Articles

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Use a curated notebook to compare runbooks and incident evidence, while keeping citations, freshness, and operational authority in view.

February 12, 20264 min read

When inference slows without obvious application errors, test physical constraints alongside queueing, workload changes, and software regressions.

February 10, 20264 min read

Test evidence retrieval, long-session consistency, tool boundaries, and cost before letting a model influence production changes.

February 6, 20264 min read

A design guide for an incident assistant that handles duplicate events, partial failures, and reviewed AI summaries across tools.

April 6, 20254 min read

Choose representative traffic, define promotion criteria, and verify rollback compatibility before expanding a release.

October 6, 20234 min read

Use consistent onset and discovery timestamps, include customer-reported incidents, and interpret the average with its sample and uncertainty.

October 4, 20234 min read

Counters, gauges, and distributions answer different questions. Build metrics that preserve scope, denominators, and the evidence behind an incident.

September 30, 20233 min read

Use Python logging to capture useful context without swallowing errors, duplicating exceptions, or exposing sensitive data.

September 30, 20233 min read

Validate the source data, preserve useful denominators, and distinguish a failed collection from a real zero before aggregating metrics.

September 30, 20234 min read

Design logs around useful events, searchable context, and a collection path whose failures are visible.

September 30, 20233 min read

Use AIOps to connect operational evidence, then test whether it improves investigation without hiding missing signals or unsupported conclusions.

September 28, 20234 min read

Start tracing with a customer-critical path, then test propagation, sampling, and whether the trace supports a real investigation.

September 28, 20233 min read