almost all well-known organizations use cloud computing. The applicants with this skill typically end up with large packages in various industries.

Helps developers: The developers can do a better job in their field by learning cloud computing as they use cloud technologies.

Below is a list of various job opportunities after completing the Cloud Computing certification:

Cloud administrator: In this role, the individual manages the organization’s cloud infrastructure and presence.

Cloud support engineer: These experts troubleshoot cloud technology-related issues and assist B2B clients.

Cloud security analyst: The cloud security analyst secures the company’s cloud environment.

Cloud software engineer: These engineers work with programmers and computer scientists to develop cloud applications.

Cloud network engineer: In this role, the individual is expected to create and maintain the company’s cloud services across the network.

Note: Apart from the ones above, numerous other roles are available in the cloud computing department.

Apart from the ones above, numerous other roles are available in the cloud computing department.


Employers look for certification, training, and experience as primary reasons in the candidate’s resume to hire them. Cloud Computing is an in-demand industry skill, so it is extremely necessary to have a certification in the experience section as a beginner to get into this field.

It also helps skilled individuals to brush up their skills and remain updated with the current trends to compete against other applicants.

Best Cloud Computing Certification Courses

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Cloud Computing Vs Grid Computing

Differences Between Cloud Computing vs Grid Computing

Mainly, both Cloud Computing and Grid Computing are used to process tasks. However, grid computing is used in cloud computing but not a cloud or part of it. They both involve massive computer infrastructures and managing them. Both Cloud Computing and Grid Computing concepts have been developed for distributed computing, that is, computing an element over a large area, literally on computers separated by some or the other means.

Hadoop, Data Science, Statistics & others

Head to Head Comparison Between Cloud Computing and Grid Computing (Infographics)

Below is the top 5 Comparison Between Cloud Computing and Grid Computing:

Key Differences Between Cloud Computing and Grid Computing

Though both Cloud Computing vs Grid Computing technologies is used for processing data, they have some significant differences, which are as follows:

Cloud computing delivers services like servers, storage, databases, networking, software, analytics, and the internet. Companies providing this service are cloud providers and charge you according to your usage. Grid computing, on the other hand, is distributed computing. There are different computers on the same network that share the same resources. Every resource is shared on a computer, making it a supercomputer. Authorized users need to process power, memory, and data storage; cloud computing leverages them for specific tasks.

Cloud computing has different services like IaaS, PaaS, and SaaS. These are Infrastructure, Platform, and Software. Through these services, the cloud provides servers and virtual machines (VMs), on-demand environments for development, testing, delivering, and managing software applications, and providing software applications over the Internet, on-demand, and typically on a subscription basis. It also has different deployments like public, private, and hybrid. These help in deploying resources publicly, privately, or both. Grid computing, on the other hand, has distributed computing and distributed pervasive systems. A distributed computing architecture consists of several client machines with very lightweight software agents installed with one or more dedicated distributed computing management servers. Pervasive computing uses embedded microprocessors in everyday objects, allowing them to communicate information. It helps to choose any device like kitchen appliances or any chip which could be embedded.

When cloud computing comes into the picture, only single ownership is used. Whereas a grid has many systems in a network, multiple people can have rights. Virtualization helps in providing cloud better security.

Grid computing is more economical. It splits the work and distributes it over the network on computers, increasing efficiency. Cloud computing is costlier and requires an initial setup. But it is faster and has quicker data restoration.

Comparison Table

Following are the lists of points that show the Comparisons Between Cloud Computing and Grid Computing:

Basis of comparison Cloud Computing Grid Computing

Definition and Basic Difference

Cloud computing uses remote servers hosted on the internet to store and manage data.

This data can be from any computer or server. Cloud helps a user to guarantee on-demand access to data on the cloud at any time.

Cloud computing defines a new class of computing based on network technology. It has integrated and networked hardware and software.

Grid computing incorporates systems in different locations through WAN

Types After its evolution, cloud computing deployments have been segregated into:

Public Clouds

Private Clouds

Community Clouds

Hybrid Clouds

Grid computing also has the following types:

Distributed Computing systems

Distributed Information systems

Distributed Pervasive Systems

Goals Cloud computing mainly focuses on reducing costs and increasing returns. It also has a goal of increasing scalability along with increased availability and reliability. Grid computing focuses on networks and hence has a large-scale goal. It focuses on resource sharing, pervasive, uniform, and reliable access to data, storage capacity, and computation power. It also focuses on delivering a computer as a utility.


1) Cloud can store large amounts of data along with storing it safely. Data stored in the cloud is highly secure and can be accessed whenever needed.

2) Cloud is easily accessible from any part of the world. You need to have internet connectivity

4) It is cost-efficient and has fast backup and data restoration. Also, it has automatic software updates.

1)Grid computing is useful in dealing with idle energy in computers. It is more efficient to put it into more sensible use.

2) It helps to save money when huge projects are involved. Grid computing helps in distributing and splitting up the work into multiple computers.

3)Whenever a failure occurs, it will not stop the work as other computers will pick up the work, making this system more reliable.

4) Space is saved, and access to additional resources is made possible.

User Management A centralized system can manage the entire cloud in this setup, or the management can be delegated to a third party. This setup decentralizes the management, incorporating virtual organization-based management.

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75 Open Source Cloud Computing Apps

In one recent survey, IT managers said that the most important project their teams are working on for 2023 is cloud computing. And IDC predicts that by 2023, the worldwide market for public cloud services will be worth more than $127 billion, accounting for “more than half of worldwide software, server and storage spending growth.”

The open source community is heavily involved in this cloud trend. Open source technologies provide the foundation for many public cloud services, and many enterprises are using these same technologies to build private clouds and hybrid clouds. In addition, many open source projects offer cloud-based software as a service (SaaS) versions of their applications.

This month, we’re updating Datamation’s list of open source cloud computing applications, which includes infrastructure as a service (IaaS), platform as a service (PaaS), SaaS and other cloud-related offerings. This year, we’ve added quite a few new projects, including many related to cloud infrastructure, cloud storage and containerization, which isn’t surprising given all the growth and interest in cloud technologies. However, it was somewhat more surprising to see that some of the projects with SaaS offerings on last year’s version of the list have stopped offering the cloud-based versions of their software. We’ll be watching to see if this trend continues.

1. CloudStack

Sponsored by the Apache Software Foundation, CloudStack describes itself as “open source software designed to deploy and manage large networks of virtual machines, as a highly available, highly scalable Infrastructure as a Service (IaaS) cloud computing platform.” Known users include Cloudera, Citrix Systems, China Telecom, Dell, Disney, Huawei, Nokia, SAP, Verizon and many other organizations. Operating System: OS Independent

2. Eucalyptus

Now part of the HP Helion ecosystem, Eucalyptus is a private cloud platform that is compatible with Amazon Web Services, which enables hybrid cloud computing. In addition to the free community version, it comes in paid standard and premium versions, and HP also offers a number of related services. Operating System: Linux

3. FOSS-Cloud

FOSS-Cloud is a comprehensive project which aims to allow organizations build their own private clouds. It is positioned as an alternative to Ctirix and VMware that can save organizations up to 40 percent. Operating System: Windows, Linux

4. ManageIQ

This cloud management solution is the open source project behind Red Hat CloudForms. It enables services like chargebacks, service orchestration, lifecycle management and automated workflows, as well as enabling hybrid cloud environments. Operating System: Linux, VMware

5. Mesos

Apache Mesos is a distributed systems kernel that abstracts computing resources away from physical or virtual machines, allowing users to treat their data centers like a single pool of resources. It’s often used with big data tools like Hadoop, and it also integrates with Docker. Operating System: Linux, OS X

6. OpenNebula

“Simple yet powerful,” OpenNebula is a turnkey solution for managing virtualized environments and creating private clouds. Paid support and services are available, and there is also a commercial arm of the project at Operating System: Linux

7. openQRM

Downloaded more than 370,000 times, openQRM enables end-user self-service for cloud provisioning and billing. It addition to the free open source version, it comes in paid SMB, Large, and Enterprise Editions. Operating System: Linux

8. OpenStack

Backed by organizations like Red Hat, SUSE, Rackspace, IBM, Intel, HP, Ubuntu and AT&T, OpenStack powers hundreds of public and private cloud computing environments. The website includes a marketplace for purchasing related products and services. Operating System: OS Independent

9. Scalr

Scalr aims to simplify the management, security and governance of multi-cloud environments while providing greater business agility for users. Well-known users include Expedia, Samsung, Disney, the NASA Jet Propulsion Laboratory, Sony and Accenture. Operating System: Linux

10. Synnefo

Financed by Greece and the European Union, Synnefo (which means “cloud” in Greek) is an open source cloud computing stack based on Google Ganeti, Archipelago and OpenStack APIs. A 1.0 version is still under development. Operating System: Linux

11. eyeOS

Later versions of this cloud desktop solution are closed source, but you can still access the earlier open source versions through the link above. It’s based on PHP and MySQL. Operating System: Linux

12. Oneye

Oneye is based on the open source code from eyeOS. It allows users to set up a cloud desktop on their own servers and access it from any device through a browser. Operating System: Linux

13. ownCloud

This mature cloud desktop project is now on version 8.0. Key features include federated sharing, favorites, metadata support, excellent search and more. Operating System: Windows, Linux

14. Appcelerator Titanium

The open source Titanium SDK allows developers to create cross-platform native, hybrid or mobile Web apps using JavaScript. Cloud-based services based on the SDK can be found at chúng tôi Operating System: Windows, Linux, OS X, iOS, Android

15. AppScale

Sponsored by Google, Ubuntu, Cloud Sherpas, Datastax, Canonical and Mirantis, AppScale allows users to set up their own platform as a service that runs Google App Engine apps while providing additional monitoring and backup tools. Many customers use it to set up hybrid cloud environments. Paid services are available. Operating System: Linux

16. Cloud Foundry

This open source PaaS solution has a huge roster of corporate backers that includes Pivotal, Cisco, Accenture, EMC, HP, IBM, Intel, SAP, Rackspace, VMware and even the Church of Jesus Christ of Latter-Day Saints. It has a very active development community with regular blog posts and training events. Operating System: Linux

17. OpenShift

OpenShift is Red Hat’s open source hybrid cloud computing platform. In addition to “Origin,” the free community version, it also comes in paid online and enterprise versions. Operating System: Linux

18. Cloud9 IDE

Cloud9 is both a cloud-based Ubuntu desktop and a browser-based IDE. You can sign up to use a free or paid version of the service at the link above, or you can set up your own cloud-based IDE using the source code from GitHub. Operating System: OS Independent

19. Desein

This Dell-sponsored project provides “a Java-based cloud abstraction layer” that makes it possible for developers to write an application once and then run it on any cloud computing service. It’s pronounced “da z-eye-n.” Operating System: Linux

20. Dirigible

Owned by SAP, Dirigible is an integrated development environment as a service (IDEaaS) that promises to help developers “enjoy programming like never before.” It’s still in beta trials, and you can register to use it for free from the link above. The source code is on GitHub. Operating System: OS Independent

21. Falcon

Falcon describes itself as a “very fast, minimalist Python framework for building cloud APIs and app backends.” The website includes some impressive benchmark numbers. Operating System: Windows, Linux, OS X

22. PredictionIO

This open source machine learning server promises to allow developers to “build and deploy machine intelligence in a fraction of the time.” It’s based on other projects like Apache Spark, Hbase and Spray. Enterprise support is available. Operating System: Linux

23. Roboconf

This tool makes it easier to deploy applications to the cloud or other distributed computing environments. It supports many public cloud services, including AWS, Microsoft and Vmware, as well as most private cloud environments. Operating System: OS Independent

24. Amanda

The Advanced Maryland Automatic Network Disk Archiver, or Amanda, claims to be the “most popular open source backup and recovery software in the world.” It is now owned by the well-known cloud backup service Carbonite and provides the underlying technology for the Carbonite service. Operating System: Windows

25. Bacula

Bacula also claims the “most popular open source backup program” title. It’s a network-based solution for larger organizations. A supported enterprise edition and “Bacula for the Cloud” are available throughBacula Systems. Operating System: Windows, Linux, OS X

26. Duplicati

This backup client automatically stores backups on a cloud computing service. It works with AWS, Microsoft OneDrive, Google Drive, Rackspace and private clouds. AES-256 encryption is built-in, and archived files can also be signed with Gnu Privacy Guard. Operating System: Windows, Linux

27. Ceph

Ceph offers both object and block storage, as well as a POSIX-compliant file system for distributed storage. The project is now managed by Red Hat, which sells Ceph-based products. Operating System: Linux

28. CloudStore

CloudStore offers synchronization capabilities similar to Dropbox. It allows users to set up a personal cloud storage service on their own servers, and it is highly secure. (Note that this project is not related to the UK government initiative with the same name.) Operating System: Linux

29. Gluster

Managed by Red Hat, Gluster is an open source, distributed filesystem designed to handle petabytes (or even brontobytes) of data. It boasts high scalability, performance and availability. Paid support and consulting are available through third-party partners. Operating System: Linux

30. Riak CS

Riak is a distributed database with low latency, high availability, fault tolerance and high scalability. Riak CS is a cloud storage solution built on top of this database. It comes in both community and enterprise versions. Operating System: Linux, OS X

31. Seafile

Seafile provides cloud storage with file syncing and team collaboration capabilities. There’s a cloud-based version at chúng tôi or you can host the open source or professional edition on your own Linux server. Operating System: OS Independent

32. Sheepdog

Designed for simplicity, Sheepdog is another option for distributed object storage. It can scale to several hundred nodes. Operating System: OS Independent

33. Syncany

This open source cloud storage and synchronization tool allows users to make backups and share files with others. All files are encrypted before uploading for privacy protection. Operating System: Windows, Linux, OS X

34. Docker

Although it’s a fairly young technology, Docker’s containerization is already getting a lot of attention from industry analysts and enterprises. It describes itself as “an open platform for developers and sysadmins to build, ship, and run distributed applications.” Operating System: Windows, Linux, OS X

35. Linux Containers

This group oversees three separate containerization-related projects: LXC, a set of tools for containerization; LXD, a descendant of LXC which provides a more intuitive user experience; CG Manager container group manager daemon and the LXCFS filesystem. Its stated goal is “to offer a distro- and vendor-neutral environment for the development of Linux container technologies. Operating System: Linux

36. OpenVZ

While it’s not nearly as well-known as Docker, OpenVZ also offers open source containerization technology. It provides the basis for a commercial product called Odin Virtuozzo. Operating System: Linux

37. KVM

Short for Kernel-based Virtual Machine, KVM is a complete Linux virtualization solution for x86 hardware. It is part of the mainline Linux kernel. Operating System: Linux

38. Xen

The Xen Project website describes it as an “open source hypervisor designed for clouds.” It provides the foundation for some of the biggest clouds in the world, including Amazon Elastic Compute Cloud (EC2). Operating System: OS Independent

39. Hadoop

Hadoop is so widely used that it has become more or less synonymous with big data. It’s a collection of data processing tools that can be used in distributed computing environments, including cloud computing environments. Operating System: Windows, Linux, OS X

40. Jaspersoft

Jaspersoft offers award-winning open source business intelligence and analytics capabilities. In addition to the free community download, it comes in a variety of paid editions, and it is also available as a cloud computing service that runs on AWS with prices starting at less than $1 per hour. Operating System: OS Independent

41. Jedox

With more than 100,000 users, Jedox (formerly known as Palo BI) is a very popular business intelligence platform. The base version is free and open source, and the organization also offers a premium on-premise version and a cloud version. Operating System: OS Independent

42. ProcessMaker

Used by companies like Toyota, GTBank and Lenovo, ProcessMaker aims to simplify BPM and workflow automation. In addition to the free community edition and a paid on-premise enterprise edition, it also comes in a cloud version. Operating System: Windows, Linux, Android, iOS

43. Alfresco

Alfresco offers enterprise-class content management, and the paid versions of the software also include business process management capabilities. It comes in an online version and a hybrid cloud version, as well as the free community version. Operating System: Windows, Linux, OS X

44. SugarCRM

Boasting millions of users, SugarCRM is a high-quality enterprise-ready CRM solution that rivals or exceeds the capabilities of proprietary solutions. The community version is available as a free download, or you can subscribe to the professional, enterprise or ultimate cloud-based versions, with prices starting at $40 per user per month. Operating System: Windows, Linux, OS X

45. vTiger

Used by more than 100,000 businesses, vTiger promises to help companies “get organized, grow sales, improve marketing ROI and deliver delightful customer experiences.” In addition to the free community version, it comes in three cloud versions—sales, support and ultimate—and other services are available as well. Prices start at $10 per user per month. Operating System: Windows, Linux, iOS, Android

46. Orange Leap

Aimed at non-profits, Orange Leap offers constituent relationship management capabilities with an emphasis on fundraising. The link above will connect you with the paid, cloud-based version; the open source code can be found at GitHub. Operating System: Windows

47. SplendidCRM

This CRM solution comes in three different versions—community, professional and enterprise—all of which can be deployed on-premise or used in the cloud. The latest versions add new features like a chat system, native mobile apps, data de-duplication, a report designer and integrations with third partner email marketing and automation solutions like HubSpot, ConstantContact and iContact. Operating System: Windows

48. OpenKM

The KM in OpenKM stands for “knowledge management.” It’s a Web-based document management system with integrated collaboration capabilities and features like version control, file history, metadata, workflow and search. community, professional and cloud versions are available, and the organization also offers paid training. Operating System: OS Independent

49. LogicalDOC

LogicalDOC aims to make deploying a DMS easy and affordable. It’s available as a free download or as a cloud-based service with mobile clients available. Operating System: OS Independent

50. OpenDocMan

This web-based document management solution complies with ISO 17025 and OIE standards. It comes in free and paid versions, and while the company no longer offers a hosted cloud version itself, there is an easy link for setting it up on RackSpace’s cloud. Operating System: OS Independent

51. Collabtive

Very similar to Basecamp, Collabtive is a Web-based project management solution that tracks projects, milestones and tasks. Users can download the open source software and deploy it on their own Web server or use the paid SaaS version. Operating System: OS Independent

52. Group-Office

Group-Office combines enterprise-class groupware with some CRM functionality, and it can be deployed on-premise or used in the cloud. All basic groupware functions are included in the open source community version; the paid professional version adds helpdesk, time track, mobile sync, project management and document editing with billing and document search available for a separate fee. Operating System: OS Independent

53. Zimbra

With more than 500 million users, Zimbra is a very popular alternative to Microsoft Exchange and Outlook. In addition to the free open source version, it comes in a variety of paid versions that can be deployed in a private cloud or hosted with one of Zimbra’s third-party partners. Operating System: Linux, Unix, OS X


Designed for organizations of all sizes, chúng tôi aims to “helps teams to communicate faster and build collaborative knowledge by sharing and discussing various forms of digital content within a secure, unified application.” It’s available in a free community edition, in an on-demand SaaS version or an on-premise appliance version. Operating System: Windows, Linux, OS X

55. EGroupware

EGroupware combines file server, document management, email, CRM, data exchange, service management, project management and event management capabilities. The community version is free, while the cloud and on-premise installation packages require a fee. Operating System: OS Independent

56. Feng Office

Feng Office boasts more than 2 million users in 150 countries and prides itself on being very easy to use. You can deploy the community or professional version on your own servers or use Feng Sky, the cloud-based version. Operating System: Windows, Linux, OS X

57. OnlyOffice

Formerly known as TeamLab, OnlyOffice combines email with Microsoft-compatible document editing, CRM and project management. It comes in a free self-hosted version or a cloud-based subscription version, and non-profits can get the cloud version for free if they are willing to put a banner on their websites. Operating System: OS Independent

58. OpenEMM

Downloaded more than a half million times, OpenEMM offers email marketing and marketing automation capabilities and counts IBM, Daimler, Siemens and Deutsche Telekom among its users. Commercial services and a hosted version are available through Agnitas. Operating System: Windows, Linux

59. phpList

This open source email marketing solution aims to be very affordable, offering a cloud-based plan that starts at just $1. It’s a very mature project that has been under development since 2000. Operating System: OS Independent

60. Dolibarr ERP/CRM

This ERP and CRM solution was designed for small companies, foundations and freelancers. In addition to the free download, it also comes in a cloud-ready version with several third-party partners offering paid hosting. Operating System: OS Independent

61. Odoo

Odoo is a collection of more than 4,500 integrated apps for managing websites, increasing sales, improving marketing, boosting productivity, running a business and delighting employees. You can download the apps for free or purchase on a SaaS basis. Operating System: Windows, Linux

62. Openbravo

This award-winning project includes a commerce suite and a business suite. In addition to the free community version it comes in paid enterprise or professional versions which can be deployed on-premise or in the cloud. Operating System: OS Independent

63. xTuple PostBooks

XTuple claims to be the “world’s #1 open source ERP.” It comes in a free PostBooks Edition or paid Distribution, Manufacturing and Enterprise editions, all of which can be deployed on premise or used in the cloud. Operating System: Windows, Linux, OS X

64. Compiere

Owned by a company called Aptean, Compiere is a full-featured ERP solution that comes in a free community edition or a paid enterprise edition. Aptean also offers a cloud version that runs on Amazon Web Services. Operating System: Windows, Linux, OS X

65. opentaps

66. OrangeHRM

With customers like Lufthansa, Sandals, Red Hat and Stanley Black & Decker, OrangeHRM boasts that it is “the world’s most popular HR software.” It is available in open source, professional and enterprise versions, as well as a cloud-based Live version. Operating System: Windows, Linux, OS X

67. WaypointHR

68. SimpleInvoices

A good option for individuals, small businesses, clubs and other small groups, SimpleInvoices does nothing but send invoices. You can host it on your own server for free or subscribe to a hosted service available from one of the third-party service providers. Operating System: OS Independent

69. Onepoint Project

This tool unites project management and project portfolio management in a single package. It comes in two free and four paid editions, including group and enterprise versions that are available on an SaaS basis. Operating System: Windows, Linux, OS X

70. TimeTrex

This time tracking solution includes modules for scheduling, attendance, payroll, and HR, with the paid versions adding job costing, document management, invoice, expense tracking and recruitment. It’s available in community (free), professional, corporate, or enterprise editions, and all the versions, including the free open source version, are available both in the cloud or on-premise. Operating System: Windows, Linux, OS X

71. allows users to gather data from the environment, automate tasks and store data in the cloud. The APIs are free and open source; the service comes in both free and paid versions. Operating System: Linux

72. OpenHAB

OpenHAB describes itself as “a vendor- and technology-agnostic open source automation software for your home.” It aims to allow users to control a variety of different IoT devices from a single solution. Operating System: Windows, Linux, OS X

73. OpenIoT

OpenIoT is middleware for interacting with a cloud of sensors. It has won awards and is sponsored by several European universities. Operating System: Linux

74. OpenPicus

OpenPicus offers both hardware and software for IoT development. Its free libraries allow users to connect to any cloud computing service. Operating System: Windows

75. Particle

Formerly known as Spark, Particle is “a suite of hardware and software tools to help you prototype, scale and manage your Internet of Things products.” A variety of hardware and software tools are available for purchase from the site, including the company’s cloud platform for managing your data. Open source code is available through GitHubOperating System: OS Independent

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Most Frequently Asked Cloud Computing Interview Questions

This article was published as a part of the Data Science Blogathon.


The cloud comprises servers and a mix of networks, storage, service, and hardware, allowing businesses to save money and provide consumers with ease. Cloud is a collection of servers that can be accessed over the Internet, and all data is saved on physical servers in data centers. Through cloud computing, we may access actual servers and execute apps written in computer code on their devices. It enables users to access computer services from any device since processing and storage are performed on servers distributed across a knowledge Centre rather than locally on the user’s device. Email, online conferencing, and customer relationship management (CRM) are cloud-based applications.

Cloud Computing is the remote manipulation, configuration, and use of hardware and software resources. It provides data storage, infrastructure, and application services online. As software is not required to be installed locally on the PC, cloud computing provides platform independence. Cloud computing, therefore, makes our business applications mobile and collaborative.

In comparison to traditional on-premises IT, cloud computing may assist with the following tasks, depending on the cloud services you choose:

Reduced IT costs: You may offload part or all of the expenses and work associated with acquiring, installing, configuring, and administering your on-premises infrastructure by using the cloud.

Increase agility and time-to-value: Instead of waiting weeks or months for IT to reply to a request, acquire and set up necessary gear, and install software, your business can start using enterprise apps in minutes using the cloud. You may also enable particular users, such as developers and data scientists, to help themselves to software and support infrastructure through the cloud.

Scale more easily and affordably: The cloud enables elasticity—rather than acquiring additional capacity that sits idle during quiet times, you may scale capacity up and down in response to traffic spikes and dips. You may also leverage your cloud provider’s worldwide network to bring your apps closer to people all around the globe.

Features of Cloud Computing

Major benefits can be gained by using cloud computing. Here are a few examples:

The installation of software is not required to access or operate cloud apps.

Cloud computing provides online development and deployment tools and a programming runtime environment through the PaaS concept.

Over the Internet, apps may be accessed as utilities.

The applications may be manipulated and configured online at any moment.

Cloud resources are available over the network platform independently for all client types.

Cloud Computing provides self-service on demand. The resources can be used independently of the cloud service provider.

Cloud Computing is extremely cost-effective due to its great operational efficiency and optimal use. It merely requires an Internet connection.

Cloud Computing provides load balancing, which increases its reliability.

Cloud Computing Interview Questions 1. What are the various deployment modes available on the Cloud?

The four modes are private, public, hybrid, and community cloud.

Public – A public cloud is freely available to all users. Example: AWS Cloud Connect

Private – Private cloud is the aggregation of resources private organizations use for their purposes.

The community cloud enables multiple organizations within a group to access shared information, computing services, and systems.

Hybrid Cloud – The hybrid cloud combines private and public clouds that may shift from one to the other based on the circumstances and needs.

2. What is your understanding of the multi-cloud strategy?

The approach is not relying only on a single cloud service provider and distributes traffic among many cloud service providers. Different cloud providers may be exploited for their unique features, hence decreasing the workload of a single provider. This increases independence and reduces the chance of failure if the provider has technical difficulties or a traffic overload arises. Multi-cloud is a design used to administer the various cloud architecture from a single access point (portal). It may be as basic as a portal to oversee the functioning of all clouds.

3. What is the function of a hypervisor in Cloud Computing?

It is a virtual machine screen that can manage virtual machine resources logically. It allocates, splits, isolates, or modifies the virtualization hypervisor software. Hardware hypervisor enables concurrent operation of many guests operating systems on a single host machine.

Virtual Machine Manager is another name for it. Two kinds of hypervisors are described below:

Type 1: The guest Vm operates directly on the host hardware, like Citrix XenServer and VMware ESXi.

Type 2: The guest Vm operates on hardware through a host operating system, like Oracle Virtual Box or Vmware Player.

4. Why are hybrid clouds so essential?

Cloud Bursting:

The public cloud provides access capacity and specialized software, but not the private cloud.

Examples: Virtual Amazon and Dynamo


It is a cloud from VMware.

It is a costly item.

It provides enterprise quality.


It is less trustworthy.

OpenStack supports web server operation.

The database is constructed on vCloud.

Complete defense against DDoS attacks: Distributed Denial of Service attacks has grown widespread and are now targeting cloud-based company data. Therefore, cloud computing security restricts traffic to the server, preventing threats to the organization and its data. Data Security: Data breaches become a serious concern as data grows and servers become soft targets. The cloud data security solution safeguards critical information and protects the data against unauthorized access.

Flexibility: Cloud provides flexibility, which contributes to its widespread use. The user can prevent server failure in the event of heavy traffic. When peak traffic has subsided, the user may cut down to save expenses.

The application server used for identity management is authorized by cloud computing. It allows users to manage the access of another user accessing the cloud environment.

6. What exactly is a cloud VPN?

Cloud VPN enables businesses to migrate their VPN services to the cloud. Available VPN services include Remote Access and Site-to-Site chúng tôi equipment is installed locally in the business network in a Site-to-Site connection. This equipment connects to a cloud-based virtual VPN endpoint. The VPN creates a tunnel between the cloud and the organization. This connection is similar to a physical connection and does not need a public IP address.

Remote Access allows users to connect to equipment in other parts of the world. For instance, VPNaaS.

In the connection logic, users install VPN software on their devices and establish a connection to a cloud VPN. The cloud VPN forwards the connection to the concerned SaaS application.

7. What is the distinction between mobile computing and cloud computing?

Cloud Computing involves storing your files and folders on the Internet’s “cloud.” This will enable you to access your files and folders from anywhere globally; however, you will need a device with Internet connectivity. Mobile computing entails taking a physical device, like a laptop, mobile phone, or other devices. Mobile computing and cloud computing are comparable, and mobile computing employs the cloud computing paradigm. Cloud computing provides consumers with the necessary data. In contrast, mobile computing apps operate on a remote server and allow users access to data storage and management.

8. Mention the basic AWS elements.

The basic AWS elements are as follows:

AWS Route 53 is a DNS (Domain Name Server) web-based service infrastructure.

Simple Email Service: Emails are sent via a RESTFUL API call or conventional SMTP (Simple Mail Transfer Protocol).

Identity and Access Management: An AWS account is supplied with enhanced security and identity management.

Simple Storage Service (S3): It is a massive storage media used extensively by AWS services.

Elastic Block Stores (EBS): They are storage volumes connected to EC2 that extend the data retention period of a single EC2 instance.

CloudWatch: It is a service offered by Amazon. CloudWatch monitors AWS resources and enables managers to observe and obtain the necessary keys. Access is granted so that a notification alert may be triggered in the event of a problem.

9. How is Data protection accomplished in S3?

S3 supports encryption using SSE-S3, SSE-C, and SSE-KMS.

SSE-S3 provides the solution S3 monitors Key management and protection via several security levels.

SSE-C enables S3 to encrypt and decrypt data and manage the encryption key. AWS does not provide key management and storage since they are implementation-dependent.

SSE-KMS uses the Amazon Key Management Service to store encryption keys. By retaining master keys, KMS adds an extra degree of protection. There is a need for special authorization to use the master key.

10. What differences exist between ELB, NLB, and ALB?

Application Load Balancer (ALB) – ALB enables port-based routing. Additionally, it may direct requests to Lambda and multiple ports on the target. Application Load Balancer only supports layer 7, which includes HTTP/2 and Web Sockets. It may return main replies independently, freeing the server from responding to duplicate requests. Microservices and applications use ALB. Network Load Balancer (NLB) –It supports Layer 4, which includes TCP and UDP. Since it is lower on the OSI model, it is more efficient and high-performance. It uses static IP addresses and may be allocated elastic IP addresses. Real-time data streaming and video streaming are examples.

Classic Load Balancer (CLB) or Elastic Load Balancer (ELB version1) – ELB is the oldest Load balancer and the only one that supports application-specific sticky session cookies. It works on both Layer 7 and Layer 4. ELB supports EC2-Classic as well.


This article describes cloud and cloud computing, which is an on-demand availability of computer system resources that uses clouds to provide services when the user wants them and provides access to a broader network of worldwide web servers. This page provides interview questions for all levels and covers the following areas as well:

What are cloud computing and the cloud?

There are several deployment options available in the cloud.

Advantages of cloud computing for data protection and security

The contrast between mobile computing and cloud computing, as well as other areas.

The media shown in this article is not owned by Analytics Vidhya and is used at the Author’s discretion.


Cloud Computing In Natural Hazard Modelling Systems

Natural hazard modelling techniques can be used to more accurately anticipate and prepare for natural disasters like cyclones, earthquakes, floods, and landslides. These instruments can offer crucial information to first responders and legislators during a disaster. Natural hazard modelling systems still need a lot of storage and processing power, which can be problematic for organizations with a restricted budget or available space.

Cloud computing is a great way to simulate complicated models because it can be extended and changed, and cloud computing is a workable answer to this problem. In this essay, we’ll talk about Cloud Computing in natural hazard modelling systems.

Cloud Computing Overview

The three main categories of cloud computing services are infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). IaaS offers shared access to various processors, storage, and network tools, making it easier for people to develop and manage their apps.

There are many ways to use these resources. There is already an operating system, a language, and tools for making things available. A website offers its readers this material as a service. The apps that end users can access must be stored and maintained by the service provider.

Natural Hazard Modeling Systems

Environmental hazard modelling techniques enable us to foresee the effects of natural disasters and take precautions. These systems predict the behaviour of natural events like cyclones, tremors, floods, and collapses using intricate computational processes and modelling models. Tools for modelling natural hazards help emergency personnel, lawmakers and other interested parties decide how to prepare for and respond to natural disasters.

The Challenge of Running Natural Hazard Modeling Systems

Gadgets that imitate natural dangers need a lot of memory and processing power, and these systems frequently have significant data handling and big datasets. Systems for modelling natural hazards must be able to run simulations quickly while keeping a high level of accuracy to deliver precise data on the likelihood of natural disasters when needed. For organizations with limited means, this might be challenging.

Cloud Computing and Natural Hazard Modeling Systems

Hazard modelling systems may benefit from using cloud computing to address real problems. Thanks to cloud computing, businesses and other organizations can use various flexible and changeable numerical tools on demand. As a result, complex models and models can be executed more quickly. Natural hazard modelling systems operate more affordably thanks to cloud computing because businesses only pay for the resources they use.

Benefits of Cloud Computing in Natural Hazard Modelling Systems Scalability

Scalability is one of the benefits of using cloud computing to model environmental disasters. Businesses using cloud computing to meet their specific needs can quickly and easily change the size and number of working tools. This implies that businesses can increase their working capability during periods of high demand, such as those following a natural disaster, and reduce it during periods of low demand. This ensures that companies have the resources to complete complex model tasks quickly and successfully.


The versatility of systems that prepare for natural disasters is increased by using cloud computing. Companies can use cloud computing to choose the computational power they need to accomplish their goals. This enables businesses to decide what computing equipment and data storage to run their systems for efficiently modelling environmental hazards. Cloud computing improves efficiency overall and decreases downtime, and allows companies to decide where to locate their work equipment.

Cost Savings

Cloud computing can also reduce the cost of running natural hazard modelling systems. Traditional on-premises computing requires organizations to purchase and maintain their own hardware and software infrastructure, which can be expensive.

Challenges of Cloud Computing in Natural Hazard Modeling Systems

While there are many benefits to using cloud computing for natural hazard modelling systems, there are also some risks to be aware of. Here are some examples of this kind of problem −


Security is one of the most important problems that cloud computing must handle. Because cloud computing requires giving up data control to outside providers, some businesses might be suspicious of it. Because cloud computing services are so extensively used, hackers and data breaches are more likely to happen, which is another possible problem. Due to these aspects, businesses must confirm that the cloud computing service providers they use take the appropriate security measures to safeguard their customers’ data.

Data Sovereignty

A problem with cloud computing is figuring out who controls the info. The phrase “data sovereignty” refers to the responsibilities of governments and the judicial system when managing and storing data. Legislation may require businesses to keep data in their home country or within a particular country’s borders. Due to the design of cloud storage, some businesses may find it difficult to adhere to data security laws.

Vendor Lock-In

Last, some clients might complain about being restricted to a single cloud service provider. A corporation is “tied in” to a particular cloud computing service supplier if no other source can meet the organization’s processing needs. Because of this, it is challenging for companies to switch to a different seller if they are unhappy with the service or if the company decides to raise prices. By carefully considering their cloud computing options and choosing a service provider that provides independence and scope, businesses can lessen their vulnerability to this risk.


cloud computing offers many benefits for natural hazard modelling systems. Businesses and organizations can obtain scalable and flexible processing tools through cloud computing. They can handle intricate models and circumstances more quickly and successfully.

Breaking Down Barriers: The Power Of Network Virtualization In Cloud Computing


In the ever-evolving world of cloud computing, network virtualization has emerged as a powerful solution to optimize resource management and streamline operations. By consolidating multiple physical networks into virtual ones, businesses can achieve unparalleled flexibility, scalability, and enhanced security.

If you’re eager to learn about how network virtualization in cloud computing can revolutionize your IT infrastructure and empower your organization’s growth, then this article is for you.

Key Takeaways

Network virtualization in cloud computing allows for the consolidation of multiple physical networks into a single virtual network, enabling organizations to achieve unparalleled flexibility, scalability, and enhanced security.

The benefits of network virtualization include increased flexibility and scalability, improved resource management, and enhanced network security.

To implement network virtualization successfully, careful planning is required which includes understanding the existing network architecture, choosing a suitable virtualization technology that supports software-defined networking (SDN), creating policies that define how different types of traffic will be handled within the environment, implementing NFV technologies such as load balancers or firewalls within the environment while ensuring hardware compatibility. Lastly monitoring performance metrics regularly and testing all components for proper functioning is critical.

Defining Network Virtualization in Cloud Computing

Network virtualization in cloud computing is the process of creating multiple virtual networks by consolidating physical networks, which involves producing new rules for how network services are delivered, including software-defined data centers.

Understanding the Concept

Network virtualization in cloud computing refers to the process of combining various physical network resources, such as switches, routers, and servers, into a single virtual network.

This allows organizations to simplify their network infrastructure and better allocate resources by creating multiple secure connections over a single physical structure.

For example, let’s say an organization has multiple data centers spread across different locations worldwide. Traditional networking techniques would require each data center to have its own dedicated hardware components and configurations, leading to increased complexity and resource management challenges.

Key Reasons for Virtualization

One of the key reasons for virtualization in cloud computing is to create a more efficient and scalable infrastructure. By consolidating multiple physical networks into virtual networks, organizations can better manage network resources and avoid hardware costs associated with traditional networking.

Moreover, virtualization enables the creation of sandboxed environments that are isolated from other parts of the network, enhancing security and reducing potential vulnerabilities.

Through this process, software-defined data centers (SDDCs) can be created to automate resource allocation, streamline network management tasks, improve performance and reduce downtime.

Benefits of Network Virtualization in Cloud Computing

Network virtualization in cloud computing offers many benefits, including increased flexibility and scalability, improved resource management, and enhanced network security.

Increased Flexibility and Scalability

One of the key benefits of network virtualization in cloud computing is increased flexibility and scalability.

For example, a company might need to quickly spin up additional servers during peak usage times without having to physically add more hardware. They can accomplish this by simply allocating additional resources from their existing pool through virtualization.

Moreover, with network virtualization, an organization is not limited by physical infrastructure constraints. They can create as many virtual networks as needed without worrying about running out of available IP addresses or dealing with complex routing configurations.

Improved Resource Management

One major benefit of network virtualization in cloud computing is improved resource management. With network virtualization, resources can be pooled together and allocated more efficiently.

This allows for better utilization of hardware, reducing the need for physical devices and lowering costs.

For example, if a company needs additional bandwidth for a particular project, they can quickly allocate extra resources to that project using network virtualization.

Enhanced Network Security

One of the key benefits of network virtualization in cloud computing is enhanced network security. Virtual networks can be isolated and segmented to prevent unauthorized access, reducing the risk of data breaches.

Network virtualization allows for granular control over network traffic, enabling administrators to monitor and enforce policies at a more detailed level. For example, they can restrict access based on user identity or device type, limiting exposure to potential threats.

However, it’s important to note that network virtualization alone does not guarantee complete security – there are still risks associated with human error and malicious attacks.

Implementing Network Virtualization in Cloud Computing

To implement network virtualization in cloud computing, several steps must be taken, including careful planning and consideration of hardware requirements. However, the benefits of increased flexibility and improved resource management make it a valuable investment for any organization looking to optimize their cloud infrastructure.

Steps to Implement

To implement network virtualization in cloud computing, one can follow these steps −

Understand the existing network architecture − Before implementing network virtualization, it is essential to understand the current physical network architecture and identify potential areas for consolidation.

Choose a Virtualization Technology − Look for a virtualization technology that supports software-defined networking (SDN) and offers features such as traffic isolation, tenant segmentation, and policy-based control.

Define Network Policies − Create policies that define how different types of network traffic will be handled within the virtualized environment. For example, you could create a policy that prioritizes voice traffic over other types of data traffic.

Implement Virtual Switches − Install and configure virtual switches on the hypervisor layer to enable communication between virtual machines (VMs).

Configure Network Functions Virtualization (NFV) − Implement NFV technologies such as load balancers or firewalls within the virtualized environment.

Monitor Performance − Regularly monitor performance metrics to ensure that the new network infrastructure is functioning correctly and efficiently.

Test and Verify − Test all components of the newly-virtualized network to ensure that they are functioning as intended.

By following these steps, organizations can successfully implement network virtualization in their cloud computing infrastructure, leading to improved scalability, flexibility, resource utilization, and security.


When implementing network virtualization in cloud computing, there are several considerations that organizations should keep in mind. One important consideration is the type of virtualization to be used, as different types have varying levels of complexity and suitability for specific use cases.

Another important consideration is hardware requirements. Organizations must ensure that their hardware can support the additional workload created by network virtualization.

Finally, security should also be a top consideration when implementing network virtualization in cloud computing. While this technology offers many benefits such as improved flexibility and scalability, it also brings new security challenges such as potential data breaches or unauthorized access to sensitive information on shared networks.

In summary, when implementing network virtualization in cloud computing, considerations include choosing the right type of virtualization based on organizational needs and complexity level; ensuring sufficient hardware capacity; and implementing proper security measures to mitigate potential risks associated with this technology.


In conclusion, network virtualization is an essential component of cloud computing that enables organizations to create multiple virtual networks from a single physical infrastructure.

This technology offers many benefits, including improved flexibility and scalability as well as enhanced resource management and network security.

It is important to note that the implementation of network virtualization requires careful consideration of various factors such as hardware compatibility, hypervisor selection, and security concerns.

Overall, it is clear that network virtualization plays a critical role in the success of cloud computing by providing the necessary abstraction layer between physical networks and software-defined data centres.

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