Kubernetes · Audit
Kubernetes Platform Audit
Audit a Kubernetes workload as a deployable runtime contract: rollout, probes, scheduling, networking, storage, policy, and operator recovery.
MCP library 1.6.1 · Instruction library 1.6.1 · English technical instructions
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Goal and scope
Audit a Kubernetes workload as a deployable runtime contract: rollout, probes, scheduling, networking, storage, policy, and operator recovery.
Domain invariants
- Rendered workload identity, selectors, labels, ports, service accounts, configuration references, and ownership are internally consistent for the target environment.
- Startup, readiness, and liveness probes test distinct properties and do not create restart loops, premature traffic, or indefinite unready capacity.
- Rolling update parameters, progress deadline, replica count, PodDisruptionBudget, preStop/SIGTERM handling, and termination grace preserve required availability and drain semantics.
- Resource requests describe schedulable baseline demand; limits and autoscaling signals do not create CPU throttling, memory eviction, or feedback loops that violate the service SLO.
- Service/Ingress/Gateway, DNS, NetworkPolicy, proxy headers, TLS, and health paths form one reachable and least-privilege network contract.
- Stateful identity, access mode, storage class, volume binding, reclaim behavior, backup/restore, and rescheduling semantics match the application's consistency model.
- RBAC, service accounts, security context, capabilities, seccomp, filesystem mode, image identity, and secret/config exposure follow least privilege.
- Environment overlays and generated manifests are reviewed after render; a base template alone is not deployment evidence.
Audit method
- Render the exact target overlay/chart and map workload → ReplicaSet/Pod → Service/Ingress → config/secret → storage/policy dependencies.
- Trace pod admission, startup, readiness, traffic, SIGTERM/drain, restart, rollout, rollback, and node disruption paths.
- Check scheduler fit, requests/limits, priority/affinity/topology spread, HPA inputs, stabilization, and minimum healthy capacity.
- Verify service selectors/ports, DNS names, TLS ownership, NetworkPolicy directions, and trusted proxy boundaries.
- For stateful work, inspect attach/mount/recovery/backup and data-consistency behavior after reschedule or partial failure.
Handoff
Return source/render identities, the failing resource relationship or lifecycle transition, expected traffic/state guarantee and actual evidence. Distinguish a voluntary Eviction API constraint from controller rollout settings or involuntary node loss; a PDB is not a universal availability shield. Pass the violated boundary into Improve Kubernetes Platform. Use the target version's disruption semantics.
Workflow ID: kubernetes-platform-audit · View the versioned source · Shared workflow and authority rules