Kafka microservices example github. No strict types Built a Spring Boot microservice integrating Kafka for high-volume transaction processing. This guide is intended for beginners and includes detailed explanations for each step. Microservices_Examples This project is a microservices-based e-commerce application built with Spring Boot. RAG-Powered News Q&A — Microservices (Ingestion, Embedding, Query) Backend for saving news URLs and querying them with AI-powered search. This mircoservices-sample project demonstrates how multiple Jan 31, 2024 · Integrating Kafka into microservices enables the services to communicate asynchronously and process data in real-time. Apache Kafka is a powerful distributed streaming platform designed to handle real-time data feeds with high throughput and low latency. Built as three microservices communicating via Kafka (Aiven free tier) and sharing a Qdrant vector store. A sample application to demonstrate microservices using SpringBoot What is it? "Microservices", a trending buzz word nowadays. Contribute to seshangamage/Microservices-Architectural-Patterns development by creating an account on GitHub. Example microservices showing how to use Kafka and Kafka Streams with Spring Boot on the example of distributed transactions implementations with the SAGA pattern - GitHub - piomin/sample-spring-k Explore a curated collection of GitHub repositories featuring Apache Kafka sample code, including producers, consumers, and Kafka Streams applications. Sep 27, 2025 · When combined with Spring Boot, Kafka becomes a powerful solution for microservices communication, enabling scalability, decoupling and fault tolerance. This tutorial will guide you through the integration of Kafka into a microservice environment, with a progression from basic to advanced examples. What problems does it solve? Many organizations nowadays are driving the technology migrations and one of the biggest challenges is to migrate from monolithic application to micro-services based application. Kafka is a distributed streaming platform that can handle real-time data feeds. It uses Kafka for event-driven communication and Zipkin for distributed tracing, ensuring scalability, reliability, and high performance. Enhance your understanding of Kafka design patterns and best practices through hands-on experimentation. Java, Spring Boot, Apache Kafka, Camunda, Zeebe, python-kafka-microservices This is an example of a microservice ecosystem using the CQRS (Command and Query Responsibility Segregation) and Event Sourcing patterns, and nothing better to explain that by using as reference a pizza takeaway shop. g. 3️⃣ What is the difference between WebClient and Kafka? WebClient is synchronous; Kafka is asynchronous event-driven communication. microservices). This repository is used as the example for the following articles: Distributed Transactions in Microservices with Kafka Streams and Spring Boot - how to implement distributed transaction based on the SAGA pattern with Spring Boot and Kafka Streams Deep Dive into Saga Transactions with Kafka Streams and Spring Boot - how to implement distributed transaction based on the SAGA pattern with Spring Microservices Architectural Patterns. By enabling systems to publish, store, and process streams of data in a fault-tolerant way, Kafka facilitates seamless communication between microservices, data pipelines, and Follow @Rubix_Codes @julianvelez1997 Apache Kafka Architecture For More Updates Don't Forget To Like ♥️ | Share 📲 | Save 📥 Apache Kafka is a distributed event-streaming platform designed for high-throughput, fault-tolerant, and real-time data pipelines. It includes customer, product, order, payment, notification, discovery, config server, and gateway services. Contribute to djukic03/microservices-kafka-examples development by creating an account on GitHub. In this tutorial, we will create two Spring Boot microservices that communicate with each other using Apache Kafka. Implemented transaction validation and persistence using Spring Data JPA with an H2 SQL database, while Java Microservices Developer | Cloud Architect | Spring Boot, Docker, Kafka | Angular, AWS | FinTech, Banking & Payment Gateway | Building Scalable Enterprise Feb 20, 2026 · Handles millions of messages per second Stores events durably on disk Fault-tolerant via replication Enables microservices architecture Perfect for real-time analytics Decouples services cleanly Follow @howaryanakhouri and comment “Kafka” to get this doc directly in your dm. Why Communication Matters in Microservices In a microservice architecture, services need to communicate with each other to exchange data and orchestrate workflows. Showing concrete implementation alternatives using e. It uses producers, topics, partitions, brokers, and consumers to reliably stream data at scale, making it a core building block for Microservices Debugging Tale 😩 Ever chase a 'ghost' bug across 5 microservices that vanishes in prod logs? Last week, I did—turns out it was a sneaky N+1 query in Hibernate + a Kafka consumer . The Invisible Wall: Why Your Microservices Need a Schema Registry In my first few years of working with distributed systems, I thought JSON over Kafka was the ultimate freedom. About Sample application demonstrating an order fulfillment system decomposed into multiple independant components (e. inz jvr syz rkc wxa ulk yua uzv hyf dwt bwc awj hel lde yuh