Answers "why did this pod crash?" from live cluster state — no copy-pasting describe
or logs output anywhere.
Status: pre-1.0. CLI flags and chart values may still change between minor versions; the 18 cause codes are the stable part of the contract. The tool has not yet been exercised against real production clusters at scale. Not yet in the krew index, so
kubectl krew install crashcausedoes not work yet — install from the released plugin manifest as shown under Install. SeeCHANGELOG.mdfor what shipped.
Diagnosing a crashing pod today is a manual ritual: kubectl describe, kubectl logs --previous, scrolling through events, and eyeballing metrics to correlate a restart with
an OOM kill or a failed probe. crashcause automates that correlation and turns the
cause of a crash — not just the fact that one happened — into a first-class, queryable
signal.
Two things differentiate it from "paste your logs into a UI" tools:
- Zero copy-paste, live-cluster. It talks to the Kubernetes API directly: pod status,
container states, events, previous-container logs, and node conditions. You point it at
a pod (or a cluster, for
watch); it collects the evidence itself. - Native observability integration. Crash causes —
oom_killed,probe_liveness_failure,config_missing_reference, and so on — become a Prometheus metric label and a structured log field, not just prose in a report. Wherekube-state-metricstells you a pod is inCrashLoopBackOff,crashcausetells you why, as a queryable dimension:oom_killedvs.probe_liveness_failurevs.config_missing_reference, filterable and alertable in Grafana with no extra tooling.
Every diagnosis carries one of 18 stable, snake_case cause codes
(internal/engine/types.go). They are part of the tool's external contract: once
released, a code's meaning does not change.
All 18 cause codes (the stable contract)
| Cause code | Meaning |
|---|---|
oom_killed |
Container's last termination reason was exactly OOMKilled (kernel cgroup attribution). Never inferred from a bare exit 137 — usage data isn't recoverable after the fact from the Kubernetes API. |
sigkill_unattributed |
Exit code 137 (SIGKILL) without reason=OOMKilled and without the pod being deleted. Suspects: a node-level OOM kill that wasn't cgroup-attributed, or an external SIGKILL. |
evicted |
Pod status reason is Evicted; the eviction message is parsed for the pressured resource (memory/disk/pids). |
probe_liveness_failure |
A Killing event plus Unhealthy (liveness) events — the liveness probe killed the container. |
probe_startup_failure |
Unhealthy (startup) events plus a restart; flags a too-tight failureThreshold x periodSeconds against observed startup time when derivable. |
image_pull_auth |
ErrImagePull/ImagePullBackOff with a message matching authorization failure (401/403, "pull access denied"). |
image_pull_not_found |
Image pull failure with a message matching "not found" / "manifest unknown". |
image_pull_other |
Any other pull failure: timeout, TLS error, registry quota, etc. |
security_context_violation |
CreateContainerConfigError where the kubelet message shows a securityContext rejection: runAsNonRoot: true against an image that runs as root (or declares a non-numeric user). The image pulled fine — the container was refused by a pre-start config check and never started. |
config_missing_reference |
CreateContainerConfigError — a referenced ConfigMap/Secret/key doesn't exist; the message identifies which one. securityContext rejections are reported as security_context_violation, not this code. |
volume_mount_failure |
FailedMount / FailedAttachVolume events. |
init_container_failure |
An init container terminated non-zero; the failure is re-classified using only init-applicable rules. |
init_container_stuck |
An init container has been Running for longer than --init-stuck-threshold (default 10m) without completing, or activeDeadlineSeconds was exceeded. Not a crash — a pod stuck at Init:N/M. |
unschedulable |
Pod is Pending with FailedScheduling events; the message is parsed to distinguish insufficient resources, node-affinity mismatch, untolerated taints, or volume zone conflicts. Requires no logs and no extra RBAC. |
app_exit_nonzero |
A clean application-level crash: exit code 1, 2, or another non-zero code with no Kubernetes-side cause. Log-tail patterns (panic:, Fatal, ECONNREFUSED, OutOfMemoryError, MODULE_NOT_FOUND, segfault/exit 139, etc.) refine the explanation. This is the primary input to the optional AI layer. |
sigkill_after_grace |
Exit 137 on a pod with a deletionTimestamp set — the app did not stop on SIGTERM before its termination grace period expired. Application-only, high confidence. |
completed_restart_loop |
Exit code 0 with restartPolicy: Always on what looks like a run-to-completion workload — it keeps "succeeding" and restarting forever. |
unknown |
Nothing matched confidently. Evidence collected so far is still reported; the AI layer (if enabled) is the suggested next step. |
Two related behaviors worth calling out explicitly because they are easy to get wrong by
hand: exit code 143 during a rolling deploy, scale-down, or deletion is normal pod
lifecycle (the pod has a deletionTimestamp, or its owner is mid rolling-update) and is
deliberately not reported at all — otherwise every deploy would look like a stream of
crash findings. Exit 143 outside any deletion context (something inside the container
sent itself a SIGTERM) is folded into app_exit_nonzero evidence at low confidence
instead of being invented as its own cause.
The full walkthrough — with a kind cluster config and one manifest per cause code
(OOM kill, bad liveness probe, missing Secret reference, bad image tag, an unschedulable
resource request, and a stuck init container) — lives in
examples/kind-demo/README.md. Headline commands:
# 1. stand up a disposable cluster
kind create cluster --config examples/kind-demo/kind-config.yaml
# 2. build the binary
go build -o bin/crashcause ./cmd/crashcause
# 3. break some pods on purpose
kubectl apply -f examples/kind-demo/namespace.yaml
kubectl apply -f examples/kind-demo/oom.yaml -f examples/kind-demo/bad-probe.yaml \
-f examples/kind-demo/missing-secret.yaml -f examples/kind-demo/bad-image.yaml \
-f examples/kind-demo/unschedulable.yaml -f examples/kind-demo/stuck-init.yaml
# 4. ask crashcause why
./bin/crashcause inspect oom-demo -n crashcause-demoSee the demo README for the full manifest-to-cause-code mapping, timing notes for each scenario, and cleanup instructions.
crashcause is not in the krew index yet, so kubectl krew install crashcause does not
work. Until the index entry lands, install from the plugin manifest published with each
release — the latest URL below always resolves to the newest release's manifest, which
points at that release's archives and verifies their sha256. (--manifest-url is krew's
development-only install path; it works fine here, it just isn't how a published plugin
is normally fetched.)
kubectl krew install --manifest-url=https://github.com/ryckakas/crashcause/releases/latest/download/crashcause.yamlPrebuilt linux/darwin amd64/arm64 archives (plus checksums.txt and SBOMs) are
attached to every release at
github.com/ryckakas/crashcause/releases
if you would rather drop the binary on your PATH yourself — name it kubectl-crashcause
to get the kubectl crashcause subcommand form without krew.
Or build/install from source with Go 1.25+ (any Go ≥ 1.21 also works — the
go command auto-downloads the toolchain pinned in go.mod):
go install github.com/ryckakas/crashcause/cmd/crashcause@latest
# or, from a checkout:
go build -o bin/crashcause ./cmd/crashcauseThe chart is published as an OCI artifact to GitHub Container Registry:
helm install crashcause oci://ghcr.io/ryckakas/charts/crashcause \
-n crashcause --create-namespace \
-f my-values.yamlHelm resolves the newest published chart version; add --version X.Y.Z to pin a
specific release. helm show values oci://ghcr.io/ryckakas/charts/crashcause prints the
full default values, and charts/crashcause/README.md
is the full values reference.
Example values files and notable keys
To install from a checkout instead — for local development, or to try chart changes before they are released:
helm install crashcause ./charts/crashcause -n crashcause --create-namespace \
-f my-values.yamlA minimal values file, watching everything with the default sinks:
# my-values.yaml
watch:
namespaces: [] # empty = all namespaces
reemitInterval: 1h
dedupTTL: 6h
logCollection:
enabled: true
rateLimitPerMinute: 10
metrics:
enabled: true
addr: ":9090"A locked-down values file for a namespace you don't want the controller reading logs
from at all — note that logCollection.enabled: false removes the pods/log RBAC verb
from the chart's ClusterRole entirely, it does not just leave it configured off:
# my-values.locked-down.yaml
watch:
namespaces: ["payments", "checkout"]
selector: "team=platform"
logCollection:
enabled: false # controller CANNOT read pod logs; RBAC rule is omitted
ai:
enabled: false # no AI layer for this namespace scope
metrics:
enabled: true
addr: ":9090"
serviceMonitor:
enabled: falseNotable values.yaml keys: watch.namespaces, watch.selector, watch.reemitInterval,
watch.dedupTTL, watch.previousLines, watch.initStuckThreshold,
logCollection.enabled, logCollection.namespaces, logCollection.rateLimitPerMinute,
metrics.enabled, metrics.addr, serviceMonitor.enabled, serviceMonitor.labels,
serviceMonitor.skipCapabilityCheck, loki.url, loki.existingSecret, ai.enabled,
ai.provider, ai.url, ai.namespaces (empty = nothing summarized, ["*"] = whole
cluster — see AI layer below), ai.redact,
ai.redactIPs, ai.existingSecret, ai.secretKey, leaderElection.enabled,
replicas. serviceMonitor.skipCapabilityCheck (default false) lets helm template
render the ServiceMonitor without a live cluster connection — useful for GitOps
pipelines that template offline, where the chart can't check whether the
monitoring.coreos.com/v1 CRD is actually installed; without it (or a real CRD check
passing), enabling serviceMonitor against an offline template run fails loudly rather
than rendering a resource the cluster can't accept. See
charts/crashcause/README.md for the full reference,
and the AI layer and
Security & RBAC sections below for what those keys actually control.
crashcause inspect <pod> [flags]Exit codes: 0 diagnosed, 2 pod exists but isn't crashing (nothing to diagnose), 1
error. See the Exit codes section for the full table.
inspect flags
| Flag | Default | Meaning |
|---|---|---|
-c, --container |
(unset) | Restrict the diagnosis to one container. By default every container that warrants diagnosis is reported. |
--output |
human |
human or json. |
--previous-lines |
60 |
Lines to fetch from the previous container's log tail. |
--init-stuck-threshold |
10m |
How long an init container may run before it's reported as init_container_stuck. |
--verbose |
false |
Report every rule that matched, not just the primary diagnosis. |
--ai |
false |
Enable the optional AI summary (see AI layer). |
-n, --namespace, --kubeconfig, --context, ... |
— | Standard k8s.io/cli-runtime kubeconfig flags (krew-compatible). |
--log-level (root, persistent) |
info |
debug|info|warn|error. |
The human report is compact and evidence-first: cause, confidence, a plain-language explanation, evidence bullets, and suggested next steps. The output below is an illustration of the report format, not a transcript of a real run:
crashcause-demo/oom-demo container app — oom_killed (high confidence)
Container was OOM-killed: last termination reason was OOMKilled with exit code 137.
Memory limit was 16Mi.
Evidence:
- last state: terminated, reason=OOMKilled, exitCode=137
- restartCount: 4
- limit: memory=16Mi
Next steps:
- Raise the memory limit or reduce the workload's memory footprint
- Check node MemoryPressure conditions if this recurs across pods
--output json shape
--output json emits one Report document per invocation, with the field names as they
appear in internal/engine/types.go's Diagnosis:
{
"pod": "oom-demo",
"namespace": "crashcause-demo",
"diagnoses": [
{
"cause": "oom_killed",
"confidence": "high",
"explanation": "Container was OOM-killed: last termination reason was OOMKilled with exit code 137. Memory limit was 16Mi.",
"evidence": [
"last state: terminated, reason=OOMKilled, exitCode=137",
"restartCount: 4",
"limit: memory=16Mi"
],
"next_steps": [
"Raise the memory limit or reduce the workload's memory footprint",
"Check node MemoryPressure conditions if this recurs across pods"
],
"container": "app",
"pod": "oom-demo",
"namespace": "crashcause-demo",
"owner": {"kind": "Deployment", "name": "oom-demo"},
"timestamp": "2026-08-02T12:00:00Z",
"ai_summary": null
}
]
}ai_summary is always present in the JSON shape (nullable) and is only non-null when
--ai was passed and the provider call succeeded. A healthy pod (exit 2) still emits a
well-formed document with "diagnoses": [] in JSON mode, so jq '.diagnoses | length'
never breaks on a healthy pod.
crashcause watch [flags]Every diagnosis goes to stdout as one JSON object per line — always on, so any team
already scraping container stdout (promtail, vector, fluent-bit) gets structured
crash-cause data with no direct-push configuration at all. --metrics-addr adds a
Prometheus endpoint with exactly two intentionally low-cardinality metrics
(crashcause_diagnoses_total{namespace, owner_kind, owner_name, cause} and
crashcause_log_fetches_skipped_total), and --loki-url adds a direct Loki push.
Emission for the log-style sinks is deduplicated per workload; the Prometheus counter
increments on every observed crash regardless. The full sink reference — cardinality
discipline, Loki auth and backpressure, and the dedup model — lives in
docs/sinks.md. Example Grafana dashboard and Prometheus alert
rules: examples/grafana-dashboard.json,
examples/prometheus-alerts.yaml.
watch flags
| Flag | Default | Meaning |
|---|---|---|
--namespaces |
(all) | Namespaces to watch (allowlist). |
--selector |
(unset) | Label selector to filter watched pods. |
--metrics-addr |
(disabled) | Address to serve /metrics on, e.g. :9090. Enables the Prometheus sink. |
--loki-url |
(disabled) | Loki push URL. Enables the Loki sink. |
--reemit-interval |
1h |
Minimum interval before re-emitting an unchanged diagnosis for the same container. |
--dedup-ttl |
6h |
How long a diagnosis is remembered for dedup purposes. |
--collect-logs |
true |
Whether to fetch previous-container logs at all. |
--log-namespaces |
(all) | Namespaces log collection is allowed in. |
--log-rate-limit |
10 |
Max pod-log fetches per minute (client-side token bucket). |
--previous-lines |
60 |
Log tail length passed to the engine and (if enabled) the AI layer. |
--init-stuck-threshold |
10m |
Same meaning as in inspect. |
--leader-elect |
false |
Enable leader election so only one replica is active. |
--leader-election-namespace |
$POD_NAMESPACE, else default |
Namespace holding the leader-election Lease. |
--leader-election-id |
crashcause |
Name of the leader-election Lease. |
--health-addr |
:8081 |
Address serving /healthz and /readyz. |
--ai-namespaces |
(empty: AI off everywhere) | Namespace allowlist for AI summarization. Empty keeps AI inert in every namespace, even with --ai set; pass "*" to opt the whole cluster in. |
--ai, --ai-provider, --ai-url, --ai-model, --ai-timeout, --ai-redact, --ai-redact-ips, --ai-redact-extra |
see docs/ai-layer.md |
Shared AI flags, identical to inspect. |
--ai / ai.enabled turn on an optional layer that sends the (already-truncated) log
tail and diagnosis evidence to an LLM for a short natural-language summary — useful
mainly when the rule engine lands on app_exit_nonzero or unknown, where the "cause"
is an application bug the rules can't interpret further. Three properties are
load-bearing: it is off by default; the per-namespace allowlist (--ai-namespaces /
ai.namespaces) is fail-closed — with --ai set but the allowlist empty, nothing is
sent anywhere; and redaction (--ai-redact, default on) is best-effort pattern
matching, not a guarantee — do not enable AI on workloads whose logs may contain
secrets you cannot afford to send to a third-party provider. Providers are anthropic,
openai, and keyless self-hosted ollama (the recommended path for privacy-sensitive
environments). Key handling, exactly what is and is never sent, redaction coverage, and
failure behavior: docs/ai-layer.md.
Every privilege crashcause asks for is individually severable — you can turn each one
off and see, precisely, what capability you lose. crashcause inspect needs none of
this: it runs with the invoking user's own kubeconfig credentials against a single pod,
so the RBAC discussion applies only to watch.
Permission-by-permission table
| Permission | Why it's needed | How to remove it / what degrades |
|---|---|---|
pods get/list/watch |
Core input: container statuses, restart counts, owner metadata. | Not removable without disabling watch entirely — this is the minimum the controller needs to exist. |
events get/list/watch |
Probe failures, scheduling failures, image pull failures, volume mount failures all surface as events. | Same as above — required for most cause codes. |
nodes get/list/watch |
Node conditions (MemoryPressure, DiskPressure) as context for evicted/sigkill_unattributed. |
Not independently toggleable today; absence just means node-condition evidence is empty. |
pods/log get |
Previous-container log tail, used by log-pattern hints and the AI layer. | Set logCollection.enabled=false. The chart omits the RBAC rule entirely in that case — the controller provably cannot read logs, not merely configured not to. app_exit_nonzero still fires from exit codes and events; it just loses log-pattern hints, and the AI layer becomes inert (nothing to send). |
coordination.k8s.io leases create/get/update |
Leader election, so only one replica is active when running more than one. | Only requested when leaderElection.enabled=true (required if replicas > 1); otherwise the Role isn't created at all. Granted as a namespaced Role, not another cluster-wide grant: the chart sets POD_NAMESPACE via the downward API and passes --leader-election-id=<release fullname>, so the Lease always lands in the release's own namespace. |
Nothing in the RBAC surface is a write verb against workload state, and nothing is
secret-shaped: the chart never creates or reads arbitrary Secrets — the one Secret
reference it accepts (ai.existingSecret) is a name you provide, mounted as an
environment variable, never inspected or logged by the chart itself.
Pod-log fetches in watch mode are additionally protected by a client-side token-bucket
rate limiter (--log-rate-limit, default 10/minute) so a crash-storm across many pods
cannot turn the controller into an unintentional API-server DoS. Fetches beyond budget are
skipped, counted in crashcause_log_fetches_skipped_total, and diagnosis proceeds without
log evidence rather than blocking or failing.
Full permission-by-permission reference: charts/crashcause/README.md.
| Code | Meaning | Applies to |
|---|---|---|
0 |
Diagnosed: at least one container's crash was classified and reported. | inspect |
1 |
Error: bad flags, unreachable API server, pod/container not found, and similar failures. | inspect |
2 |
Nothing to diagnose: the pod exists and was inspected successfully, but it isn't crashing. | inspect |
Deliberately out of scope for the first release:
- Cloud-provider enrichment (GKE/EKS/AKS-specific signals, cloud monitoring correlation)
- Stuck-state forensics beyond
unschedulable/init_container_stuck: Terminating-forever / finalizer analysis,ContainerCreatingstuck for reasons other than a volume mount - Auto-remediation of any kind — this tool diagnoses, it never acts on a cluster
- Historical storage or a database — the sinks (stdout/Prometheus/Loki) are the storage;
crashcauseitself is stateless - Multi-cluster federation
- A web UI
Prerequisites to build: Go 1.25 (pinned as toolchain go1.25.0 in
go.mod; any Go ≥ 1.21 auto-downloads it).
Prerequisites for the full check loop (not required just to build): golangci-lint v2, helm, kind.
make fmt lint test race cover build e2e helm-lint checkmake check mirrors what CI runs — if it's green locally, CI should be green too.
Apache-2.0. See LICENSE.