Spring Boot Microservices in Production
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Spring Boot Microservices in Production

A comprehensive guide to building, deploying, and scaling resilient distributed systems with Spring Boot and Spring Cloud

About the Book

Build bulletproof Spring Boot microservices with proven architecture patterns, hands‑on DDD, and production‑grade resilience.

What’s inside:

  • Incremental migration from monoliths using Strangler Fig, event‑driven decomposition, and database‑per‑service for true autonomy.
  • A complete Spring Boot dev environment: JDK 17+, IDE setup, Maven/Gradle, Docker, and reproducible workflows that scale.
  • REST API design that balances performance, rate limiting, and evolvability for large service fleets.
  • Domain‑Driven Design in practice: bounded contexts, aggregates, repositories, and domain events with Spring.
  • Production resilience: circuit breakers, retries with backoff, graceful fallbacks, and deep observability.
  • Zero‑downtime delivery: blue‑green, canary, and rolling updates on Kubernetes without user impact.

Who it’s for:

  • Java developers, engineers and architects building or migrating to Spring Boot microservices at scale.

What readers will do:

  • Decompose real systems safely, define clean service boundaries, and ship faster with confidence.
  • Model domains that match the business, enforce invariants, and keep services loosely coupled.
  • Harden services against failure and deploy continuously without downtime.
  • Share this book

  • Categories

    • Distributed Systems
    • Computers and Programming
    • API Design
    • Java
    • Event-Driven Architecture
    • Resiliency
    • Software Engineering
  • Feedback

    Email the Author(s)

Table of Contents

    • Spring Boot Microservices in Production
      • A comprehensive guide to building, deploying, and scaling resilient distributed systems with Spring Cloud
      • Table of Contents
    • Chapter 1: From Monolith to Microservices: Understanding the Shift
      • Monolithic Architecture: Origins and Limitations
      • Microservices: A Paradigm Shift
      • Migration Strategy Framework
      • Design Patterns for Microservices Transformation
      • Practical Migration Walkthrough: Transforming a Monolith to Microservices
      • Hands-on Migration Exercise: Decomposing a Monolithic Application
      • Chapter Summary
    • Chapter 2: Setting Up Your Spring Boot Microservice Development Environment
      • Development Environment Prerequisites
      • Installing and Configuring Spring Boot Development Tools
      • Containerization with Docker for Microservices
      • Local Development and Testing Infrastructure
      • Continuous Integration and Development Workflow
      • Performance and Monitoring Tools Setup
      • Chapter Summary
    • Chapter 3: Designing RESTful APIs for Microservice Communication
      • RESTful API Design Principles
      • Creating API Contracts with Spring Boot
      • Error Handling and Validation in Microservice APIs
      • API Versioning Strategies
      • Securing Microservice APIs
      • Performance and Rate Limiting in Microservice APIs
      • Chapter Summary
    • Chapter 4: Implementing Domain-Driven Design in Spring Boot Applications
      • Introduction to Domain-Driven Design
      • Strategic Design: Bounded Contexts
      • Tactical Design: Aggregate Patterns
      • Domain Events and Event Sourcing in Spring Boot Microservices
      • Implementing Repositories with Spring Data
      • Practical DDD Microservice Case Study
      • Chapter Summary
    • Chapter 5: Building Resilient Data Access Layers
      • Circuit Breaker Pattern Implementation
      • Database Connection Pooling Strategies
      • Retry Mechanisms for Transient Failures
      • Distributed Transaction Management
      • Database Read/Write Separation
      • Performance Monitoring and Metrics for Database Interactions
      • Chapter Summary
    • Chapter 6: Testing Strategies for Microservice Components
      • Unit Testing Microservice Components
      • Integration Testing Strategies for Microservices
      • Contract Testing with Spring Cloud Contract
      • End-to-End Microservice Testing
      • Automated Testing Pipelines
      • Real-World Testing Case Study: Order Processing Microservice
      • Chapter Summary
    • Chapter 7: Service Discovery with Eureka and Consul
      • Introduction to Service Discovery
      • Netflix Eureka Service Registry Setup
      • Consul Service Discovery Configuration
      • Client-Side Load Balancing with Ribbon
      • Service Discovery Best Practices
      • Practical Microservices Service Discovery Workshop
      • Chapter Summary
    • Chapter 8: Centralized Configuration with Spring Cloud Config
      • Introduction to Centralized Configuration
      • Setting Up Spring Cloud Config Server
      • Client-Side Configuration Consumption
      • Configuration Security and Encryption
      • Advanced Configuration Patterns
      • Real-World Configuration Management Case Study
      • Chapter Summary
    • Chapter 9: Client-Side Load Balancing with Spring Cloud LoadBalancer
      • Introduction to Client-Side Load Balancing
      • Spring Cloud LoadBalancer Architecture
      • Configuring Service Discovery with Eureka in Spring Boot Microservices
      • Implementing Load Balancing Strategies
      • Resilience and Fault Tolerance in Microservices
      • Performance Monitoring and Optimization for Client-Side Load Balancing
      • Chapter Summary
    • Chapter 10: Implementing API Gateways with Spring Cloud Gateway
      • Introduction to API Gateways
      • Setting Up Spring Cloud Gateway
      • Dynamic Route Configuration in Spring Cloud Gateway
      • Request and Response Filtering with Spring Cloud Gateway
      • Authentication and Security with Spring Cloud Gateway
      • Load Balancing and Resilience with Spring Cloud Gateway
      • Chapter Summary
    • Chapter 11: Circuit Breaking and Resilience with Resilience4j
      • Introduction to Circuit Breaking
      • Resilience4j Core Concepts
      • Implementing Circuit Breakers
      • Retry and Fallback Strategies with Resilience4j
      • Rate Limiting and Bulkhead Patterns in Microservices
      • Monitoring and Metrics for Circuit Breakers
      • Chapter Summary
    • Chapter 12: Distributed Tracing with Spring Cloud Sleuth and Zipkin
      • Introduction to Distributed Tracing
      • Setting Up Spring Cloud Sleuth
      • Configuring Zipkin Server
      • Trace Propagation Between Services
      • Performance Monitoring and Analysis in Distributed Tracing
      • Advanced Tracing Techniques
      • Chapter Summary
    • Chapter 13: Event-Driven Architecture with Spring Cloud Stream
      • Introduction to Event-Driven Architecture
      • Spring Cloud Stream Core Concepts
      • Implementing Event Producers
      • Event Consumers and Message Processing
      • Advanced Messaging Patterns
      • Real-World Case Study: Event-Driven Microservices Architecture
      • Chapter Summary
    • Chapter 14: Implementing CQRS and Event Sourcing in Spring Boot
      • Introduction to CQRS and Event Sourcing
      • Setting Up Axon Framework
      • Designing Command Models
      • Implementing Query Models in CQRS
      • Event Store and Persistent Storage in Microservices
      • Handling Eventual Consistency
      • Chapter Summary
    • Chapter 15: Saga Pattern for Distributed Transactions
      • Introduction to Distributed Transactions
      • Saga Pattern Fundamentals
      • Choreography-based Saga Implementation
      • Orchestration-based Saga Implementation
      • Compensating Transaction Strategies in Microservices
      • Real-world Case Study: E-commerce Order Fulfillment Saga
      • Chapter Summary
    • Chapter 16: API Versioning and Evolution Strategies
      • Introduction to API Versioning
      • URI Versioning Implementation
      • Header-based Versioning
      • Media Type Versioning
      • Backward and Forward Compatibility in Microservices
      • Versioning Best Practices
      • Real-world Versioning Case Study: Enterprise Microservices Architecture
      • Chapter Summary
    • Chapter 17: Authentication and Authorization Across Microservices
      • Authentication Fundamentals in Microservices
      • Implementing JWT Authentication
      • OAuth2 and OpenID Connect Integration
      • Role-Based Access Control (RBAC) in Microservices
      • Centralized Identity Management
      • Securing Microservice Communication
      • Chapter Summary
    • Chapter 18: Rate Limiting and API Throttling Techniques
      • Introduction to Rate Limiting
      • Token Bucket Rate Limiting Algorithm
      • Sliding Window Rate Limiting
      • Distributed Rate Limiting with Redis
      • Adaptive Throttling Strategies
      • Rate Limiting Best Practices
      • Chapter Summary
    • Chapter 19: Implementing Effective Caching Strategies
      • Caching Fundamentals in Microservices
      • Spring Cache Abstraction Overview
      • Implementing Redis Distributed Cache
      • Cache Invalidation Strategies
      • Performance Monitoring and Optimization for Microservices Caching
      • Real-world Caching Case Study
      • Chapter Summary
    • Chapter 20: Message Queues and Asynchronous Communication Patterns
      • Introduction to Asynchronous Messaging
      • Message Queue Fundamentals with RabbitMQ
      • Event-Driven Microservices Architecture
      • Message Reliability and Retry Mechanisms
      • Advanced Message Routing Strategies
      • Performance and Scalability Considerations for Message Queues
      • Chapter Summary
    • Chapter 21: Containerization with Docker and Spring Boot
      • Introduction to Containerization
      • Dockerizing Spring Boot Applications
      • Multi-Stage Docker Builds
      • Container Networking and Service Discovery
      • Docker Compose for Microservices
      • Production Deployment Strategies
      • Chapter Summary
    • Chapter 22: Orchestration with Kubernetes and Spring Cloud Kubernetes
      • Kubernetes Architecture Overview
      • Spring Boot Containerization: Docker Best Practices
      • Kubernetes Deployment Strategies
      • Service Discovery with Spring Cloud Kubernetes
      • Configuration Management in Kubernetes for Spring Boot Microservices
      • Monitoring and Observability in Kubernetes Microservices
      • Chapter Summary
    • Chapter 23: Implementing Health Checks and Metrics with Actuator
      • Introduction to Spring Boot Actuator
      • Configuring Actuator Endpoints
      • Custom Health Indicators in Spring Boot Actuator
      • Implementing Custom Metrics with Micrometer in Spring Boot
      • Securing Actuator Endpoints
      • Integrating with Monitoring Systems
      • Chapter Summary
    • Chapter 24: Centralized Logging and Monitoring Architectures
      • Logging Architecture Foundations
      • Log Aggregation Techniques
      • Microservice Observability Patterns
      • Monitoring and Alerting Framework
      • Advanced Logging Security
      • Practical Implementation Workshop: Logging and Monitoring for Microservices
      • Chapter Summary
    • Chapter 25: Performance Tuning Spring Boot Microservices
      • Performance Profiling and Analysis in Spring Boot Microservices
      • Caching Strategies for Spring Boot Microservices
      • Database Performance Optimization
      • Concurrency and Thread Management in Spring Boot Microservices
      • JVM Performance Tuning
      • Load Balancing and Horizontal Scaling in Kubernetes
      • Chapter Summary
    • Chapter 26: Implementing Graceful Degradation and Failover Strategies
      • Understanding Service Resilience Challenges
      • Circuit Breaker Pattern Implementation
      • Retry and Backoff Strategies in Microservices
      • Fallback Mechanism Design in Microservices
      • Real-world Resilience Case Study
      • Advanced Error Handling Techniques
      • Chapter Summary
    • Chapter 27: Zero-Downtime Deployments and Rolling Updates
      • Zero-Downtime Deployment Fundamentals
      • Rolling Update Strategies
      • Kubernetes Deployment Configuration for Zero-Downtime Updates
      • Spring Boot Health Checks
      • Deployment Validation Techniques
      • Advanced Deployment Patterns
      • Chapter Summary
    • Chapter 28: Building an E-Commerce System with Microservices
      • E-Commerce Microservices Architecture Overview
      • Product Service Implementation
      • Order Management Microservice: Advanced Workflow Design
      • User Authentication and Authorization
      • Service Discovery and Load Balancing with Netflix Eureka
      • Event-Driven Communication with Apache Kafka
      • Chapter Summary
    • Chapter 29: Migrating Legacy Systems to Microservices Incrementally
      • Assessing Legacy System Architecture
      • Domain-Driven Decomposition Strategies
      • Implementing the Strangler Pattern
      • Data Migration and Consistency in Microservice Architecture
      • Integration Patterns and Anti-Patterns in Microservices Migration
      • Monitoring and Performance Optimization in Microservices
      • Chapter Summary
    • Chapter 30: Handling High-Volume Data Processing in Distributed Systems
      • Architectural Considerations for High-Volume Data Processing
      • Event-Driven Microservices with Apache Kafka
      • Implementing Batch Processing with Spring Batch
      • Stream Processing with Apache Flink
      • Performance Monitoring and Optimization
      • Practical Case Study: Building a High-Throughput Data Processing System
      • Chapter Summary
    • Chapter 31: Implementing Multi-Tenancy in Spring Boot Microservices
      • Multi-Tenancy Architectural Patterns
      • Tenant Context and Request Routing in Spring Boot Microservices
      • Database Multi-Tenancy Strategies in Spring Boot Microservices
      • Tenant Authentication and Authorization in Spring Boot Microservices
      • Configuration Management for Multi-Tenant Microservices
      • Performance and Monitoring in Multi-Tenant Microservices
      • Chapter Summary
    • Chapter 32: Global Deployment Strategies and Data Sovereignty Concerns
      • Global Deployment Topology Patterns
      • Data Sovereignty Implementation
      • Service Discovery across Regions
      • Distributed Transaction Management
      • Performance and Latency Optimization in Microservices
      • Regulatory Compliance Framework
      • Chapter Summary
    • Chapter 33: Cost Optimization and Resource Management
      • Understanding Microservices Resource Consumption
      • Implementing Horizontal Pod Autoscaling
      • Cloud Provider Cost Management Tools
      • Resource Quotas and Limits in Kubernetes Microservices
      • Performance Optimization Strategies
      • Practical Cost Reduction Workshop
      • Chapter Summary

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