🏗 Build container images for your Java applications.

Demo Java apps for several scenarios on Kubernetes

A shopping application designed with microservices architecture

Spring Boot Docker Without Docker

Jib JVM Flags extension

Spring Boot Skaffold2 with Gradle

Test project for container image publishing

Программная сборка Docker-образов через Jib Core по YAML-конфигурациям.

The goal of this project is to develop a straightforward Spring Boot REST API application, named simple-service, which utilizes Okta for authentication handling.

🚀 Spring Boot Microservices with Prometheus & Grafana integration! 📊 Collect app metrics, scrape with Prometheus ⚙️, and visualize in Grafana 📈. Easy setup with Docker 🐳, prebuilt dashboards, and Actuator endpoints for monitoring your services in real-time! 🔥

Guidelines for Spring Boot

The goal of this project is to explore the capabilities of Vault. To achieve this, we will develop applications that utilize Vault to store and retrieve secrets. Vault dynamically generates credentials for accessing databases and relies on Consul as the backend. The authentication method employed in Vault is AppRole.

The goal is to play with Spring Kafka. We've implemented 5 examples of producer and consumer services that exchange 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 a "News" processing pipeline composed of five Spring Boot applications: producer-api, categorizer-service, collector-service, publisher-api and news-client.

A simple Java webapp to merge PDFs

Travel-Bank_Docker_v.2.0, -Dockerfiles, Google Jib, Buildpacks Docker Compose .

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.

Talk about Jib's benefits, usage, and extending its functionality.

Showcase the different ways to containerize a Java application