FS fill
Write a configurable amount of data into a specific path inside a Kubernetes container to test mounted-volume capacity, eviction, and write-failure handling.
FS fill is a Kubernetes pod-level chaos fault that writes a configurable amount of data into a specific path inside a target container. Unlike Disk fill, which works as a percentage of the container's ephemeral-storage limit, FS fill writes an absolute size (FILL_SIZE) at a specific FILE_PATH (/tmp by default), so you can target a mounted volume, a writable subdirectory, or any specific filesystem path your application depends on.
Use this fault to test how the workload reacts when the directory it writes to runs out of space: whether it surfaces useful errors, whether log rotation or temp cleanup kicks in, and whether the kubelet evicts the pod for breaching its ephemeral-storage budget.
Use cases
Run this fault when you want to answer concrete questions like:
Path-specific capacity testing: When
/tmp, a working directory, or a mounted volume fills up, does the application fail cleanly with a clear log line andENOSPC, or does it hang indefinitely on the next write?Mounted-volume back-pressure: When the fault writes into a path backed by an
emptyDiror PVC, do consumers downstream of that path (queue producers, log shippers, batch jobs) detect the failure and shed load?Log-rotation effectiveness: Filling the log directory simulates uncontrolled log growth. Does the rotation policy catch up and reclaim space, or does the pod tip into eviction before rotation runs?
Cleanup hooks on shutdown: When the kubelet evicts the pod for filling its ephemeral budget, does the application clean up temp data on
SIGTERM, or does the next pod inherit a polluted directory?Failure-mode coverage for batch jobs: A batch job that writes intermediate output to a path that runs out of space tests whether the job framework retries, marks the job failed, or hangs.
Prerequisites
Kubernetes version: 1.21 or later. Go to What's supported to confirm distribution support.
Target pods are Running: The pods you intend to fill are in the
Runningstate before the fault is launched. The fault reports a precheck failure otherwise.Privileged pods allowed: The cluster lets you schedule privileged pods in the chaos namespace. The fault writes into the target container through the container runtime.
Container runtime access: The chaos infrastructure can reach the container runtime on the target nodes. The default
containerdsocket path is mounted automatically.Writable path inside the container: The
FILE_PATHyou target is writable from the container. The fault fails immediately if the path is missing or read-only.
Supported environments
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)
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
events ("")
get, list, create, patch, update
Record fault progress as Kubernetes events
configmaps ("")
get, list
Mount configuration into the chaos pod when specified
deployments, statefulsets, replicasets, daemonsets (apps)
get, list
Resolve the parent controller for each target pod
replicationcontrollers ("")
get, list
Resolve the parent controller for legacy workloads
deploymentconfigs (apps.openshift.io)
get, list
Resolve the parent controller on OpenShift
rollouts (argoproj.io)
get, list
Resolve the parent controller for Argo Rollouts
jobs (batch)
get, list, create, delete, deletecollection
Run the chaos job that drives the fault
chaosengines, chaosexperiments, chaosresults (litmuschaos.io)
get, list, create, patch, update, delete
Manage the chaos engine, experiment, and result CRDs
The default Harness chaos infrastructure service account already includes these permissions. You only need to extend it if you are running with a restricted scope.
Fault tunables
Configure the following fault parameters when you add FS fill to an experiment in Chaos Studio. Defaults are shown for reference.
Chaos parameters
FILL_SIZE
Amount of data to write at FILE_PATH. Accepts unit suffixes K, KB, M, MB, G, GB.
100M
FILE_PATH
Absolute path inside the target container where the data is written. Must exist and be writable.
/tmp
TOTAL_CHAOS_DURATION
Duration of the fault in seconds. The data is held at FILE_PATH for the duration.
60
Targeting
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 is filled. 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, fill parallel (all at once) or serial (one after another).
parallel
Runtime and helper
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.
PICK FS FILL VS DISK FILL DELIBERATELY
Use FS fill when you want to target a specific path (mounted volume, /tmp, log directory) with a known absolute size. Use Disk fill when you want to consume a percentage of the container's ephemeral-storage limit without caring about the exact location.
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
Fault execution in brief
Writes FILL_SIZE of data at FILE_PATH inside the target container, holds the data there for the configured duration, and removes the data when the fault ends.
Expected behavior during fault execution
FILE_PATHaccumulates data untilFILL_SIZEis reached, then the fill is held for the rest of the duration.If
FILE_PATHlives on the container's writable layer and the total writable usage crosses the container'sresources.limits.ephemeral-storage, the kubelet evicts the pod with an ephemeral-storage breach reason.If
FILE_PATHlives on a mounted volume (emptyDir, PVC,hostPath), the fill is confined to that volume. Ephemeral-storage limits do not apply, but the volume itself can run out of space, and writes from the application to that path fail withENOSPC.Application writes to
FILE_PATHmay fail withENOSPC(no space left on device) before the kubelet acts. The blast radius depends on which subsystem of the application uses that path.Reads from
FILE_PATHare not affected. Files that already existed remain readable.The node-level filesystem stays untouched unless
FILE_PATHresolves to a host-mounted path. The fault is scoped to the target container's view of the filesystem.
Signals to watch
A useful experiment captures signals from three layers. Attach resilience probes to assert each layer automatically:
Application error rate and disk-error logs: Watch for
ENOSPC,No space left on device, and any disk-related stack traces in your logs. Use an HTTP probe to assert direct endpoint health.Eviction events: Track
kube_pod_status_reason{reason="Evicted"}for the target workload's namespace if you expect the fill to breach the ephemeral-storage limit. Use a Prometheus probe for an automatic check.Volume usage (if
FILE_PATHis a mounted volume): Use the appropriate volume-level metric (PVC usage, node filesystem free space) to confirm the fill is hitting the intended path. Use a Kubernetes probe when you have a relevant Kubernetes object to watch.
Verify the fault execution effect
While the experiment is running, confirm that the target path is actually filling up:
List disk usage at the target path inside the container.
The usage on the filesystem backing
FILE_PATHshould increase by approximatelyFILL_SIZE.List the largest files at the target path.
You should see the file the fault wrote (named by the fault, with a size near
FILL_SIZE).Look for eviction or
ENOSPCevents.Expect
Evictedevents only if the fill exceeds the container's ephemeral-storage limit. Otherwise, expect application-level errors instead.
Recovery and cleanup
End of duration: When
TOTAL_CHAOS_DURATIONelapses, the data written atFILE_PATHis removed and disk usage at the path returns to baseline within seconds.Evicted pods reschedule: If the fault tripped an ephemeral-storage eviction, the workload's controller schedules a replacement pod on any Ready node with capacity.
Mounted volumes retain their state: If
FILE_PATHlived on a PVC and the pod was evicted, the next pod that mounts the same PVC sees an empty path (because the fault removed its data), not a fresh volume.Stale application state: Applications that wrote real data to
FILE_PATHduring the fault may have lost data due toENOSPC. Check the application's recovery logic before assuming the workload is healthy.Abort the experiment early: Stopping the experiment from Chaos Studio triggers cleanup of the data at
FILE_PATH. Any eviction that has already happened cannot be undone.
Limitations
This fault is not appropriate in the following scenarios:
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.
Read-only paths: If
FILE_PATHis read-only (because ofreadOnlyRootFilesystem,securityContext, or a volume mounted read-only), the fault fails immediately with a write error.Paths outside the container: This fault writes inside the target container's filesystem view. It does not write to the host node directly. Use Node I/O stress to fill the node filesystem.
Sub-MiB
FILL_SIZE: A fill below the noise floor ofdfdoes not produce a measurable effect. Use a fill of at least a few MiB to see meaningful change.Network-attached volumes with thin-provisioning quirks: Some cloud storage classes report a different "free" size than the underlying provisioned volume. A fill that succeeds on the file system may still produce inconsistent quota signals from the storage backend.
Troubleshooting
Related faults
Disk fill: Fill a percentage of the container's ephemeral-storage limit instead of writing an absolute size at a specific path.
Pod CPU hog and Pod memory hog: Apply CPU or memory pressure on the target container.
Node I/O stress: Drive disk I/O at the node level rather than against a single container.
Common pod fault tunables: Shared environment variables for selecting target pods and workloads.
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