Engineering Insights

Practical advice on building software, data platforms, AI systems, and cloud infrastructure — from engineers who do it every day.

Software Engineering8 min read

When to Migrate from a Monolith to Microservices (And When Not To)

Not every application needs microservices. Here's a practical framework for deciding when the complexity is worth it — and how to execute the migration without disrupting your business.

Alex Chen·
Data Engineering7 min read

Building Data Pipelines That Don't Break at 3 AM

Most data pipeline failures are preventable. Here are the patterns and practices we use to build pipelines that are reliable, observable, and easy to maintain.

Sarah Mitchell·
AI Engineering9 min read

A Practical Guide to Integrating LLMs Into Your Product

LLMs are powerful but tricky to deploy well. Here's what we've learned about building reliable, cost-effective AI features that actually solve user problems.

Sarah Mitchell·
Cloud Engineering8 min read

Cloud Cost Optimization: A No-Nonsense Guide for Engineering Teams

Most companies overspend on cloud by 30-40%. Here are the strategies that actually move the needle — from quick wins to architectural changes.

James Rodriguez·