GKE Storage Troubleshooting Skill
Use this skill to systematically diagnose and resolve persistent-storage
failures for workloads running on GKE — volume attach/mount errors, disk
performance and node storage pressure, volume expansion, storage-related
cluster/node-pool creation errors, and Cloud Storage FUSE memory issues. This
skill operates non-interactively and enforces a read-only diagnostics boundary
before proposing manifest or configuration corrections.
For routine storage provisioning and StorageClass/PVC authoring, use the
gke-storage skill instead. This skill focuses on failure diagnosis.
🔍 Diagnosis & Resolution Workflow
Step 0: Non-Interactive Context Discovery & Dry-Run Fallback
Parameter Extraction: Extract required context (project_id,
cluster_name, cluster_location, workload_name, workload_namespace,
pod_name, and the relevant pvc_name / pv_name / node_name)
non-interactively from the user prompt, active SETTINGS.md, or environment
defaults:
- Default
workload_namespace to default if omitted.
- Infer missing cluster parameters from the active environment (
kubectl config current-context or gcloud config get-value project).
Cluster Credentials & Fallback Mode:
- Attempt credential fetch:
gcloud container clusters get-credentials {cluster_name} --location {cluster_location} --project {project_id}.
- Fallback / Dry-Run Mode: If the cluster is unreachable,
non-existent, or live command execution fails (such as in sandboxed
evaluations, dry-run mode, or offline analysis):
- Limit retry attempts to avoid resource exhaustion and context
overflow.
- Immediately present the exact
kubectl / gcloud diagnostic
commands for the human operator to run.
- Synthesize the root-cause analysis and output the proposed GitOps
correction based on the reported symptoms.
Step 1: Classify the Storage Symptom
Gather the primary signals, then jump to the matching branch under Step 2
(Resolution) — you normally perform only the one branch that matches your
diagnosis, not all of them.
Diagnostic Commands:
kubectl describe pod {pod_name} -n {workload_namespace}
kubectl get pvc,pv -n {workload_namespace}
kubectl get events -n {workload_namespace} --sort-by='.metadata.creationTimestamp'
kubectl describe node {node_name}
- Pod stuck in
ContainerCreating with an attach/mount event → Volume
Attach & Mount Failures.
- Node-level slowness,
PLEG is not healthy, or StoragePressureDetected
events → Disk Performance & Node Storage Pressure.
- Cluster / node-pool creation or provisioning error → Storage
Provisioning & Creation Failures.
- A resized volume is not reflected inside the container → Volume
Expansion Not Reflecting in the Container.
- Cloud Storage FUSE Pod / sidecar OOM → Cloud Storage FUSE
Out-Of-Memory (OOM) Events.
Step 2: Resolution
Perform only the branch that matches your Step 1 diagnosis. These branches
are mutually exclusive alternatives, not sequential steps.
Volume Attach & Mount Failures
Error 400: Cannot attach RePD to an optimized VM: Regional persistent
disks are restricted from being used with memory-optimized or
compute-optimized machine types.
- If a regional PD is not a hard requirement, switch the workload to a
non-regional persistent disk StorageClass.
- If a regional PD is required, use taints and tolerations so that
Pods needing regional PDs are scheduled onto a node pool that does
not use optimized machine types.
Pods stay Pending / FailedScheduling after a node pool is moved to a
4th-generation (N4, N4A, N4D) machine series while the workload uses a
Persistent Disk StorageClass: N4/N4A/N4D machines do not support
Persistent Disk (they support Hyperdisk only), so a PVC bound to a pd-*
StorageClass cannot bind or schedule on those nodes. Events typically show
FailedScheduling with a volume node-affinity / topology conflict.
- Switch the workload to a Hyperdisk StorageClass (for example
type: hyperdisk-balanced) for the Gen4 node pool.
- For existing Persistent Disk volumes, migrate the data to a Hyperdisk
volume; the original PD cannot be attached to a Gen4 node.
- If the workload must keep Persistent Disk, keep it on a PD-capable
machine series (for example N2) via node selection. This is a
machine-type/disk-type incompatibility, not a capacity problem, so
increasing disk size or quota does not help.
Hyperdisk Pods become unschedulable when a compute class falls back across
VM generations (for example N4 priority, N2 fallback), or one StorageClass
must serve mixed generations: a single static disk type in the
StorageClass is not compatible with every machine series in the fallback
list, so Pods cannot bind their volume on the fallback nodes.
- Use automated disk type selection: set the StorageClass
parameters.type to dynamic with hyperdisk-type, pd-type, and
disk-type-preference, plus use-allowed-disk-topology: "true", so GKE
selects a compatible disk type per node and schedules Pods only onto
nodes that support it. One dynamic StorageClass can then span multiple
VM generations (requires the GKE versions noted in the docs).
Mount stops responding due to the fsGroup setting: A Pod configured
with a securityContext.fsGroup on a volume that contains a large number
of files makes the kubelet recursively change ownership on every file,
which can time out the mount. The symptom is:
Unable to attach or mount volumes for pod; skipping pod ... timed out waiting for the condition
Confirm by checking the Pod logs for a Setting volume ownership for ... and fsGroup set entry, then apply one of:
- Reduce the number of files in the volume.
- Set
securityContext.fsGroupChangePolicy: OnRootMismatch so ownership
is only changed when the top-level permissions do not match.
- Stop using the
fsGroup setting if it is not required.
Disk Performance & Node Storage Pressure
Poor disk performance (symptoms such as task dockerd:... blocked for more than 300 seconds, PLEG is not healthy, or slow fs: disk usage
scans): the node boot disk is shared across the OS, container images, the
overlay filesystem, and disk-backed emptyDir volumes, and performance is
shared across all disks of the same type on the node.
- This commonly affects nodes using standard persistent disks smaller
than 200 GB. Increase the disk size or switch to SSD, especially for
production.
- Enable Local SSD for ephemeral storage on node pools whose workloads
frequently use
emptyDir.
Slow disk operations cause Pod creation failures: on affected node
versions (GKE 1.18–1.23 before the fixed patch releases), the k8s_node container-runtime logs show failed to reserve container name ... is reserved for ... (containerd issue #4604).
- Mitigate with
restartPolicy: Always or OnFailure in the PodSpec, and
increase boot-disk IOPS (larger disk or a faster disk type).
- The permanent fix is containerd 1.6.0+; upgrade to a GKE version that
includes it.
StoragePressureDetected (high node storage pressure): node condition
StoragePressureRootFileSystem becomes True (for example, Disk /dev/nvme0n1 usage 89% exceeds threshold 85%), caused by excessive
emptyDir writes, large image pulls, or accumulating logs.
- Identify usage with
df -h on the affected node (focus on
/mnt/stateful_partition and ephemeral mounts).
- Remediate by using larger boot disks, adding Local SSDs for ephemeral
storage, setting appropriate
ephemeral-storage requests/limits, and
cleaning up unused files/images/logs.
Storage Provisioning & Creation Failures
The selected machine type ... has a fixed number of local SSD(s): the
Local SSD count specified in EphemeralStorageLocalSsdConfig /
LocalNvmeSsdBlockConfig does not match the fixed count included with the
machine type.
- Specify a Local SSD count that matches the machine type. For
third-generation machine series, omit the Local SSD
count flag and
the correct value is configured automatically.
Hyperdisk Storage Pools: cluster or node-pool creation fails with
ZONE_RESOURCE_POOL_EXHAUSTED (or similar Compute Engine resource errors):
the target zone lacks capacity for the requested Hyperdisk Balanced disks or
machine type.
- Select a new zone in the same region that has capacity and where
Hyperdisk Balanced Storage Pools are available. Because storage pools
are zonal, delete and recreate the pool in the new zone, then create
the cluster/node pool there.
Volume Expansion Not Reflecting in the Container
Volume expansion must always be driven through the PersistentVolumeClaim.
Editing the PersistentVolume directly can leave the container filesystem on the
old size.
Keep the modified PersistentVolume object as it is.
Edit the PersistentVolumeClaim and set spec.resources.requests.storage
to a value higher than the current PersistentVolume size.
The kubelet then resizes the PV, PVC, and container filesystem
automatically. Verify inside the Pod:
kubectl exec {pod_name} -n {workload_namespace} -- df -h
Cloud Storage FUSE Out-Of-Memory (OOM) Events
If Pods experience high memory use or OOM kills related to the Cloud Storage
FUSE CSI driver:
Enable CPU/memory snapshots by configuring Cloud Profiler on the Cloud
Storage FUSE CSI driver sidecar container.
Locate the OOM event in Cloud Logging, filtering by Pod:
jsonPayload.involvedObject.name="{pod_name}"
jsonPayload.involvedObject.kind="Pod"
OOMKilled
If the sidecar mounter or GCSFuse process OOMs, the Pod name is the workload
Pod's name; if the node driver OOMs, it is gcsfusecsi-node-*.
Extract the Pod UID (jsonPayload.involvedObject.uid) and timestamp, then
analyze the matching snapshot in Cloud Profiler using the
{pod_name}_{pod_uid} Service Version at the OOM timestamp.
Step 3: Propose the GitOps Correction
Enforce the read-only diagnostics boundary: do not apply live mutations with
kubectl edit, kubectl patch, or kubectl apply. Instead, present the
corrected StorageClass, PersistentVolumeClaim, PodSpec (securityContext,
restartPolicy), or node-pool configuration as a reviewable patch to be applied
through the user's GitOps pipeline (for example, Config Sync, Argo CD, or Flux).
References
1---2name: gke-storage-troubleshooting3description: Diagnoses GKE persistent-storage failures — volume attach/mount errors (Regional PD on optimized VMs, fsGroup mount timeouts), disk-performance and node storage-pressure issues, slow-disk Pod-creation failures, volume-expansion problems, Local SSD / Hyperdisk Storage Pool creation errors, and Cloud Storage FUSE OOM. Use when Pods are stuck in ContainerCreating, volumes fail to attach or mount, or nodes report storage pressure. Don't use for routine storage provisioning or StorageClass/PVC authoring (see the gke-storage skill).4---56# GKE Storage Troubleshooting Skill78Use this skill to systematically diagnose and resolve **persistent-storage9failures** for workloads running on GKE — volume attach/mount errors, disk10performance and node storage pressure, volume expansion, storage-related11cluster/node-pool creation errors, and Cloud Storage FUSE memory issues. This12skill operates non-interactively and enforces a read-only diagnostics boundary13before proposing manifest or configuration corrections.1415> For routine storage **provisioning** and StorageClass/PVC authoring, use the16> `gke-storage` skill instead. This skill focuses on **failure diagnosis**.1718## 🔍 Diagnosis & Resolution Workflow1920### Step 0: Non-Interactive Context Discovery & Dry-Run Fallback21221. **Parameter Extraction**: Extract required context (`project_id`,23 `cluster_name`, `cluster_location`, `workload_name`, `workload_namespace`,24 `pod_name`, and the relevant `pvc_name` / `pv_name` / `node_name`)25 non-interactively from the user prompt, active `SETTINGS.md`, or environment26 defaults:2728 - Default `workload_namespace` to `default` if omitted.29 - Infer missing cluster parameters from the active environment (`kubectl30 config current-context` or `gcloud config get-value project`).31322. **Cluster Credentials & Fallback Mode**:3334 - Attempt credential fetch: `gcloud container clusters get-credentials35 {cluster_name} --location {cluster_location} --project {project_id}`.36 - **Fallback / Dry-Run Mode**: If the cluster is unreachable,37 non-existent, or live command execution fails (such as in sandboxed38 evaluations, dry-run mode, or offline analysis):39 - Limit retry attempts to avoid resource exhaustion and context40 overflow.41 - Immediately present the exact `kubectl` / `gcloud` diagnostic42 commands for the human operator to run.43 - Synthesize the root-cause analysis and output the proposed GitOps44 correction based on the reported symptoms.4546--------------------------------------------------------------------------------4748### Step 1: Classify the Storage Symptom4950Gather the primary signals, then jump to the **matching branch under Step 251(Resolution)** — you normally perform **only the one branch** that matches your52diagnosis, not all of them.5354**Diagnostic Commands:**5556```bash57kubectl describe pod {pod_name} -n {workload_namespace}58kubectl get pvc,pv -n {workload_namespace}59kubectl get events -n {workload_namespace} --sort-by='.metadata.creationTimestamp'60kubectl describe node {node_name}61```6263- **Pod stuck in `ContainerCreating` with an attach/mount event** → **Volume64 Attach & Mount Failures**.65- **Node-level slowness, `PLEG is not healthy`, or `StoragePressureDetected`66 events** → **Disk Performance & Node Storage Pressure**.67- **Cluster / node-pool creation or provisioning error** → **Storage68 Provisioning & Creation Failures**.69- **A resized volume is not reflected inside the container** → **Volume70 Expansion Not Reflecting in the Container**.71- **Cloud Storage FUSE Pod / sidecar OOM** → **Cloud Storage FUSE72 Out-Of-Memory (OOM) Events**.7374--------------------------------------------------------------------------------7576### Step 2: Resolution7778Perform **only the branch that matches your Step 1 diagnosis**. These branches79are mutually exclusive alternatives, not sequential steps.8081#### Volume Attach & Mount Failures8283- **`Error 400: Cannot attach RePD to an optimized VM`**: Regional persistent84 disks are restricted from being used with **memory-optimized** or85 **compute-optimized** machine types.8687 - If a regional PD is not a hard requirement, switch the workload to a88 **non-regional persistent disk** StorageClass.89 - If a regional PD **is** required, use **taints and tolerations** so that90 Pods needing regional PDs are scheduled onto a node pool that does91 **not** use optimized machine types.9293- **Pods stay `Pending` / `FailedScheduling` after a node pool is moved to a94 4th-generation (N4, N4A, N4D) machine series while the workload uses a95 Persistent Disk StorageClass**: N4/N4A/N4D machines **do not support96 Persistent Disk** (they support Hyperdisk only), so a PVC bound to a `pd-*`97 StorageClass cannot bind or schedule on those nodes. Events typically show98 `FailedScheduling` with a volume node-affinity / topology conflict.99100 - Switch the workload to a **Hyperdisk** StorageClass (for example `type:101 hyperdisk-balanced`) for the Gen4 node pool.102 - For existing Persistent Disk volumes, migrate the data to a Hyperdisk103 volume; the original PD cannot be attached to a Gen4 node.104 - If the workload must keep Persistent Disk, keep it on a PD-capable105 machine series (for example N2) via node selection. This is a106 machine-type/disk-type incompatibility, **not** a capacity problem, so107 increasing disk size or quota does not help.108109- **Hyperdisk Pods become unschedulable when a compute class falls back across110 VM generations (for example N4 priority, N2 fallback), or one StorageClass111 must serve mixed generations**: a single static disk type in the112 StorageClass is not compatible with every machine series in the fallback113 list, so Pods cannot bind their volume on the fallback nodes.114115 - Use **automated disk type selection**: set the StorageClass116 `parameters.type` to `dynamic` with `hyperdisk-type`, `pd-type`, and117 `disk-type-preference`, plus `use-allowed-disk-topology: "true"`, so GKE118 selects a compatible disk type per node and schedules Pods only onto119 nodes that support it. One dynamic StorageClass can then span multiple120 VM generations (requires the GKE versions noted in the docs).121122- **Mount stops responding due to the `fsGroup` setting**: A Pod configured123 with a `securityContext.fsGroup` on a volume that contains a **large number124 of files** makes the kubelet recursively change ownership on every file,125 which can time out the mount. The symptom is:126127 ```128 Unable to attach or mount volumes for pod; skipping pod ... timed out waiting for the condition129 ```130131 Confirm by checking the Pod logs for a `Setting volume ownership for ... and132 fsGroup set` entry, then apply one of:133134 - Reduce the number of files in the volume.135 - Set `securityContext.fsGroupChangePolicy: OnRootMismatch` so ownership136 is only changed when the top-level permissions do not match.137 - Stop using the `fsGroup` setting if it is not required.138139#### Disk Performance & Node Storage Pressure140141- **Poor disk performance** (symptoms such as `task dockerd:... blocked for142 more than 300 seconds`, `PLEG is not healthy`, or slow `fs: disk usage`143 scans): the node boot disk is shared across the OS, container images, the144 overlay filesystem, and disk-backed `emptyDir` volumes, and performance is145 shared across all disks of the same type on the node.146147 - This commonly affects nodes using **standard persistent disks smaller148 than 200 GB**. Increase the disk size or switch to SSD, especially for149 production.150 - Enable **Local SSD for ephemeral storage** on node pools whose workloads151 frequently use `emptyDir`.152153- **Slow disk operations cause Pod creation failures**: on affected node154 versions (GKE 1.18–1.23 before the fixed patch releases), the `k8s_node155 container-runtime` logs show `failed to reserve container name ... is156 reserved for ...` (containerd issue #4604).157158 - Mitigate with `restartPolicy: Always` or `OnFailure` in the PodSpec, and159 increase boot-disk IOPS (larger disk or a faster disk type).160 - The permanent fix is containerd 1.6.0+; upgrade to a GKE version that161 includes it.162163- **`StoragePressureDetected` (high node storage pressure)**: node condition164 `StoragePressureRootFileSystem` becomes `True` (for example, `Disk165 /dev/nvme0n1 usage 89% exceeds threshold 85%`), caused by excessive166 `emptyDir` writes, large image pulls, or accumulating logs.167168 - Identify usage with `df -h` on the affected node (focus on169 `/mnt/stateful_partition` and ephemeral mounts).170 - Remediate by using larger boot disks, adding Local SSDs for ephemeral171 storage, setting appropriate `ephemeral-storage` requests/limits, and172 cleaning up unused files/images/logs.173174#### Storage Provisioning & Creation Failures175176- **`The selected machine type ... has a fixed number of local SSD(s)`**: the177 Local SSD count specified in `EphemeralStorageLocalSsdConfig` /178 `LocalNvmeSsdBlockConfig` does not match the fixed count included with the179 machine type.180181 - Specify a Local SSD count that matches the machine type. For182 **third-generation** machine series, omit the Local SSD `count` flag and183 the correct value is configured automatically.184185- **Hyperdisk Storage Pools: cluster or node-pool creation fails** with186 `ZONE_RESOURCE_POOL_EXHAUSTED` (or similar Compute Engine resource errors):187 the target zone lacks capacity for the requested Hyperdisk Balanced disks or188 machine type.189190 - Select a new zone in the same region that has capacity and where191 Hyperdisk Balanced Storage Pools are available. Because storage pools192 are **zonal**, delete and recreate the pool in the new zone, then create193 the cluster/node pool there.194195#### Volume Expansion Not Reflecting in the Container196197Volume expansion must always be driven through the **PersistentVolumeClaim**.198Editing the PersistentVolume directly can leave the container filesystem on the199old size.2002011. Keep the modified PersistentVolume object as it is.2022. Edit the **PersistentVolumeClaim** and set `spec.resources.requests.storage`203 to a value **higher** than the current PersistentVolume size.2043. The kubelet then resizes the PV, PVC, and container filesystem205 automatically. Verify inside the Pod:206207 ```bash208 kubectl exec {pod_name} -n {workload_namespace} -- df -h209 ```210211#### Cloud Storage FUSE Out-Of-Memory (OOM) Events212213If Pods experience high memory use or OOM kills related to the Cloud Storage214FUSE CSI driver:2152161. Enable CPU/memory snapshots by configuring **Cloud Profiler** on the Cloud217 Storage FUSE CSI driver sidecar container.2182. Locate the OOM event in **Cloud Logging**, filtering by Pod:219220 ```221 jsonPayload.involvedObject.name="{pod_name}"222 jsonPayload.involvedObject.kind="Pod"223 OOMKilled224 ```225226 If the sidecar mounter or GCSFuse process OOMs, the Pod name is the workload227 Pod's name; if the node driver OOMs, it is `gcsfusecsi-node-*`.2283. Extract the Pod UID (`jsonPayload.involvedObject.uid`) and timestamp, then229 analyze the matching snapshot in **Cloud Profiler** using the230 `{pod_name}_{pod_uid}` Service Version at the OOM timestamp.231232--------------------------------------------------------------------------------233234### Step 3: Propose the GitOps Correction235236Enforce the read-only diagnostics boundary: **do not** apply live mutations with237`kubectl edit`, `kubectl patch`, or `kubectl apply`. Instead, present the238corrected StorageClass, PersistentVolumeClaim, PodSpec (`securityContext`,239`restartPolicy`), or node-pool configuration as a reviewable patch to be applied240through the user's GitOps pipeline (for example, Config Sync, Argo CD, or Flux).241242## References243244- [Troubleshoot storage in GKE](https://docs.cloud.google.com/kubernetes-engine/docs/troubleshooting/storage.md.txt)245- [Regional persistent disk restrictions](https://docs.cloud.google.com/compute/docs/disks.md.txt#restrictions_2)246- [Configure ephemeral storage with local SSDs](https://docs.cloud.google.com/kubernetes-engine/docs/how-to/persistent-volumes/local-ssd.md.txt)247- [Cloud Storage FUSE CSI driver sidecar (enable Profiler)](https://docs.cloud.google.com/kubernetes-engine/docs/how-to/cloud-storage-fuse-csi-driver-sidecar.md.txt#enable-profiler)248- [Hyperdisk Storage Pools](https://docs.cloud.google.com/kubernetes-engine/docs/how-to/persistent-volumes/hyperdisk-storage-pools.md.txt)249- [N4 machine series storage support (Persistent Disk not supported)](https://docs.cloud.google.com/compute/docs/general-purpose-machines.md.txt)250- [Hyperdisk machine type support](https://docs.cloud.google.com/compute/docs/disks/hyperdisks.md.txt)251- [Hyperdisk automated disk type selection (dynamic StorageClass)](https://docs.cloud.google.com/kubernetes-engine/docs/concepts/hyperdisk.md.txt#automated_disk_type_selection)