Deploy a production-ready Spring Boot microservice on AWS Fargate with Docker, ECS, ALB health checks, private subnets, secrets, CI/CD, and autoscaling.
Azure AI Foundry turns RAG setup from a week of manual plumbing into an afternoon of configuration — but access control, security, and cost planning are still on you.
Microservices succeed when they're designed with clear service boundaries, reliable communication, independent data ownership, and strong operational practices.
Learn how to choose the right API testing framework, including REST Assured, Supertest, pytest, Postman, Karate, and Keploy, for better API test automation.
The latest MCP spec mandates W3C tracing. Use Quarkus and OpenTelemetry to easily visualize disjointed, multi-round-trip AI agent workflows in production.
CI optimization using Git diff and JGit to selectively run impacted Karate tests, reducing regression execution while preserving safe fallback coverage.
Building a dynamic API translation proxy that leverages Java 21 Virtual Threads and Redisson distributed locking to safely execute AI-driven schema mapping.
The Model Context Protocol has evolved to be entirely stateless over HTTP, removing complex session bottlenecks. Pairing this update with cloud-native Java, Quarkus!
Cloud cost optimization was hard because cloud made infrastructure consumption easy; AI cost optimization will be worse because AI makes decision consumption easy.