The Three Pillars Were Built for Humans
Metrics, logs, and traces were built for humans and cheap storage. AI inverts both assumptions, and the next maturity level is a deterministic replay sandbox.
Posts about devops
Browse 29 posts in this category
Five things your logs will never tell you
Logs, metrics, and traces are a lossy compression of production. Five things you can do with a traffic data lake that observability can't.
Anatomy of the AI Software Factory: The Context Layer
Explore the technical architecture of the AI Software Factory, focusing on tool convergence and the Unified Context Layer.
Conway's Law 2.0: The VP's Playbook
Learn how VPs of Engineering must adapt org charts, engineering roles, and performance metrics to lead in the era of the AI Software Factory.
Agile is dead. AI is the culprit.
Discover why AI coding agents are breaking Agile workflows and driving the shift to an intent-based AI Software Factory.
How a Marketing Intern Ended Up Running Claude in a Terminal
A marketing intern's journey from CMS drag-and-drop to running Claude in a terminal, and why validation still matters as AI speeds up development.
Beyond AI Vibes: Deterministic Foundations for Agentic Coding
AI coding adoption is high and trust is dropping. A testing pyramid for agents, plus reproducible production context that grounds AI in real behavior.
OpenTelemetry Trace Testing for CI Release Gates
Trace-based testing uses OpenTelemetry traces as replayable test input so CI catches production regressions before deploy, not after incident review.
When Your Observability Literally Stops Traffic
Observability tells you what failed—but not how to recreate it. Why reproducibility is the missing fourth pillar, and what that means for incident response.