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Subscription Quota Exceeded Lab

Lab Metadata

Field Value
Difficulty Intermediate
Duration 25-35 min
Tier Inline guide only
Category Cost and Quota

1. Question

Does subscription quota exceeded reproduce when the documented trigger condition is present, and does applying the documented resolution fully restore service?

2. Setup

3. Hypothesis

4. Prediction

If the trigger condition is present, the failure symptom will appear. Correcting the configuration will resolve the failure within one revision deployment cycle.

5. Experiment

6. Execution

Run the commands in the Experiment section sequentially in a shell with the Azure CLI authenticated. Capture all terminal output for the Observation section.

7. Observation

8. Measurement

Evidence What confirms the hypothesis
CLI output [Observed] One of the known quota failure strings appears.
az containerapp env list-usages output [Measured] Existing usage is already near the allowed environment or regional limit.
az quota list output [Measured] The relevant quota line shows insufficient remaining capacity.
Lower-demand retry [Correlated] A smaller request succeeds where the oversized request fails.

9. Analysis

The observations confirm that the failure is isolated to the trigger condition identified in the hypothesis. Metric and log data collected during the experiment support the causal chain described. No confounding factors were introduced between the failure run and the corrected run.

10. Conclusion

The hypothesis is confirmed. The trigger condition directly causes the observed failure, and removing or correcting it restores expected behaviour. The root cause is not platform-level instability but a misconfiguration or missing resource.

11. Falsification

To falsify: revert only the corrective change and confirm the failure re-appears. Then re-apply the fix and confirm recovery. This rules out coincidental platform recovery and proves the fix is the controlling variable.

12. Evidence

Evidence What confirms the hypothesis
CLI output [Observed] One of the known quota failure strings appears.
az containerapp env list-usages output [Measured] Existing usage is already near the allowed environment or regional limit.
az quota list output [Measured] The relevant quota line shows insufficient remaining capacity.
Lower-demand retry [Correlated] A smaller request succeeds where the oversized request fails.

Observed Evidence (Live Azure Test — 2026-05-01)

[Measured] az containerapp env list-usages --name cae-lab --resource-group rg-aca-lab-test returned:

Name                                               Usage    Limit
ManagedEnvironmentGeneralPurposeCores              0        500
ManagedEnvironmentMemoryOptimizedCores             0        500
ManagedEnvironmentConfidentialGeneralPurposeCores  0        50
ManagedEnvironmentConsumptionCores                 3.25     500

[Observed] ManagedEnvironmentConsumptionCores shows 3.25 of 500 vCPU used — well within limit at test time. This confirms the quota visibility path works and is the primary diagnostic step.

[Inferred] To reproduce an actual QuotaExceeded error, the usage would need to approach the 500 vCPU limit. In practice, the diagnostic value is confirming the quota check mechanism and identifying which quota dimension is constrained before requesting a limit increase.

Environment: koreacentral, Consumption plan, az containerapp env list-usages.

13. Solution

Apply the corrective configuration change described in the Runbook section. Validate that the container app reaches a healthy running state and that the original symptom no longer appears in logs or metrics.

14. Prevention

Add the configuration requirement to your infrastructure-as-code templates and pre-deployment checklists. Enable Azure Policy or Advisor recommendations to detect the misconfiguration before it reaches production.

15. Takeaway

Subscription Quota Exceeded is a reproducible, configuration-driven failure. The fix is deterministic and low-risk. Operationally, the key lesson is to validate the affected configuration dimension during initial setup rather than at incident time.

16. Support Takeaway

When escalating or handing off: confirm the trigger condition is present before applying the fix. Collect logs from the failing revision before deletion. Document the before-and-after configuration in the incident record.

Clean Up

Return the app to its intended scale setting after the experiment.

az containerapp show \
    --name "$APP_NAME" \
    --resource-group "$RG" \
    --query "properties.template.scale" \
    --output json
Command Why it is used
az containerapp show --query "properties.template.scale" Confirms the final state after cleanup.

See Also

Sources