How-To
What did the postmortem fix prove?
Separate a completed task from evidence that the underlying risk was reduced.
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AIOps
The operational cost of AI tokens
Account for context limits, retries, latency, and the work behind a useful result.
How-To
Use the 5 Whys without forcing an incident into one cause
Follow evidence through technical failure and incident response, then test whether the proposed correction changes the mechanism.
AIOps
GPU capacity depends on power and cooling
When inference slows without obvious application errors, test physical constraints alongside queueing, workload changes, and software regressions.
AIOps
From AIOps signals to agent actions: design the handoff
Decide which workflow deserves an agent, where a fixed automation is sufficient, and how to measure the work left for responders.
AIOps
Sustainable on-call: make workload relief change the plan
Connect on-call interruptions, specialist demand, and recovery work to a concrete capacity decision using an on-call workload worksheet.
AIOps
Release gates that hold up under incident pressure
Turn reliability policy into a release decision with fresh evidence, limited exceptions, and a clear path to resuming normal changes.
SRE
Error-budget policy: agree on the decision before the outage
Connect an SLO’s allowance to planning and release behavior, with explicit ownership, exceptions, and treatment of measurement gaps.
SRE
Error-budget template: calculations and release-policy fields
Adapt a complete SLO record, worked budget examples, and an exception log without confusing bad requests with minutes of downtime.
How-To
Linux performance tuning starts with a bottleneck
Measure a representative workload, identify the limiting resource, and test one reversible change instead of applying a universal sysctl recipe.
AIOps
Use AIOps to shorten the part of incident response that is slow
Locate the delay, choose a bounded intervention, and measure recovery quality alongside elapsed time.
AIOps
AI in release engineering: improve evidence without weakening the gate
Use models for test suggestions and change analysis while keeping artifact identity, promotion rules, and rollback checks enforceable.