Virtual threads are rewriting the rules of concurrent Java — handling millions of threads with simple blocking code. Here’s how to adopt them in production.
Java 21 Virtual Threads: The End of Reactive Complexity Read Post »
From ChatClient to RAG pipelines — a practical guide to integrating LLMs into your Spring Boot applications using the Spring AI framework.
Building Intelligent AI Applications with Spring AI Read Post »
From optimized Dockerfiles to Kubernetes deployments — everything a Java developer needs to containerize and orchestrate Spring Boot apps.
Docker to Kubernetes: A Java Developer’s Production Guide Read Post »
Practical caching strategies with Redis and Spring Boot — from @Cacheable basics to distributed cache stampede prevention in high-traffic systems.
Redis Caching Patterns That Scale: A Spring Boot Guide Read Post »
Protect your APIs from abuse with token bucket rate limiting, distributed Redis counters, and proper 429 response handling in Spring Boot.
API Rate Limiting and Throttling in Spring Boot Read Post »
A complete system design walkthrough — WebSockets, Redis Pub/Sub, message delivery guarantees, and scaling to millions of concurrent users.
System Design: Building a Real-Time Chat Application Read Post »
A deep dive into patterns and practices that make Spring Boot applications resilient, maintainable, and performant in production environments.
Spring Boot Best Practices for Production-Ready Applications Read Post »
Lessons learned from building distributed systems at scale — saga patterns, circuit breakers, and the patterns that saved us in production.
Microservices Architecture: Patterns That Actually Work Read Post »
Building resilient, decoupled systems using Kafka — from basic pub/sub to complex event sourcing patterns in Java.
Event-Driven Microservices with Apache Kafka Read Post »
From code generation to architectural decisions — exploring how AI tools are changing the way we write, review, and ship code.
How AI is Reshaping Software Development in 2025 Read Post »