Thoughts on cloud-native development, Kubernetes, Go, AI, and distributed systems.
How to connect AI assistants directly to PostgreSQL using pg-airman-mcp — a Model Context Protocol server that exposes 22 tools for schema exploration, query optimization, index tuning, and database health...
A deep dive into idempotency — why it matters, how to implement it correctly, and real-world examples from notification systems and banking applications.
Why embedding-based RAG fails on multi-hop and relationship-heavy questions, and how graph database retrieval can deliver more grounded, explainable answers.
A hands-on guide to building Retrieval-Augmented Generation pipelines using LangFlow's visual interface — from document ingestion to conversational Q&A, without writing boilerplate code.
How to build a Model Context Protocol (MCP) server using FastAPI for a todo application — complete with a notification system and a LangChain agent that manages tasks through natural...
A step-by-step guide to instrumenting your gRPC services with Prometheus metrics using Go interceptors — covering latency histograms, request counters, and Grafana dashboards.
A deep dive into PostgreSQL's EXPLAIN and ANALYZE commands — learn to read query plans, understand node types, spot performance bottlenecks, and optimize slow queries with real-world examples.
A practical guide to building production-ready Kubernetes Operators using Kubebuilder, covering CRD design, reconciliation loops, and testing strategies.
How to build a Retrieval-Augmented Generation pipeline using LangChain, pgvector, and OpenAI embeddings for intelligent document search.
Lessons learned from building gRPC-based microservices at scale — covering service design, error handling, interceptors, and observability.