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83 results for “Improve a postmortem” · 61–72
Commentary · Observability ·
Grouping can shorten the incident queue while hiding a second failure. Following a replay past the first mitigation reveals whether that failure stays visible.
Read commentary: What AIOps alert correlation can hideGuide · SLOs & reliability ·
An error-budget hold needs a route for an urgent repair. Fresh measurements, artifact-specific exceptions and recovery criteria determine how that route works.
Read guide: Release gates that hold up under incident pressureExplainer · Platform engineering ·
Model loading and checkpoint recovery stress storage differently. Reference configurations help explain which workload and failure conditions their results cover.
Read explainer: AI storage and recovery in NetApp and NVIDIA architecturesExplainer · AI in production ·
The dated market estimate has a definition, forecast period and growth calculation. Those details explain how it can inform a local investment discussion.
Read explainer: What the AIOps market forecast measuresGuide · SLOs & reliability ·
Worked request and time-based budgets accompany an SLO record, release-policy template and exception log, keeping each calculation in its original units.
Read guide: Error-budget template: calculations and release-policy fieldsExplainer · AI in production ·
Runbook comparisons, timelines and draft updates provide checkable inputs for assistance. Incident closure also needs evidence about service recovery and unfinished work.
Read explainer: Using ChatGPT for SRE analysis and writingGuide · Platform engineering ·
A generated test can share the code’s mistaken assumption. Artifact identity and checks of the affected behavior explain what the passing result establishes.
Read guide: Where AI-generated tests fit in a release pipelineExplainer · AI in production ·
Anomaly scores, correlated events and generated summaries provide different kinds of help. Each adds its own review, data and maintenance work.
Read explainer: What AIOps changes in the SRE workflowGuide · AI in production ·
An approved summary task can take a new data path when a connector is added. Account controls, retention and output sharing apply at different points along that path.
Read guide: Where workplace ChatGPT data goesGuide · Platform engineering ·
Traffic assignment determines which behavior reaches a canary. Promotion also depends on the baseline, service objectives and state left behind by rollback.
Read guide: What a canary deployment actually testsExplainer · AI in production ·
GANs learn to resemble training data. A cascading-timeout example explains what generated traces contribute to testing and what a controlled fixture supplies.
Read explainer: How GANs generate synthetic telemetryExplainer · Incident response ·
Worked incident records explain the MTTD formula, uncertain onset times and the effect of including failures first reported by customers.
Read explainer: Calculating mean time to detect from incident records