Splunk agent observability: follow the summary that needed fixing
A rejected incident summary makes a useful Splunk trial: follow its attempts, charges and corrections to learn what one accepted task really took.
Observability
Understand what your systems are telling you, and what they are not.
NotebookLM: when two service instructions disagree
One document says restart; another says preserve the process. Use a cited comparison to find the condition that explains the difference, then check whether it applies.
The GPU is still there. Why are the answers taking longer?
Unchanged code can still leave people waiting. Follow a slowing GPU pool from its operating limits to the requests it can finish, and the traffic it can safely take back.
Testing Opus 4.6 with the note that rules out rollback
The assistant finds the likely cause. An earlier migration note changes what can happen next. Use that conflict to test whether Opus 4.6 delivers advice an engineer can actually use.
The event arrived twice. Did the ticket get created once?
Recognizing a repeated incident event does not establish what Slack or Jira did with the first one. This reference design tracks arrivals and destination results separately.
Make the canary test the change before sending more traffic
A quiet canary can still miss the operation that changed. Compare meaningful traffic, check service health and test withdrawal before expanding.
How to calculate mean time to detect from incident records
Calculate MTTD from three incident records. Keep customer reports, uncertain starts and the number of timed incidents visible.
Why the latency chart can improve while more customers time out
A faster latency line can lose the requests that timed out. Follow the counts, gauges and distributions back to the work they measured.
When a Python job logs an error and the scheduler sees success
A runnable Python example gives the scheduler a failure status and leaves one traceback for the person who has to find out what happened.
Add the counts before you divide
Two services send their counts. A short Python program finds the combined error rate and shows where the collector still has work to do.
What an empty log search can tell you
A worker restarts mid-job. To decide whether to retry, the responder needs to know what the worker recorded and what made it into search.
What an AIOps assistant can add to an investigation
A slow order, a release and a dependency outage show where AI-assisted observability helps, and what the responder still needs to establish.