Cluster Debugging

Debugging Deployed Camunda Clusters

Throughout: $NS = Kubernetes namespace, $RELEASE = Helm release name.

Check Deployment Health

kubectl get pods -n $NS -o wide
kubectl get deployments,statefulsets -n $NS
helm list -n $NS
helm get values $RELEASE -n $NS

Pod states:

Debug Failing Pods

kubectl describe pod <pod-name> -n $NS          # Events section at bottom
kubectl logs <pod-name> -n $NS                   # Main container logs
kubectl logs <pod-name> -n $NS --previous        # Previous crash logs
kubectl logs <pod-name> -n $NS --all-containers  # All containers
kubectl get events -n $NS --sort-by=.lastTimestamp

Standard triage order when a deployment fails:

1. kubectl get pods -n $NS -o wide
2. kubectl describe pod <failing-pod> -n $NS
3. kubectl logs <pod> -n $NS --previous
4. kubectl get events -n $NS --sort-by=.lastTimestamp
5. helm status $RELEASE -n $NS

Pod naming pattern (8.8+):

$RELEASE-zeebe-0/1/2          # Orchestration StatefulSet
$RELEASE-connectors-<hash>    # Connectors
$RELEASE-identity-<hash>      # Identity
$RELEASE-optimize-<hash>      # Optimize
$RELEASE-web-modeler-restapi-<hash>     # Pre-8.10
$RELEASE-web-modeler-websockets-<hash>  # Pre-8.10
$RELEASE-hub-<hash>                     # 8.10+
$RELEASE-hub-websockets-<hash>          # 8.10+
$RELEASE-console-<hash>
$RELEASE-keycloak-0
$RELEASE-postgresql-0

Port-Forward to Services

kubectl port-forward svc/$RELEASE-zeebe-gateway 26500:26500 -n $NS  # gRPC
kubectl port-forward svc/$RELEASE-identity 8084:80 -n $NS
kubectl port-forward svc/$RELEASE-optimize 8083:80 -n $NS
kubectl port-forward svc/$RELEASE-connectors 8085:8080 -n $NS
kubectl port-forward svc/$RELEASE-console 8088:80 -n $NS
kubectl port-forward svc/$RELEASE-keycloak 18080:80 -n $NS
kubectl port-forward svc/$RELEASE-elasticsearch 9200:9200 -n $NS

Manage Secrets

kubectl get secrets -n $NS
kubectl get secret <name> -n $NS -o jsonpath="{.data.<key>}" | base64 -d
kubectl get secret <name> -n $NS -o json | jq '.data | map_values(@base64d)'

Namespace Lifecycle

kubectl create ns $NS --dry-run=client -o yaml | kubectl apply -f -
kubectl delete namespace $NS --wait=true

Post-Uninstall Cleanup

helm uninstall $RELEASE -n $NS
kubectl delete pvc -l app.kubernetes.io/instance=$RELEASE -n $NS

Debugging Spring Boot Config via /actuator/configprops

Most Camunda components (Orchestration/Zeebe, Operate, Tasklist, Identity, Optimize, Connectors, Web Modeler) are Spring Boot apps. When a configmap or env var isn't doing what you expect, verify the effective bound @ConfigurationProperties via the /actuator/configprops endpoint — this is the source of truth for what Spring actually resolved, and will reveal typos in env var names, wrong relaxed-binding forms, and values that never made it into a bean.

Enable the endpoint + show values

By default configprops is not exposed and values are masked. Add these env vars to the target container:

        - name: MANAGEMENT_ENDPOINTS_WEB_EXPOSURE_INCLUDE
          value: health,info,metrics,prometheus,configprops
        - name: MANAGEMENT_ENDPOINT_CONFIGPROPS_SHOW_VALUES
          value: ALWAYS

SHOW_VALUES=ALWAYS exposes passwords, tokens, and connection strings in the response. Use only for local/debug namespaces — never leave this on a shared or production cluster.

Patch a running workload

StatefulSets and Deployments restart their pods automatically when spec.template changes.

# StatefulSet (8.8+ orchestration/zeebe, keycloak, postgresql)
kubectl edit statefulset $RELEASE-zeebe -n $NS

# Deployment (identity, optimize, connectors, console, web-modeler-*)
kubectl edit deployment $RELEASE-identity -n $NS

Add both entries under spec.template.spec.containers[0].env. Or patch non-interactively:

kubectl patch statefulset $RELEASE-zeebe -n $NS --type=json -p='[
  {"op":"add","path":"/spec/template/spec/containers/0/env/-","value":{"name":"MANAGEMENT_ENDPOINTS_WEB_EXPOSURE_INCLUDE","value":"health,info,metrics,prometheus,configprops"}},
  {"op":"add","path":"/spec/template/spec/containers/0/env/-","value":{"name":"MANAGEMENT_ENDPOINT_CONFIGPROPS_SHOW_VALUES","value":"ALWAYS"}}
]'

kubectl rollout status statefulset/$RELEASE-zeebe -n $NS

Note: a subsequent helm upgrade will revert these edits.

Query the endpoint

Most components expose actuator on a dedicated management port (verified from charts/camunda-platform-8.10/values.yaml):

Exec into the pod (no port-forward needed):

kubectl exec -n $NS $RELEASE-zeebe-0 -- \
  curl -s http://localhost:9600/actuator/configprops | jq .

# Filter to a specific prefix (e.g., camunda.*)
kubectl exec -n $NS $RELEASE-zeebe-0 -- \
  curl -s http://localhost:9600/actuator/configprops \
  | jq '.. | objects | select(.prefix? | strings | startswith("camunda"))'

Or port-forward:

kubectl port-forward -n $NS statefulset/$RELEASE-zeebe 9600:9600
curl -s http://localhost:9600/actuator/configprops | jq .

Always try both with and without a context path — it's inconsistent across components. Some serve actuator at the root (/actuator/...), others behind a server or management context path (e.g. /operate/actuator/..., /tasklist/actuator/..., /identity/actuator/..., /optimize/api/actuator/...). If one 404s, try the other before assuming the endpoint isn't enabled:

# Probe root first, then common context paths
for p in "" "/operate" "/tasklist" "/identity" "/optimize/api" "/console" "/modeler"; do
  echo "== ${p}/actuator/configprops =="
  kubectl exec -n $NS <pod> -- curl -s -o /dev/null -w "%{http_code}\n" \
    "http://localhost:<mgmt-port>${p}/actuator/configprops"
done

You can also discover the correct prefix from /actuator itself (the discovery endpoint), which lists the absolute href for every exposed endpoint:

kubectl exec -n $NS <pod> -- curl -s http://localhost:<mgmt-port>/actuator | jq '._links'
# If that 404s, retry with each candidate context path above.

Workflow for diagnosing a misconfiguration

1. Identify the Spring property you believe you're setting (e.g., camunda.database.url).
2. Apply the env vars above and wait for the pod to restart.
3. Hit /actuator/configprops and search for the prefix — confirm the value bound to the bean matches what you expect.
4. If it's missing or wrong, the env var name is likely mis-cased or using the wrong relaxed-binding form (Spring maps CAMUNDA_DATABASE_URL → camunda.database.url).
5. Revert the debug env vars (especially SHOW_VALUES=ALWAYS) once done.

Headless JVM Remote Debugging with jdb

When a stacktrace in the logs tells you where code failed but not why — the values of locals, fields, or caller arguments at that line — attach a headless debugger to the running pod. JDWP lets you set a breakpoint and inspect state without rebuilding or redeploying.

All Camunda components listed under the configprops section above are JVM apps and work with this.

Step 1 — Enable JDWP on the target

Prefer a single-replica Deployment — patching a StatefulSet triggers a rolling restart of every replica.

Add the JDWP agent via JAVA_TOOL_OPTIONS and expose a container port. suspend=n is critical — suspend=y hangs the JVM at startup until a debugger attaches.

kubectl -n $NS patch deploy integration-optimize --type=json -p='[
  {"op":"add","path":"/spec/template/spec/containers/0/env/-","value":{"name":"JAVA_TOOL_OPTIONS","value":"-agentlib:jdwp=transport=dt_socket,server=y,suspend=n,address=*:5005"}},
  {"op":"add","path":"/spec/template/spec/containers/0/ports/-","value":{"containerPort":5005,"name":"jdwp","protocol":"TCP"}}
]'
kubectl -n $NS rollout status deploy/integration-optimize

For StatefulSets (zeebe, keycloak, postgresql), substitute statefulset/<name>.

A subsequent helm upgrade reverts these edits. Also note: JDWP exposes every local and field to anyone on the port — passwords, tokens, connection strings included. Only port-forward to localhost; never expose via a Service or Ingress. Revert the patch when done.

Step 2 — Port-forward and attach

POD=$(kubectl -n $NS get pod -l app.kubernetes.io/name=optimize -o jsonpath='{.items[0].metadata.name}')
kubectl -n $NS port-forward $POD 15005:5005 &

# -sourcepath enables jdb's `list` command; `print`/`where`/`locals` work without it
SRC=/path/to/camunda/<module>/src/main/java
jdb -sourcepath "$SRC" -attach localhost:15005

Step 3 — Set a breakpoint and inspect

stop in <fqcn>.<method>     # breakpoint by method (matches any overload)
stop at <fqcn>:<line>       # breakpoint by line
where                        # current thread's stack
locals                       # method arguments + local vars in frame 1
print <expr>                 # evaluate; use `this.<field>` for instance fields
dump <expr>                  # print with nested fields expanded
threads                      # list all threads
thread <id>                  # switch current thread
clear <fqcn>.<method>        # remove breakpoint — do this BEFORE `cont` on hot paths
cont                         # resume
exit                         # detach; VM keeps running because suspend=n

Method invocation (print service.someCall(), print this.getIndexAlias()) requires the current thread to be suspended at the breakpoint. If jdb reports IncompatibleThreadStateException or Thread not suspended, the thread already resumed — on hot paths the BP gets re-hit on many threads and "current thread" shifts out from under you. Clear the breakpoint immediately after the first hit to avoid this.

Driving jdb headlessly — use expect

Don't pipe commands into jdb (tail -f cmdfile | jdb, heredocs) — it races VM-state transitions: jdb consumes queued commands from stdin faster than the VM switches between running and suspended, so clear + cont execute before your print commands and every inspection fails with Current thread isn't suspended / Thread not suspended.

Fix: use expect and pattern-match on Breakpoint hit / the thread-suspended prompt (<thread-name>[1]) before sending each dump command. Without expect, fall back to: (a) poll the jdb output file for Breakpoint hit before sending any print; (b) send prints one at a time with short waits between; (c) send clear and cont last. Interactive jdb works fine and is simpler for one-off debug sessions — reach for scripting only when you need to automate repeated runs.

Revert when done

# list the env/port array indices first so you remove the right ones
kubectl -n $NS get deploy integration-optimize -o json \
  | jq '.spec.template.spec.containers[0] | {env, ports}'
# then patch with `"op":"remove"` on the specific indices, or just wait for the next helm upgrade