AWS DevOps vs Azure DevOps DevOps is not a tool or service, it is a methodology. Using this methodology the entire software development life cycle could be automated. It is the union of people, processes, and products to enable continuous delivery of value to the end-users. Both AWS and Azure aim to automate the software development lifecycle. Now let’s see the differences between the two cloud giants. AWS DevOps vs Azure DevOps
Infrastructure: AWS, started scaling from the infrastructure from the beginning. Its approach has been to continually be ahead of the innovation curve and offer services that IT operations can easily comprehend and use to support their compute and storage requirements on-demand, on the other hand, Azure was built as a holistic platform and has been geared toward the enterprise from the beginning. It began as a platform as a service (PaaS), making it easier for developers to build applications without worrying about the servers on which they’re running. Azure DevOps Online Training Service Integration: AWS DevOps allows users to easily integrate AWS services like EC2, S3, in just a few clicks while Azure DevOps allows users to integrate Azure services like Azure VM, Azure App Services, and SQL databases and also it’s even easier to integrate with third-party tools like Jenkins, as they have a huge eco-system for third party editions. Managing Packages in a Software: If you take any software you will need a package manager like if you are working on Angular or any node-based framework you will surely need a node package manager and manage this NPM you will need a package manager. In AWS DevOps if you have to manage a package you need to integrate an external software or a third party software like Artifactory while Azure has a package manager tool called Azure Artifacts to manage the packages like Nuget, Maven, etc. Best Feature: AWS DevOps can easily automate a complete code deployment with AWS services, on the other hand, Azure DevOps has Kanban boards, workflows, and a huge extension ecosystem
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