AIOps
What AIOps alert correlation can hide
Evaluate AIOps grouping by detection coverage, investigation effort, and recoverable mistakes, not alert reduction alone.
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AIOps
What MTTD misses
Separate detection from response and find delays that an improving average can conceal.
How-To
How to evaluate incident-response agents
Build repeatable cases and check recovery independently, with a runnable Python grader.
AIOps
Evaluate AIOps tools with the work your responders actually do
Compare detection, correlation, investigation, and automation using your incidents, review costs, and failure paths.
AIOps
AIOps anomaly detection: unusual does not always mean actionable
Choose a baseline, evaluate false positives and missed incidents, and connect anomalies to an operational decision before paging on them.
News
Splunk agent observability: follow the work, then the bill
Splunk’s September release connects agent evaluation and cost monitoring. The useful test is whether a responder can trace spending back to an outcome.
AIOps
The operational cost of AI tokens
Account for context limits, retries, latency, and the work behind a useful result.
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.
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.