Pod IO stress

Last updated on Jun 1, 2026

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Pod IO stress is a Kubernetes pod-level chaos fault that generates sustained filesystem read and write activity inside the target container's mounted volume for a configurable duration. Disk IO bandwidth is consumed by the injected workload, ephemeral storage usage rises toward the configured target, and the application competes for IO against the chaos load. When the fault ends, the chaos data is cleaned up and IO returns to baseline.

Use this fault to test how a service behaves under disk pressure: a logger that backs up when the disk gets slow, a process that fails on ENOSPC, a sidecar that thrashes when the volume hits 95% full, or a noisy-neighbor pod monopolizing IO on a shared node.

Run your first experiment

If you have not configured the chaos infrastructure yet, go to Quickstart to install the chaos infrastructure and run an experiment end to end.

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Use cases

Run this fault when you want to answer concrete questions like:

• Ephemeral storage limits: Push the container's emptyDir toward its sizeLimit. Does the kubelet evict the pod with Evicted: The node was low on resource: ephemeral-storage, or does the application surface a clean error first?
• Disk-full handling: At 95% volume utilization, does the application's logger, cache, or queue degrade gracefully or panic on ENOSPC?
• Slow-disk latency: Sustained IO contention raises read and write latency. Do background tasks (sync, fsync, log rotation) complete on time, or do they back up?
• Noisy-neighbor isolation: Stressing IO on one pod on a node verifies whether other pods on the same node maintain their IO SLOs (cgroup IO limits, dedicated PVs).
• Backpressure validation: Does the queue or buffer in front of the disk surface backpressure to upstream callers, or silently grow until OOM?

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Prerequisites

• Kubernetes version: 1.21 or later. Go to What's supported to confirm distribution support.
• Target pods are Running: The application pods you intend to target are in the Running state before the fault is launched.
• Privileged pods allowed: The cluster lets you schedule privileged pods in the chaos namespace. GKE Autopilot supports this fault but requires the one-time setup in Chaos on GKE Autopilot; other locked-down distributions may need similar exemptions.
• Container runtime access: The chaos pod can reach the container runtime socket on the target node (/run/containerd/containerd.sock, /var/run/docker.sock, or /var/run/crio/crio.sock).
• Writable filesystem: The target container has a writable mounted volume (or writable emptyDir) that the fault can use to generate IO load.
• Workload selector defined: The chaos experiment knows the target workload by kind, namespace, and either names or labels.

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Supported environments

Platform	Support status
Amazon EKS	Supported
Azure AKS	Supported
Google GKE	Supported
Red Hat OpenShift	Supported
Rancher	Supported
VMware Tanzu	Supported
Self-managed Kubernetes (CNCF-certified)	Supported
GKE Autopilot	Supported with Autopilot setup
EKS Fargate, ACI virtual nodes	Not supported (no access to container runtime sockets)

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Permissions required

The fault runs under the chaos infrastructure's service account.

Resource (apiGroup)	Verbs	Why it is needed
pods ("")	get, list, create, delete, deletecollection, patch, update	Discover target pods and run the chaos pod on the same node
pods/log ("")	get, list, watch	Stream chaos pod logs for status and debugging
deployments, statefulsets, replicasets, daemonsets (apps)	get, list	Resolve the target workload to the pods it owns
events ("")	get, list, create, patch, update	Record fault progress as Kubernetes events
jobs (batch)	get, list, create, delete, deletecollection	Run the chaos job that drives the fault

The default Harness chaos infrastructure service account already includes these permissions.

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Fault tunables

Configure the following fault parameters when you add Pod IO stress to an experiment in Chaos Studio. Defaults are shown for reference. Use either FILESYSTEM_UTILIZATION_PERCENTAGE or FILESYSTEM_UTILIZATION_BYTES, not both.

Chaos parameters

Tunable	Description	Default
FILESYSTEM_UTILIZATION_PERCENTAGE	Target filesystem utilization as a percentage of free space on the mounted volume. Use this when you want to drive the volume toward a specific fill level.	10
FILESYSTEM_UTILIZATION_BYTES	Target filesystem utilization in gigabytes. Use this when you know exactly how much data you want to write. Empty defers to FILESYSTEM_UTILIZATION_PERCENTAGE.	""
NUMBER_OF_WORKERS	Number of concurrent IO worker threads. Higher values produce more IO contention.	4
VOLUME_MOUNT_PATH	Path inside the target container where the IO load is written. Empty uses a sensible default in /. Set this to a specific PV mount path to scope the stress to a particular volume.	""
TOTAL_CHAOS_DURATION	Duration of the fault in seconds.	60

Targeting

Tunable	Description	Default
TARGET_PODS	Comma-separated list of pod names to target. Empty selects from the workload's pods using POD_AFFECTED_PERCENTAGE.	""
TARGET_CONTAINER	Container in the pod whose filesystem to stress. Empty targets the first container in the pod spec.	""
NODE_LABEL	Label selector to filter target pods by the node they run on. Empty disables node-based filtering.	""
POD_AFFECTED_PERCENTAGE	Percentage of the workload's pods to target. 0 means one pod.	0
SEQUENCE	When multiple pods are targeted, inject parallel (all at once) or serial (one after another).	parallel

Runtime and helper

Tunable	Description	Default
CONTAINER_RUNTIME	Container runtime on the target nodes. One of containerd, docker, crio.	containerd
SOCKET_PATH	Path to the container runtime socket on the target node. Set to match CONTAINER_RUNTIME.	/run/containerd/containerd.sock
RAMP_TIME	Wait period in seconds before and after the fault. Go to ramp time to read how it is applied.	0

Tunables that apply to every chaos fault are documented in common tunables for all faults.

Match VOLUME_MOUNT_PATH to the volume under test

If you want to stress only the application's persistent volume (not the container's root filesystem), set VOLUME_MOUNT_PATH to that volume's mount point. If you want to test ephemeral storage limits, leave it at the default to stress the writable layer.

Configure for your container runtime

Set CONTAINER_RUNTIME and SOCKET_PATH to match the runtime on the target node:

CONTAINER_RUNTIME	SOCKET_PATH
containerd (default)	/run/containerd/containerd.sock
docker	/var/run/docker.sock
crio	/var/run/crio/crio.sock

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Fault execution in brief

Drives sustained read and write activity against the target container's filesystem (rooted at VOLUME_MOUNT_PATH), filling it toward either FILESYSTEM_UTILIZATION_PERCENTAGE of free space or FILESYSTEM_UTILIZATION_BYTES gigabytes using NUMBER_OF_WORKERS parallel writers, so the application competes for IO and storage capacity.

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Expected behavior during fault execution

• The mounted volume's free space drops toward the configured target. The application's IO calls compete with the injected workload for disk bandwidth.
• Read and write latency for the application rises while the fault runs. fsync-heavy workloads (databases, log writers) feel this most.
• If the target fills ephemeral storage past the container's ephemeral-storage limit, the kubelet evicts the pod with the reason Evicted: The node was low on resource: ephemeral-storage (or similar).
• Writes that fail with ENOSPC surface to the application as No space left on device. Whether the application crashes, retries, or degrades depends on its code paths.
• IO load may bleed into other containers in the same pod (they share volumes and the host disk) and to other pods on the same node (they share the underlying disk).

When the fault ends

After TOTAL_CHAOS_DURATION, the IO workers stop and the data they wrote is removed. The volume's free space returns to roughly its pre-fault level within seconds.

Signals to watch

Attach resilience probes to assert each layer:

• Disk utilization: Use a Prometheus probe on kubelet_volume_stats_used_bytes to confirm the volume rose to the configured target.
• IO latency: Use a Prometheus probe on disk-read/write latency metrics to verify the application's IO got slower as expected.
• Pod eviction events: Use a Kubernetes probe to detect Evicted events on the target pod; the experiment intentionally pushes ephemeral storage when ephemeral storage limits are tight.

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Verify the fault execution effect

While the experiment is running, confirm IO load and disk usage on the target:

1. Inspect filesystem usage inside the container.

   kubectl exec -n <namespace> <target-pod> -c <TARGET_CONTAINER> -- \
     df -h <VOLUME_MOUNT_PATH or />

   The Used column should be rising toward the configured target (FILESYSTEM_UTILIZATION_PERCENTAGE of free or FILESYSTEM_UTILIZATION_BYTES).

2. Check application-level impact.

   • Application logs should show slower IO operations or, if the volume fills, No space left on device errors.
   • On the host, iostat (or your monitoring) should show elevated await/r_await/w_await and high %util on the underlying device.

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Recovery and cleanup

• End of duration: The IO workers stop and any files written by the fault are removed automatically.
• Abort the experiment: Stopping the experiment from Chaos Studio triggers the same cleanup path.
• Failed cleanup: If the target pod was evicted mid-fault, the kubelet recycles its ephemeral storage when the pod restarts. For PVs, leftover chaos files at VOLUME_MOUNT_PATH (named with a recognizable chaos prefix) can be removed manually.

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Limitations

• Serverless Kubernetes (EKS Fargate, ACI virtual nodes): These platforms do not expose container runtime sockets and reject the privileged access the fault needs. GKE Autopilot is supported once the one-time setup in Chaos on GKE Autopilot is in place.
• Windows containers: This fault is supported on Linux pods only.
• Read-only filesystems: If the container's root filesystem is mounted read-only and no writable volume is supplied via VOLUME_MOUNT_PATH, the fault has nowhere to write and fails to start.
• Eviction risk: Filling ephemeral storage past the pod's ephemeral-storage limit (or the node's eviction threshold) causes the kubelet to evict the pod. This is sometimes the test; other times it is unintended. Calibrate FILESYSTEM_UTILIZATION_* against the volume's free space and the pod's storage limits.
• Shared volumes: Multiple containers in the same pod that share a volume see the fault on each shared mount.
• Underlying device contention: On bare metal or shared local storage, the IO load can affect other pods on the same node even if POD_AFFECTED_PERCENTAGE targets only one pod.

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Troubleshooting

Pod IO stress experiment stays Pending or never starts in Harness Chaos Engineering

Inspect the chaos pods in the experiment namespace with kubectl describe pod -n <chaos-namespace>. The most common causes are taints on the target node that the chaos pods do not tolerate, insufficient resources, or a PodSecurity admission policy blocking privileged pods. Add the required tolerations to the experiment or run in a namespace with privileged Pod Security level.

Volume usage does not rise during pod-io-stress

The most common causes are: VOLUME_MOUNT_PATH points to a path that is not writable inside the container (verify with kubectl exec <pod> -- touch <path>/x); both FILESYSTEM_UTILIZATION_PERCENTAGE and FILESYSTEM_UTILIZATION_BYTES are set so the fault picked one and ignored the other; or the target volume has very little free space to fill. Re-run with VOLUME_MOUNT_PATH empty and FILESYSTEM_UTILIZATION_PERCENTAGE=50 to confirm the path.

Target pod was evicted during pod-io-stress

The fault filled ephemeral storage past the pod's ephemeral-storage limit (or the node's eviction threshold), and the kubelet evicted the pod. If this is the test, the eviction event is the result; if not, lower FILESYSTEM_UTILIZATION_PERCENTAGE or set FILESYSTEM_UTILIZATION_BYTES to a value below the pod's ephemeral-storage limit. Inspect the pod's previous instance with kubectl describe pod <pod> to see the eviction reason.

Chaos files remain after pod-io-stress ends

If the target pod was evicted mid-fault, the kubelet recycles ephemeral storage on pod restart. For files left behind on a persistent volume, locate them under VOLUME_MOUNT_PATH (named with a chaos prefix) and remove manually, or restart the application pod so the PV cleanup logic runs.

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Related faults

• Pod CPU hog: Stress CPU on the target pod instead of disk IO.
• Pod memory hog: Stress memory on the target pod instead of disk IO.
• Disk fill: Fill a container's writable layer with a single large file (no concurrent IO workers).
• FS fill: Fill a specific filesystem path with bounded write activity.
• Node IO stress: Apply IO stress at the node level rather than to one pod.
• Common pod fault tunables: Shared environment variables for selecting target pods and workloads.