Top 10 Cloud Computing Platforms

What is Cloud Computing?

Cloud computing stores and accesses data and programs over the internet instead of hard drives, physical servers, or personal computers. In its simplest terms, cloud computing uses a network of remote servers to store, manage, and process data instead of relying on local storage devices like hard drives. A cloud is essentially a group of servers that are accessible online to store and share information.

Cloud computing is used by individuals and businesses alike to store their data remotely and access it from any computer or device with an internet connection. For example, with cloud computing, you can send files back and forth while working with colleagues, access your photos on your phone or computer, or even use programs like Google Docs or Microsoft Word. Using the cloud means that the servers you’re using are not located in the exact physical location as you are; they’re accessible via the internet, making them more accessible and secure. Also, you can store your data and backup essential files in case of a disaster.

Cloud Computing Platform

The operating system and hardware of a server in an Internet-based data center are referred to as a cloud platform. It enables remote and large-scale coexistence of software and hardware devices. The distribution of various services through the Internet is what a cloud computing platform is. This is a common definition of a cloud computing platform. These resources include data storage, servers, databases, networking, and software, among other tools and applications. 

Cloud-based storage allows you to store files in a distant database rather than maintaining them on a proprietary hard drive or local storage device. As long as an electronic device has internet connectivity, it has access to the data as well as the software applications needed to run it. People and businesses are increasingly turning to cloud computing platforms for a variety of reasons, including cost savings, enhanced productivity, speed and efficiency, performance, and security.

Some popular cloud computing platforms include:

  1. Amazon Web Services (AWS)
  2. Microsoft Azure
  3. Google Cloud Platform (GCP)
  4. Alibaba Cloud
  5. IBM Cloud
  6. Oracle Cloud
  7. Salesforce
  8. VMware Cloud
  9. Tencent Cloud
  10. DigitalOcean

1. Amazon Web Services (AWS):

AWS is a comprehensive cloud platform offered by Amazon. It provides a wide range of services, including computing power, storage, databases, networking, machine learning, and analytics.

Key features:

  • Compute Services: AWS provides a range of computing services, including Amazon Elastic Compute Cloud (EC2) for scalable virtual servers, AWS Lambda for serverless computing, and AWS Batch for batch computing workloads.
  • Storage Services: AWS offers multiple storage services, such as Amazon Simple Storage Service (S3) for object storage, Amazon Elastic Block Store (EBS) for block-level storage volumes, and Amazon Glacier for long-term data archival.
  • Database Services: AWS provides a variety of database services, including Amazon Relational Database Service (RDS) for managed relational databases, Amazon DynamoDB for NoSQL databases, and Amazon Redshift for data warehousing.

2. Microsoft Azure:

Azure is Microsoft’s cloud platform that offers a broad set of services for building, deploying, and managing applications and services. It includes capabilities for virtual machines, storage, databases, AI, analytics, and more.

Key features:

  • Virtual Machines: Azure provides virtual machines (VMs) that offer scalable computing power, allowing users to run a wide range of operating systems and applications in the cloud.
  • Azure App Service: This feature allows users to build, deploy, and scale web and mobile applications easily. It supports multiple programming languages and frameworks.
  • Azure Functions: Azure Functions enables serverless computing, allowing users to run code without managing infrastructure. It automatically scales based on demand and charges only for the actual execution time.

3. Google Cloud Platform (GCP):

GCP is Google’s cloud computing platform that offers a suite of cloud services, including computing, storage, databases, machine learning, and data analytics. It also provides tools for big data processing and IoT applications.

Key features:

  • Compute Engine: Compute Engine provides virtual machines (VMs) with flexible configurations and high-performance computing options. Users can choose from predefined machine types or create custom machine types.
  • App Engine: App Engine is a fully managed platform that allows developers to build and deploy scalable web applications and APIs. It automatically scales applications based on demand and handles infrastructure management.
  • Kubernetes Engine: Kubernetes Engine is a managed container orchestration service based on Kubernetes. It simplifies the deployment, management, and scaling of containerized applications.

4. IBM Cloud:

IBM Cloud is an enterprise-grade cloud platform that offers a range of services, including compute, storage, AI, blockchain, and IoT. It focuses on hybrid cloud deployments, allowing businesses to integrate their existing infrastructure with cloud resources.

Key features:

  • Virtual Servers: IBM Cloud provides virtual server instances known as IBM Virtual Servers, offering flexible configurations and a wide range of compute options.
  • Kubernetes Service: IBM Kubernetes Service is a managed container orchestration platform based on Kubernetes. It simplifies the deployment, management, and scaling of containerized applications.
  • Cloud Object Storage: IBM Cloud Object Storage offers scalable and durable object storage for storing and retrieving unstructured data. It provides flexible storage tiers and global data availability.

5. Oracle Cloud:

Oracle Cloud provides a set of cloud services, including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It offers solutions for database management, application development, analytics, and more.

Key features:

  • Compute: Oracle Compute provides virtual machine instances with customizable configurations and options for both Intel and AMD processors. It offers high-performance computing capabilities.
  • Autonomous Database: Oracle Autonomous Database is a fully managed and self-driving database service. It uses AI and machine learning to automate database management tasks, such as patching, tuning, and backups.
  • Object Storage: Oracle Object Storage provides scalable and durable object storage for storing and retrieving unstructured data. It offers high durability and data protection capabilities.

6. Alibaba Cloud:

Alibaba Cloud is the cloud computing arm of Alibaba Group, one of the largest e-commerce companies. It offers a wide range of services, including computing, storage, networking, security, and big data processing. It is prevalent in China and Asia.

Key features:

  • Elastic Compute Service (ECS): Alibaba ECS offers scalable virtual server instances with flexible configurations. It provides a wide range of instance types and allows users to customize CPU, memory, storage, and networking resources.
  • Object Storage Service (OSS): Alibaba OSS provides scalable and secure object storage for storing and retrieving large amounts of unstructured data. It offers high durability, availability, and low latency.
  • ApsaraDB for RDS: ApsaraDB for RDS is a fully managed relational database service that supports various database engines, including MySQL, SQL Server, PostgreSQL, and Oracle. It offers automated backups, high availability, and scalability.

7. Salesforce:

While Salesforce is primarily known for its customer relationship management (CRM) software, it also offers a cloud computing platform known as Salesforce Platform. It allows users to build and deploy custom applications using Salesforce’s infrastructure and services.

Key features:

  • Contact and Account Management: Salesforce provides a centralized database to store and manage customer contact information, accounts, and related details. It allows businesses to track each customer’s interactions, activities, and history.
  • Sales Opportunity Management: Salesforce offers tools for managing sales opportunities, including tracking leads, managing pipelines, and forecasting sales revenue. It enables sales teams to collaborate, prioritize leads, and close deals more effectively.
  • Sales Performance and Analytics: Salesforce provides dashboards and reports to analyze sales performance, track key metrics, and gain insights into the effectiveness of sales efforts. It helps identify trends, forecast revenue, and make data-driven decisions.

8. Huawei Cloud:

Huawei Cloud is a global cloud service provider with a growing presence, offering a wide range of services across various industries.

Key features:

  • Elastic Compute Service (ECS): Huawei ECS offers scalable virtual servers with customizable configurations. It provides a wide range of instance types and allows users to easily adjust resources according to their needs.
  • Object Storage Service (OBS): Huawei OBS provides highly available and durable object storage for storing and retrieving unstructured data. It supports multiple storage classes and offers flexible data management options.
  • Database Services: Huawei Cloud offers various database services, including Relational Database Service (RDS) for MySQL, PostgreSQL, and SQL Server databases, as well as Distributed Relational Database Service (DRDS) for distributed database management.

9. VMware Cloud:

VMware Cloud is a hybrid cloud platform that enables organizations to seamlessly run, manage, and secure applications across multiple clouds and on-premises environments.

Key features:

  • VMware Cloud Foundation: VMware Cloud Foundation is an integrated platform that combines compute, storage, networking, and management services into a unified infrastructure stack. It provides a consistent operational experience across private and public clouds.
  • VMware vSphere: VMware vSphere is a virtualization platform that enables the creation and management of virtual machines. It provides high-performance compute resources, scalability, and workload mobility across on-premises and cloud environments.
  • VMware vSAN: VMware vSAN is a software-defined storage solution that is tightly integrated with vSphere. It aggregates local storage devices and provides distributed shared storage for virtual machines. It offers features like data deduplication, compression, and encryption.

10. Tencent Cloud:

Tencent Cloud is one of the leading cloud providers in China, offering a comprehensive suite of cloud services for businesses and developers.

Key features:

  • Elastic Compute Service (ECS): Tencent ECS offers scalable virtual server instances with customizable configurations. It provides a wide range of instance types and allows users to easily adjust resources according to their needs.
  • Object Storage Service (COS): Tencent COS provides highly available and durable object storage for storing and retrieving unstructured data. It offers features like automatic tiering, data archiving, and data migration.
  • Database Services: Tencent Cloud offers various database services, including TencentDB for MySQL, PostgreSQL, and MariaDB, as well as distributed databases like TDSQL. It provides options for high availability, scalability, and data management.
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What Is Azure DevOps?

It is a DevOps platform by Microsoft also Azure DevOps is a software program by Microsoft which delivers endwise DevOps tool series for developing and deploying software.  It is also integrated with the greatest primary tools in the arcade and is a decent option for organizing a DevOps toolchain.

Features of Azure DevOps

Azure DevOps provides a variety of facilities covering the complete development life-cycle.  On the period of inscription these are features:

  • Azure Boards: agile planning, work item tracking, visualisation and reporting tool.
  • Azure Pipelines: a language, platform and cloud agnostic CI/CD platform with support for containers or Kubernetes.
  • Azure Repos: provides cloud-hosted private git repos.
  • Azure Artifacts: provides integrated package management with support for Maven, npm, Python and NuGet package feeds from public or private sources.
  • Azure Test Plans: provides an integrated planned and exploratory testing solution.
  • Azure DevOps can also be used to orchestrate third-party tools.

When was Azure DevOps First launched in the market?

Even though being launched in October 2018, Azure DevOps is not the fresh kid on the DevOps block.  Its extraction can be found all the way back to Visual Studio Team System which was launched in 2006. This is a developed product with a gorgeous feature-set that has above 80,000 internal operators at Microsoft.

What are the benefits of azure DevOps?

  • Reliability: software as a service offering, Azure DevOps is trustworthy, ascendable and worldwide available. It is also supported by an SLA of 99.9% uptime and by 24×7 care.
  • Access to the latest features: Azure DevOps operators get permission of access to new features every 3 weeks. Microsoft is apparent, have available the product roadmap and are dedicated to speedily iterating on the feature-set.
  • End of the upgrade cycle: For groups running on-premises CI/CD tooling, improvements are a consistent headache. By moving to a SaaS model, you no longer need to concern about fixing and improvement the tool chain.

What Is Uses of Azure DevOps

Azure DevOps delivers combined features that you can access through your web browser or IDE client. You can use one or more of the following individual services according to your business needs:

Azure Repos Offers Team Foundation Version Control (TFVC) or offers Git repositories for source control of your code.

Azure Pipelines offers to build and release facilities to support uninterrupted integration and delivery of your applications.

Azure Boards delivers a suite of agile tools to support planning and tracking work, code defects, and issues using Kanban and Scrum methods.

Azure Test Plans provides several tools to test your apps, including manual/exploratory testing and continuous testing.

Azure Artifacts Permits teams to share packages such as Maven, npm, NuGet, and more from public and private sources and integrate package sharing into your pipelines

You can also use the following collaboration tools:

Customizable team dashboards with configurable widgets to share information, progress, and trends

Built-in wikis for sharing information

Configurable notifications

Azure DevOps supports adding extensions and integrating with other popular services, such as Campfire, Slack, Trello, UserVoice, and more, and developing your own custom extensions.

Azure DevOps Services supports integration with and GitHub Enterprise Server repositories. Azure DevOps Server supports integration with GitHub Enterprise Server repositories.


Azure DevOps is a type of DevOps culture powered by Microsoft. It is the second most used and ranked DevOps program after AWS. It does provide you reliability; the latest features; options for upgrade cycle etc. Our ScmGalaxy does also provide Microsoft azure courses with the best of experienced trainers. For Azure, training, and certification you can visit our website DevOpsSchool. We provide all types of training and certification courses regarding DevOps and Microsoft.

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What are the next gen. projects in the Jira cloud?

Hi, my loving friends. Welcome to this course. In this article, I will explain to you about the next-gen project. This is the new feature of Jira and atlas Sian introduced it in the year 2018 so, let’s have a look at the agenda of this content. In this, we will learn what are the next-gen projects, how to create next-gen projects? How can we create issues and add issue types in next-gen projects and how to configure the board? So. Let’ start.

What are the next-gen projects?

Next-gen projects are the newest projects in Jira software and it is only available on the cloud platform to the server one. If you are using a server the server platform and you wouldn’t be able to sit. The third one is configured by project team members. Any team member with the project’s admin role can modify the setting of their next-gen projects. There is no need to take the help of the Jira administrator to add the issue types and to add some fields to your screen. The Fourth one is it is easier and faster to configure than classic projects. You can easily configure setting like issue types and fields with drag-and-drop editing and reordering all in a single place because the best part of next-gen projects is the ability to enable and disable the features and it allows you to scale your projects as your team grows and tailor your projects to your team changing needs so, this is the best thing in the next-gen projects. And before going forward, I would like to tell you one more thing like atlas Sian is building the next-gen Jira software from the ground up.

How to create next-gen projects?

So, it doesn’t yet have all the features that classic projects have. And they are a lot of differences between the next-gen and the classic projects like if I’m talking about the configurations then in the classic projects. We are able to share the configurations from one project to another. But in the next gen, you can’t share it. If you did some configurations for the particular projects in the next-gen, you wouldn’t be able to share that configuration with another project. And there are many more like estimations in the classic projects, you have the options, you can give the estimations in story point in your basis but in the next-gen, there is only one option is available and that is a story point. If you will go to the next-gen cloud instance and see how can you create the next-gen projects and configure them? There will be your cloud instance and you will create the next-gen projects from there. You will see that there will be two options are available one is classic and the other is next-gen. if that particular option is created out for you then this is the permission issue so, before creating the next-gen project. I would like to tell you about the permission so, once you will click on the Jira setting and go to the global permissions, there will be your global permission schema, and create next-gen project option will be there. At the time, you will have permission to create the next-gen project. You will click on the next-gen project and you will see the interface is similar to the classic.

You can simply change the template from there but you will see only two templates are available one is scrum and another one is Kanban. If you will go with Kanban and name the project, you will see the access option (open, limited, private) and project key as a classic one. If you want to change the project key then you can do it there. You will go forward to clicking the create button then the next-gen project board will appear which would be similar to the classic one but what is the difference and how can you identify that this is the next-gen project but what will happen? If you will haven’t created it yet you didn’t create it. Maybe, you are using the project which is created by another one. You will see in the bottom line that you are in the next-gen project. You can find out and identify that you are using the next-gen project. You will see there are the options which are roadmap, board, pages, add an item, and project setting. A Roadmap is a good option which is given by the next-gen project. I will discuss this later in the course. I hope this will give you exact direction in the way of your Jira learning and about its next-gen project. So, you will stay tuned with this course for further next information regarding Jira next-gen project.

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What is master in cloud computing?

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How to set up a Jira cloud instance?

Hi dears, welcome to the course study of Jira. Today, through this article, I will explain to you how you will set up a Jira instance so that you can start to use Jira software for your projects. I have miscellaneous agenda for you. On which topics you will learn is types of Jira instance, what is the difference between server and Cloud instance? And how to create a cloud instance of Jira? So, let’s move forward to learn more about Jira concepts

Jira instance

Basically, there are two types of Jira instances, the first one is cloud and the second one is server. I will tell you what is the difference between the cloud and server instances and which one you should use if you are a beginner to learn about the Jira software. So, let’s move forward to learn about the cloud and the server instances.

Cloud vs server instance

Here I will discuss the cloud instance first. So, what is a cloud instance? In the cloud instance rather than installing and maintaining, your product on your own server Atlas Sian host and set up your Jira application on the cloud for you so, this is the cloud instance and according to me, this is the best instance for the beginner, who want to learn from the very beginning. It is very fast because it’s easy to set up and get started in minutes as soon as you sign up. You may start working and inviting the team members and the second one is reduced costs because it helps to save money on the physical hardware maintenance installation support and any other hidden administration cost as well. This is a cloud instance so, everything is on the cloud and there is no need to bear the cost of your own hardware. The third one is no need to upgrade because on the cloud you get immediate access to the latest version on Jira so, there is no need to upgrade the cloud instance. The fourth one is security, it is very secure because atlas Sian takes the responsibility to maintain the security and compliances of your data and organization so, I describe the benefits of the cloud instances but I want to tell you one more thing about you don’t have direct access to change the database structure, file system, or other server infrastructure because you have a cloud instance and atlas Sian already set up your cloud instance. So, they will not give you administrator access. Let’s learn more about the server instance. What is a server instance? In the server instance, basically, you install, host, and run the Atlas Sian’s product on your own hosting environment. So, basically, those teams will prefer that want to manage all the details on their own and are able to handle the complexity of setting up and hosting the product on their own server. So, if your organization is very big and you have a department of administrators. They can manage the administrator task of the Jira or the server so, you can go with the server version but you are working in a startup and you want to learn your own then go with a cloud one.

In this complete course, I will also use the cloud instance because as I already told you, it is very easy to set up and everyone can access it from anywhere but in the server instance may be the organization installed it on the internal environment so, you would not be able to access it from outside the organization but in the cloud instance, you may access anywhere as I told you I will explain the cloud version in this course so may be the people who are using the server one they will see some differences in the UI because the cloud and the server UI is different in the server we have the navigation on the top but in the cloud we have the navigation in the left hand side and many more other differences in the UI so as I told you the difference between the cloud and the server instances so let’s move forward and see how can you create the cloud instance of Jira so for creating the cloud instance of JIRA so, you will go to the atlas Sian website, there is an atlas Sian official website once you will click on the product tab then you can see the complete list of the atlas Sian the product but there you will go with the Jira software so, you will click on Jira software.  It will take you on that page you may try it free then you can see the three plans and there will be cloud one. You may see try the product in the cloud and that is a free 7 days trail period you can go with any of the packages so, you will go there with any of the packages and you will go there with that one so, you will click on try it free, you will say that is a 7 day free cloud trial and it will give you the full access to all features, you can add the unlimited users and access to sales and technical support so, you will create the account there so you will use your ID and you will click on agree and sign up once you will end with the sign up process then you will see the screen where they will ask you to check your inbox and confirm your email ID so, you will go to your email so to verify that email you will click yes verify and it will redirect to you to the page if you want to select what type of team with do you work in then you can but for that you will skip and see the URL there that is a JIRA all sort of gentle that you have mentioned at the time of creating the account and you can invite your team with the help of the email address if you will enter the email address there and send the invitation then the people will get the email will get the invite and they can accept and use this environment and that JIRA instance for now you will skip that  and there they will ask are you new to Jira or are you already experienced with Jira then you can find out for now. That will be the next page where you can see there are the two types of templates are available first one is the classic template and the second one is a next-generation template. You can see there the Kanban is scrum and the bug tracking three templates are available and these three templates come under the software category so if you will go and will select all types you can see there are many more templates are available which are related to business. In this course, that’s it for today this is a process where you can create the cloud instance.

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Why should I learn AWS?

Hello people, today’s article is based on “why should I learn AWS” first of all we will discuss here that what AWS is, why is it important to us, how does it works, why should  we learn AWS and last but not the least we will discuss the benefits of AWS. So, without wasting any time let’s start with our today’s article…

What is AWS?

The AWS is a complete, developing and cloud computing platform that is delivered by Amazon that includes a mixture of substructure as a service (IaaS), a platform as a service (PaaS) and enfolded as a package as a service (SaaS) contributions. The AWS services will provides a proposal to a goggle tools like figure power, info storage and content delivery services.

The AWS (amazon web services) provides many varieties of various tools and solutions for creativities and package developers that might be utilized in information centres in countries. The teams like administration agencies, the education organizations, non-profits and personal organizations etc. may also use the AWS services.

How AWS works?

The AWS is alienated into dissimilar services as it is designed in various ways that supported the user’s needs. The Users ought to be gifted to piece the alternatives associated with distinct server maps for an AWS service.

But many services comprise to the Amazon net Services assortment which has those for cipher, databases, infrastructure running and conjointly for the applying development and security. These services, by categorized as follows:-

• For Computing.

• For storing databases.

• For the information management.

• For Migration.

• For Hybrid cloud.

• For Networking.

• For Development tools.

• For Management.

• For watching.

• For the safety.

• For the Governance.

• For huge knowledge management.

• For the Analytics.

• For computing (AI).

• For Mobile development.

• For Messages and notification.

What are the importance of AWS?

The AWS courses provide immersive knowledges of which inspires learners to smartly assume, question, and information conclusions. Different the many PowerPoint displays and room recordings, the AWS courses embrace animated graphics, audio tale, video footage, and communication components that build even the foremost multifarious topics each engaging and simple to know. This course additionally covers the way to produce unexperienced buildings and build them into strong and adjusted solutions.

• It manages multiple AWS accounts for your organization.

• It Connect on-premises datacenter to AWS cloud.

• It Discuss asking insinuations of connecting multi-region VPCs.

• It Moves giant information from on-premises datacentre to AWS.

• It styles an outsized information stores for AWS cloud.

• It perceive totally different field styles for climb an outsized web site.

• It shield your setup from DDoS attack.

• It secures your information on AWS with encoding.

• It styles protection of data-at-rest additionally as data-in-flight.

• It enhances the performance of your solutions.

Why should we learn AWS?

The AWS provides the best level of information privacy and security to its customers in spite of their business size. It does not matter whether or not you’re running a tiny low start-up or an outsized business AWS has in depth security support that offers period of time insight on suspicious activity and potential vulnerabilities.

It allows organizations to achieve further coaching and resources (technical, business, sales, and marketing) which will higher serve their customers exploitation AWS services. A lot of certifications a corporation has, the upper the advantages they will access through the layer AWS Partner Network.

Learning these core services can provide you with an honest understanding of however AWS approaches security, networking, knowledge storage, and cypher capability.

Presently, cloud computing has taken the technical world to a brand new level. Cloud computing additionally provides safe access to the servers, storage, databases and offers plenty of application services over the web.

What are the benefits of learning AWS?

The next discussion would set up 10 dissimilar AWS certification blessings. This feature of the discussion would build the inspiration for telling the positive consequences connected with AN AWS certification communication. The advantage of AWS is that companies solely have to be compelled to pay money for the services that they use. The AWS services facilitate businesses to make complete substructure. The total application surroundings facilitate businesses to run applications while not the requirement for physical hardware. As a result, businesses may be ready to cut back their incidentals aboard guaranteeing the measurability of processes. The advantage of AWS is that companies solely have to be compelled to pay money for the services that they use. The AWS services facilitate businesses to make whole infrastructure. The total application environments facilitate businesses to run displays while not the requirement for physical hardware. As a result, companies may be ready to decrease their prices besides safeguarding the measurability of operations.

• For the Preparation for the longer term.

• For the new streets for developing skilled experience.

• To Gain AN appreciation for your labours.

• To show your commitment levels.

• To restricted difficulties to clear AWS certification.

• For a more robust pay check.

• A possibilities to expand skilled network.

• The Employers conjointly get advantages.


So here we are! As of now we had come to an end of this article, hope you all will be satisfied with this article and you would be clear about “why I should learn AWS?” The AWS is a complete, developing and cloud computing platform that is delivered by Amazon that includes a mixture of substructure as a service (IaaS), a platform as a service (PaaS) and enfolded as a package as a service (SaaS) contributions. The AWS services will provides a proposal to a goggle tools like figure power, info storage and content delivery services.

If you want to learn AWS and its advance course the I would suggest you to visit DevOpsSchool.

This is one of the best website for online training and certification. READ MORE CLICK HERE

Thank You!

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Automatic stop and restart the Cloud server

pasupuleti2 created the topic: Automatic stop and restart the Cloud server

How to scheduling an automatic stop and restart the Cloud server every Saturday. We are using Windows 2012 server


rajeshkumar replied the topic: Automatic stop and restart the Cloud server

Please use following tutorials to do that….…dows-task-scheduler/…-375ce2647148?auth=1

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Top 5 Cloud Based Continuous Integration Tools

Today we are going to discuss about Cloud based continuous integration tools. As we already discussed about Continuous integration, it’s benefits and top continuous integration tools in our previous article which was published few weeks ago, you can click here go there. In this article, we tried to make your selection process easy if you are looking for cloud based continuous integration tools.
These days organisations are increasingly turning to cloud based options for continuous integration and this is obvious because cloud based options allows you hassle free process. You don’t need to build new server, downloading or installing or configuring the softwares in local platform. You don’t need to spend your time to manage or upgrade them frequently. Alongwith that when you need more resources during business hours, you also get the leverage for infrastructure resources on-demand and greatly reduce the time to run large builds or regression test suites. Therefore cloud hosted CI tools are on demand, just configure and go.
So, without any further ado, let’s check out the Top 5 Cloud based Continuous Integration tools.
1. Travis CI
Travis CI
Travis CI is a cloud based continuous integration tool which is developed by Travis CI community. This is written in Ruby and it is an open source tool. You can easily synchronise GitHub projects with this tool. It’s supports platforms like Linux, Mac or iOS and also supports many languages in which Node js, php, Xcode, python, java, are few of them.
Key Features
  • Supports pull request and branch build flow
  • Run tests in parallel
  • Great API and command line tool
  • Open Source tool
  • Multi-language support
  • Easy to sync GitHub projects
  • Pull request build flow
  • Branch build flow
  • Notifications by Slack, HipChat, Emails and more
  • Deploy to S3 and Heroku
2. Go CD


Go CD is also amongst the top tools which is used for cloud based continuous integration. However, Go CD is continuous delivery tool. This tool is written in Java and Ruby and available under Apache license. It was Developed by ThoughtWorks in the year 2007 and renamed GoCD later in the year 2010.
Key Features
  • Open source tool
  • Supports Cross platform
  • Manual triggers to customise and save good versions of Apps
  • Value Stream Map allows you to track a change from commit to deploy at a glance.
  • Test reporting
  • compare builds feature for both files and commit messages – across any two arbitrary builds
  • Allow to set multiple servers to keep your data available in the case of an emergency
  • GitHub Integration
3. CircleCI
CircleCI is a cloud based continuous integration software which is belongs to Circle CI and was founded in the year 2011. It is available as free and paid with trail option. It is integrated with popular code management services such as GitHub & Bitbucket. It supports languages like Python, Node.js, Ruby, Java, Go, etc.
Key Features
  • Free plan even for a business account
  • Rest API — you have an access to projects, build and artifacts
  • You can trigger SSH mode to access container
  • Integrated with Github & Bitbucket
  • It’s easy, lightweight and fast to start
  • Compatible with Ubuntu and Mac OS X
  • Compatible with AWS, Azure, Heroku, Docker, dedicated server
4. GitLab CI
GitLab CI
GitLab CI is also amongst the best Hosted continuous integration tool which belongs to GitLab Inc and available under open source and commercial license. This is written in Ruby and Go. Gitlab build scripts are command line driven and work with Java, PHP, Ruby, C, and any other language.
Key Features
  • Fully integrated with GitLab
  • Supports platforms like Unix, Windows, OSX, and any other platform that supports Go
  • Tests run distributed on separate machines of which you can add as many as you want
  • GitLab CI offers the same great experience as GitLab. Familiar, easy to use, and beautiful.
  • Easy to use
  • Each build can be split in multiple jobs that run in parallel on multiple machines
  • There are multiple executors and you can reproduce tests locally
5. Codeship


Codeship is one of the most powerful cloud based CI tool which available in open source but for support you need to choose paid option. It’s easy to start using Codeship, the size of team and needs does not affect the performance. This tool works on GitHub and Bitbucket, but you can use it with docker platform too by opting packages. This tool support languages such as Java, PHP, Ruby (Rails), Node.js, Python, and Go.
Key Features
  • Easy to start and Use
  • Fully customizable hosted CI platform
  • You can sign up with GitHub, GitLab & Bitbucket
  • Flexible Pricing
  • ParallelCI feature
  • Open source tool but for support you need to pay
  • Docker Supported (by upgrading)
Do you agree with this list? If not than feel free to respond in the comment box with your own take on the top cloud based or hosted continuous integration tools. One more thing, I would like to add here, if you need help to learn all these build tools or DevOps courses than scmGalaxy can help you in this. scmGalaxy is a community of DevOps professionals who are well experienced in this domain. So, feel free to contact us.
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Top 10 Cloud Platforms | List of best Cloud Platforms

Cloud computing is one of the trends which is going in IT industry these days. The traditional way of building IT environment is now shifting towards the cloud computing. This is the reason number of cloud service provider is increasing day by day and it becomes a tough task to select good one among-st them. So, In this article I am going to tell you about the top 10 cloud platforms for cloud services.
But, before that let’s have a quick overview on Cloud platforms?
Cloud platforms are platforms that allow developers to write applications that runs in the cloud and allows users to access data, services and applications, storage over the internet and allow them to work from anywhere on it.
If we look on to the benefits of cloud platforms than these are the following benefits
1. Reducing Costs – Cloud platforms eliminating the needs of own hardware, software, licenses, servers and other infrastructures which you needs to build IT working environment which ultimately reduce your costs.
2. Productivity – As you don’t need your hardware, software and on-premises servers which means you don’t need to hire experts to maintain them which helps you in both ways first on cost savings and second the professionals can focus on other things.
3. Availability – Cloud platforms allows you to access from anywhere, on any device 24/7
4. Scalability – The best thing about cloud platforms is that you don’t need to worry about high traffic or sudden growth on traffic because cloud platforms automatically provide as many servers as required in such situations.
5. Affordability – As we mentioned above about scalability of cloud platforms where service providers allow server as per situations but it’s not cost you much because it;s not compelling you to pay for unnecessary usage of servers by automatically reduces the numbers of servers when traffic go down. You need to pay only for that sort of time when service provider allocates extra servers.
6. Migration – Cloud platforms also allow users to migrate completely from one service provider to another without losing your data.
Now, let’s check on to the service models of cloud platforms

There are three models of cloud platforms

1. SaaS – Software as a service (Saas) applications runs completely in the cloud. It enables delivery of applications over the cloud, it means you don’t need to buy, install and maintain own software. Software is managed from a central location and Just pay for what you used.
2. PaaS –  Platform as a service (PaaS) This kind of cloud platforms provides you set of tools and services designed to make coding and deploying those applications quick and efficient. Means to say you can develop, runs and manage applications on the cloud.
3. IaaS – Infrastructure as a Service (IaaS) It is a kind of service where you get access to virtualized computer resources over the internet. You can get complete infrastructure solutions like hardware, software, servers, storage and other things from third party.
Now, lets move on to the next section.

Here is the list of top 10 cloud platforms.


1. Amazon Web Services


Amazon AWS cloud platform

  • Service Model – IaaS
  • Deployment Model – Hybrid, Private & Public Cloud
  • Server operating system – Linux & windows
  • Auto Scaling
  • Block Storage
  • VPN Access
  • Cloud Storage
  • Database as a Service
  • Deploy servers
  • DNS management

2. Microsoft Azure Cloud

Microsoft Azue Cloud Platform

  • Service Model – PaaS
  • Deployment Model – Private Cloud
  • Server operating system – Linux windows
  • Auto Scaling
  • Block Storage
  • Cloud Storage
  • Content Delivery Network
  • Deploy Servers
  • Disaster Recovery
  • VPN Access
  • DNS Management
  • Database as a Service

3. Google

Google Cloud Platform

  • Service Model – IaaS
  • Deployment Model – Public Cloud
  • Server operating system – Linux & windows
  • Cloud Storage
  • Docker Support
  • Load Balancing
  • Firewalls
  • Snapshots
  • API (Application Programming Interface)
  • Web Based Application/Control Panel

4. Rackspace

Rackspace Cloud

  • Service Model – IaaS
  • Deployment Model – Hybrid Cloud, Private Cloud, and Public Cloud
  • Server operating system – Linux & windows
  • Auto Scaling
  • Block Storage
  • Cloud Storage
  • Content Delivery Network (CDN)
  • Database as a Service
  • Deploy Servers
  • DNS Management

5. VMware

VmWare Cloud

  • Service Model – IaaS
  • Deployment Model – Hybrid Cloud
  • Server operating system – Linux & windows
  • Auto Scaling
  • Cloud Storage
  • Load Balancing
  • System Monitoring
  • Web Based Application/Control Panel
  • API (Application Programming Interface)

6. Salesforce

SalesForce Cloud

  • Service Model – PaaS
  • Deployment Model – Public Cloud
  • Server operating system – Linux & windows
  • Auto Scaling
  • File Storage
  • Firewalls
  • Flexible Storage Services
  • System Monitoring

7. Oracle

Oracle Cloud

  • Service Model – PaaS
  • Deployment Model – Private Cloud and Public Cloud
  • Server operating system – windows
  • Block Storage
  • Cloud Storage
  • Database as a Service
  • Object Storage


8. IBM

IBM Cloud

  • Service Model – IaaS
  • Deployment Model – Hybrid Cloud and Private Cloud
  • Server operating system – Linux & windows
  • Web Based Application/Control Panel
  • API (Application Programming Interface)
  • Messaging Services

9. Red Hat

Red Hat

  • Service Model – PaaS
  • Deployment Model – Hybrid cloud and Private Cloud
  • Server operating system – windows
  • Auto Scaling
  • Horizontal Scaling
  • Snapshots
  • Vertical Scaling
  • API (Application Programming Interface)
  • Command Line
  • Graphical User Interface


10. Heroku

  • Service Model – PaaS
  • Deployment Model – Public Cloud
  • Server operating system – Linux & windows
  • Auto Scaling
  • Horizontal Scaling
  • Control Interface-Command Line

So, this is my list of top cloud platforms which are trending these days. But, if you think about some other platforms than feel free to share with us in the comment section below.

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Top 5 git version control software in cloud


  1. Cloud Based
  2. cloudforge
  3. Assembla
  4. github
  5. bitbucket
  6. beanstalk
  7. Gitlab

Some of them can be hosted behind the firewall as well in your company premises.

  1. Gerrit
  2. Gitlab
  3. Github
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