System design, AWS, microservices, AI/ML deployment — practical posts for engineers who want to build production-grade systems.
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.