\n\nQuick Guide: Declarative YAML manifests for Kubernetes workloads. Use
\napps/v1Deployments with resource requests/limits, health probes, and Pod Security Standards (restricted profile). Helm for templated multi-environment releases. Kustomize for patch-based overlays without templating. Always setsecurityContext(runAsNonRoot, drop ALL capabilities, readOnlyRootFilesystem), resource requests/limits on every container, and liveness/readiness probes on every pod.
<critical_requirements>
\n\n\nAll code must follow project conventions in CLAUDE.md (kebab-case, named exports, import ordering,
\nimport type, named constants)
(You MUST set resource requests AND limits on every container -- pods without requests are unschedulable under resource pressure and pods without limits can OOM-kill neighbors)
\n(You MUST set securityContext with runAsNonRoot: true, allowPrivilegeEscalation: false, drop ALL capabilities, and readOnlyRootFilesystem: true on every container)
\n(You MUST define both liveness and readiness probes -- without readiness probes, traffic reaches unready pods; without liveness probes, hung processes are never restarted)
\n(You MUST use the current stable apiVersion for each resource -- apps/v1 for Deployments, networking.k8s.io/v1 for Ingress, autoscaling/v2 for HPA, policy/v1 for PDB)
\n</critical_requirements>
\nAuto-detection: Kubernetes, kubectl, k8s, Deployment, Service, Ingress, ConfigMap, Secret, HPA, HorizontalPodAutoscaler, Helm, helm chart, Kustomize, kustomization, RBAC, Role, ClusterRole, PodDisruptionBudget, NetworkPolicy, Pod, StatefulSet, DaemonSet, CronJob, Job, PersistentVolumeClaim, apiVersion, kind, metadata, spec
\nWhen to use:
\nWhen NOT to use:
\nKey patterns covered:
\n<decision_framework>
\nDo you distribute charts to external teams?\n +-- YES --> Helm (package management, versioned releases)\n +-- NO --> Do you need Go templating / conditionals?\n +-- YES --> Helm (parameterized templates)\n +-- NO --> Do you prefer plain YAML with patches?\n +-- YES --> Kustomize (built into kubectl, no templating)\n +-- NO --> Either works. Choose team familiarity.\nWhat is the workload?\n +-- Stateless HTTP/API server? --> Deployment\n +-- Needs stable network identity / ordered startup? --> StatefulSet\n +-- Must run on every node (logging, monitoring)? --> DaemonSet\n +-- One-time batch job? --> Job\n +-- Scheduled recurring job? --> CronJob\nWho needs to reach this service?\n +-- Other pods in the cluster? --> ClusterIP (default)\n +-- External traffic via HTTP/HTTPS? --> ClusterIP + Ingress\n +-- External TCP/UDP without Ingress? --> LoadBalancer\n +-- Direct node access (dev/test)? --> NodePort\n +-- StatefulSet pod discovery? --> Headless (clusterIP: None)\nWhat QoS class do you need?\n +-- Guaranteed (critical workloads) --> requests == limits\n +-- Burstable (typical workloads) --> requests < limits\n +-- BestEffort (batch, non-critical) --> no requests/limits (NOT recommended for production)\n</decision_framework>
\n<red_flags>
\nHigh Priority Issues:
\nresources.requests and resources.limits on containers -- unschedulable under pressure, can OOM-kill neighborssecurityContext.runAsNonRoot: true) -- container escape gives host root access:latest image tag -- non-deterministic deployments, impossible to roll back to known versionextensions/v1beta1, autoscaling/v2beta2) -- will fail on modern clustersverbs: [\"*\"], resources: [\"*\"]) -- violates least privilege, security riskMedium Priority Issues:
\nautomountServiceAccountToken not set to false -- every pod gets a token that can access the API serverPodDisruptionBudget -- cluster upgrades or node drains can terminate all replicas simultaneouslyNetworkPolicy -- all pods can communicate with all other pods by defaultspec.targetCPUUtilizationPercentage in HPA -- deprecated in autoscaling/v2, use metrics arrayrevisionHistoryLimit on Deployments -- unlimited old ReplicaSets consume etcd storageGotchas & Edge Cases:
\nreadOnlyRootFilesystem: true breaks apps that write to /tmp -- add an emptyDir volume mount for /tmprequests.memory too low causes OOMKill; limits.cpu too low causes CPU throttling (latency spikes, not kills)pathType: Prefix matches /api AND /api-docs -- use pathType: Exact for precise matching or add trailing /replicas in Deployment conflict -- remove spec.replicas from manifests when HPA is activekubectl apply vs kubectl create -- apply is declarative and idempotent; create fails if resource existscommonLabels adds labels to selectors too -- changing them on existing Deployments breaks selector immutabilitylookup function doesn't work during helm template (no cluster access) -- only works during helm install/upgrade</red_flags>
\n<critical_reminders>
\n\n\nAll code must follow project conventions in CLAUDE.md (kebab-case, named exports, import ordering,
\nimport type, named constants)
(You MUST set resource requests AND limits on every container -- pods without requests are unschedulable under resource pressure and pods without limits can OOM-kill neighbors)
\n(You MUST set securityContext with runAsNonRoot: true, allowPrivilegeEscalation: false, drop ALL capabilities, and readOnlyRootFilesystem: true on every container)
\n(You MUST define both liveness and readiness probes -- without readiness probes, traffic reaches unready pods; without liveness probes, hung processes are never restarted)
\n(You MUST use the current stable apiVersion for each resource -- apps/v1 for Deployments, networking.k8s.io/v1 for Ingress, autoscaling/v2 for HPA, policy/v1 for PDB)
\nFailure to follow these rules will produce insecure pods with root access, unschedulable workloads, unmonitored health, and manifests that fail on modern clusters.
\n</critical_reminders>
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