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What is Azure DevOps? Who is it for? What is the big picture?
Azure DevOps is the collaboration hub for everyone in the development team, including project managers, testers, architects, developers and end-users. Here we will create a team project and configure it.
Sources are probably the most important part in any software project and we need a way to keep track of all sources and all changes. Azure Repos gives you the choice between TFVS and Git for storing your source history, branching, merging and everything else required. Here we discuss Git source control.
Multiple developers working on the same code base requires a central place for all your team's code and changes. In Git these are known as remote repositories. Here we discuss team collaboration with Git.
How can we avoid code changes from one developer interfering with code from others? Branching has always been used to allow developers to complete their changes before integrating them with others.
Working as a team on the same codebase comes with its own challenges. Factors like false cognates, code conventions, SOLID principles, etc., could result in good or bad code quality. Pull requests allow you to ensure that your code maintains its high quality.
The project backlog contains all the features that users have requested. This does not mean we will immediately add this feature; for this, we have backlog planning where we try to identify the features we want to build next.
Once we have decided which features we will build next, we will identify the various tasks that need to be completed to build that feature. We will look at balancing product, schedule, and cost.
Ready? Set? Go! During the sprint the whole team builds the next features. Communication here is essential, so we will look at the daily standup meeting and how VSTS can help. We will also look at reporting in DevOps.
To build quality software and to avoid integration problems at the end of the project, continuous integration builds are considered a best practice. Azure DevOps simplifies continuous integration through its pipeline system. Here, you will author build pipelines to ensure the quality of your project.
With continuous deployment, you can automatically deploy your project. By utilizing stages, you can verify the quality of your deployment through manual and/or automatic steps before deploying to production.
The cloud enables you to easily provision computing infrastructure, such as servers, networks, storage, and other resources. With 'infrastructure as code,' you use machine-readable definition files, such as ARM or Bicep, to deploy your infrastructure.
Modern development utilizes packages like NuGet, NPM, or others. With Azure Artifacts, you can create your own private or public package feeds.
Do you want to learn how DevOps can deliver a higher quality software product in less time? How to avoid broken deployments using continuous integration and deployment? Then this course is for you!
Anyone who is involved in application development. Exercices don't require real coding skills as they are for illustrating the workflow with Azure DevOps.