About NPBlue
A practitioner-led knowledge platform for cloud, data engineering, and AI — written by people who ship, and kept current with where the field is actually heading.
Our mission
NPBlue exists to close the gap between vendor documentation and real-world engineering. Every guide is written by practitioners who have shipped production data pipelines, designed cloud architectures, and wrestled modern AI systems into something that works.
We don't skim the surface. The goal is the depth you need to make confident decisions — choosing a Snowflake clustering key, designing a cost-aware RAG pipeline, sizing a Lambda's concurrency, or preparing a sharp answer for a principal-engineer interview.
Authored by engineers with hands-on production experience — not writers paraphrasing release notes.
We go past tutorials into real patterns, real trade-offs, and the failure modes nobody puts in the quickstart.
Cloud and AI move fast. We revise guides as pricing, APIs, and best practices change underneath us.
No paywalls and no gated downloads. Every guide, calculator, and reference is free for every engineer.
What we're tracking in 2026
The fundamentals don't change overnight — but the frontier does. These are the movements we're actively writing about and folding back into our guides this year.
Tool-using LLM agents and the Model Context Protocol are reshaping how software is built. We track the patterns that actually ship.
Retrieval pipelines have matured past the demo. We cover chunking, reranking, evals, and the cost trade-offs teams hit at scale.
Apache Iceberg, lakehouse architectures, and warehouse-native compute are converging. We explain what to adopt and what to wait on.
GPU bills and token costs are the new cloud-spend frontier. Our calculators and guides help engineers reason about real cost.
What we cover
From low-level SQL tuning to high-level system design, NPBlue covers the technologies data engineers, cloud architects, and AI practitioners reach for every day.
Get in touch
Have a topic you'd like us to cover? Found an error in a guide? Interested in collaborating? Reach out — we read every message.
Questions, feedback, collaboration ideas, or content requests — all welcome.
