Apply KISS to the configurations your responders must understand
Use operational state, visible defaults, and reversible transitions to evaluate complexity without discarding necessary capabilities.
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Use operational state, visible defaults, and reversible transitions to evaluate complexity without discarding necessary capabilities.
Counters, gauges, and distributions answer different questions. Build metrics that preserve scope, denominators, and the evidence behind an incident.
Connect an AIOps investment to a measurable workflow, its full operating cost, and the evidence needed to expand or stop the trial.
Define coverage, escalation, training, and recovery time before assigning the calendar. Review workload as well as shift counts.
Give teams clear service ownership, decision authority, and capacity to act on reliability evidence before the next incident.
Build a ticket-routing evaluation around real ownership, uncertain cases, and correction cost. Start with an honest baseline before adding a model.
Choose an SLI, target, and evaluation window that reflect user experience, then agree on the decisions an SLO result will change.
Understand spans, parent-child relationships, retries, and missing evidence so traces support a careful diagnosis.
Choose a small set of reliability indicators with clear definitions, useful distributions, and an explicit decision attached to each.