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claude-bot d15a4654a0 perf(grafana-db): raise archive_timeout to 30min on gf-pg
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A WAL segment is a fixed 16 MiB file. archive_timeout forces a segment
switch on a timer so the archive never trails reality by more than that
interval, and the switched-out segment is written and archived at its full
16 MiB no matter how few bytes of real WAL it holds. CNPG defaults this to
5min, which permits up to 288 segments/day = 4.6 GB/day per cluster.

Measured on gf-pg: the database is 21 MB and generates 4.5 MB/day of actual
WAL, while its RBD volume takes 211 MB/hour -- against 192 MB/hour predicted
from 12 switches of 16 MiB. Essentially every byte written to this volume is
padding, roughly 1100x amplification.

This resolves an anomaly that has been open since the start of the endurance
work: gf-pg appeared to write gigabytes per day for a 21 MB database, and
neither WAL volume nor data changes could account for it. Segment padding
does, exactly.

Applied to gf-pg alone as a staged rollout. It is the lowest-risk cluster
and gives the cleanest signal -- its real WAL is small enough that any change
in volume is unambiguously attributable to this parameter. The same default
affects all seven clusters and is worth an estimated ~24 GB/day of logical
writes fleet-wide, but that only goes ahead once this one is verified.

The cost is RPO. On total loss of the cluster, up to 30min of Grafana state
becomes unrecoverable instead of 5min. That state is dashboards, annotations
and preferences, changing at ~4.5 MB/day, so the window is nearly always
empty. Clusters holding credentials or job state get evaluated separately
rather than inheriting this value by default.

archive_timeout is in CNPG's GlobalDefaultSettings, not its
FixedConfigurationParameters, so it is user-overridable -- verified against
pkg/postgres/configuration.go rather than assumed.

Context: drive-endurance work on three QLC NVMe OSDs at 81-87% wear.
2026-08-20 14:21:03 +02:00
22 changed files with 26 additions and 524 deletions
+1 -1
View File
@@ -13,7 +13,7 @@ when:
steps:
- name: validate-secrets
image: alpine:3.24.1
image: alpine:3.21
environment:
TF_VAR_proxmox_api_url:
from_secret: proxmox_api_url
-14
View File
@@ -67,20 +67,6 @@ spec:
# and slower than the lz4/zstd this build also accepts). Compresses the
# full-page images that dominate WAL volume after each checkpoint.
wal_compression: "zstd"
# A WAL segment is a fixed 16 MiB file, and archive_timeout forces a switch
# on a timer -- the segment is then written and archived at its full size
# no matter how little real WAL it holds. CNPG defaults to 5min, i.e. up
# to 288 segments/day = 3.2 GB/day here, most of it padding.
#
# 15min, NOT the 30min used elsewhere in this rollout. This cluster holds
# credentials, sessions and enrolment state, so its RPO is worth more than
# the difference: 30min would save a further 0.3 GB/day, which does not
# justify doubling the worst-case loss window on this data.
#
# It does carry a synchronous standby (instances: 2), so the realistic
# exposure is losing both instances, not one -- but the conservative value
# is cheap here and the aggressive one buys almost nothing.
archive_timeout: "15min"
# Async replication makes CNPG switchover slow because the standby has
# to chase missing WAL via barman-cloud and replay queued records
# before it can promote. With one synchronous standby, the standby is
@@ -84,7 +84,7 @@ spec:
env:
- name: DB_URI
valueFrom:
secretKeyRef: {name: ha-pg-app, key: fqdn-uri}
secretKeyRef: { name: ha-pg-app, key: fqdn-uri }
volumeMounts:
- name: config
mountPath: /config
@@ -96,7 +96,7 @@ spec:
memory: 32Mi
containers:
- name: home-assistant
image: ghcr.io/home-assistant/home-assistant:2026.8.3 # {"$imagepolicy": "flux-system:home-assistant"}
image: ghcr.io/home-assistant/home-assistant:2026.8.2 # {"$imagepolicy": "flux-system:home-assistant"}
env:
- name: TZ
value: Europe/Berlin
@@ -86,26 +86,8 @@ spec:
# inserts scattered across pages, so full-page writes after each
# checkpoint dominate WAL volume; compression cuts that directly.
#
# Full-page images really are ~62% of WAL here: 61.9% measured as a
# steady-state delta over one checkpoint cycle, against 62.4% lifetime.
#
# But switching pglz -> zstd changed NOTHING. Measured by
# pg_current_wal_lsn advance over 20min windows: 4911 and 4976 MB/day
# before, 5002 MB/day after.
#
# The reason is that `wal_compression: "on"` was never "no compression" --
# it is pglz, which was already compressing these page images. zstd only
# changes the ratio, and on recorder pages that margin is too small to
# measure. The original framing of this change (that the clusters "were
# not getting compression") was wrong; they were.
#
# Note the 62% figure is an upper bound: it is computed as
# wal_fpi * 8192 / wal_bytes, which assumes uncompressed 8 KiB pages. With
# compression active the true byte share is lower, which is consistent
# with there being little headroom left for a better algorithm.
#
# Kept because zstd is not worse than pglz and costs nothing. It is simply
# not a lever. The real one on this cluster was archive_timeout, below.
# Measured on this cluster: full-page images are 62.4% of WAL bytes, so
# this is the single largest lever on recorder write volume.
#
# zstd, not "on": the boolean spelling resolves to pglz, the original
# 2016-era algorithm, which is both slower and weaker than the two
@@ -113,35 +95,9 @@ spec:
# best ratio on 8 KiB page images, and the CPU cost lands on a cluster
# that is IO-bound on QLC NVMe, not CPU-bound.
wal_compression: "zstd"
# A WAL segment is a fixed 16 MiB file, and archive_timeout forces a switch
# on a timer -- the segment is then written and archived at its full size
# no matter how little real WAL it holds. CNPG defaults to 5min, i.e. up
# to 288 segments/day = 4.6 GB/day that is largely padding.
#
# Verified on gf-pg first (the staged rollout): 211 -> 41 MB/hour, an 81%
# cut, with archived segments falling from ~12/hour to ~1.5/hour in step.
# Two independent signals moving together is what confirms the volume was
# padding rather than data.
#
# The cost is RPO: up to 30min of WAL is unrecoverable if this cluster and
# its volume are lost outright. This is a single-instance cluster, so the
# archive is the only off-node copy.
archive_timeout: "30min"
# Fewer checkpoints => fewer full-page writes, since a page is only
# fully-logged on its first modification after a checkpoint.
#
# That reasoning did not show up in WAL volume: 15min -> 30min moved the
# WAL rate not at all (4911/4976 -> 5002 MB/day). The likely reason is
# that this workload is append-mostly -- a page is dirtied while it fills
# and then not touched again, so its full-page image is paid once
# regardless of how often checkpoints run. Interval only helps pages that
# are re-dirtied across many cycles, which is not what a recorder does.
#
# Kept, but NOT because WAL improved. checkpoint_timeout also governs
# data-file writes at checkpoint, and those are unmeasured here: this
# volume takes ~11 GB/day against 4.9 GB/day of WAL, so most of its
# traffic is outside what the WAL measurement covers. Revisit with a
# data-file measurement before treating this value as justified.
# fully-logged on its first modification after a checkpoint. Doubling the
# interval halves how often each hot page pays that 8 KiB toll.
#
# Recovery cost is bounded by how much WAL a single interval produces,
# not by the interval itself: at the measured rate 30min is well under
@@ -176,38 +176,3 @@ data:
friendly_name: Treppenhaus Haustür Schalter 1
'0x001788010b00d011':
friendly_name: Treppenhaus Haustür Schalter 2
# Ecowitt WS90 weather station. Joined after the ZHA-mirrored block above
# was written, hence listed apart from it.
#
# This device also carries a non-default ZCL reporting configuration
# (per-attribute min interval and reportable-change deadbands). That is
# device-side state, not expressible here — Z2M has no settings field for
# it — so it is documented, with restore commands, in
# zigbee2mqtt-ws90-reporting.md. It is lost whenever Z2M re-runs
# `configure` on the device, and a fresh PVC will not have it.
#
# The station transmits every 8.8s, as a burst of seven per-cluster ZCL
# frames; Z2M publishes its full cumulative state once per frame. debounce
# merges a burst into one publish carrying the last value per attribute,
# and must stay below the transmit interval — a window that never sees
# silence never flushes.
#
# Every few days the firmware zeroes its readings for ~8s, then skips a
# transmit cycle and recovers on the next. The zeros propagate attribute
# by attribute through a burst rather than arriving together, and they
# start inside an otherwise normal cycle — the last valid reading and the
# first zero are ~20ms apart.
#
# Merging cuts an episode from six published bad frames to one. It does
# NOT make that frame recognisable: it carries whatever subset had zeroed
# when the burst ended, which may be every field or only temperature, and
# a frame reading {"temperature":0,"humidity":92,"pressure":96.9} is not
# separable from a valid winter reading. Since the merge is last-wins and
# the zeros arrive at the tail, it also discards the valid reading that
# led the burst. This bounds the corruption; it does not filter it.
#
# Z2M reads this only at startup (requiresRestart), and this file is
# SEED-ONLY per the header — the running instance takes it from its PVC.
'0xc02cedfffe958f40':
friendly_name: Wetterstation
debounce: 2
@@ -158,7 +158,7 @@ spec:
# Pinned tag. No Flux image-automation marker yet (unlike mosquitto) —
# add an infrastructure/image-automation/zigbee2mqtt.yaml policy as a
# follow-up if desired; pinned-and-manual is fine for the initial cutover.
image: ghcr.io/koenkk/zigbee2mqtt:2.13.0
image: ghcr.io/koenkk/zigbee2mqtt:2.12.1
imagePullPolicy: IfNotPresent
env:
- name: TZ
@@ -1,149 +0,0 @@
# WS90 Zigbee reporting configuration
Records the ZCL attribute-reporting configuration applied to the Wetterstation
(Ecowitt WS90 powered by Shelly, IEEE `0xc02cedfffe958f40`) and how to restore
it, because **this configuration lives on the device and in Z2M's
`database.db`, not in git**. Zigbee2MQTT has no settings-schema field for
reporting configuration, so there is nothing declarative to reconcile — Flux
cannot restore it and a fresh PVC will not have it.
## Applied configuration
Endpoint 1, all intervals in seconds. `change` is in the attribute's raw ZCL
units; the physical deadband is `change ÷ scale`.
| attribute | cluster | min | max | change | deadband | converter default |
| --- | --- | --- | --- | --- | --- | --- |
| temperature | `msTemperatureMeasurement` (1026) | 5 | 3600 | 10 | 0.1 °C | 10 / 3600 / 100 |
| humidity | `msRelativeHumidity` (1029) | 5 | 3600 | 50 | 0.5 % | 10 / 3600 / 100 |
| pressure | `msPressureMeasurement` (1027) | 5 | 3600 | 1 | 1 hPa | 10 / 3600 / 50 |
| illuminance | `msIlluminanceMeasurement` (1024) | 5 | 3600 | 5 | 5 lx | 10 / 3600 / 5 |
| windSpeed | `shellyWS90Wind` (0xfc01/0) | 5 | 3600 | 1 | — | 10 / 3600 / 1 |
| windDirection | `shellyWS90Wind` (0xfc01/4) | 5 | 3600 | 1 | — | 10 / 3600 / 1 |
| gustSpeed | `shellyWS90Wind` (0xfc01/7) | 5 | 3600 | 1 | — | 10 / 3600 / 1 |
| uvIndex | `shellyWS90UV` (0xfc02/0) | 5 | 3600 | 1 | — | 10 / 3600 / 1 |
| rainStatus | `shellyWS90Rain` (0xfc03/0) | 5 | 3600 | 1 | — | 10 / 3600 / 1 |
| precipitation | `shellyWS90Rain` (0xfc03/1) | 5 | 3600 | 1 | — | 10 / 3600 / 1 |
`genPowerCfg.batteryVoltage` (cluster 1, attribute 33) is deliberately left at
its hourly default.
The three `shellyWS90*` clusters are manufacturer-specific and require
`"options": {"manufacturerCode": 5264}` on every reconfiguration request.
## Why min is 5 and not 10
The station transmits every 8.8 s. `min` is a hold-off: a change-triggered
report is held until at least `min` seconds after the previous one. With
`min: 10` every report was therefore held past a transmit cycle and landed on
the next, so attributes reported at best every 17.6 s and drifted out of phase
with each other — the published stream showed no 8.8 s periodicity at all,
just a smear across 2–8 s.
At `min: 5` each attribute reports on its own transmit. The MQTT stream then
carries one publish per transmit cycle, measured at a mean gap of 8.69 s.
Total publish volume *fell* (~631/h to ~445/h) because each publish now
carries a whole cycle instead of a fragment of one.
Any value below 8.8 s achieves this. 5 leaves margin without approaching the
cycle time.
## Why the deadbands differ from the converter defaults
The defaults come from the shared `modernExtend` helpers in
zigbee-herdsman-converters (`m.temperature()`, `m.pressure()`, `m.humidity()`,
`m.illuminance()`), which the WS90 definition in `shelly.ts` composes without
overrides. They are anti-chatter values sized for battery-powered indoor
sensors, where report volume costs coin-cell life and mesh airtime. This
station is mains-and-solar and exists to resolve small changes, so the
trade-off runs the other way.
Each value above is matched to the resolution the device actually reports:
temperature and pressure arrive in 0.1-unit steps, humidity in whole percent.
Pressure is worth calling out. The converter default of `change: 50` with
`scale: 10` is a 5 kPa (50 hPa) deadband, which real barometric pressure never
traverses — so pressure only ever updated on the hourly `max` heartbeat, and
`pressure_trend` and `weather_condition` were derived from that. The same
library's older `reporting.ts` helper configures the identical ZCL attribute
with `change: 5`, a 5 hPa deadband, so the two code paths disagree by 10× and
the modernExtend value is the outlier.
## When this is lost
Anything that makes Z2M re-run `configure` on the device overwrites all of it
with the converter defaults:
- re-pairing or re-joining the device
- an explicit `zigbee2mqtt/bridge/request/device/configure`
- a converter update that changes the definition and triggers reconfiguration
It also will not exist on a fresh PVC. Re-apply with the commands below.
## Re-applying
Published from the `discovery-guard` sidecar, which already holds the
`zigbee2mqtt` broker credential (ACL `readwrite zigbee2mqtt/#`, which covers
`bridge/request/#`) so no credential has to leave the cluster:
Ten separate requests, one per attribute — written out literally rather than
generated by a shell helper, because the nested quoting through `kubectl exec
-- sh -c` is where this goes wrong. Each line below is in the exact form that
was executed and verified.
```sh
POD=$(kubectl get pod -n home-assistant -l app.kubernetes.io/name=zigbee2mqtt -o jsonpath='{.items[0].metadata.name}')
```
```sh
kubectl exec -n home-assistant "$POD" -c discovery-guard -- sh -c 'mosquitto_pub -h "$MQTT_HOST" -p 1883 -u "$MQTT_USER" -P "$MQTT_PASSWORD" -t "$BASE_TOPIC/bridge/request/device/configure_reporting" -m "{\"id\":\"0xc02cedfffe958f40\",\"endpoint\":1,\"cluster\":\"msTemperatureMeasurement\",\"attribute\":\"measuredValue\",\"minimum_report_interval\":5,\"maximum_report_interval\":3600,\"reportable_change\":10}"'
kubectl exec -n home-assistant "$POD" -c discovery-guard -- sh -c 'mosquitto_pub -h "$MQTT_HOST" -p 1883 -u "$MQTT_USER" -P "$MQTT_PASSWORD" -t "$BASE_TOPIC/bridge/request/device/configure_reporting" -m "{\"id\":\"0xc02cedfffe958f40\",\"endpoint\":1,\"cluster\":\"msRelativeHumidity\",\"attribute\":\"measuredValue\",\"minimum_report_interval\":5,\"maximum_report_interval\":3600,\"reportable_change\":50}"'
kubectl exec -n home-assistant "$POD" -c discovery-guard -- sh -c 'mosquitto_pub -h "$MQTT_HOST" -p 1883 -u "$MQTT_USER" -P "$MQTT_PASSWORD" -t "$BASE_TOPIC/bridge/request/device/configure_reporting" -m "{\"id\":\"0xc02cedfffe958f40\",\"endpoint\":1,\"cluster\":\"msPressureMeasurement\",\"attribute\":\"measuredValue\",\"minimum_report_interval\":5,\"maximum_report_interval\":3600,\"reportable_change\":1}"'
kubectl exec -n home-assistant "$POD" -c discovery-guard -- sh -c 'mosquitto_pub -h "$MQTT_HOST" -p 1883 -u "$MQTT_USER" -P "$MQTT_PASSWORD" -t "$BASE_TOPIC/bridge/request/device/configure_reporting" -m "{\"id\":\"0xc02cedfffe958f40\",\"endpoint\":1,\"cluster\":\"msIlluminanceMeasurement\",\"attribute\":\"measuredValue\",\"minimum_report_interval\":5,\"maximum_report_interval\":3600,\"reportable_change\":5}"'
kubectl exec -n home-assistant "$POD" -c discovery-guard -- sh -c 'mosquitto_pub -h "$MQTT_HOST" -p 1883 -u "$MQTT_USER" -P "$MQTT_PASSWORD" -t "$BASE_TOPIC/bridge/request/device/configure_reporting" -m "{\"id\":\"0xc02cedfffe958f40\",\"endpoint\":1,\"cluster\":\"shellyWS90Wind\",\"attribute\":\"windSpeed\",\"minimum_report_interval\":5,\"maximum_report_interval\":3600,\"reportable_change\":1,\"options\":{\"manufacturerCode\":5264}}"'
kubectl exec -n home-assistant "$POD" -c discovery-guard -- sh -c 'mosquitto_pub -h "$MQTT_HOST" -p 1883 -u "$MQTT_USER" -P "$MQTT_PASSWORD" -t "$BASE_TOPIC/bridge/request/device/configure_reporting" -m "{\"id\":\"0xc02cedfffe958f40\",\"endpoint\":1,\"cluster\":\"shellyWS90Wind\",\"attribute\":\"windDirection\",\"minimum_report_interval\":5,\"maximum_report_interval\":3600,\"reportable_change\":1,\"options\":{\"manufacturerCode\":5264}}"'
kubectl exec -n home-assistant "$POD" -c discovery-guard -- sh -c 'mosquitto_pub -h "$MQTT_HOST" -p 1883 -u "$MQTT_USER" -P "$MQTT_PASSWORD" -t "$BASE_TOPIC/bridge/request/device/configure_reporting" -m "{\"id\":\"0xc02cedfffe958f40\",\"endpoint\":1,\"cluster\":\"shellyWS90Wind\",\"attribute\":\"gustSpeed\",\"minimum_report_interval\":5,\"maximum_report_interval\":3600,\"reportable_change\":1,\"options\":{\"manufacturerCode\":5264}}"'
kubectl exec -n home-assistant "$POD" -c discovery-guard -- sh -c 'mosquitto_pub -h "$MQTT_HOST" -p 1883 -u "$MQTT_USER" -P "$MQTT_PASSWORD" -t "$BASE_TOPIC/bridge/request/device/configure_reporting" -m "{\"id\":\"0xc02cedfffe958f40\",\"endpoint\":1,\"cluster\":\"shellyWS90UV\",\"attribute\":\"uvIndex\",\"minimum_report_interval\":5,\"maximum_report_interval\":3600,\"reportable_change\":1,\"options\":{\"manufacturerCode\":5264}}"'
kubectl exec -n home-assistant "$POD" -c discovery-guard -- sh -c 'mosquitto_pub -h "$MQTT_HOST" -p 1883 -u "$MQTT_USER" -P "$MQTT_PASSWORD" -t "$BASE_TOPIC/bridge/request/device/configure_reporting" -m "{\"id\":\"0xc02cedfffe958f40\",\"endpoint\":1,\"cluster\":\"shellyWS90Rain\",\"attribute\":\"rainStatus\",\"minimum_report_interval\":5,\"maximum_report_interval\":3600,\"reportable_change\":1,\"options\":{\"manufacturerCode\":5264}}"'
kubectl exec -n home-assistant "$POD" -c discovery-guard -- sh -c 'mosquitto_pub -h "$MQTT_HOST" -p 1883 -u "$MQTT_USER" -P "$MQTT_PASSWORD" -t "$BASE_TOPIC/bridge/request/device/configure_reporting" -m "{\"id\":\"0xc02cedfffe958f40\",\"endpoint\":1,\"cluster\":\"shellyWS90Rain\",\"attribute\":\"precipitation\",\"minimum_report_interval\":5,\"maximum_report_interval\":3600,\"reportable_change\":1,\"options\":{\"manufacturerCode\":5264}}"'
```
These are idempotent — re-sending a request that matches the current
configuration is a no-op on the device.
The device must be awake and reachable; each request performs a real
`ConfigureReporting` exchange and fails if it is not.
## Verifying
Read back what the device actually accepted — Z2M records the negotiated
result, so this reflects the device, not the request:
```sh
kubectl exec -n home-assistant "$POD" -c zigbee2mqtt -- \
grep 0xc02cedfffe958f40 /app/data/database.db |
jq -r '.endpoints | to_entries[] | .value.configuredReportings[]?
| "cluster=\(.cluster) attr=\(.attrId) min=\(.minRepIntval) max=\(.maxRepIntval) change=\(.repChange)"'
```
All ten rows above should read `min=5 max=3600`. On the wire, the publish
cadence on `zigbee2mqtt/Wetterstation` should sit at ~8.7 s and temperature
should move in 0.1 °C steps; 1 °C steps mean the defaults are back.
## Making it durable upstream
The lasting fix is for the WS90 definition to pass explicit `reporting`
overrides rather than inherit indoor-sensor defaults, which would fix every
WS90 rather than this one. `m.temperature()` and the other helpers already
accept a `reporting` argument. The pressure divergence between
`modernExtend.ts` and `reporting.ts` is a separate upstream bug worth
reporting on its own.
-14
View File
@@ -46,20 +46,6 @@ spec:
# and slower than the lz4/zstd this build also accepts). Compresses the
# full-page images that dominate WAL volume after each checkpoint.
wal_compression: "zstd"
# A WAL segment is a fixed 16 MiB file, and archive_timeout forces a switch
# on a timer -- the segment is then written and archived at its full size
# no matter how little real WAL it holds. CNPG defaults to 5min, i.e. up
# to 288 segments/day = 4.6 GB/day that is largely padding.
#
# Verified on gf-pg first (the staged rollout): 211 -> 41 MB/hour, an 81%
# cut, with archived segments falling from ~12/hour to ~1.5/hour in step.
# Two independent signals moving together is what confirms the volume was
# padding rather than data.
#
# The cost is RPO: up to 30min of WAL is unrecoverable if this cluster and
# its volume are lost outright. This is a single-instance cluster, so the
# archive is the only off-node copy.
archive_timeout: "30min"
# Write-reduction tuning. These databases are largely idle, and the
# Postgres defaults favour throughput over storage that wears out.
#
+1 -1
View File
@@ -27,7 +27,7 @@ spec:
# Pinned to 7.4-alpine to match the LXC 225 compose exactly.
# Any redis major-version bump is a separate migration.
- name: redis
image: redis:7.4.11-alpine # {"$imagepolicy": "flux-system:redis-immich"}
image: redis:7.4.10-alpine # {"$imagepolicy": "flux-system:redis-immich"}
args:
- redis-server
- --save
@@ -8,7 +8,6 @@ resources:
- prometheusrule-cilium.yaml
- prometheusrule-hetzner-backup.yaml
- prometheusrule-loki.yaml
- prometheusrule-mariadb-backup.yaml
- prometheusrule-netbird-availability.yaml
- prometheusrule-netbird-backup.yaml
- prometheusrule-netbird-ingress.yaml
@@ -12,57 +12,18 @@ spec:
- name: ceph.rules
rules:
- alert: CephHealthWarn
# Per-check rather than ceph_health_status, so one permanently-active
# check cannot mask every other Ceph warning.
#
# AUTH_INSECURE_* is excluded: it cannot clear until the nodes run a
# kernel supporting aes256k over the CSI mount path (#527).
#
# POOL_NO_REDUNDANCY is in scope. An unreplicated pool makes
# `ceph osd ok-to-stop` refuse for every OSD, so it reports blocked
# maintenance and not just data risk — do not exclude it for a pool
# that is unreplicated deliberately.
#
# 6h: Ceph warns for self-clearing conditions. Only a warning that
# does not clear is worth paging on.
#
# BLUESTORE_SLOW_OP_ALERT breaks that premise and is still NOT
# excluded (#557). Ceph holds the check for
# bluestore_slow_ops_warn_lifetime (24h) after the LAST slow op, so
# one multi-second stall outlives the 6h `for` and always pages,
# with latency back to normal long before anyone looks. Measured:
# both episodes in the 30d to 2026-08-23 ran ~26h and cleared
# untouched, the first ~24h after the last stall.
#
# Both began inside the weekly Velero restore-test window (Sun
# 08:00-13:00Z) — a 5h sustained restore that outruns the SLC cache
# on these QLC NVMe. Expected for the hardware, but not excludable:
# this is also the earliest signal of a genuinely failing drive, and
# all three are at 80-87% endurance used (see cephcluster.yaml).
expr: ceph_health_detail{name!~"AUTH_INSECURE_.+"} == 1
# ceph_health_status: 0 = HEALTH_OK, 1 = HEALTH_WARN, 2 = HEALTH_ERR.
# 6h is deliberately long. Ceph warns for self-clearing conditions —
# a slow BlueStore op during the Sunday restore sweep, a mon briefly
# below its disk threshold — and paging on those trains people to
# ignore the alert. What matters is a warning that does not clear.
expr: ceph_health_status == 1
for: 6h
labels:
severity: warning
annotations:
summary: "Ceph health check {{ $labels.name }} active for 6h"
description: "Ceph health check {{ $labels.name }} has been active for six hours. Only AUTH_INSECURE_* is excluded (kernel-blocked, see #527). BLUESTORE_SLOW_OP_ALERT is sticky for 24h after the last stall and clears itself: check whether the stall fell inside the Sunday 08:00-13:00Z Velero restore-test window, which is expected on these QLC drives — one outside that window, or a repeat on the same OSD, means check that drive (#557). Detail: `kubectl -n rook-ceph exec deploy/rook-ceph-tools -- ceph health detail`."
- alert: CephPoolLostRedundancy
# Names the pool, which POOL_NO_REDUNDANCY does not.
#
# There is no pool-size metric, but bytes_used/stored IS the
# replication factor. The >1e6 floor drops pools too small to measure
# meaningfully, empty ones included.
#
# No pool is exempt.
expr: |
ceph_pool_bytes_used / ceph_pool_stored < 1.5 and ceph_pool_stored > 1e6
for: 30m
labels:
severity: critical
annotations:
summary: "Ceph pool {{ $labels.pool_id }} is running unreplicated"
description: "Pool {{ $labels.pool_id }} has a replication factor below 1.5, meaning a single OSD loss destroys data. No pool is meant to be unreplicated — an unreplicated pool also blocks ALL OSD maintenance cluster-wide, since `ceph osd ok-to-stop` refuses while its PGs would go offline. Check with `kubectl -n rook-ceph exec deploy/rook-ceph-tools -- ceph osd pool ls detail`."
summary: "Ceph has been HEALTH_WARN for 6h"
description: "The Ceph cluster has held HEALTH_WARN for six hours, so it is not a self-clearing blip. Get the detail with `kubectl -n rook-ceph exec deploy/rook-ceph-tools -- ceph health detail`."
- alert: CephHealthError
# HEALTH_ERR means data availability or redundancy is at risk.
@@ -1,51 +0,0 @@
apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
name: mariadb-backup
namespace: monitoring
labels:
# kube-prometheus-stack's Prometheus selects on this label.
release: kube-prometheus-stack
spec:
groups:
- name: mariadb-backup.rules
rules:
- alert: WordpressMariadbBackupStale
# The nightly 02:45 logical dump (kubernetes/apps/wordpress/mariadb.yaml)
# is the only transaction-consistent copy of www.renner.uno's database
# — Velero snapshots the PVC, which for a running DB is not a restore
# point you would trust.
#
# KubeJobFailed already covers a failed Job, but only while the Job
# object survives. On #550 it cleared when the failed Job was
# garbage-collected, not when a backup succeeded — so a failure that
# is GC'd before anyone looks leaves no signal at all.
# lastSuccessfulTime lives on the CronJob and outlives Job GC.
#
# 26h = one missed cycle plus 2h slack, matching NetbirdVpsBackupStale.
# It counts any Job owned by the CronJob, so a manual
# `kubectl create job --from=cronjob/...` re-run clears it too.
expr: |
time() - kube_cronjob_status_last_successful_time{namespace="wordpress", cronjob="wordpress-mariadb-backup"} > 26 * 3600
for: 30m
labels:
severity: warning
annotations:
summary: "WordPress MariaDB backup has not succeeded in 26h+"
description: "The wordpress-mariadb-backup CronJob's last successful run is over 26 hours old. Check the newest Job's pod logs in the wordpress namespace: `kubectl -n wordpress get jobs`. The 2026-08-19 failure was `The specified bucket does not exist.` against renner-uno-k8s-mariadb while the endpoint itself probed healthy, so a green HetznerBackupEndpointDown does not clear this."
- alert: WordpressMariadbBackupNeverRan
# The staleness expression above goes blind when the metric is
# absent, which is what happens once the operator recreates the
# CronJob. Without this guard "never backed up" is quieter than
# "backed up late".
expr: |
kube_cronjob_created{namespace="wordpress", cronjob="wordpress-mariadb-backup"}
unless
kube_cronjob_status_last_successful_time{namespace="wordpress", cronjob="wordpress-mariadb-backup"}
for: 6h
labels:
severity: warning
annotations:
summary: "WordPress MariaDB backup has no recorded successful run"
description: "The wordpress-mariadb-backup CronJob exists but has no lastSuccessfulTime: either it has not completed once since the Backup CR was recreated, or every run since has failed. Check `kubectl -n wordpress get jobs` and that the hetzner-s3-creds ExternalSecret is synced."
-12
View File
@@ -58,18 +58,6 @@ spec:
# and slower than the lz4/zstd this build also accepts). Compresses the
# full-page images that dominate WAL volume after each checkpoint.
wal_compression: "zstd"
# A WAL segment is a fixed 16 MiB file, and archive_timeout forces a switch
# on a timer -- the segment is then written and archived at its full size
# no matter how little real WAL it holds. CNPG defaults to 5min, i.e. up
# to 288 segments/day = 4.1 GB/day that is largely padding.
#
# Verified on gf-pg first (the staged rollout): 211 -> 41 MB/hour, an 81%
# cut, with archived segments falling from ~12/hour to ~1.5/hour in step.
#
# The cost is RPO: up to 30min of WAL is unrecoverable if both instances
# are lost. The documents themselves live on the media PVC, not in
# Postgres -- this database holds their metadata.
archive_timeout: "30min"
# See ak-pg cluster.yaml for the rationale on synchronous replication.
synchronous:
method: any
+1 -1
View File
@@ -25,7 +25,7 @@ spec:
type: RuntimeDefault
containers:
- name: redis
image: redis:8.10.1-alpine # {"$imagepolicy": "flux-system:redis-paperless"}
image: redis:8.10.0-alpine # {"$imagepolicy": "flux-system:redis-paperless"}
args:
- redis-server
- --save
-14
View File
@@ -36,20 +36,6 @@ spec:
# and slower than the lz4/zstd this build also accepts). Compresses the
# full-page images that dominate WAL volume after each checkpoint.
wal_compression: "zstd"
# A WAL segment is a fixed 16 MiB file, and archive_timeout forces a switch
# on a timer -- the segment is then written and archived at its full size
# no matter how little real WAL it holds. CNPG defaults to 5min, i.e. up
# to 288 segments/day = 4.6 GB/day that is largely padding.
#
# Verified on gf-pg first (the staged rollout): 211 -> 41 MB/hour, an 81%
# cut, with archived segments falling from ~12/hour to ~1.5/hour in step.
# Two independent signals moving together is what confirms the volume was
# padding rather than data.
#
# The cost is RPO: up to 30min of WAL is unrecoverable if this cluster and
# its volume are lost outright. This is a single-instance cluster, so the
# archive is the only off-node copy.
archive_timeout: "30min"
# Write-reduction tuning. These databases are largely idle, and the
# Postgres defaults favour throughput over storage that wears out.
#
+6 -33
View File
@@ -34,7 +34,7 @@ spec:
# Image automation, range 3.x (see image-automation/woodpecker.yaml).
# MUST stay version-matched with woodpecker-server (gRPC parity) — both
# track the same range/filter so they bump together on each release.
image: woodpeckerci/woodpecker-agent:v3.18.0 # {"$imagepolicy": "flux-system:woodpecker-agent"}
image: woodpeckerci/woodpecker-agent:v3.17.0 # {"$imagepolicy": "flux-system:woodpecker-agent"}
env:
- name: WOODPECKER_SERVER
value: woodpecker.woodpecker.svc.cluster.local:9000 # in-cluster gRPC, replaces LXC :9000
@@ -50,39 +50,12 @@ spec:
# clone + subsequent steps share the workspace PVC and the k8s backend
# can schedule them on different nodes -> an RWO volume then fails to
# mount on the second node. CephFS (RWX) lets the workspace follow
# the pipeline across nodes. Reclaim MUST be Delete: workspaces are
# throwaway, and a Retain class leaked one Released PV per finished
# pipeline (issue #262 follow-up).
#
# ceph-filesystem-ci, not ceph-filesystem-ephemeral: a dedicated
# CephFS whose pools are BOTH size 1 (infrastructure/
# rook-ceph-cluster/cephfs-ci.yaml). The shared filesystem
# replicates data0 2x and metadata 3x, which is the correct trade
# for real data and pure waste for a git clone that is deleted
# minutes later.
#
# Measured 2026-08-21, polling both pools every 15s (a 5-minute
# interval misses an entire pipeline -- PVC created, used and
# deleted inside ~2 minutes):
# CI active 1.5min: data0 143.2 MB, metadata 17.2 MB
# CI idle 16.0min: data0 0.0 MB, metadata 11.0 MB
# data0 write volume is 100% CI. Per pipeline this moves the drive
# cost from 71.6x2 + 8.2x3 = ~168 MB to ~80 MB.
#
# ceph-filesystem-ephemeral is NOT repointed, and the reason is a
# technical constraint rather than a safety one. Its other consumer
# is velero/restore-test.sh, whose probe PVCs are snapshot CLONES:
# `ceph fs subvolume snapshot clone` operates within one filesystem,
# so a snapshot taken in `cephfs` cannot be cloned into `cephfs-ci`.
#
# Those probes are just as throwaway as a CI workspace -- the
# authoritative copy is the backup on Hetzner, and a lost probe just
# means re-running the test -- so they are equally undeserving of
# replication. Landing them unreplicated would mean a second size-1
# data pool inside `cephfs`, and restore-test runs WEEKLY against
# CI's ~96 pipelines/day, so it is not worth the complexity.
# the pipeline across nodes. The -ephemeral variant (reclaim Delete,
# rook-ceph-cluster/storageclass.yaml) is REQUIRED here: workspaces
# are throwaway, and the Retain class leaked one Released PV per
# finished pipeline (issue #262 follow-up).
- name: WOODPECKER_BACKEND_K8S_STORAGE_CLASS
value: ceph-filesystem-ci
value: ceph-filesystem-ephemeral
- name: WOODPECKER_BACKEND_K8S_STORAGE_RWX
value: "true"
# MUST be a JSON object literal — the backend json.Unmarshal's this
-14
View File
@@ -80,20 +80,6 @@ spec:
# and slower than the lz4/zstd this build also accepts). Compresses the
# full-page images that dominate WAL volume after each checkpoint.
wal_compression: "zstd"
# A WAL segment is a fixed 16 MiB file, and archive_timeout forces a switch
# on a timer -- the segment is then written and archived at its full size
# no matter how little real WAL it holds. CNPG defaults to 5min, i.e. up
# to 288 segments/day = 4.6 GB/day that is largely padding.
#
# Verified on gf-pg first (the staged rollout): 211 -> 41 MB/hour, an 81%
# cut, with archived segments falling from ~12/hour to ~1.5/hour in step.
# Two independent signals moving together is what confirms the volume was
# padding rather than data.
#
# The cost is RPO: up to 30min of WAL is unrecoverable if this cluster and
# its volume are lost outright. This is a single-instance cluster, so the
# archive is the only off-node copy.
archive_timeout: "30min"
resources:
requests:
cpu: 100m
+1 -1
View File
@@ -40,7 +40,7 @@ spec:
# minor + patch auto-update within 3.x; only the 4.0 major is held for
# a reviewed bump. Safe now the DB is postgres (the old sqlite-surprise
# -bump hazard is gone). Stays in lockstep with the agent.
image: woodpeckerci/woodpecker-server:v3.18.0 # {"$imagepolicy": "flux-system:woodpecker-server"}
image: woodpeckerci/woodpecker-server:v3.17.0 # {"$imagepolicy": "flux-system:woodpecker-server"}
env:
- name: WOODPECKER_HOST
value: https://ci.renner.uno
@@ -51,15 +51,7 @@ spec:
startingDeadlineSeconds: 3600
jobTemplate:
spec:
# 4 (not the sibling rotators' 1-2) because this is the only DAILY
# rotator — every other CronJob here is quarterly, so it takes ~90x as
# many runs and is correspondingly more exposed to per-run transients.
# backoffLimit: 1 gave two attempts ~11 s apart, and on 2026-08-19 a
# sub-minute resolver transient took both out (Job
# claude-oauth-secret-sync-29785100, BackoffLimitExceeded), costing a
# day's sync. 4 spreads the attempts over ~150 s (10/20/40/80 s backoff),
# still well inside activeDeadlineSeconds.
backoffLimit: 4
backoffLimit: 1
activeDeadlineSeconds: 300
ttlSecondsAfterFinished: 259200 # 3 d
template:
@@ -17,17 +17,6 @@ spec:
modules:
- name: pg_autoscaler
enabled: true
# Rotates daemon keys to aes256k for CVE-2025-30156 (#527). Opt-in; disabled
# by default. Increment keyGeneration to rotate again.
#
# Daemon keys only — aes256k over the CSI mount path needs kernel 7.0+ and
# these nodes run 6.18, so CSI stays on aes and the client-key checks stay
# raised. keyType is unset so Rook picks it.
security:
cephx:
daemon:
keyRotationPolicy: KeyGeneration
keyGeneration: 2
# Bump CephFS subvolume cloner pool from 4 → 16. Velero CSI Snapshot
# Data Movement provisions a backupPVC per source PVC by cloning the
# VolumeSnapshot, and a 4-thread default stalls migrate-immich's
@@ -1,64 +0,0 @@
---
# A SEPARATE CephFS whose only purpose is Woodpecker CI workspaces. Each
# pipeline gets a PVC that is created, filled and deleted within ~2 minutes;
# keeping that churn off `cephfs` spares its size-3 metadataPool.
#
# size 2, not 1: an unreplicated pool makes `ceph osd ok-to-stop` refuse for
# every OSD, blocking all OSD maintenance cluster-wide. size 1 is viable only
# once these pools have OSDs of their own.
apiVersion: ceph.rook.io/v1
kind: CephFilesystem
metadata:
name: cephfs-ci
namespace: rook-ceph
spec:
metadataPool:
replicated:
size: 2
dataPools:
- name: data0
replicated:
size: 2
metadataServer:
activeCount: 1
# No standby-replay, unlike `cephfs`. A standby exists there so a failed
# MDS does not hang every CephFS mount cluster-wide; here the only casualty
# is a running pipeline, and a second daemon to protect throwaway work is
# not worth its memory.
activeStandby: false
resources:
# Deliberately NOT the 4Gi that `cephfs` needs. That figure is driven by
# immich's millions of cached inodes; a CI workspace is a few thousand
# short-lived files that vanish with the pipeline.
requests:
cpu: 100m
memory: 512Mi
limits:
memory: 1Gi
---
# CI-only class. `ceph-filesystem-ephemeral` is deliberately left pointing at
# the main filesystem: velero/restore-test.sh uses it to restore REAL data for
# verification, which must not land on unreplicated pools.
#
# A new class rather than repointing the old one — StorageClass.parameters are
# immutable, so `fsName` cannot be edited in place.
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
name: ceph-filesystem-ci
provisioner: rook-ceph.cephfs.csi.ceph.com
parameters:
clusterID: rook-ceph
fsName: cephfs-ci
pool: cephfs-ci-data0
csi.storage.k8s.io/provisioner-secret-name: rook-csi-cephfs-provisioner
csi.storage.k8s.io/provisioner-secret-namespace: rook-ceph
csi.storage.k8s.io/controller-expand-secret-name: rook-csi-cephfs-provisioner
csi.storage.k8s.io/controller-expand-secret-namespace: rook-ceph
csi.storage.k8s.io/node-stage-secret-name: rook-csi-cephfs-node
csi.storage.k8s.io/node-stage-secret-namespace: rook-ceph
# Delete, for the same reason ceph-filesystem-ephemeral uses it: with Retain,
# every finished pipeline leaks a Released PV pinning a subvolume (191 of them
# by 2026-07-16, issue #262 follow-up).
reclaimPolicy: Delete
allowVolumeExpansion: true
@@ -4,6 +4,5 @@ resources:
- cephcluster.yaml
- toolbox.yaml
- storageclass.yaml
- cephfs-ci.yaml
- volumesnapshotclass.yaml
- objectstore.yaml