cloud-infrastructure-testing
Skill1 starsChanged 52 days agoMITView on GitHub
Use when testing cloud/infrastructure concerns — Docker/Kubernetes deployments, serverless functions, managed-service integration (S3, queues, API Gateway), disaster recovery/failover, and infra-as-code correctness on AWS/Azure/GCP.
1 other project uses a version of this, 1 of them edited.
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- mejbaurbahar/fagunedited, first seen Jul 5, 2026
Other versions1 project uses a version of this.
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- mejbaurbahar/fagun★ 199% same
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How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository98 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- 42crunch-api-security-testingSkill
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The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
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Very specific
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- Common
- Distinctive
- Very specific
- Distinctive: line 37
Multi-region: if the architecture claims multi-region resilience, test with one region actually unavailable (not just theoretically) to …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Cloud & Infrastructure Testing
Scope guardrail
Infra testing can touch shared/billable resources and, in the worst case, production-adjacent systems. Confirm target environment (sandbox/staging vs anything shared) before running anything with side effects (spinning up resources, triggering autoscaling, simulating failover) — see the general safety guidance already established for destructive actions.
Containers & Kubernetes
- Docker: image builds reproducibly, no secrets baked into layers (
docker history, or scan with Trivy — see [[security-testing]]), container starts and passes its own healthcheck, resource limits set (a container with no memory limit can OOM the node, not just itself). - Kubernetes: deployment rolls out without downtime (
kubectl rollout status), readiness/liveness probes actually reflect app health (a probe that always returns 200 defeats the point), resource requests/limits sized from real usage not guesses, HPA (autoscaling) triggers and scales back down correctly under synthetic load, pod disruption budgets don't accidentally block legitimate node maintenance. - ConfigMaps/Secrets: changes propagate to running pods as expected (some require a rolling restart — verify the app's actual reload behavior rather than assuming).
Serverless (Lambda / Cloud Functions)
- Cold start latency — measure it explicitly, it's a real UX/SLA factor invisible in local dev.
- Timeout and memory limits — test near the configured ceiling, not just the happy path with plenty of headroom.
- Concurrency limits — what happens when the function hits its concurrency cap: throttled invocations queued, dropped, or erroring? Confirm it matches the documented/expected behavior for the trigger type (sync API Gateway vs async event source behave differently on throttle).
- Idempotency — many event sources (SQS, S3 event notifications) can redeliver; function must handle duplicate invocation safely, same as event-driven testing in [[contract-testing]].
- IAM least-privilege — function's execution role should only have the permissions it actually uses; test by confirming it cannot perform actions outside its declared scope (a broad wildcard role is a security finding, not just tidiness — see [[security-testing]]).
Managed services integration
- S3/object storage: eventual consistency edge cases (though most providers are now strongly consistent — verify the specific provider/region's current guarantee rather than assuming from older docs), lifecycle/expiry rules actually applied, presigned URL expiry enforced.
- Queues (SQS/PubSub/RabbitMQ): visibility timeout tuned so a slow consumer doesn't cause duplicate processing; DLQ configured and monitored — see [[contract-testing]] for consumer-side idempotency testing.
- API Gateway: throttling/rate limits match the documented tier, request/response transformation doesn't silently drop fields, auth integration (JWT authorizer, IAM auth) actually rejects invalid tokens rather than passing through on misconfiguration.
- CDN (CloudFront etc.): cache invalidation actually propagates, cache-key configuration doesn't leak user-specific content across users (a classic CDN misconfiguration bug — check if personalized responses are accidentally cached and served cross-user).
Resilience: disaster recovery & failover
- Failover test: kill the primary (DB replica promotion, AZ failure simulation) and measure actual recovery time against the documented RTO/RPO — don't trust the runbook until you've run it.
- Backup restoration: a backup that has never been restored is unverified — periodically actually restore one into an isolated environment and confirm data integrity.
- Multi-region: if the architecture claims multi-region resilience, test with one region actually unavailable (not just theoretically) to confirm traffic shifts and data stays consistent.
Infra-as-code correctness
terraform plan/pulumi previewreviewed for unintended resource replacement (a change that looks additive but forces a destroy+recreate can cause an outage) before apply.- Drift detection — infra manually changed outside IaC — caught and reconciled, not silently diverging.
Cross-link
For deliberate failure-injection testing beyond infra-level failover, see [[chaos-resilience-testing]]. For monitoring/alerting on infra health, see [[observability-testing]].
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