Pod HTTP status code
Override the HTTP response status code returned by a target Kubernetes pod to test client error handling, retry classification, and circuit-breaker behavior on specific HTTP status codes.
Pod HTTP status code is a Kubernetes pod-level chaos fault that overrides the HTTP response status code returned by the target pod for a configurable duration. You can also overwrite the response body to match the new status (for example, return a 500 with an error payload), or leave the body untouched. When the fault ends, status codes return to whatever the application produces naturally.
Use this fault to test how a client handles specific HTTP error codes: a 429 from a rate-limited dependency, a 503 from an overloaded backend, a 404 from a missing resource, or a deliberate 200 returned over a "successful" but broken response.
Use cases
Run this fault when you want to answer concrete questions like:
Retry classification: Does the client retry on
503but not on400? Does it honorRetry-Afteron429?Error budget consumption: Forcing a percentage of
500s reveals whether your SLO alerting and error-budget burn rules fire as expected.Cache invalidation: Returning
404for resources the client previously cached as200exposes stale-cache handling.Auth failure handling: A targeted
401or403reveals whether the client refreshes tokens, prompts the user, or simply loops.Rate-limit handling: Returning
429with aRetry-Afterbody verifies whether the client backs off and resumes rather than thrashing.
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
Runningstate 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).HTTP service on a known port: The target container serves HTTP, HTTPS, or gRPC traffic on a port you can specify with
TARGET_SERVICE_PORT.Workload selector defined: The chaos experiment knows the target workload by kind, namespace, and either names or labels.
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
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 Pod HTTP status code to an experiment in Chaos Studio. Defaults are shown for reference.
Chaos parameters
STATUS_CODE
HTTP status code to return. Supported values: 200, 201, 202, 204, 300, 301, 302, 304, 307, 400, 401, 403, 404, 500, 501, 502, 503, 504. 0 picks one at random from the supported list.
0
MODIFY_RESPONSE_BODY
When true, replaces the response body with RESPONSE_BODY (or a default body matching the status code if RESPONSE_BODY is empty). When false, the original body is returned alongside the new status code.
true
RESPONSE_BODY
Body string to overwrite the response when MODIFY_RESPONSE_BODY is true. Empty falls back to a default body matching the status code.
""
CONTENT_TYPE
Content-Type header set on the modified response.
text/plain
CONTENT_ENCODING
Encoding applied to the body. Supported values: gzip, deflate, or empty for no encoding.
""
TARGET_SERVICE_PORT
Port the target container listens on for HTTP traffic.
80
TOXICITY
Percentage of intercepted responses whose status is overridden, between 0 and 100. 100 modifies every response.
100
TOTAL_CHAOS_DURATION
Duration of the fault in seconds.
60
Proxy and interface
PROXY_PORT
Port the chaos proxy listens on inside the container's network namespace. Must not conflict with any port already in use on the target container.
20000
NETWORK_INTERFACE
Network interface inside the target container's namespace. Almost always eth0 for standard CNI plugins.
eth0
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 network namespace to enter. 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
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.
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
Intercepts HTTP responses on TARGET_SERVICE_PORT inside the container's network namespace and replaces the status code with STATUS_CODE (and optionally rewrites the body), optionally limited to a configurable percentage of responses so other traffic is unaffected.
Expected behavior during fault execution
HTTP and HTTPS responses on
TARGET_SERVICE_PORTreturn the configuredSTATUS_CODEinstead of the application's original status.When
MODIFY_RESPONSE_BODY=true, the body is replaced withRESPONSE_BODY(or a default error body matching the status code).Content-TypeandContent-Lengthare updated accordingly. Whenfalse, only the status line changes.Only responses selected by
TOXICITYare modified; the rest pass through unchanged.Traffic on other ports of the same container is not affected. gRPC responses (which carry status in trailers) are not currently overridden; use Pod API status code for gRPC-style status injection.
Clients that branch on status codes execute their corresponding error-handling paths: retry, fail-fast, prompt for auth, back off, and so on.
Signals to watch
Attach resilience probes to assert each layer:
Status-code distribution: Use a Prometheus probe on the service's HTTP status counter (
http_requests_total{status="503"}) to confirm the injected codes matchSTATUS_CODE.Client retry counter: Use a Prometheus probe on the calling service's retry counter to verify it backs off correctly.
End-user error rate: Use an HTTP probe against the top-level API to detect whether the injected errors leak through to end users.
Verify the fault execution effect
While the experiment is running, confirm the status code is being overridden:
Make a request and inspect the status line.
The status line should equal
HTTP/1.1 <STATUS_CODE> ...on at leastTOXICITYpercent of repeated calls. The body matchesRESPONSE_BODY(or the default for the status code) whenMODIFY_RESPONSE_BODY=true.Confirm the proxy is intercepting the right port.
The proxy listens on
PROXY_PORTand reroutes the configuredTARGET_SERVICE_PORTthrough it for the fault's duration.
Recovery and cleanup
End of duration: The proxy is removed automatically and HTTP status codes return to baseline.
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 reset its network state.
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.
HTTPS without supplied certificates: This fault does not terminate TLS. If the target serves HTTPS and you need to modify encrypted responses, use Pod API status code, which accepts CA, server, and client certificates as TLS inputs.
gRPC status: gRPC carries status in HTTP/2 trailers (
grpc-status), not the HTTP status line. Use Pod API status code when you need to override gRPC status codes.Status codes outside the supported set: Only the codes listed under
STATUS_CODEare supported. Arbitrary three-digit codes are not accepted.Port already bound: If
PROXY_PORTcollides with a port the target container is already using, the fault fails to start. Pick a port number outside the application's range.
Troubleshooting
Related faults
Pod HTTP latency: Slow HTTP responses instead of changing their status code.
Pod HTTP modify body: Overwrite the HTTP response body without changing the status code.
Pod HTTP modify header: Modify or remove HTTP headers on requests and responses.
Pod HTTP reset peer: Reset HTTP TCP connections instead of returning a status code.
Pod API status code: Override status codes with rich path, method, header, source, and destination filters (and HTTPS support via supplied TLS certificates).
Common pod fault tunables: Shared environment variables for selecting target pods and workloads.
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