Pod JVM method latency
Add a configurable delay to every invocation of a specific Java method in a JVM running in a target Kubernetes pod so you can test how callers and dependents behave under slow methods.
Pod JVM method latency is a Kubernetes pod-level chaos fault that adds a configurable delay to every invocation of a specific Java method in a JVM running in a target container for a configurable duration. Only the named method is slowed; all other code paths run at normal speed. When the fault ends, the method returns to its normal latency immediately.
Use this fault to test how callers and dependents behave when a specific method becomes slow: a database wrapper hitting a slow query, a third-party SDK on a degraded link, or a business-logic method blocked on a slow lock.
Use cases
Run this fault when you want to answer concrete questions like:
Timeout-budget validation: When the method takes 2 seconds instead of 20 ms, do callers honor their timeouts or hang?
Thread-pool saturation: Does slow method invocation block worker threads enough to stall the application?
Tail-latency budget: Does the added method latency push end-to-end p99 over your SLO?
Caller fallback paths: If the method represents a non-critical call, does the application skip it and continue, or block on the slow path?
Bulk-operation impact: For methods called in batch loops, does the cumulative delay produce timeouts or out-of-memory pressure as queues grow?
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 method latency 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 to add latency to.
(required)
Chaos parameters
LATENCY
Delay to add to each invocation of the target method, in milliseconds.
2000
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 blocks for LATENCY milliseconds before returning, for TOTAL_CHAOS_DURATION seconds.
Expected behavior during fault execution
Every call to the named method takes longer by approximately
LATENCYms. Other methods run normally.Caller-side metrics (request latency, queue depth, in-flight requests) rise to reflect the added delay.
Clients with timeouts shorter than
LATENCYcancel the call and may retry.Thread-pool-bound applications saturate quickly if many concurrent callers wait on the slow method.
Tracing systems show the method span growing by
LATENCY; downstream spans are unchanged.
Signals to watch
Attach resilience probes to assert each layer:
Method-level latency: Use a Prometheus probe on the method's p99 duration to confirm the rise matches
LATENCY.Caller timeouts: Use an HTTP probe against endpoints that exercise the method to detect rising timeouts.
Pod readiness: Use a Kubernetes probe to fail when the target pod oscillates
NotReady.
Verify the fault execution effect
While the experiment is running, confirm the method is slower:
Time a request that calls the method.
time_totalshould rise by approximatelyLATENCYms.Confirm method span in tracing.
In your APM, the configured method span should be roughly
LATENCYms longer than its baseline.
Recovery and cleanup
End of duration: The method returns to its normal latency automatically.
Abort the experiment: Stopping the experiment from Chaos Studio triggers the same cleanup path.
Stuck threads: If the application is wedged because of saturated thread pools, restart the pod.
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; run with
-XX:-Inlinefor verification if needed.Method overloads: Only the method name is matched. All overloads with the same name are affected.
Troubleshooting
Related faults
Pod JVM method exception: Make the method throw instead of slowing it.
Pod JVM modify return: Modify the return value of a Java method.
Pod application function latency: Language-agnostic function-level latency for instrumented applications.
Common pod fault tunables: Shared environment variables for selecting target pods and workloads.
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