Runnable Spring Boot 4 microservices on Kind — gateway, MongoDB, Jaeger, Spring Cloud Kubernetes cross-namespace discovery, one make kind-up
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Updated
Apr 18, 2026 - Java
Runnable Spring Boot 4 microservices on Kind — gateway, MongoDB, Jaeger, Spring Cloud Kubernetes cross-namespace discovery, one make kind-up
Desenvolvimento de Aplicações com Arquitetura Baseada em Microservices
Advanced course on tools and practices aiming at designing, developing, deploying and maintain in production microservice architectures.
LGPL V3. Java Spring Boot microservice with RESTful webconsole and service endpoints that convert HTML to PDF, optionally styling with CSS and templating with JSON using Flying Saucer, PDF Box and Jackson libraries. Available on Docker Hub.
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A robust, multi-module Jakarta EE 10 banking application, fully containerized using Docker and Docker Compose. This project demonstrates how to modernize a legacy-style "Big Iron" Java application (EAR packaging) by migrating it to a containerized environment.
Demonstration of containerizing a Spring Boot REST application using Docker. Leveraging OpenJDK 17, Maven, and a custom Dockerfile, this project showcases best practices for building, packaging, and running lightweight Docker containers.
Making Docker and Kubernetes management easy.
A Docker image of the MATSim open-source framework for implementing large-scale agent-based transport simulations.
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A containerized distributed data processing system that demonstrates core cloud database concepts through hands-on implementation using Java, Apache Arrow, Iceberg, and Calcite
Hotel website made during the Advanced Java college course at WGU.
Docker management system
A game server framework written in Java utilizing Docker for its architecture.
Docker Java client integration for Quarkus
Access live logs of devices using the Wunder Ground API and sends the values to an influx db
CI/CD pipeline and containerization demo — Jenkins, Docker, and Spring Boot deployment automation
A high-performance system for weather station data, using Kafka for messaging, Elasticsearch for analytics, and a custom Riak Bitcask key-value store for persistence. Designed for real-time, scalable data processing and insights.
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