Differences And Similarities In Running DevOps In Aws And Azure

AWS DevOps:

AWS DevOps is a technology that was created for industries to be able to execute the idea of DevOps with the help of various services, features, and tools that are included by this cloud platform. AWS gives various services which are flexible and designed for companies to expand and deliver their products more regularly and faster with the help of AWS and DevOps. AWS DevOps is converting the way we host assets through AWS Cloud. If you have ever studied DevOps Training in Chennai or worked with it, this course will add numerous skill sets to increase your chances of cracking interviews and you will stand out in a better position as compared to the crowd. 


Azure DevOps:

Azure DevOps (formerly called VSTS) is everything you want to build your product from start to finish. Azure DevOps is a platform that enables every software development team on the planet to design businesses using an agile process, manage code using Git, test applications, and deploy code using a CI/CD framework. We can identify an easy way (Dev + Ops = DevOps), that is, a collection of development and operations techniques for developing software programs. Azure DevOps is a Software as a Service (SaaS) platform from Microsoft that provides a comprehensive set of DevOps tools for software development and deployment. It also integrates with most of the leading tools available in the market and is an excellent choice for orchestrating a DevOps toolchain. Azure is an open source and scalable cloud platform that helps in development, service hosting, service management and data storage. Azure cloud computing hosts web applications on the Internet using Microsoft data centres.


AWS DevOps Tools:

  • AWS CodePipeline

  • AWS CodeBuild

  • AWS CodeDeploy

  • AWS CodeStar


AWS CodePipeline:

AWS CodePipeline is a fully managed continuous delivery service from Amazon that helps you automate the process of application deployment and infrastructure updates. It helps you build, test, and deploy app releases every time the code changes so that quality and updates are delivered quickly and reliably. For example, an application developer can specify which CodePipeline tests will run and in which game environment they will be deployed. CodePipeline can perform these steps in parallel using multiple processors to avoid queues and speed up workflows. It works on a pay-as-go model, with no upfront fees.


AWS CodeDeploy:

AWS CodeDeploy is a fully managed continuous deployment service that code deployment, for example, includes Amazon EC2 instances, AWS Lambda, and on-premises instances. CodeDeploy lets you release new features quickly and helps you avoid downtime during application deployment. It also manages the complexity of updating your application. AWS CodeDeploy can be used to deploy applications or software through automation, avoiding the need for error-prone manual operations. It will also adapt to your deployment environment requirements. It works on a pay-as-you-go model for deploying software/applications in on-prem instances without upfront payment.


AWS CodeStar:

AWS CodeStar enables its customers to create, build and deploy applications/software in their AWS environment. It provides a unified interface for all software development activities across the AWS infrastructure. With CodeStar, you can set up a continuous supply chain to release code updates faster, and it also provides a unified authorization mechanism to control the access of owners, contributors, and viewers to your project. Every CodeStar project has a project dashboard that allows you to track your team's software development progress in every aspect. It works on a pay-as-you-go model with no upfront fees.


Azure DevOps Tools:

  • Azure Pipelines

  • Azure Repos

  • Azure Artefacts

  • Azure Test Plans

  • Azure Boards


Azure Pipelines:

Azure Pipelines is a cloud service from Microsoft that helps consumers to build and test steps of code projects to ship to any target. It incorporates continuous integration and continuous delivery mechanisms to build and test your code quickly and reliably. Azure Pipelines control systems such as Github & subversion, help any language, like JavaScript or Python, and deploy code to any target, even VMs.


Azure Artefacts:

Using the Azure Code Repository, we can track the changes made by each developer, merge them, test the changes and release them to the production environment.


Azure Test Plans:

Azure Test Plans offers you three types of test case management for your QA team: i) test plans, ii) test suites, and iii) test cases. Test plans contain test suites as well as individual test cases and can be added to static test suites, requirements-based test suites, and query-based test suites. Test suites consist of individual test cases based on the scenarios to be tested. A test case verifies a specific part of the code in question. By using test cases, you can ensure that your application code is free of logical errors and meets the expected behaviour of customers and the business. A test case can be part of multiple test plans or test suites and does not need to be cloned/replicated for each plan or suite.


Azure Boards:

Azure Board is a cloud-based service offered by Microsoft to manage software projects in terms of user stories, backlogs, tasks, features, and issue reports for a project. It has native support for Scrum and Kanban and also supports customizable dashboards and reporting. Project users can track work items based on the type of work items present in the project and can also update the work status using a preset Kanban board. Lead developers can assign work to team members and use labels to label information. Considering the two DevOps vendors, AWS & Azure, the only major similarity between the two is their goal to automate the software development lifecycle. Azure DevOps also has Kanban boards, workflows, and a large ecosystem for extensions. AWS and Azure DevOps have similar practices when it comes to general DevOps practices such as development, integration, testing, delivery, deployment, and monitoring in a collaborative environment, but there is a fine line between the two that needs to be considered. The main difference between AWS DevOps and Azure DevOps tools is their integration within their cloud environment and with third-party services. AWS DevOps tools are easier to get started with, while Azure DevOps is a better fit for the Azure environment and third-party services available in the Azure Marketplace.


Conclusion:

The choice is yours, but if you think about today's market, every organisation uses cloud as a platform to perform DevOps tasks. This is possible by having the right guidance with the Azure Training in Chennai. There is no doubt that AWS and Azure are the 2 leading players in the cloud technology field as they both excel in what they offer for DevOps in different ways. Azure unexpectedly gained market share, but AWS remains the largest cloud computing services company in the world today. So what are you waiting for? Apply now to get full exposure to top service companies and grow today.

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