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Serving, containers, and resources · Lesson 14 of 17 · 5 min

Read readiness evidence

Readiness should cover the dependencies needed for useful work. A process can listen on a port while a required index or model remains unavailable.

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learner@clairosSimulated AI Ops lab
learner@clairos:~ $
↑ history · Tab complete · Ctrl+C cancel · Esc, Tab to leaveExit 0

Understand the pattern

Readiness should cover the dependencies needed for useful work. A process can listen on a port while a required index or model remains unavailable.

Interpret the evidence

Keep the service unready until the required index is usable.

A tempting mistake

An open port proves every dependency is ready.

All names, measurements, prices, versions, and thresholds in this exercise are fictional training data. The evidence supports this bounded scenario, not a claim about a live provider.

Worked example and expected result
$ cat /opt/ai-lab/cases/aiops-serving-resources-014.json
{
  "fixture": "Fictional training data; not a live measurement.",
  "port_open": true,
  "model_loaded": true,
  "required_index_ready": false
}

Exit status: 0. The command completed successfully in the training fixture.

$ jq .required_index_ready /opt/ai-lab/cases/aiops-serving-resources-014.json
false

Exit status: 0. The command completed successfully in the training fixture.

$ printf '%s\n' 'hold-readiness' > /home/learner/lab/aiops-serving-resources-014-decision.txt
(no output; exit 0)

Exit status: 0. The command completed successfully in the training fixture.

Try a variation

Name the assumption that would have to change for “hold-readiness” to stop being the justified action. Do not silently replace missing evidence with a guess.

Explain it

What does the evidence in “Read readiness evidence” justify?

Apply it elsewhere

A colleague concludes: “An open port proves every dependency is ready.” What should you do?

Keep the momentum.

Complete the lab, then explain and apply the pattern.

Next: Inspect service dependenciesTry an incident drill

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Keep learning

  1. 01Match model memory to GPUServing memory includes weights, cache and working buffers. Compare their combined demand with available memory, not only the artifact size.Practice
  2. 02Inspect service dependenciesDependency checks identify what a service needs to work. Prefer repairing the failing dependency over restarting healthy callers without evidence.Practice
  3. 03Prepare a rollout reviewA rollout review combines the diff, compatibility, capacity, readiness and rollback. Explicitly record untested conditions rather than converting them into a pass.Practice