Java Microservices is a software architecture style that structures an application as a collection of small, independent services. Each service focuses on a specific business functionality and communicates with other services through lightweight APIs.
- Enables independent development, testing, and deployment of services.
- Improves fault isolation, so failure in one service has minimal impact on others.
- Supports technology flexibility, allowing services to evolve independently when needed.
Key Features of Microservices
- Modular architecture: The application is broken down into a set of loosely coupled services
- Language independent: Services can be written in different programming languages
- Scalability: Individual services can be scaled independently based on demand
- Resilience: Failure of one service does not impact others
- Flexibility: Services can be modified, updated or replaced independently
Introduction to Java Microservices
Java Microservices break applications into small, independent services. Let’s explore what they are, why this architecture is popular and the role of stateful vs stateless services.
- Introduction
- Microservice Architecture and Why to Use Them
- Why the World is Moving Towards Java Microservices Architecture
- Monolithic vs Microservices Architecture
- Stateful vs. Stateless Microservices
Java Microservices with Spring Boot
Basics
Let’s start with the basics of building Java Microservices using Spring Boot, with a step-by-step example and key reasons why Spring Boot is the top choice for development.
- Introduction to Spring Boot Microservices
- Reasons to Choose Spring Boot for Microservices Development
Service Registry & Discovery
In this section, we’ll explore Service Registry and Discovery in Java Microservices, focusing on Eureka for configuration, server-side and client-side discovery and enabling auto-scaling.
- Service Discovery and Service Registry
- Getting Started with Spring Boot and Eureka Service Registry
- Eureka Server
- Eureka Client
- Eureka Service Registry
- Eureka Server Configuration
- Developing Service Discovery
- Server Side Service Discovery
- Client Side Service Discovery
- Auto-Scaling Microservices with Eureka
API Gateway
In this section, we cover API Gateway in Java Microservices. we’ll learn what an API Gateway is, how to build one using Spring Cloud Gateway and how it enables dynamic routing and service discovery. We’ll also look into key security best practices to safeguard your microservices.
- API Gateway
- Develop API Gateway Using Spring Cloud Gateway
- Route Predicate Factory in Spring Cloud Gateway
- Filter Factory in Spring Cloud Gateway
- Dynamic Routing and Service Discovery in API Gateway
- API Gateway Security Best Practices
Configuration Management
In this section, we'll learn how to manage configuration centrally in a microservices architecture. We'll explore Spring Cloud Config Server and Config Client, along with techniques to refresh configuration changes dynamically without restarting services.
Load Balancing
This section explores load balancing in Java Microservices. We’ll learn how Spring Boot supports load balancing, how to integrate Eureka, Feign and Spring Cloud Load Balancer and how Ribbon can be used to efficiently distribute traffic across services.
- Load Balancing
- Spring Cloud LoadBalancer
- Integration of Eureka, Feign & Spring Cloud Load Balancer
- Load Balancing using Netflix’s Ribbon
Inter-Service Communication
In this section, we cover different communication patterns in Java Microservices. We’ll explore synchronous methods like RestTemplate, FeignClient and WebClient, as well as asynchronous messaging with Kafka, ActiveMQ and RabbitMQ for reliable inter-service communication.
Messaging & Event-Driven Architecture
This section introduces Messaging and Event-Driven Architecture in Java Microservices. We’ll explore how messaging queues enable asynchronous communication, understand event-driven design and learn to build scalable event-driven microservices using Apache Kafka.
- Introduction to Messaging Queues
- Event-Driven Architecture
- Event-Driven Communication
- With Apache Kafka
- With Apache ActiveMQ
- With RabbitMQ
Circuit Breaker & Resilience
This section focuses on Circuit Breakers and resilience in Java Microservices. We’ll learn how to prevent cascading failures using Hystrix, explore resilience patterns like retries and understand how to build fault-tolerant microservices with Spring Boot.
- Introduction to Microservice Circuit Breakers
- Implementing a Basic Circuit Breaker with Hystrix
- Microservices Resilience Patterns
- Building Resilient Microservices with Spring Boot and Hystrix
- Retry Pattern
- Bulkhead Pattern
- Rate Limiter Pattern
Distributed Tracing & Monitoring
In this section, we'll learn how to monitor and troubleshoot microservices effectively. We'll explore distributed tracing, metrics collection, and observability tools such as Zipkin, OpenTelemetry, Prometheus, and Grafana.
Deployment
In this section, we’ll learn how to deploy Java Microservices effectively. From containerizing with Docker to orchestrating with Kubernetes and deploying on cloud platforms like AWS Elastic Beanstalk and ECS with Fargate, you’ll gain practical insights into scalable deployment strategies.
- Containerizing Microservices with Docker
- Docker Compose for Microservices
- Kubernetes Basics for Microservices
- Deploy Java Microservices on AWS Elastic Beanstalk
- Deploy Java Microservices on Amazon ECS using AWS Fargate
Secure Java Microservices
In this section, we focus on securing Java Microservices. We’ll explore essential security measures, session management, secure API communication and service registration with Eureka, along with best practices using Spring Security to protect microservices effectively.
- Security Measures for Microservices Architecture
- Session Management in Microservices
- Implementing Secure API Communication
- Secure Service Registration with Eureka and Spring Boot Microservices
- API Gateway Authentication
- Best Practices to Secure Microservices with Spring Security
Microservices Design Patterns
This section covers commonly used design patterns in microservices architecture. These patterns help solve challenges related to data consistency, communication, scalability, and system evolution in distributed applications.
- Database per Service Pattern
- API Gateway Pattern
- Saga Pattern
- CQRS Pattern
- Event Sourcing Pattern
- Strangler Pattern
- Sidecar Pattern
Testing Microservices
This section focuses on testing strategies for microservices. We'll learn how to validate individual services, verify interactions between services, and automate testing using modern tools and frameworks.
- Unit Testing Microservices
- Integration Testing
- Contract Testing with Spring Cloud Contract
- Testing REST APIs using Postman
- Testing with Testcontainers
Advanced Concepts
Learn advanced techniques for building scalable, secure, and high-performance Java Microservices.