Pod JVM Solace exception
Cause Solace publisher or subscriber calls from a JVM running in a target Kubernetes pod to throw a configurable exception on a chosen topic or queue so you can test caller error handling.
Pod JVM Solace exception is a Kubernetes pod-level chaos fault that causes Solace messaging calls from a JVM running in a target container to throw a configurable exception on a chosen destination and client mode for a configurable duration. Only matched calls fail; other Solace traffic and other code paths run normally. When the fault ends, Solace calls behave normally again immediately.
Use this fault to test how a Java service handles Solace messaging failures: a broker rejecting publishes, a subscriber that fails deserialization, or a JMS session error.
Use cases
Run this fault when you want to answer concrete questions like:
Publisher error handling: When publish throws on a critical destination, does the application retry, buffer, or drop the message?
Subscriber poison messages: Simulate processing errors on the subscriber side and verify dead-letter or skip semantics.
JMS vs native API: Verify behavior of
jmsand other approaches on the same destination.Destination scope: Confirm that failing one destination does not unintentionally fail other destinations on the same client.
Observability coverage: Do publisher-error metrics and dashboards surface the failure clearly?
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.Solace client in classpath: The target JVM uses a supported Solace Java messaging client (for example the Solace JMS client) and exercises the configured
STREAM,SOLACE_DESTINATION_TYPE,SOLACE_MODE, andSOLACE_APPROACH.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 Solace exception to an experiment in Chaos Studio. Defaults are shown for reference.
Solace filters
STREAM
Name of the Solace topic or queue to target.
""
SOLACE_MODE
Client mode to target. One of publisher (publish-side) or subscriber (subscribe-side).
"publisher"
SOLACE_DESTINATION_TYPE
Destination type. One of topic or queue.
"topic"
SOLACE_APPROACH
Client API approach. For example jms.
"jms"
TRANSACTION_PERCENTAGE
Percentage of matched Solace operations to fail, between 0 and 100. 0 fails none; 100 fails every match.
0
Exception
EXCEPTION_CLASS
Exception class to throw. Defaults to a common runtime exception.
"IllegalArgumentException"
EXCEPTION_MESSAGE
Message attached to the thrown exception.
"CHAOS BOOM!"
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 intercepts Solace client operations matching STREAM, SOLACE_MODE, SOLACE_DESTINATION_TYPE, and SOLACE_APPROACH to throw an instance of EXCEPTION_CLASS with EXCEPTION_MESSAGE on the configured percentage of calls, for TOTAL_CHAOS_DURATION seconds.
Expected behavior during fault execution
Matched Solace operations throw the configured exception. Other destinations and the unmatched mode run normally.
Application logs show stack traces from the configured exception class.
The Solace broker is not stressed; from the broker's perspective, no real message was published or consumed for the failed calls.
Tracing systems show the Solace span ending in error.
Signals to watch
Attach resilience probes to assert each layer:
Publisher error rate: Use a Prometheus probe on your application's Solace error counter.
Subscriber error rate and queue depth: Use a Prometheus probe on subscriber processing counters to detect failed handlers.
Application logs: Use a command probe to grep for the configured
EXCEPTION_MESSAGE.
Verify the fault execution effect
While the experiment is running, confirm operations are failing:
Exercise the matched code path from a client.
Confirm the exception in logs.
Recovery and cleanup
End of duration: Solace calls behave normally again automatically.
Abort the experiment: Stopping the experiment from Chaos Studio triggers the same cleanup path.
Backlog drainage: Allow time for normal processing to drain any backlog, or scale subscribers temporarily 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 and non-Solace workloads: This fault targets Solace Java messaging clients inside a JVM.
Troubleshooting
Related faults
Pod JVM Solace latency: Add latency to Solace calls instead of failing them.
Pod JVM Kafka exception: Kafka equivalent for the Apache Kafka Java client.
Pod JVM method exception: Generic Java method-level exception injection.
Common pod fault tunables: Shared environment variables for selecting target pods and workloads.
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