System design, AWS, microservices, AI/ML deployment — practical posts for engineers who want to build production-grade systems.
A practical, production-minded guide to building a CI/CD pipeline for Spring Boot microservices, covering tests, quality gates, Docker image tagging, environment promotion, blue-green and canary deployments, rollbacks, and secrets.
FastAPI has become the go-to Python framework for serving ML models in production. Here's how to build async inference endpoints, stream LLM responses, and deploy them reliably on AWS.
Master the journey from code commit to production deployment. Learn pipeline design, quality gates, blue-green deployments, and secrets management for Spring Boot services.
A practical system design walkthrough for scaling a product from a single server to 1 million requests per day, covering load balancing, caching, database bottlenecks, queues, observability, and operational trade-offs.
A complete guide to building retrieval-augmented generation (RAG) systems in Java using LangChain4j. Learn chunking strategies, embedding pipelines, vector store integration, and how to ship RAG to production.
A complete walkthrough of designing a production-ready URL shortener on AWS — covering hashing strategies, database selection, caching, and scaling to billions of redirects.
Step-by-step guide to packaging a scikit-learn or PyTorch model as a Lambda function — covering cold starts, container images, model versioning, and A/B testing on AWS.