Serving, containers, and resources · Lesson 7 of 17 · 8 min

List Kubernetes workloads

Pod readiness summarizes whether workloads can accept traffic under their probes. Running phase alone can coexist with zero ready containers.

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Your objectives

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1
Read the case evidence
Read /opt/ai-lab/cases/aiops-serving-resources-007.json. Separate the recorded facts from your assumptions.
Hint & worked example
Pod readiness summarizes whether workloads can accept traffic under their probes. Running phase alone can coexist with zero ready containers.
The complete case JSON is read successfully.
```
cat /opt/ai-lab/cases/aiops-serving-resources-007.json
```
Common mistake to avoid: Running phase overrides a failed readiness probe.
2
Isolate the deciding signal
Select the ready_containers field from the case JSON. What does it establish—and what does it not establish?
Hint & worked example
Inspect why the running pod has zero ready containers before directing traffic to it.
A successful JSON query isolates ready_containers.
```
jq .ready_containers /opt/ai-lab/cases/aiops-serving-resources-007.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: inspect-readiness-probe, change-without-evidence, or ignore-the-signal. Save that one code followed by a newline in /home/learner/lab/aiops-serving-resources-007-decision.txt.
Hint & worked example
Inspect why the running pod has zero ready containers before directing traffic to it.
The decision artifact contains the correct code, not just a matching command in history.
```
printf '%s\n' 'inspect-readiness-probe' > /home/learner/lab/aiops-serving-resources-007-decision.txt
```
Common mistake to avoid: Running phase overrides a failed readiness probe.

Understand the pattern

Pod readiness summarizes whether workloads can accept traffic under their probes. Running phase alone can coexist with zero ready containers.

Interpret the evidence

Inspect why the running pod has zero ready containers before directing traffic to it.

A tempting mistake

Running phase overrides a failed readiness probe.

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-007.json

{
  "fixture": "Fictional training data; not a live measurement.",
  "pod": "gateway-7d9",
  "phase": "Running",
  "ready_containers": 0,
  "total_containers": 1
}

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

$ jq .ready_containers /opt/ai-lab/cases/aiops-serving-resources-007.json

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

$ printf '%s\n' 'inspect-readiness-probe' > /home/learner/lab/aiops-serving-resources-007-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 “inspect-readiness-probe” to stop being the justified action. Do not silently replace missing evidence with a guess.

Explain it

What does the evidence in “List Kubernetes workloads” justify?Make the change now and gather the missing evidence afterward.Inspect why the running pod has zero ready containers before directing traffic to it.Running phase overrides a failed readiness probe.

Apply it elsewhere

A colleague concludes: “Running phase overrides a failed readiness probe.” What should you do?Reject that conclusion; return to the case evidence and its stated limits.Accept it because the training command completed.Treat this fixture as a live measurement.

Keep the momentum.

Complete the lab, then explain and apply the pattern.

Next: Describe a serving pod Try an incident drill

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Keep learning

Case methodology: evidence, limits, decision