Engineering insights for the production reality.
Practical guidance on AI, cloud and software decisions, written for teams turning complex systems into dependable outcomes.
Ideas for the production reality.
Field notes for teams making consequential decisions about systems, delivery and AI.
Platform engineering is a product discipline
A practical framework for deciding what belongs in an internal platform—and what does not.
Read article ↗Designing RAG systems for evidence, not demos
Retrieval quality, evaluation and access control are the real architecture of useful RAG.
Read article ↗Cloud cost is an architecture signal
How teams can connect FinOps decisions to reliability, ownership and product demand.
Read article ↗Taking AI agents from prototype to production
The control loops, evaluations and operational boundaries that turn an agent demo into dependable software.
Read article ↗RAG vs fine-tuning: choosing the right approach
A decision framework based on knowledge freshness, behavior, evidence and operating cost.
Read article ↗MCP and the future of AI integrations
How standardized tool and context interfaces change the way teams connect AI to business systems.
Read article ↗Designing highly available AWS architectures
Design availability around business tolerance, failure domains and recovery evidence—not diagrams alone.
Read article ↗AWS vs Azure vs GCP for modern applications
Choose a cloud by organizational fit, data gravity, operating model and exit cost.
Read article ↗Kubernetes production architecture
A pragmatic guide to cluster boundaries, deployment safety, observability and platform ownership.
Read article ↗Terraform practices for infrastructure teams
Module boundaries, state strategy and review patterns that keep infrastructure change understandable.
Read article ↗Building reliable CI/CD pipelines
Delivery pipelines as a safety system for repeatable, observable change.
Read article ↗Microservices vs modular monolith
How team topology, change boundaries and operational maturity should shape system decomposition.
Read article ↗Turn better engineering insight into your next move.
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