Commentary

Nate’s take on AI in production, reliability metrics, and how engineering teams work.

Check market definitions, forecast periods, and growth arithmetic before turning a market estimate into an operational investment case.

April 1, 20253 min read

Connect an SLO’s allowance to planning and release behavior, with explicit ownership, exceptions, and treatment of measurement gaps.

March 30, 20253 min read

Design incident channels, bot actions, evidence links, and a fallback path that still works when the chat system is unavailable.

March 25, 20253 min read

Compare detection, correlation, investigation, and automation using your incidents, review costs, and failure paths.

March 24, 20253 min read

Locate the delay, choose a bounded intervention, and measure recovery quality alongside elapsed time.

March 23, 20254 min read

Use language-model assistance for evidence review, draft communication, and practice, with a clear boundary around production decisions.

March 20, 20253 min read

Use models for test suggestions and change analysis while keeping artifact identity, promotion rules, and rollback checks enforceable.

March 19, 20253 min read

Understand where detection, correlation, forecasting, and language models can help, and the operational work each introduces.

March 18, 20253 min read

Make a useful AI request without assuming that tool approval, anonymization, or a training opt-out settles every data-handling question.

January 8, 20253 min read

Separate incident coordination from mitigation authority, compare competing actions, and use a worksheet that preserves decisions and verification.

October 16, 20235 min read

Define who does the work, who decides, and who accepts risk so ownership remains useful during incidents and follow-up.

October 7, 20233 min read

Understand the encoder, latent distribution, training objective, and why reconstruction error is evidence to evaluate rather than a diagnosis.

October 6, 20234 min read