Pod JVM Solace latency
Pod JVM Solace latency is a Kubernetes pod-level chaos fault that adds a configurable delay to Solace messaging calls from a JVM running in a target container, scoped to a chosen destination and client mode, for a configurable duration. Only matched calls are slowed; other Solace traffic and other code paths run at normal speed. When the fault ends, Solace calls return to baseline latency immediately.
Use this fault to test how a Java service behaves when Solace becomes slow on a specific code path: a broker under heavy load, a slow subscriber that affects flow control, or a degraded link to the broker on one destination.
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:
- Publisher timeout sensitivity: When publish takes 2 seconds instead of 50 ms, does the application respect timeouts and shed load, or does it block?
- Subscriber back-pressure: Slow processing on the subscriber side and verify whether flow control prevents the broker from over-delivering.
- Queue-depth growth: Confirm whether slow subscribers cause queues to back up and how the application reacts.
- End-to-end SLO impact: Does the added Solace latency push request p99 over your SLO?
- Circuit breaker behavior: Does a circuit breaker around the slow operation trip and recover correctly when the fault ends?
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.
This fault attaches a Byteman agent to the target JVM over BYTEMAN_PORT. The port must be reachable from the chaos pod and must not be in use by the application.
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 Pod JVM Solace latency to an experiment in Chaos Studio. Defaults are shown for reference.
Solace filters
| Tunable | Description | Default |
|---|---|---|
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 delay, between 0 and 100. 0 delays none; 100 delays every match. | 0 |
Chaos parameters
| Tunable | Description | Default |
|---|---|---|
LATENCY | Delay to add to each matched operation, in milliseconds. | 2000 |
TOTAL_CHAOS_DURATION | Duration of the fault in seconds. | 60 |
JVM
| Tunable | Description | Default |
|---|---|---|
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
| 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 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
| 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 |
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.
Publisher-side latency surfaces as slow publish calls. Subscriber-side latency surfaces as slow message handling and growing queue depth. Target the mode that matches the failure you want to validate.
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 add LATENCY milliseconds to each matched call on the configured percentage, for TOTAL_CHAOS_DURATION seconds.
Expected behavior during fault execution
- Matched Solace operations take longer by approximately
LATENCYms. Other destinations and the unmatched mode run normally. - Caller-side metrics (request latency, queue depth, in-flight count) rise to reflect the added delay.
- Clients with timeouts shorter than
LATENCYcancel the call and may retry. - Subscriber applications may see growing queue depth on the broker if processing slows below the publish rate.
- Tracing systems show the matched Solace span growing by
LATENCYms.
Solace calls return to baseline latency immediately. Calls in flight finish at the delayed time and then the system returns to normal.
Signals to watch
Attach resilience probes to assert each layer:
- Publish latency: Use a Prometheus probe on your application's Solace latency metric.
- Subscriber queue depth: Use a Prometheus probe on broker-side queue depth to detect backlog growth.
- End-to-end latency: Use an HTTP probe against an endpoint that triggers a publish.
Verify the fault execution effect
While the experiment is running, confirm operations are slower:
-
Time a request that triggers the matched operation.
kubectl run -n <namespace> tester --image=nicolaka/netshoot --rm -it -- \curl -w "time=%{time_total}\n" -o /dev/null -s http://<service>:<port>/<endpoint> -
Confirm in tracing.
The Solace span for the matched operation should be approximately
LATENCYms longer than its baseline.
Recovery and cleanup
- End of duration: Solace calls return to baseline latency automatically.
- Abort the experiment: Stopping the experiment from Chaos Studio triggers the same cleanup path.
- Backlog drainage: Allow time for normal processing to drain queue depth that built up during the fault, 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
Pod JVM Solace latency experiment stays Pending or never starts in Harness Chaos Engineering
Inspect the chaos pods in the experiment namespace with kubectl describe pod -n <chaos-namespace>. 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 or run in a namespace with privileged Pod Security level.
No latency observed during pod-jvm-solace-latency
The most common causes are: STREAM does not match the topic or queue name; SOLACE_MODE does not match what the application uses; SOLACE_DESTINATION_TYPE or SOLACE_APPROACH do not match the client library; or TRANSACTION_PERCENTAGE is 0 (default). Re-run with TRANSACTION_PERCENTAGE=100 and a larger LATENCY to confirm.
Connection to container runtime fails for pod-jvm-solace-latency 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.
Related faults
- Pod JVM Solace exception: Throw an exception from Solace calls instead of slowing them.
- Pod JVM Kafka latency: Kafka equivalent for the Apache Kafka Java client.
- Pod JVM method latency: Generic Java method-level latency injection.
- Common pod fault tunables: Shared environment variables for selecting target pods and workloads.