This repository covers a comprehensive journey to mastering Microservices Architecture using Java, Spring Boot, and Spring Cloud — including production-grade practices, containerization, orchestration, observability, and security.
- What is Microservices Architecture
- A software design approach where applications are composed of small, independent services that communicate via APIs.
- Difference Between Architectures:
- Monolithic: Single deployable unit; tightly coupled components.
- SOA (Service-Oriented Architecture): Larger services; uses ESB (Enterprise Service Bus) for communication.
- Microservices: Smaller, independently deployable units with lightweight communication (REST, messaging).
Tech Stack:
Java 17+, Spring Boot, Spring Cloud, Maven/Gradle
Key Concepts:
- Domain-driven design (DDD)
- API versioning and validation
- Centralized exception handling
- Logging, tracing, and documentation (Swagger / OpenAPI)
- Cloud-Native Apps: Designed for scalability, resilience, and continuous delivery in cloud environments.
- 15 Factors:
- Codebase
- Dependencies
- Config
- Backing Services
- Build, Release, Run
- Processes
- Port Binding
- Concurrency
- Disposability
- Dev/Prod Parity
- Logs
- Admin Processes
- API First
- Telemetry
- Authentication & Authorization
Using: Spring Cloud Config Server
- Centralized configuration for all microservices
- Supports environment-specific properties
- Integration with Git for versioned configuration
Using: Spring Cloud Netflix Eureka
- Services register themselves on startup
- Other services discover them dynamically
- Eliminates need for hardcoded URLs
- Enables load balancing via Spring Cloud LoadBalancer
Using: Resilience4j
- Implement:
- Circuit Breaker
- Retry
- Rate Limiter
- Bulkhead
- Time Limiter
- Improves fault tolerance and stability
Using: Spring Cloud Gateway
- Single entry point for all requests
- Implements:
- Routing
- Rate Limiting
- Security (JWT, OAuth2)
- Centralized logging and tracing
- CORS handling
Stack: Prometheus, Grafana, Loki, Promtail, Tempo
- Prometheus: Metrics collection
- Grafana: Visualization
- Loki + Promtail: Log aggregation
- Tempo: Distributed tracing
- Full observability across microservices
Using: Spring Security, OAuth2, OpenID Connect
- Secure APIs using access tokens
- Implement Single Sign-On (SSO)
- Integrate with Keycloak / Okta / Auth0
- Role-based and JWT-based authorization
Using: Docker
- Build lightweight, isolated containers for each microservice
- Write Dockerfiles for:
- Building images
- Running containers locally
- Push to Docker Hub / private registry
Using: Kubernetes
- Deploy, scale, and manage microservices at scale
- Manage configurations via ConfigMaps and Secrets
- Implement:
- Auto-scaling
- Rolling updates
- Health checks
- Service load balancing
Using: RabbitMQ, Kafka, Spring Cloud Stream, Spring Cloud Function
- Enable asynchronous communication
- Event producers and consumers
- Real-time data streaming
- Decoupled architecture for scalability
Using: Helm
- Package and deploy microservices easily on Kubernetes
- Manage configuration templates and versioning
- Simplify complex multi-service deployments
By completing this learning roadmap, you’ll be able to:
- Design and build production-grade, cloud-native microservices
- Implement resilience, observability, and security
- Deploy applications using Docker & Kubernetes
- Build scalable and maintainable distributed systems
| Category | Tools |
|---|---|
| Core | Java, Spring Boot |
| Config & Discovery | Spring Cloud Config, Eureka |
| Resilience | Resilience4j |
| Gateway | Spring Cloud Gateway |
| Security | OAuth2, OIDC, Spring Security |
| Observability | Prometheus, Grafana, Loki, Tempo |
| Messaging | RabbitMQ, Kafka |
| Containerization | Docker |
| Orchestration | Kubernetes |
| Packaging | Helm |
https://github.com/oojas/Micorservices-SpringBoot-Config
Section 6 has configuration related code and then the microservices are also built. Sectiion 7 deals with MYSQL