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Time chaos

Shift the wall-clock time observed by selected processes inside a target Kubernetes pod to test application behavior under clock skew, token expiry, and time-based scheduling errors.

Time chaos is a Kubernetes pod-level chaos fault that shifts the wall-clock or monotonic time observed by selected processes inside the target container by a configurable offset for a configurable duration. The pod's own filesystem timestamps, scheduled timers, and time-based logic see the shifted time; the node's clock and other pods are unaffected. When the fault ends, the pod's time returns to the host clock.

Use this fault to test how an application handles clock skew: a token that expires earlier or later than expected, a scheduler that fires at the wrong moment, a TLS certificate that appears expired (or not yet valid), or a distributed lock that misses its lease deadline.

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.

Use cases

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

  • Token and certificate expiry: Shift time forward by an hour with OFFSET=3600s. Do JWTs reject as expired, and does the application refresh them? Do TLS handshakes fail with certificate has expired?

  • NTP drift simulation: Inject a small offset (OFFSET=30s) to model gradual NTP drift. Does the application's clock-comparison logic (rate limits, idempotency keys, signed requests) still hold?

  • Distributed lock and lease deadlines: A pod that thinks it is in the past keeps holding a lease the rest of the cluster considers expired. Does the leader-election protocol resolve cleanly?

  • Scheduled job firing: Shift time forward past a scheduled timer. Does the in-process scheduler fire the job once it sees the new time, or does it miss the window?

  • Cron and time-based eviction: Move time backward (OFFSET=-3600s) and verify whether logic that relies on monotonically increasing timestamps copes (database write-ahead logs, monotonic counters).

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).

  • Linux kernel supports time namespaces: Time chaos relies on Linux time namespaces (kernel 5.6 or later). Confirm with uname -r on the target node.

  • Workload selector defined: The chaos experiment knows the target workload by kind, namespace, and either names or labels.

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)

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.

Fault tunables

Configure the following fault parameters when you add Time chaos to an experiment in Chaos Studio. Defaults are shown for reference.

Chaos parameters

Tunable
Description
Default

OFFSET

Time offset applied to the target clock. Positive values move time forward; negative values move it backward. Accepts Go duration strings such as 30s, 1h, -2h.

3600s

CLOCK_IDS

Target clock(s) to shift. Common values: CLOCK_REALTIME (wall clock), CLOCK_MONOTONIC (monotonic timer). Comma-separated to shift multiple clocks.

CLOCK_REALTIME

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 processes' clock to shift. 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.

PICK THE RIGHT CLOCK FOR THE TEST

CLOCK_REALTIME affects wall-clock readings (logs, timestamps, token exp claims, certificate validity). CLOCK_MONOTONIC affects timeouts and elapsed-time calculations. Many libraries use one and not the other; match the clock to the code path you intend to break.

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

Shifts the time observed by processes in the target container by OFFSET on the clocks listed in CLOCK_IDS, so the application's reads of time(2), clock_gettime(2), and equivalent return values shifted by the configured amount, while the host clock and other pods are unaffected.

Expected behavior during fault execution

  • Processes running in the target container observe time shifted by OFFSET. New timestamps written to logs, set on files, or embedded in API responses reflect the shifted clock.

  • Outside the container, the node's clock and other pods are not affected. Kubernetes control plane components (kubelet, API server) still see the real time.

  • Applications that compare their clock to external timestamps (TLS certificate validity, JWT exp claims, OAuth tokens, distributed-lock leases) behave according to the offset: a forward shift makes things appear to have expired; a backward shift makes them appear not yet valid.

  • Code that calls gettimeofday/time repeatedly continues to see consistent (shifted) time. Code that uses CLOCK_MONOTONIC for elapsed-time measurement is only affected if you include it in CLOCK_IDS.

  • File modification timestamps for new writes inside the container reflect the shifted time. ls -l shows future or past dates accordingly.

WHEN THE FAULT ENDS

After TOTAL_CHAOS_DURATION, the time offset is removed and processes in the container see the host clock again within seconds. File timestamps already written with shifted time remain as written.

Signals to watch

Attach resilience probes to assert each layer:

  • TLS handshake failures: Use a Prometheus probe on the application's TLS-error counter when shifting forward past a certificate's notAfter.

  • Token refresh rate: Use a Prometheus probe on token-refresh counters to verify the application reissues credentials after the shifted time crosses exp.

  • Caller errors: Use an HTTP probe on the calling service to detect 401/403 from token or signature validation failures.

Verify the fault execution effect

While the experiment is running, confirm the time shift inside the pod:

  1. Read the current time from inside the container.

    The reported time should differ from the host's time by approximately OFFSET.

  2. Compare against the host clock.

    The node's date is unaffected by the fault. The delta between this and the pod's date confirms the offset.

Recovery and cleanup

  • End of duration: The time offset is removed automatically and the container's processes see the host clock.

  • Abort the experiment: Stopping the experiment from Chaos Studio triggers the same cleanup path.

  • Failed cleanup: If automated cleanup did not complete, restart the target pod to detach from the modified time namespace.

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.

  • Linux kernel version: Time namespaces require kernel 5.6 or later. On older kernels the fault fails to apply.

  • Already-established TLS connections: Connections that completed handshake before the fault began are not re-validated against the shifted time. The fault changes how new handshakes are evaluated.

  • External time sources: Code that fetches time from an external NTP-like service (rather than the local clock) bypasses the fault.

  • File timestamps persist: Files written with shifted timestamps keep those timestamps after the fault ends. If your application depends on monotonically increasing file timestamps, plan recovery accordingly.

Troubleshooting

Time chaos experiment stays Pending or never starts in Harness Chaos Engineering

Inspect the chaos pods in the experiment namespace with kubectl describe pod -n . 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.

Time offset does not apply during time-chaos

The most common causes are: the target node's Linux kernel is older than 5.6 and does not support time namespaces (check with uname -r); CLOCK_IDS does not include the clock the application actually uses (try CLOCK_REALTIME,CLOCK_MONOTONIC); or the application reads time from an external source (NTP, HTTP date header) rather than the local clock. Run date inside the target container during the fault and compare against the node's date to confirm whether the shift is in place.

Connection to container runtime fails for time-chaos in Harness Chaos Engineering

The default SOCKET_PATH is /run/containerd/containerd.sock. For Docker, set CONTAINER_RUNTIME=docker and SOCKET_PATH=/var/run/docker.sock. For CRI-O, set CONTAINER_RUNTIME=crio and SOCKET_PATH=/var/run/crio/crio.sock.

Time stays shifted after time-chaos ends

Automated cleanup did not complete. Restart the target pod to detach from the modified time namespace. File timestamps written with shifted time during the fault remain as written; that is expected. If the runtime continues to show shifted time, capture the chaos pod logs from the experiment namespace before the next run and share them with Harness support.

Related faults

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