The real cost of microservices: what nobody tells you before you commit
Distributed systems complexity, debugging hell, and when a monolith is genuinely the better choice.
Engineering insights
Technical deep-dives, architecture decisions, lessons from the field, and honest takes on the state of software development.
After hitting serious performance walls on a client's analytics dashboard, we made a controversial call: write raw SQL for all aggregation queries. Here's what we learned six months later.
Distributed systems complexity, debugging hell, and when a monolith is genuinely the better choice.
Chunking strategies, retrieval tuning, hallucination mitigation, and why evals matter more than the model you pick.
A comparison based on real projects we've shipped in both — performance, developer experience, and long-term maintainability.
The practical checklist we've refined over 150+ deployments — from secret scanning to dependency audits to header hardening.
Right-sizing, reserved instances, S3 lifecycle policies, and the five changes that made the biggest difference on client accounts.
Shared tokens, component versioning, and the governance model that lets teams move fast without diverging.