BackendJan 15, 202610 min read

Building Scalable Microservices with Java & Spring Boot

#Java#Spring Boot#Microservices#Redis
HTTP CLIENTAPI GATEWAYREVERSE PROXYPort 443 (SSL)LOAD BALANCERWorker 1RPS: 3,450Worker 2 (Master)RPS: 4,110Worker 3RPS: 2,890DB POOLPOSTGRESBUILDING SCALABLE MICROSERVICES WITH JAVA & SPRING BOOTBACKEND FLOW SCHEMA

Designing high-performance backend systems with Java and Spring Boot requires careful consideration of architecture, security, and database query efficiency.

1. Microservices & API Design

Breaking applications down into modular microservices improves maintainability and scalability. Each service should own its domain data, communicating via lightweight RESTful APIs or message streams like Apache Kafka.

2. Security with JWT & Spring Security

Implementing role-based access control (RBAC) ensures end-to-end security. Decoupling authentication using JWT tokens allows stateless authentication across distributed microservices.

3. Database Optimization & Redis Caching

Optimizing SQL queries, utilizing indexing, and storing frequent reads in a Redis cache reduces response times by ~30% and relieves read pressure on primary MySQL databases.

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