Incident response and capstones · Lesson 10 of 12 · 7 min

Build a complete evidence bundle

An incident bundle must connect the symptom, versions, traces, case results and action. Keep sensitive raw data out of routine shared artifacts.

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learner@clairos:~ $

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Your objectives

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1
Read the case evidence
Read /opt/ai-lab/cases/aiops-incidents-capstones-010.json. Separate the recorded facts from your assumptions.
Hint & worked example
An incident bundle must connect the symptom, versions, traces, case results and action. Keep sensitive raw data out of routine shared artifacts.
The complete case JSON is read successfully.
```
cat /opt/ai-lab/cases/aiops-incidents-capstones-010.json
```
Common mistake to avoid: Three files are enough even when the chosen action is undocumented.
2
Isolate the deciding signal
Select the decision_saved field from the case JSON. What does it establish—and what does it not establish?
Hint & worked example
Add the missing decision and its rationale before handing off the bundle.
A successful JSON query isolates decision_saved.
```
jq .decision_saved /opt/ai-lab/cases/aiops-incidents-capstones-010.json
```
Common mistake to avoid: Using a different case or an unrelated signal as the justification.
3
Record your operational decision
Choose the justified code: complete-decision-record, change-without-evidence, or ignore-the-signal. Save that one code followed by a newline in /home/learner/lab/aiops-incidents-capstones-010-decision.txt.
Hint & worked example
Add the missing decision and its rationale before handing off the bundle.
The decision artifact contains the correct code, not just a matching command in history.
```
printf '%s\n' 'complete-decision-record' > /home/learner/lab/aiops-incidents-capstones-010-decision.txt
```
Common mistake to avoid: Three files are enough even when the chosen action is undocumented.

Understand the pattern

An incident bundle must connect the symptom, versions, traces, case results and action. Keep sensitive raw data out of routine shared artifacts.

Interpret the evidence

Add the missing decision and its rationale before handing off the bundle.

A tempting mistake

Three files are enough even when the chosen action is undocumented.

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-incidents-capstones-010.json

{
  "fixture": "Fictional training data; not a live measurement.",
  "symptom_saved": true,
  "versions_saved": true,
  "trace_saved": true,
  "decision_saved": false
}

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

$ jq .decision_saved /opt/ai-lab/cases/aiops-incidents-capstones-010.json

false

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

$ printf '%s\n' 'complete-decision-record' > /home/learner/lab/aiops-incidents-capstones-010-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 “complete-decision-record” to stop being the justified action. Do not silently replace missing evidence with a guess.

Explain it

What does the evidence in “Build a complete evidence bundle” justify?Add the missing decision and its rationale before handing off the bundle.Three files are enough even when the chosen action is undocumented.Make the change now and gather the missing evidence afterward.

Apply it elsewhere

A colleague concludes: “Three files are enough even when the chosen action is undocumented.” What should you do?Accept it because the training command completed.Treat this fixture as a live measurement.Reject that conclusion; return to the case evidence and its stated limits.

Keep the momentum.

Complete the lab, then explain and apply the pattern.

Next: Write an incident review Try an incident drill

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Keep learning

Case methodology: evidence, limits, decision