NodeIOPressureCritical has now fired twice on k3s-prod-1 for opposite causes and
said the same thing both times. On 2026-09-14 02:40-02:45Z it fired at PSI(full)
20.98% — twice the threshold, four times the 2026-09-07 level — while every local
device was idle (0.09-0.27 utilisation) and fast (1.4-4.8 ms per write), NFS
retransmissions were zero and no Longhorn volume was degraded. Establishing that
took eight ad-hoc PromQL queries after the event had already recovered.
Adds the group platform-health.node-io-cause: eight rules, one per cause class,
each naming its cause in its own summary.
NodeDiskDeviceSaturated device saturation >0.85 busy, 10m
NodeDiskWriteLatencyHigh device latency >20ms/write, 10m
NodeDiskWriteLatencyCritical device latency >50ms/write, 5m
NodeDiskReadLatencyHigh device latency >250ms/read, 15m
NodeNFSRetransmissionRateHigh NFS transport >1% retransmitted, 10m
NodeIOPressureNotLocalDisk not local disk PSI>10% with all of the above absent
NodeEtcdRequestsSlow etcd >0.5% of etcd requests over 1s
ContainerIOStallHigh which workload per-container PSI >15%
Every threshold is measured on prod over 24-48h, not guessed, and each rule
records its headroom. The PSI thresholds themselves are deliberately unchanged:
the 21% stall was real, it fired twice in 24h for two real events on the one node
that has a problem, and raising the bar would also have raised it above the 11.36%
at which prod-1 was already losing etcd on 2026-09-07.
Context reaches the operator at page time three ways: the summary states the cause
class; every rule carries a diagnostic_query annotation with the exact companion
PromQL; and node-pressure-dashboard.yaml gains a WHY row (seven panels) plotting
saturation, write/read service time, NFS retransmissions, our own NFS op rate,
the etcd slow-request fraction and per-container PSI side by side. runbooks/node-io.md
gains a 10-row triage table with the real healthy / 2026-09-14 / 2026-09-07 columns,
which turns those eight queries into a two-minute read.
etcd and NFS metric availability, verified on prod rather than assumed:
* etcd SERVER disk metrics do NOT exist. etcd_disk_wal_fsync_duration_seconds and
etcd_disk_backend_commit_duration_seconds are absent (kubeEtcd disabled for k3s);
a query for etcd_disk_*/etcd_server_*/etcd_mvcc_* returns nothing at all.
NodeEtcdRequestsSlow uses the apiserver's client-side view of its own local
member instead, and says in its own description that it is a proxy.
* node_nfs_* DOES exist — the nfs collector is on by default, host-wide via
/proc/net/rpc/nfs, confirmed on all three nodes. It gives op counts and
retransmissions and NO latency, so it can see a dropping export but not a slow
one. The mountstats collector is enabled here to close that gap; NO rule
references node_mountstats_* yet, because the series do not exist until the
HelmRelease rolls out and the collector's visibility through the node-exporter
mount namespace must be verified on prod first. The runbook records the check
and says to revert if it comes back empty.
Proof, per the repo's two shipped alerting failure modes:
* platform/monitoring/tests/node-io-cause.test.yaml — 7 fixtures, all from
measured profiles: healthy (all 8 quiet), 2026-09-14 (NotLocalDisk fires and
names sonarr), 2026-09-07 re-queried at offset 164h (write-latency and etcd
fire, NotLocalDisk correctly silent), rebuild storm, NFS transport, read
latency, and the `unless` semantics.
* 10 mutations of the shipped rules, all killed. The mutation run found a real
gap: the etcd threshold could be changed without failing any test, because it
was only pinned by a promql_expr_test that restated the threshold in the test
file. An alert_rule_test now pins it.
* All 11 referenced metrics verified to return series on prod with
`promtool query instant`, and all 8 expressions verified quiet on today's state.
Also extends the alert-metrics-have-scrape-targets owner table for container_*
(the kubelet ServiceMonitor's cAdvisor path, which this entry already claimed in
its title) and for etcd_request_duration_seconds_* by EXACT NAME, deliberately not
by an etcd_ prefix, so a future rule on the unscraped etcd_disk_* names still fails
the gate.
Co-Authored-By: Claude Opus 5 <[email protected]>
Conformance tests — layout & requirement-tagging convention
Every test is a Chainsaw Test in its own directory:
tests/
l0-static/ L0 — whole-repo invariants over the tracked tree (no cluster)
l1-rendering/ L1 — ServiceDefinition -> rendered resources match golden
l2-behavioral/ L2 — real runtime behavior (probes against a cluster)
l3-fault-injection/ L3 — break something; assert fail-closed / no-data-loss
meta/ harness self-checks (R-TEST-*), cluster-independent
<test-name>/chainsaw-test.yaml
The layer a test belongs to is its subtree and its .../layer annotation; the
coverage generator cross-checks the two.
L0 static (l0-static/) — what belongs here, and what does not
docs/14's L0 row is "Pre-apply, in CI · manifests/ServiceDefinitions obey invariants".
Kyverno (platform/kyverno/) covers the invariants expressible over a single
resource. This subtree covers the L0 invariants that are properties of the repository
as a whole and that no per-resource policy can state — e.g. no plaintext secret exists
anywhere in the tracked tree, no tracked RoleBinding grants a workload identity a
privileged role, the spec-immutability gate actually blocks a modified spec.
Each l0-static/<name>/ dir carries a check.sh: a self-contained offline assertion
script (git + Python stdlib/PyYAML; no cluster, no network) that exits 0/1. It is executed:
- by
conformance/run.sh --layer l0(and as the offline leg of a full run), vialib/run_l1_offline.py, producing a REAL pass/fail JUnit entry — never a skip; and - by the merge gate's
ci/l0.shstage, so these assertions run on every PR; and - by the wrapping Chainsaw
Test, which runs the SAMEcheck.sh, so an in-cluster run executes byte-identical assertions.
Two authoring rules specific to this layer:
- State the gap. A statically-provable half of a requirement is still only half.
Every
check.shheader ends with an explicit "what this does NOT prove" list naming the cluster-layer remainder. Covering a requirement at L0 does not finish it. - Exemptions must be self-policing. Where a check must tolerate something (a
deliberately-plaintext policy fixture, an
.exampletemplate), the exemption is conditioned on a property that would break if the exemption were abused — e.g. the plaintext Secret fixture is exempt only while akyverno-test.yamlasserts the policy rejects it. Never a bare path allowlist.
Requirement-tagging convention (authoritative)
A test declares the requirement(s) it verifies three ways; the label is the source of truth, the annotations must agree with it (the coverage generator fails on drift):
metadata:
name: default-deny
labels:
# ONE label per verified R-* ID. Machine-selectable + coverage source of truth.
conformance.home.k3s/R-NET-01: "true"
annotations:
# Human-readable canonical list — MUST equal the label set.
conformance.home.k3s/requirements: "R-NET-01"
# Declared layer (L0|L1|L2|L3|META) — must match the subtree.
conformance.home.k3s/layer: "L2"
# true => R-TEST-05 requires this to be (or have) an L3 fault-injection test.
conformance.home.k3s/safety-critical: "false"
# Given/When/Then intent, for the coverage report and reviewers.
conformance.home.k3s/intent: "Given ... When ... Then ..."
Why a label per requirement (not a comma list): Kubernetes label values can't hold
a comma-separated list, and chainsaw test --selector selects on label keys/values.
One conformance.home.k3s/<R-ID>=true label per requirement makes both subset-selection
and coverage extraction exact and robust.
How this drives the tooling
- Subset runs (merge gate):
run.sh --requirements R-NET-01,R-NET-06resolves the R-IDs to the set of test dirs carrying those labels (union, deduped) and runs each once. - Coverage (
lib/coverage.py): reads these labels from everychainsaw-test.yaml, maps each registry requirement -> its verifying test(s), and flags gaps + any label/annotation mismatch + tags not in the registry. - JUnit: results (real or skipped-scaffold) carry the R-IDs in
classname+ properties, so the JUnit itself stays traceable (R-TEST-04).
Authoring rules (R-TEST-01/02/06)
-
Behavior, not existence. Assert what the system does (a probe cannot connect), never that an object merely exists (a policy can exist and not enforce).
-
Given/When/Then structure with
given-*/when-*/then-*step names. -
Hermetic & self-cleaning. Rely on Chainsaw's per-test namespace + auto-teardown; put any out-of-namespace fixture cleanup in a
finallyblock. A leaked fixture is a failure. -
Bounded, deterministic waits. Use assert/error polling within the config timeouts; never
sleep-and-hope. -
Safety-critical => fault-injection. For a safety-critical requirement, actually break the thing and assert fail-closed / no-data-loss, with
finallyrestoring state. -
Never weaken a test to go green (R-TEST-06). If the spec can't be met, escalate to the PM — do not relax the assertion or the requirement.
-
Never write a per-environment value into a test (R-ENV-02). No hostname suffix, no Gateway VIP, no LB-pool range. One authored suite must run green against dev and prod, so a test asks the cluster it is pointed at what it is. The mechanism is a chainsaw binding over the same ConfigMap Flux substitutes from:
spec: bindings: - name: baseDomain value: (x_k8s_get($client, 'v1', 'ConfigMap', 'flux-system', 'cluster-vars').data.BASE_DOMAIN)Declare it at test level (step
outputs/bindingsare step-scoped), then consume it:($baseDomain)for a podenv:value,(join('.', ['myhost', $baseDomain]))where a full hostname is needed — including inside afixtures/*.yamlapplied withapply: file:, which chainsaw templates with the same bindings. Prefer reading the actual observed value over restating a range (e.g. assert the DNS answer equalsGATEWAY_VIP, or equals the LB IP the Service was assigned) — it is both stricter and environment-independent. Never take the environment from a CLI flag or an exported variable: a flag someone forgets is how a suite ends up silently asserting the other cluster's expectations. L1 goldens are the one exception: they are rendering fixtures and carry the literal${BASE_DOMAIN}token.
How a scaffold declares itself (and how status.py tells one from a verifier)
Scaffolds in this tree carry TODO(T-x.y) markers where a fixture/assertion lands as a
later roadmap phase delivers the capability under test. lib/status.py classifies each
test EXECUTABLE or SCAFFOLD from the test's own files — chainsaw-test.yaml,
render-check.sh, check.sh — and either signal below outranks
conformance.home.k3s/executable: "true", so a placeholder body can never be reported as
an executable test. Declare a scaffold in both positions:
# STATUS: scaffold — <what is missing>in the file's header comment block. The declared state must be the first token afterSTATUS:(executable tests say# STATUS: EXECUTABLE/IMPLEMENTED/RUNNABLE).- A
TODO/FIXMEmarker carrying a message, in the body — the file from its first non-comment line onward.echo "TODO(T-4.2): inject a fault to fire a rule", or an inline comment on a missing fixture:file: fixtures/smtp-sink.yaml # TODO(T-4.1): hermetic SMTP capture sink.
What is not a scaffold marker, and why the distinction is load-bearing: a marker
mentioned in the header prose (the Given/When/Then and the mandatory "what this does
NOT prove" list), and a marker that is the entire content of a quoted literal — a
placeholder detector's own vocabulary, e.g. SEED = ["TBD", "TODO", "FIXME", ...] in
l0-static/placeholder-guard-coupling/check.sh. A whole-file "TODO" in text test used to
classify that 32-assertion check as a scaffold and, through it, report the safety-critical
R-STATE-03 as exec=1 scaffold=1. If your check must hold a marker as data, keep each
idiom a standalone quoted literal in a list; a marker with text attached (a regex
alternation, several idioms in one string) still classifies as a scaffold, because
ambiguity here only ever downgrades.