A shopping application designed with microservices architecture

Deploying a Quarkus-based Vert.x application to Google Kubernetes Engine (GKE)

🏗 Build container images for your Java applications.

Demo Java apps for several scenarios on Kubernetes

Source code examples built for the purpose of video course: Microservices On Kubernetes

sbt version of sbt jib: https://github.com/GoogleContainerTools/jib

The goal of this project is to explore GraphQL. For it, we will implement two microservices: author-book-api and book-review-api.

Demo application using Vert.x and GraalVM

JVM Memory Calculator

The goal of this project is to use Nginx as a reverse proxy and load balancer for a Keycloak cluster with two instances and a Spring Boot application, called simple-service, also with two instances. The simple-service app will use Keycloak for IAM.

The goal of this project is to explore how caching works. To achieve this, we will implement a simple Spring Boot application called "restaurant-api." We will use Neo4j for storage and select one of the following solutions (Simple, Caffeine, or Redis) for caching.

The goal of this project is to implement an application called product-app. It consists of two Spring Boot services: product-api (backend) and product-ui (frontend). Data will be stored in Elasticsearch

The goal is to play with Spring Kafka. We've implemented 5 examples of producer and consumer services that exchanges messages through Kafka using different types of serialization and approaches.

The goal of this project is to create two applications: one as a Spring Boot producer and the other as a Spring Boot consumer. We'll be using Spring for Apache Kafka and Spring Cloud Stream.

The goal of this project is to implement two Spring Boot applications: bitcoin-api and bitcoin-client. The bitcoin-api application simulates BTC price changes, while the bitcoin-client application listens to these changes and updates a real-time UI. The bitcoin-client UI is secured using Basic Authentication.

Project goal: Explore Kafka, Kafka Connect, and Kafka Streams. Components: store-api: Inserts/updates MySQL records. Source Connectors: Monitor MySQL changes, push messages to Kafka. Sink Connectors: Listen to Kafka, insert/update Elasticsearch docs. store-streams: Listens to Kafka, processes with Kafka Streams, pushes new messages to Kafka.

The goal of this project is to create a simple Spring Boot REST API, called simple-service, and secure it with Keycloak. Furthermore, the API users will be loaded into Keycloak from OpenLDAP server.

Demo project for Spring Boot with Jib