Pod JVM modify return
Override the return value of a specific Java method in a JVM running in a target Kubernetes pod so you can test how callers behave when a method silently returns wrong data.
Pod JVM modify return is a Kubernetes pod-level chaos fault that overrides the return value of a specific Java method in a JVM running in a target container for a configurable duration. The method runs as usual but returns the configured value instead of its real result. When the fault ends, the method returns its real result again immediately.
Use this fault to test how callers handle silently wrong data: a feature flag that always returns true, an authorization check that always returns false, a price lookup that returns a stale value, or a serialization helper that returns null.
Use cases
Run this fault when you want to answer concrete questions like:
Null-safety coverage: When the method returns
nullinstead of an object, does the caller crash withNullPointerExceptionor handle it gracefully?Boolean-flag flipping: Force a feature flag, permission check, or rate-limit decision to a specific value and verify downstream behavior.
Stale-data handling: Return an outdated value and confirm whether caches, validation, or staleness checks catch it.
Type-coercion bugs: Return an edge-case value (empty string, zero,
MAX_VALUE) and look for unguarded parsing or arithmetic.Defensive copying: If the method returns a mutable collection, a forced empty or shared instance can expose bugs in callers that assume per-call uniqueness.
Prerequisites
Kubernetes version: 1.21 or later. Go to What's supported to confirm distribution support.
Target pod is Running: The Java application pod is in the
Runningstate.Java agent attach available: The Java process allows agent attach. Utilities such as
ps,pgrep, andbashare present in the container, and the JVM is not built with a restricted runtime that strips attach modules.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).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 JVM modify return to an experiment in Chaos Studio. Defaults are shown for reference.
Required parameters
CLASS
Fully qualified class name containing the target method (for example com.example.payments.PaymentService).
(required)
METHOD
Name of the method whose return value to override.
(required)
RETURN
Value to return from the method. Must be compatible with the method's declared return type. Use null for nullable references, a quoted string for String, or a numeric literal for primitives.
(required)
Chaos parameters
TOTAL_CHAOS_DURATION
Duration of the fault in seconds.
60
JVM
BYTEMAN_PORT
Port on which the Byteman agent listens inside the container. Must not conflict with any port already in use.
9091
JAVA_HOME
Absolute path to the Java installation inside the container. Empty auto-detects from PATH.
""
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 running the JVM. 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
Common pod selection tunables (TARGET_WORKLOAD_KIND, TARGET_WORKLOAD_NAMESPACE, TARGET_WORKLOAD_NAMES, TARGET_WORKLOAD_LABELS) are documented in common pod fault tunables. Tunables that apply to every 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
Attaches a Java agent to the target JVM and instruments CLASS.METHOD so that each invocation runs as usual but returns the value in RETURN to the caller, for TOTAL_CHAOS_DURATION seconds.
Expected behavior during fault execution
Every call to the named method returns the configured value. Side effects of the real method execution (writes, network calls, state mutations) still happen.
Direct callers see the overridden value and may branch differently, throw
NullPointerException, or pass the wrong value downstream.Tracing systems see the method span complete successfully; only the return value is unusual.
Self-consistency invariants (
if (getX() == lookUpX()) ...) may fail silently.
Signals to watch
Attach resilience probes to assert each layer:
Caller error rate: Use an HTTP probe against endpoints that consume the method's return value to detect downstream failures.
Method invariants: Use a Prometheus probe on application metrics that should be sensitive to the overridden value.
Application logs: Use a command probe to grep for unexpected
NullPointerExceptionor coercion errors.
Verify the fault execution effect
While the experiment is running, confirm the overridden return:
Exercise the method from a client.
The response should reflect the overridden value.
Compare against baseline.
Capture the same endpoint's response before the fault starts and after it ends; only the fault window should show the overridden behavior.
Recovery and cleanup
End of duration: The method returns its real result again automatically.
Abort the experiment: Stopping the experiment from Chaos Studio triggers the same cleanup path.
Cached overridden value: If the caller cached the overridden return, the application may keep using the wrong value until the cache refreshes; clear the cache or restart the pod if needed.
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.
Non-JVM processes: This fault targets a Java process.
Inlined methods: Methods inlined by the JIT compiler may not be interceptable.
Method overloads: Only the method name is matched. If multiple overloads with different return types share a name, only those whose return type is compatible with
RETURNwork as expected.
Troubleshooting
Related faults
Pod JVM method exception: Throw an exception from the method instead of overriding the return.
Pod JVM method latency: Add latency to a method invocation.
Pod application function error: Language-agnostic function-level error for instrumented applications.
Common pod fault tunables: Shared environment variables for selecting target pods and workloads.
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