Modern Spring Based Microservices on Kubernetes
Example applications show to use Spring Boot on Kubernetes. There are multiple types
of sample applications in this repo. Samples showing various approaches for
containerizing Spring applications in the containerize folder.
Samples showing features for running Spring applications on Kubernetes in run
folder. Samples showing features for AOT in the aot folder. Each sample application has a README.md that explains how to run the
sample and points out interesting things to look at.
- Java 17 JDK
- Java 17 GraalVM or Java 17 Liberica NIK 22.2 (Spring Native)
- Maven
- Gradle
- Favourite Java IDE one of
You will need a Kubernetes cluster running on your laptop to test the sample apps. The workshop samples have been tested with a kind based local cluster. While Minikube and docker desktop kubernetes can be used to run the apps, the instructions and scripts assume kind is available so please make suer you have kind installed.
- kind local kubernetes cluster
is to use the cluster that is built into docker desktop that is what the samples have been tested with.
- Kubernetes sample tested with Docker Desktop K8s. If you have a different k8s install you must know how to expose the app in k8s to your machine machine if you don't just use docker desktop k8s to run these demos.
- minikube
- kubectl
- k9s text gui for k8s
- carvel super useful set of clis for working kubernetes and containers
Since 2014 Spring has been the leading framework for building microservices in the Java ecosystem. A lot has changed over the past 8 years in both the Spring ecosystem and wider cloud ecosystem. Kubernetes has matured and become widely available on public and private clouds, giving us an industry standard foundation for managing microservices. GraphQL and gRPC offer new possibilities for exposing API endpoints. Service Meshes, Serverless functions give us many more options for implementing and architecting microservices.
Unfortunately the internet is full of old blog posts and stackoverflow answers recommending out of date approaches to building microservices in Spring. This hands-on workshop is an up-to-date look at how to build microservice based applications using the latest generation of Spring projects running on Kubernetes.
The workshop consists of a series of sample applications which implement modern microservice architecture patterns in Spring using various approaches so you can select the approach that works best for your situation.
Technologies covered in the workshop
- Declarative clients (New feature in Spring 6)
- GraphQL (New feature in Spring 6)
- Spring Authorization Server (Customizable OIDC server)
- Spring Cloud Gateway
- Spring Cloud Sleuth
- Spring Cloud Function
- Observability with Micrometre 2 and Spring Framework 6
- How to effectively containerize Spring Boot apps
- How to effectively run Spring Boot apps on Kubernetes
- Understand Ahead-of-Time(AOT) and Native Images in Spring Boot 3.0
Architectural topics that we will discuss
- Service discovery
- Traffic routing
- API Gateways vs. Service Mesh
- Workload identity vs. User Identity
- Securing microservices
- Kubernetes native service discovery vs. Netflix Eureka
- Kubernetes native configuration vs. Spring Cloud Config
- GraphQL vs. REST
- Serverless Functions vs. Long Running Processes
Come learn how to use new capabilities introduced in Spring Framework 6, Spring Boot 3, and Spring Cloud 2022, running on Kubernetes, to design and implement modern microservices.
These projects are due to GA in the Nov / Dec 2022 timeframe, so we will be using the latest milestones or release candidates available.