In this workshop, you will migrate a set of Spring microservices to Azure Spring Cloud. We will be using a modified version of the Piggy Metrics, licensed under MIT license.

This is not the official documentation but an opinionated training.

It is a hands-on training, and it will use the command line extensively. The idea is to get coding very quickly and play with the platform, from a simple demo to far more complex examples.

After completing all the guides, you should feel confident migrating real-world Spring microservices to Azure Spring Cloud, and implementing a comprehensive and modern DevOps process.

🛑 - Manual Modification Required. When this symbol appears in front of one or more commands, you will need to modify the commands as indicated prior to running them.

🚧 - Preview-specific. This symbol indicates steps that are only necessary while Azure Spring Cloud is in preview.

💡 - Frustration Avoidance Tip. These will help you avoid potential pitfalls.

Prerequisites and environment setup.

Provisioning an Azure Spring Cloud instance, configuring diagnostic settings and distributed tracing, building and deploying the application.

Using Azure Log Analytics to understand what went wrong.

Using Distributed Tracing to understand microservice interactions, scaling out to meet demand.

Creating automated build and release pipelines with Azure DevOps.

Deploying microservices for testing in production without impacting the user experience.

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.