A busy Linux CPU does not explain every slow page
Run a bounded ten-second workload, compare the guest before and after, and check whether the practice page slows down at all.
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Run a bounded ten-second workload, compare the guest before and after, and check whether the practice page slows down at all.
A running server can return HTTP 200 without returning your page. Introduce one reversible fault, follow the response and repair the request that failed.
Count the correct reports people can download on time, keeping missing outcomes visible and giving every accepted request its full deadline.
At a million requests, moving from 99% to 99.9% allows 9,000 fewer missed reports. Choose the reliability work and customer promise behind that number.
Forty exports of margin looks different after a repaired fault than during a growing failure. Connect the count, its pace and the recovery work to release decisions.
A growing queue is a clue, not a complete message. Help the next responder see who is waiting, what to compare first and how to recognize recovery.
A runbook can be correct and still stop at a login screen. Rehearse one delayed export to find the access, decisions and people a new responder will need.
Forty retries a week look ready to automate. Follow the check before the click, then see whether a tool would remove work or simply move it.
A new worker can finish a hundred reports without touching the code you changed. Choose work that answers the release question, then plan how to stop and recover.
A five-minute slowdown can leave ten more minutes of work in the queue. Follow the exports to see how retries, limits and recovery affect the wait.
A report can be finished even when its caller sees a timeout. Follow one lost reply from duplicate work to a repair another engineer can test.
Retry repairs, extra workers and less manual checking all help in different ways. A useful investment proposal makes the tradeoff visible, including what would change your mind.