Spring Boot Microservices & Kafka | Build Real Java | 2026

Explore microservices architecture through a mutual fund scenario, building a user service and a fund service to model investors, accounts, investments, and recurring sips.

Explore monolithic versus microservices architecture, revealing how monoliths consolidate modules in one codebase and how microservices enhance scalability, fault tolerance, and flexibility.

Build two Spring Boot microservices, a user service and a fund service, using Spring Web and Java 17, with simple REST endpoints and port configuration.

Build a user service with Spring Data JPA and MySQL, defining user, investment, and account entities, exposing endpoints to save users and create related accounts and investments.

Build a fund microservice with Spring Boot, creating fund entity, repository, service, and controller; expose post create fund and get by id endpoints, and enable inter-service calls via web client.

Learn inter-service communication with a web client in spring boot, calling fund services from the user service and calculating investment metrics like unit of purchase and net asset value.

Learn how to implement inter-service communication with RestTemplate in a microservice setup and see how it compares to web client usage. Explore avoiding hard-coded URLs by using a service registry.

Discover how a service registry with Eureka enables service discovery and load balancing across multiple instances by registering services and resolving them by name rather than fixed urls.

Learn how api gateway centralizes request routing with spring cloud gateway, enabling load balancing, authentication, api integration, and monitoring via a eureka service registry.

Explore the circuit breaker design pattern with resilience4j in a Spring Boot microservices setup. Implement a pricing service with a fallback method to handle failures and maintain resilience.

Discover how spring cloud config server centralizes common configuration for microservices by reading from a Git repository and securely retrieving credentials from AWS Secrets Manager.

Discover real-time Redis cache integration in a Spring Boot microservice by configuring Spring Data Redis, a Redis cache manager, and Jackson JSON serialization, with TTL and cacheable usage.

Explore how Kafka serves as a distributed streaming platform for real-time data, contrasts point-to-point and pub-sub models, and covers topics, partitions, offsets, producers, consumers, and ZooKeeper.

Install and run Kafka and Zookeeper, start the Kafka server, create a topic with partitions, and publish and consume messages using the console tools.

Explore Kafka components such as broker, zookeeper, cluster, topic, producer, and consumer, and learn how event keys enable ordered HR events across partitions.

Explore how Kafka organizes data with topics and partitions, and how offsets track messages in log segments, with keys routing to partitions and leader-follower replication.

Develop a real-time Kafka producer and consumer in Spring Boot for an e-commerce transaction workflow, sending transaction logs to a topic and consuming them live.

Learn to build a spring boot kafka consumer that subscribes to the transaction producer topic, handles messages with a kafka listener, and deserializes data for downstream storage.

Learn to build a real-time Spring Boot project and automate deployment with a GitHub Actions CI/CD pipeline in AWS, including Docker, ECR, and SonarCloud.

Demonstrates a real-time CI/CD pipeline using GitHub Actions to deploy a spring boot app to an AWS EC2 instance, pulling docker images from ECR and managing ssh keys and secrets.