Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
AWS Cost Control with Tagging and Budgets. Practical guidance for reliable, scalable platform operations.
Learn how to build multi-agent AI systems where multiple AI agents collaborate to solve complex tasks. Architecture patterns and implementation guide.
Ansible Role Design for Large Teams. Practical guidance for reliable, scalable platform operations.
Master prompt engineering techniques to get better results from LLMs. Learn about few-shot learning, chain-of-thought, and advanced prompting strategies.
Terraform State Isolation by Environment. Practical guidance for reliable, scalable platform operations.
Complete guide to deploying AI models in production. Learn about model serving, containerization, scaling, and monitoring strategies.
Learn how to reduce LLM model size and inference costs using quantization techniques like Q4, Q8, and GPTQ. Practical guide with benchmarks.
GitHub Actions Pipeline Reliability. Practical guidance for reliable, scalable platform operations.
Docker Image Hardening for Production. Practical guidance for reliable, scalable platform operations.
Compare the top vector databases for AI applications. Learn when to use Pinecone, Weaviate, or ChromaDB based on your requirements.
Learn how to build production-ready RAG applications using vector databases, embedding models, and LLMs. Complete guide with code examples and best practices.
Kubernetes Cluster Upgrade Strategy. Practical guidance for reliable, scalable platform operations.
