Knowledge Hub
Practical insights from engineers building at scale. No fluff, all signal.
After deploying over 20 LLM-powered applications to production, we've learned what makes the difference between a promising demo and a reliable product. Here's everything we wish we knew.
How we migrated a production PostgreSQL database with 50 million records to a new schema with zero downtime and zero data loss using the strangler-fig pattern.
A year-in-review of the most impactful Kubernetes changes, deprecations, and best practices that every platform engineer should know about heading into 2025.
A deep dive into the FinOps strategies, architectural changes, and tooling that helped one of our clients reduce their cloud spend from $180k/month to $68k/month.
An honest, opinionated take on the microservices debate. We break down when distributed architecture genuinely helps and when it's just complexity theater.
We've helped 15+ startups go from idea to funded product. Here's the exact framework we use — from discovery sprint to MVP launch to first paying customers.
From goroutine pools to fan-out/fan-in patterns to context propagation — a practical guide to writing concurrent Go code that's correct, readable, and production-safe.
A comprehensive overview of the tools, frameworks, and architectures that make up a modern AI engineering stack — from data ingestion to model serving.
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