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You will find here a full workshop on Azure Spring Cloud, including guides and demos.
This lab is based on a public workshop created by Julien Dubois and available for free to everyone, under the 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 have a fairly good understanding of everything that Azure Spring Cloud offers.
🛑 - 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.
Basics on creating a cluster and configuring the CLI to work efficiently.
Build the simplest possible Spring Boot microservice, made with https://start.spring.io/.
Access Spring Boot applications logs to understand common issues.
Configure a Spring Cloud Config Server, that will be entirely managed and supported by Azure Spring Cloud, to be used by Spring Boot microservices.
Build a Spring Boot microservice that is cloud-enabled: it uses a Spring Cloud Service Registry and a Spring Cloud Config Server which are both managed and supported by Azure Spring Cloud.
Build a reactive Spring Boot microservice, that uses the Spring reactive stack and is bound to a Cosmos DB database in order to access a globally-distributed database with optimum performance.
Build a classical Spring Boot application that uses JPA to acess a MySQL database managed by Azure.
Build a Spring Cloud Gateway to route HTTP requests to the correct Spring Boot microservices.
Use a front-end to access graphically our complete microservice stack. Monitor our services with Azure Spring Cloud's distributed tracing mechanism and scale our services depending on our needs.
Deploy new versions of applications in a staging environment and switch between staging and production with Azure Spring Cloud.
Configure a Continuous Integration / Continuous Deployment platform using GitHub Actions, so our Spring Boot microservices are automatically deployed.
Creating a microservice that talks to other microservices.
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