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claude-botandClaude Opus 5 5b47dc3271 chore: bring immich back up, keep cephfs-metadata degraded until the end
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jupiter is converted and its OSD rebuilt, so the capacity constraint that took
immich down is gone with all three nodes back.

cephfs-metadata deliberately stays at size 2 / min_size 1. It has to be
degraded again for saturn and then neptune, and each transition re-replicates
the pool, so toggling it per node buys nothing but churn. Its comment said to
restore it once k8s-1 was back, which is now misleading about the plan; it
restores after the last conversion instead.

The immich comments lose their jupiter-specific framing — taking both
Deployments down is a pre-flight step for any single-node maintenance now, and
the runbook carries it.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-25 21:53:33 +02:00
k.renner 41e756107a Merge pull request 'feat(rook-ceph): re-add k8s-1, naming the PM983 by by-id path' (#580) from ceph-readd-k8s-1 into master
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Reviewed-on: k.renner/homelab#580
2026-08-25 19:13:28 +00:00
claude-botandClaude Opus 5 ef6558fbb5 feat(rook-ceph): re-add k8s-1, naming the PM983 by by-id path
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jupiter is back as a bare-metal Talos node, so its OSD returns to the storage
fleet on the new drive.

The device is named by /dev/disk/by-id rather than by bare device name, because
the bare name would be wrong here. Talos enumerates this machine's three NVMe
drives in a different order than Proxmox did, and nvme0n1 on k8s-1 is the
Kingston system disk:

  nvme0n1  50026B7382B48B86  Kingston  Talos system disk
  nvme1n1  2332E86B749A      Crucial   Talos EPHEMERAL (/var)
  nvme2n1  S437NX0M400426    PM983     this OSD

Rook would most likely have declined the system disk for carrying partitions,
but relying on that is luck rather than intent. The by-id path derives from
model and serial and does not depend on enumeration order.

k8s-2 and k8s-3 keep bare names: each guest sees exactly one block device,
the drive passed through from its host, so there is nothing to disambiguate.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-25 21:12:28 +02:00
k.renner 7804dbe169 Merge pull request 'fix(k8s-1): address links by name, and give the node a rescue path' (#578) from k8s-1-network-fix into master
Reviewed-on: k.renner/homelab#578
2026-08-25 19:11:00 +00:00
claude-botandClaude Opus 5 e4883870b8 fix(k8s-1): address links by kernel name instead of by alias
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The first install of this node came up with no address on any interface and had
to be recovered from the console. This is the configuration that replaced it,
now running on jupiter.

The alias layer was the cause, but not for the reason it first appeared. Reading
the v1.12.6 source: aliases ARE supported as VLAN parents — link_config.go
resolves parent links through the alias map, and the field's own doc comment
says so. The structure was fine. What is not fine is the failure behaviour.

LinkAliasConfigController skips a selector that matches zero links with no log
of any kind, contradicting the doc comment on the type which claims an error is
returned. And permanent_addr comes from the ETHTOOL_GPERMADDR ioctl with no
fallback to the current address, so a driver that does not answer it yields an
empty string, an unmatched glob, and silence.

That alone would have been survivable. What made it total is that Talos stops
running default DHCP operators for the WHOLE machine as soon as a single
new-style link, VLAN or DHCP document exists — the gate is presence of a
document, not success of resolution. So the silent miss removed the only
configured path while the safety net was already disabled. There is no fail-open
option.

Aliases are worth having and should come back. The condition is that they are
verified rather than assumed: apply with `--mode=try`, which rolls back on its
own, and check that linkaliasspec exists and that permanentAddr is actually
populated before trusting it. A LinkConfig on the real kernel name alongside the
alias resolves regardless of whether the alias landed, and costs nothing.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-25 21:10:00 +02:00
k.renner 13a18b3a96 Merge pull request 'feat(k8s-1): put EPHEMERAL on the retired Crucial, not the system disk' (#575) from k8s-1-ephemeral-on-crucial into master
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Reviewed-on: k.renner/homelab#575
2026-08-25 18:33:09 +00:00
claude-botandClaude Opus 5 fe6d232b3a docs(k8s-1): correct the device counts and the second I226's name
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Three NVMe drives are present, not two: the Crucial stays in the machine as
EPHEMERAL rather than being pulled.

The second I226 is enp90s0, not enp89s0. Adding that third drive renumbered
the PCI buses and renamed it, which is a concrete demonstration of why every
NIC in this file is matched by permanent MAC rather than by name or bus path.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-25 20:30:04 +02:00
claude-botandClaude Opus 5 d99628053c feat(k8s-1): put EPHEMERAL on the retired Crucial, not the system disk
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The Crucial P3 that was this node's Ceph OSD stays in the machine rather than
being pulled, and takes over /var. At 87% of rated endurance it is finished as
an OSD, but everything EPHEMERAL holds — containerd images and snapshots, pod
logs, the Ceph mon store — is reconstructible, so the drive is consumable in
that role.

It also removes the constraint that keeps biting elsewhere: /var becomes
~931 GB instead of the 64 GB the VM-era zvol gave it. k8s-3 tripped
DiskPressure twice today the moment it absorbed another node's pods, with
image GC already at its floor and ~20 GB of unreclaimable overlayfs snapshots.
This node will not have that problem, and the same treatment is available to
saturn and neptune when they convert.

Talos only honours volume configuration when the volume does not yet exist, so
this must ship in the first apply-config; applied later it is silently ignored
and relocating EPHEMERAL then needs a disk wipe and a boot from install media.

The selector matches an exact serial. There are three NVMe drives in this
machine now and `disk.transport == 'nvme' && !system_disk` would match the
PM983 as well, which would hand Talos the OSD drive.

Verified with talosctl validate --mode metal against v1.12.6.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-25 20:15:09 +02:00
k.renner 63fc1ce63e Merge pull request 'chore(immich): take server and machine-learning down for the jupiter window' (#570) from immich-window-scaledown into master
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Reviewed-on: k.renner/homelab#570
2026-08-25 15:36:48 +00:00
claude-botandClaude Opus 5 6c1f34e992 chore(immich): take server and machine-learning down for the jupiter window
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With one of three nodes out for the bare-metal conversion, the remaining pair
cannot hold the workload: cluster CPU requests exceed two nodes' capacity by
roughly 200m once DaemonSets and unplaceable Ceph pods are discounted, and
k8s-3 sits ~5.8 GiB above the kubelet's eviction threshold with image GC
already at its floor.

immich is the right thing to stop rather than squeeze. machine-learning
reserves 500m against a 2m idle draw, but inference bursts hard, so cutting
its request would misrepresent what it needs the moment someone uploads
photos. Stopping it removes the reservation honestly, and takes its pods and
image pulls off k8s-3 for the duration.

The Postgres cluster stays up, so recovery is these two replica counts and
nothing else.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-25 17:36:09 +02:00
k.renner 9e9fdf44bd Merge pull request 'fix(rook-ceph): list OSD nodes explicitly and drop k8s-1' (#568) from ceph-exclude-k8s-1 into master
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Reviewed-on: k.renner/homelab#568
2026-08-25 15:25:40 +00:00
claude-botandClaude Opus 5 b85107b95b fix(rook-ceph): list OSD nodes explicitly and drop k8s-1
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useAllNodes makes it impossible to retire an OSD ahead of pulling its drive.
Purging osd.2 and deleting its deployment held for one reconcile: the operator
saw a node it was told to use, carrying a device with a BlueStore signature,
and rebuilt the OSD. Ceph then began backfilling onto the very drive being
replaced.

Listing nodes explicitly makes membership of the storage fleet a property of
this file rather than of which nodes happen to exist, so a node can be removed
before its disk is touched.

k8s-1 is out while jupiter's OSD is swapped for the PM983 and the node is
converted to bare metal. The cluster runs on two OSDs until it is re-added;
all pools are size 2 / min_size 1 and stay fully redundant across the pair.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-25 17:24:47 +02:00
k.renner 2038cd34ae Merge pull request 'fix(crowdsec): request 50m CPU instead of the chart's 500m' (#567) from crowdsec-cpu-requests into master
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Reviewed-on: k.renner/homelab#567
2026-08-25 15:07:22 +00:00
claude-botandClaude Opus 5 315c9aeb46 fix(crowdsec): request 50m CPU instead of the chart's 500m
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Draining k8s-1 for the jupiter conversion left three pods unschedulable:
k8s-2 and k8s-3 both sat at 100% of requested CPU while actually using 21-23%.
Cluster-wide the gap is 19,680m requested against 7,957m used.

crowdsec is the clearest single contributor. The chart defaults reserve 500m
for each agent and for the LAPI; measured draw is 1-2m. As a DaemonSet the
agent alone parks half a core on every node. Nothing here had ever set
resources, so this was an inherited default rather than a decision.

Only the request changes. Limits stay at the chart default, so a log flood can
still burst to 500m; what shrinks is the reservation the scheduler subtracts
from every node whether or not the process uses it.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-25 17:05:05 +02:00
k.renner 3e57ed5c2d Merge pull request 'feat(k8s-1): run Talos on bare-metal jupiter and swap the OSD to U.2' (#566) from jupiter-baremetal-u2 into master
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2026-08-25 14:51:53 +00:00
claude-botandClaude Opus 5 6380f02ca4 feat(k8s-1): run Talos on bare-metal jupiter and swap the OSD to U.2
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jupiter's Crucial P3 Plus OSD is at 87% endurance used, and reaching the
MS-01's only U.2-capable slot means moving the boot drive anyway. Doing the
bare-metal conversion in the same window avoids opening the machine twice and
throws away no work: the osd-ssd PCI mapping that a Proxmox-side swap would
need to be re-pointed at ceases to exist.

Networking uses the v1.12 multi-document config rather than the deprecated
machine.network.interfaces. The docs do not define what happens when one link
is configured by both schemas, so k8s-1 keeps every link in one of them. This
also buys VLANConfig.name, which is free-form: naming the VLAN 30 link ens19
keeps the four v30iot macvlan NADs working unchanged across VM and bare-metal
nodes, so the cluster can stay mixed without pinning those workloads.

Physical NICs are matched by permanent MAC, not driver — both X710 ports bind
i40e here, unlike the single passed-through port k8s-2/k8s-3 see.

cephfs-metadata drops to size 2 / min_size 1 for the duration. At size 3 on
two remaining hosts every PG sits undersized with min_size 2, so one further
OSD loss would block IO on every CephFS mount cluster-wide. This must go back
to size 3 once k8s-1 rejoins.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-25 16:44:21 +02:00
k.renner 47c1170d51 Merge pull request 'perf(velero): run the restore-test monthly instead of weekly' (#565) from velero-restore-test-monthly into master
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Reviewed-on: k.renner/homelab#565
2026-08-25 13:42:55 +00:00
claude-botandClaude Opus 5 44aa0d6919 perf(velero): run the restore-test monthly instead of weekly
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The sweep restores every discovered Velero schedule, immich's ~180 GiB
library included. At size 2 that is ~360 GiB raw, ~120 GiB per OSD, and
measured on 2026-08-25 it was ~350 of the ~740 GB each drive wrote per
week — ~47% of the endurance budget, against a ~65 GB/day weekday
baseline.

That baseline is itself the result of the 2026-08-18..21 write-reduction
work (#518, #519, #520, CNPG checkpoint tuning, RAM-backed emptyDirs,
paperless data to RBD, CI workspaces to cephfs-ci), which cut per-drive
writes ~70% from ~195 GB/day. With the application tier down, the restore
test is now the single largest consumer of remaining QLC endurance; the
three OSD drives are at 81/82/87% used.

Monthly still exercises every restore path and cuts the sweep's share of
drive wear ~4x, moving per-drive weekly writes from ~740 GB to ~530 GB.

Cadence-only change:
- 0 8 * * 0 -> 0 8 1 * *, keeping the 08:00 UTC slot that clears the
  03:15-07:15 daily backup window (see the comment in the manifest).
- ttlSecondsAfterFinished 14 d -> 40 d, so the previous run is still
  inspectable when the next one fires.
- Comments and docs that state the cadence updated to match, including
  the BLUESTORE_SLOW_OP_ALERT runbook text, which tells the reader to
  check whether a stall fell inside the restore-test window.

No day-of-week form is available: Kubernetes parses cron with
robfig/cron's standard parser, whose day-of-week field allows only
`* / , - ?` (no Quartz `#` nth-weekday), and restricting both day fields
ORs them.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-25 07:44:21 +02:00
k.renner a8a7aa9765 Merge pull request 'docs(zigbee2mqtt): record the WS90 ZCL reporting configuration' (#564) from ws90-reporting-config into master
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2026-08-24 17:58:48 +00:00
claude-botandClaude Opus 5 c0791e2747 docs(zigbee2mqtt): record the WS90 ZCL reporting configuration
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The Wetterstation now carries a non-default reporting configuration: min
interval 5s on all ten reportable attributes, and tighter reportable-change
deadbands on temperature, humidity and pressure. None of it is expressible
in configuration.yaml - Zigbee2MQTT has no settings-schema field for
reporting configuration - so it lives only on the device and in Z2M's
database.db. This documents it and how to restore it.

min was 10s against an 8.8s transmit interval. Since min is a hold-off, every
change-triggered report was held past a transmit cycle and landed on the
next, so attributes reported at best every 17.6s and drifted out of phase.
The published stream showed no 8.8s periodicity at all. At min 5 each
attribute reports on its own transmit and the stream carries one publish per
cycle, measured at a mean gap of 8.69s. Publish volume fell from ~631/h to
~445/h because each publish is now a whole cycle rather than a fragment.

The deadbands come from the shared modernExtend helpers, which the WS90
definition composes without overrides. They are anti-chatter values sized for
battery-powered indoor sensors. Temperature was 1.00 C, giving a staircase
that moved about twice an hour; it is now 0.1 C, matching the resolution the
device actually reports. Pressure was 5 kPa - 50 hPa, which real barometric
pressure never traverses, so it only ever updated on the hourly heartbeat
that pressure_trend and weather_condition derive from. Note the same library
configures the identical ZCL attribute with a 5 hPa deadband in its older
reporting.ts helper, so the two code paths disagree by 10x.

Anything that makes Z2M re-run configure on the device reverts all of it, and
a fresh PVC will not have it. The restore commands are 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 was executed and
verified as written, including the read-back, and re-applying is a no-op.

No behaviour change from this commit itself - the device was reconfigured at
runtime, this only records it.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-24 19:15:22 +02:00
k.renner 2e00109f66 Merge pull request 'docs(zigbee2mqtt): the WS90 merge does not make the glitch detectable' (#561) from fix-ws90-merge-overclaim into master
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Reviewed-on: k.renner/homelab#561
2026-08-24 17:07:34 +00:00
security-bot 394d8995a6 chore(image-automation): bump woodpeckerci/woodpecker-server:v3.18.0
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Updates managed by image-automation-controller.
2026-08-24 10:50:03 +00:00
security-bot 0685044ce6 chore(image-automation): bump woodpeckerci/woodpecker-agent:v3.18.0
Updates managed by image-automation-controller.
2026-08-24 10:50:01 +00:00
claude-botandClaude Opus 5 06ffc3c910 docs(zigbee2mqtt): the WS90 merge does not make the glitch detectable
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#560 claimed a merged episode "surfaces as a single all-zero frame". It
does not, and the difference decides whether a downstream filter is even
possible.

The zeros propagate attribute by attribute through the burst, so the
merged frame carries whatever subset had zeroed when that burst ended.
Across three episodes captured at nanosecond resolution the propagation
happened to complete, which is where the wrong generalisation came from.
Nothing guarantees it. A burst ending mid-propagation publishes a frame
with temperature at zero while humidity and pressure still read normally,
which is a physically consistent measurement - Z2M recomputes dew_point
from the false temperature - and is not separable from a genuine winter
reading.

The zeros also begin inside an otherwise normal transmit cycle, roughly
20ms after a valid reading in the same burst (measured: 27.7ms, 19.8ms,
22.0ms). They occupy a regular reporting slot, so no timing property
distinguishes them either.

Since the merge is last-wins and the zeros arrive at the tail of the
burst, it resolves that burst to the zeros and discards the valid reading
that led it. So debounce trades six bad samples per episode for one, at
the cost of one good sample. That is a bound on the corruption, not a
filter, and the comment now says so.

No behaviour change; the debounce value and device stanza are untouched.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-24 06:41:14 +02:00
k.renner 89582c9c9f Merge pull request 'chore(ci): bump alpine to 3.24.1 in deploy-infrastructure' (#551) from bump-stale-ci-images into master
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2026-08-23 20:59:54 +00:00
k.renner 3f8e9fe333 Merge pull request 'fix: [alert] CephHealthWarn (rook-ceph) (#557)' (#558) from alert-fix/issue-557 into master
Reviewed-on: k.renner/homelab#558
2026-08-23 20:59:29 +00:00
k.renner fd8412b9d7 Merge pull request 'fix: [alert] KubeJobFailed (openbao) (#554)' (#555) from alert-fix/issue-554 into master
Reviewed-on: k.renner/homelab#555
2026-08-23 20:58:45 +00:00
k.renner 1c51b78fda Merge pull request 'fix: [alert] KubeJobFailed (wordpress) (#550)' (#553) from alert-fix/issue-550 into master
Reviewed-on: k.renner/homelab#553
2026-08-23 20:58:28 +00:00
k.renner 96a51f1337 Merge pull request 'docs(zigbee2mqtt): correct the WS90 debounce rationale' (#560) from fix-ws90-debounce-rationale into master
Reviewed-on: k.renner/homelab#560
2026-08-23 20:57:51 +00:00
claude-botandClaude Opus 5 87c6f1235c docs(zigbee2mqtt): correct and trim the WS90 debounce comment
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The value is unchanged and correct; the comment committed alongside it in
#559 was neither accurate nor the right place for most of what it said.

Accuracy. It cited the device's ZCL reporting configuration as the bound,
reading minRepIntval 10 as "the station updates every 10s". minRepIntval
is not a cadence: with maxRepIntval 3600 and a reportable change set, the
ZCL reporting model gives periodic reports at the MAXIMUM interval — once
an hour — plus change-driven reports each held back so it lands no sooner
than 10s after the previous. It is a hold-off on change-triggered reports
and says nothing about the gap between reports of different attributes,
which is what a debounce window sees.

The bound that applies is the documented transmit interval — readings
every 2s, transmitted every 8.8s — against Z2M's documented rule not to
set debounce above the sensor's update interval. Shelly's knowledge base
rounds the same figure to 9s.

It also claimed the window had to exceed 1s because "the recovery burst
straddles a second boundary", inferred from log lines stamped 11:42:11
and 11:42:12. Those are second-resolution timestamps and cannot
distinguish 10ms from 900ms. No lower bound was ever established.

Length. The rest was commit-message material sitting in a config file:
justification for the chosen value, gap-distribution and run-length
measurements, and notes reconciling my own earlier misreadings. Comments
state facts about the system, not the history of arriving at them. What
remains is what the device does, what debounce does to it, and the
constraint on the value — 41 lines down to 13.

Verified before writing: post-debounce frames arrive complete (all 22
fields, no partials) at a settled ~10s cadence.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-23 22:39:20 +02:00
k.renner 1ce3f449d4 Merge pull request 'feat(zigbee2mqtt): 2.13.0 and debounce the WS90 report burst' (#559) from worktree-z2m-2.13.0-ws90-debounce into master
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2026-08-23 20:06:50 +00:00
claude-botandClaude Opus 5 91e55d3b56 feat(zigbee2mqtt): 2.13.0 and debounce the WS90 report burst
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Two changes to the Wetterstation (Ecowitt WS90, 0xc02cedfffe958f40), both
aimed at the station's recurring zero-drop glitch.

2.13.0 carries zigbee-herdsman-converters#12748, which discards the ZCL
non-value markers (0xffff / 0xff / 0xffffff) the WS90 emits when a reading
is unavailable. Without it those markers are scaled and published as
measurements — the 6553 m/s gust readings in Koenkk/zigbee2mqtt#31048. The
release also recovers the rain rate after a counter reset, which is the
same lifetime-counter dip that packages/wetterstation.yaml compensates for
on the Home Assistant side. Its only breaking change is dropping Node.js 20
for bare-metal installs; the container ships its own runtime. The amd64
manifest was verified pullable before this commit.

debounce: 2 addresses the part 2.13.0 does not fix. Koenkk/zigbee2mqtt#31048
is still open, and the author of #12748 states explicitly that it does not
cover the zero drops: "a zero can be a real reading for these attributes,
only the all-bits-set markers are provably invalid."

The station reports as a burst of seven per-cluster ZCL frames and Z2M
publishes its full cumulative state once per frame, so one device report
becomes seven MQTT messages. During a glitch the zeros appear progressively
across those seven, which is what makes the corruption unrecognisable
downstream: an intermediate frame carrying {"temperature":0,"humidity":92,
"pressure":96.9} is internally consistent (Z2M recomputes dew_point from the
false temperature) and cannot be told apart from a legitimate winter
reading. Merging the burst yields a single frame with the all-zero
signature, which a consumer can reject.

The window is bounded on both sides. Above: the device's own reporting
configuration sets minRepIntval 10 / maxRepIntval 3600 on all seven WS90
clusters (1024/1026/1027/1029 and 0xfc01/0xfc02/0xfc03), so no attribute
repeats inside 10s. Below: the recovery burst straddles a second boundary,
so 1s splits it and emits a partial frame.

Staggering was checked rather than assumed — the 10s floor is per attribute,
and nine attributes report across those clusters, so a trailing-edge timer
could in principle keep resetting and never flush. Over 6h the longest
unbroken chain of sub-2s gaps was 5, bounding worst-case deferral under
~10s.

The device is also absent from the seeded device list, which predates it
joining, so this adds the friendly_name too.

NOTE: this file is seed-only. A running Z2M owns its configuration.yaml on
the PVC, so this does not change the live instance — it only makes a fresh
PVC come up correctly. debounce is requiresRestart, so applying it live
needs the option set on the running instance and a restart; the image bump
supplies the restart.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-23 22:03:17 +02:00
issue-fix-bot 8386f755d1 fix: [alert] CephHealthWarn (rook-ceph) (#557)
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2026-08-23 18:46:50 +00:00
issue-fix-bot cf63aa61be fix: [alert] KubeJobFailed (openbao) (#554)
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2026-08-22 02:45:05 +00:00
issue-fix-bot 08289947a1 fix: [alert] KubeJobFailed (wordpress) (#550)
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2026-08-21 21:47:22 +00:00
security-bot 287cce7d1a chore(image-automation): bump ghcr.io/home-assistant/home-assistant:2026.8.3
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Updates managed by image-automation-controller.
2026-08-21 21:42:10 +00:00
claude-bot 5b6a55c8ba chore(ci): bump alpine to 3.24.1 in deploy-infrastructure
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From the #426 audit. Tag verified present before bumping.

The kaniko bump that was originally in this branch is dropped. It would
have pinned a new `-debug` image, and debug variants are not to run in
the production cluster. kaniko is archived upstream, so the fix is
migration rather than a version bump; tracked in #552 along with the
`-debug` requirement.
2026-08-21 22:55:02 +02:00
k.renner adefaab7e8 Merge pull request 'docs(rook-ceph): cut the narrative out of the ceph manifest comments' (#548) from document-pool-no-redundancy-meaning into master
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Reviewed-on: k.renner/homelab#548
2026-08-21 20:28:21 +00:00
claude-bot 9a43330701 docs(rook-ceph): cut the narrative out of the ceph manifest comments
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Comments should say what the setting does and what constrains it. The
blocks added in #542, #544, #545 and #547 had grown into incident
write-ups: measurement runs, prior values, how a problem was found,
what a check used to be. That belongs in commit messages and the wiki,
both of which already carry it.

Trimmed, no behaviour change:

  cephcluster.yaml       22 lines -> 6   (cephx rotation)
  cephfs-ci.yaml         26 lines -> 7   (why size 2)
  prometheusrule-ceph.yaml                (CephHealthWarn, 43 -> 13;
                                           CephPoolLostRedundancy, 15 -> 7)

The operative facts are kept: which checks are excluded and why they
cannot clear, that POOL_NO_REDUNDANCY reports blocked maintenance and
not only data risk, and that size 1 needs dedicated OSDs.
2026-08-21 22:27:10 +02:00
k.renner 9c796b924b Merge pull request 'fix(rook-ceph): raise cephfs-ci to size 2 — size 1 blocks all OSD maintenance' (#547) from fix-ci-pool-blocks-osd-maintenance into master
Reviewed-on: k.renner/homelab#547
2026-08-21 20:22:07 +00:00
claude-bot 85996991b6 fix(rook-ceph): raise cephfs-ci to size 2 — size 1 blocks all OSD maintenance
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The unreplicated CI pools introduced in #542 make every OSD on the
cluster permanently un-restartable.

`ceph osd ok-to-stop` refuses while stopping an OSD would take PGs
offline. A size-1 pool puts every PG on exactly one OSD, so the check
fails for all three:

  Error EBUSY: unsafe to stop osd(s) at this time
               (20 PGs are or would become offline)
  bad_become_inactive: 13.6 13.9 ... 14.1c 14.1d

Pools 13 and 14 are cephfs-ci-metadata and cephfs-ci-data0. The size-2
pools are not implicated — they run min_size 1 and appear under
ok_become_degraded, which is allowed.

Rook gates OSD restarts on that check, so this blocks CephX key
rotation, Ceph upgrades, node drains and reboots, and drive
replacement. It surfaced when #545 deadlocked: Rook retried
ok-to-stop against all three OSDs several times a second and could
never succeed, while `ceph -s` reported 217 pgs active+clean
throughout. Nothing is unhealthy; the restarts are simply refused.

The reasoning in #542 was that unreplicated CI data only risks
in-flight pipelines, since every byte is a fresh git clone. That part
holds. What it missed is that the cost is not scoped to the pool: one
unreplicated pool freezes maintenance for the entire cluster.

Most of #542's saving came from keeping CI churn off `cephfs`, whose
metadataPool is size 3 — that survives this change. Only the second-
order gain from dropping the replica is given up, and cephfs-ci-data0
stores 0 B with cephfs-ci-metadata at 182 MiB, so the backfill is
trivial.

size 1 becomes viable again once these pools sit on OSDs of their own,
where the permanently un-stoppable OSD holds nothing but throwaway
data. That is planned with the retired QLC drives.

Alerting follows the same change:

- POOL_NO_REDUNDANCY is no longer excluded from CephHealthWarn. It was
  excluded because cephfs-ci was expected to keep it permanently
  active; no pool is unreplicated now, so the exclusion would only
  hide a real one losing its replicas.
- CephPoolLostRedundancy drops its cephfs-ci exemption for the same
  reason, and its description now states the maintenance consequence,
  not just the data-loss one.
- The AUTH_INSECURE_* exclusion is reworded. Calling it
  "known-accepted" reads as a decision that the risk is fine; it is a
  kernel-blocked remediation (aes256k over the CSI mount path needs
  kernel 7.0+, nodes run 6.18).

Refs #542, #545, #527
2026-08-21 22:21:11 +02:00
k.renner 04b8c93113 Merge pull request 'fix(rook-ceph): rotate CephX daemon keys to close CVE-2025-30156' (#545) from rotate-cephx-daemon-keys into master
ci/woodpecker/cron/alert-monitor Pipeline was successful
Reviewed-on: k.renner/homelab#545
2026-08-21 20:07:25 +00:00
claude-botandClaude Opus 5 2abd946c05 fix(rook-ceph): rotate CephX daemon keys to close CVE-2025-30156
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Ceph v19.2.6 ships the fix for CVE-2025-30156, a CephX authentication
bypass: AES-128-CBC service tickets carry no HMAC and use a hard-coded
IV, so a holder of any low-privilege key can bit-flip a ticket into
cluster-admin in linear time. Upgrading the binaries does not resolve
it — the keys themselves must be rotated to the aes256k cipher.

The cluster is mid-procedure. auth_allowed_ciphers (aes, aes256k),
auth_preferred_cipher (aes256k) and auth_service_cipher (aes256k) are
already set, and the rotating service keys were wiped, but no actual
key rotation has happened: every entity in status.cephx is still
keyGeneration 1 with keyType aes, created under 19.2.3.

Rook automates daemon-key rotation but it is opt-in and defaults to
Disabled, so spec.security.cephx was left empty and nothing rotated.
Rook v1.20.6 and Ceph v19.2.6 are both past the version floor the
feature requires.

Rotating daemon keys clears AUTH_INSECURE_SERVICE_KEY_TYPE, the only
one of the six new checks at ERR severity. That is the operationally
urgent part: Rook skips CephFS and RGW reconciliation entirely while
health is HEALTH_ERR — which is what deadlocked the mds/rgw rollout in
issue #527 — and the check is presently held down only by a mon-side
mute with a finite TTL. When that mute lapses the cluster returns to
HEALTH_ERR and the reconcile freeze comes back.

CSI keys are deliberately left on aes. aes256k over the CSI mount path
requires a host kernel of 7.0 or newer and these nodes run 6.18, so
`aes` must stay in auth_allowed_ciphers for CSI to authenticate at all.
AUTH_INSECURE_CLIENT_KEY_TYPE, AUTH_INSECURE_KEYS_ALLOWED and
AUTH_INSECURE_KEYS_CREATABLE therefore stay raised at WARN until the
nodes run a kernel that supports it.

Rotation restarts most Ceph daemons. With size 2 pools across 3 OSDs
this should be applied deliberately rather than alongside other churn,
and Ceph should reach HEALTH_OK before anything else touches the
cluster.

Refs #527, #528

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-21 22:05:10 +02:00
k.renner 8c0a6b2b1e Merge pull request 'fix(monitoring): CephHealthWarn has been firing continuously and hiding everything' (#544) from fix-ceph-health-alert into master
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2026-08-21 08:02:00 +00:00
claude-bot cf6ff839be fix(monitoring): CephHealthWarn has been firing continuously and hiding everything
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CephHealthWarn alerted on `ceph_health_status == 1`. It has been FIRING since
at least 2026-08-21T00:26Z and cannot clear: four AUTH_INSECURE_* checks are
permanently active from CVE-2025-30156 (#527) and stay that way until Rook
>=1.20.5 lands. A permanently-firing alert reports nothing -- every Ceph
warning since then has been invisible behind it.

This is a pre-existing gap, not a consequence of the cephfs-ci work, though
that work would have added a second permanent cause (POOL_NO_REDUNDANCY, since
the CI pools are size 1 on purpose).

ceph_health_detail exposes each check as its own series, so the alert now fires
on any check that is NOT known-accepted, and names it. Verified against live
data: 5 checks active, 0 unexpected, so it is quiet now and fires the moment
something genuinely new appears.

Excluding POOL_NO_REDUNDANCY wholesale would give something up: that check is
cluster-wide and does not say WHICH pool, so accepting it for cephfs-ci would
equally hide a production pool dropping to one replica. CephPoolLostRedundancy
restores that. There is no pool-size metric, but bytes_used/stored IS the
replication factor -- verified live as replicapool 2, cephfs-data0 2,
cephfs-metadata 3, cephfs-ci-metadata 1.

Both alerts were tested against live data before committing, in BOTH
directions. The positive control matters as much as the negative one: an early
draft used a >1e9 floor which silently excluded the CI pools entirely, so the
expression could not have matched anything. It looked correct precisely because
it returned no results. The control caught it; the floor is now 1e6.

The floor is not what suppresses the near-empty rgw pools. Their ratios are
9-36 because per-object overhead dominates, so they never match `< 1.5`.

6h on CephHealthWarn is unchanged -- Ceph warns for self-clearing conditions
and paging on those trains people to ignore the alert.
2026-08-21 09:53:37 +02:00
k.renner a11493ee22 Merge pull request 'perf(woodpecker): put CI workspaces on the unreplicated CephFS' (#543) from repoint-ci-workspaces into master
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Reviewed-on: k.renner/homelab#543
2026-08-21 07:32:11 +00:00
claude-bot 7666d220c5 perf(woodpecker): put CI workspaces on the unreplicated CephFS
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Repoints WOODPECKER_BACKEND_K8S_STORAGE_CLASS at ceph-filesystem-ci, the
dedicated filesystem added in #542 whose pools are both size 1.

Measured 2026-08-21, polling both CephFS pools every 15s:

  CI active   1.5 min (6 intervals):  data0 143.2 MB   metadata 17.2 MB
  CI idle    16.0 min (63 intervals): data0   0.0 MB   metadata 11.0 MB
  CI share of writes: data0 100%, metadata 61%

data0 takes zero bytes across 16 minutes without a pipeline, so its entire
write volume is CI. The 15s cadence is what made this visible: a pipeline
creates, uses and deletes its PVC inside ~2 minutes, so a 5-minute sample
reported no CI pods during bursts CI was causing.

Per pipeline this moves the drive cost from 71.6x2 + 8.2x3 = ~168 MB to
~80 MB, since neither pool is replicated on the new filesystem.

RWX is unchanged and still required: pipeline steps share the workspace PVC
and the k8s backend can schedule them on different nodes, so an RWO volume
fails to mount on the second node. Only the filesystem underneath changes.

Also corrects the justification written into #542 for leaving
ceph-filesystem-ephemeral alone. That commit claimed restore-test.sh handles
"REAL data which must not land on unreplicated pools". That is wrong: its
probe PVCs are as throwaway as a CI workspace -- the authoritative copy is the
backup on Hetzner, and losing a probe just means re-running the test.

The actual reason it cannot move is technical: those probes are snapshot
CLONES, and `ceph fs subvolume snapshot clone` operates within a single
filesystem, so a snapshot taken in `cephfs` cannot be cloned into `cephfs-ci`.
Landing them unreplicated would require a second size-1 data pool inside
`cephfs`; restore-test runs weekly against CI's ~96 pipelines/day, so that is
not worth the complexity.

cephfs-ci verified healthy before this change: PHASE Ready, MDS Running, both
pools reporting size 1.
2026-08-21 09:31:01 +02:00
k.renner baa5e62bbe Merge pull request 'feat(rook-ceph): add an unreplicated CephFS for CI workspaces' (#542) from ci-throwaway-cephfs into master
ci/woodpecker/cron/alert-monitor Pipeline was successful
Reviewed-on: k.renner/homelab#542
2026-08-21 07:27:47 +00:00
claude-bot 503d2a4876 feat(rook-ceph): add an unreplicated CephFS for CI workspaces
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Woodpecker's Kubernetes backend creates a PVC per pipeline, fills it with a
checkout plus build output, and deletes it when the pipeline ends. Those
workspaces currently live on the shared `cephfs`, so throwaway data is
replicated as if it mattered: 2x in cephfs-data0 and 3x in cephfs-metadata.

Measured 2026-08-21 by polling both pools every 15s. The interval matters --
at 5 minutes a whole pipeline is invisible, because its PVC is created, used
and deleted inside ~2 minutes. Sampling that slowly reported zero CI pods
during bursts CI was causing, which sent this investigation down three wrong
paths before the cadence was fixed.

  one pipeline, a single 15s interval:  data0 +71.6 MB   metadata +8.2 MB
  every interval with no CI pod:        data0   ~0        metadata   ~0

So CI accounts for essentially all CephFS write volume; between pipelines the
metadata pool is quiet at ~4 MB/day. On the shared filesystem one pipeline
costs 71.6x2 + 8.2x3 = ~168 MB of drive writes. On this one it costs ~80 MB.

size 1 is correct here even though it was rejected for `cephfs`. There,
metadataPool stays at 3 because losing it destroys the entire filesystem
rather than the objects on one OSD, and 550 GiB of real data depends on it.
Here every byte is a fresh git clone: total loss means in-flight pipelines
fail and get re-run. Replicating throwaway data was the cost, so it is what
gets removed.

`ceph-filesystem-ephemeral` is deliberately NOT repointed. It has a second
consumer -- velero/restore-test.sh restores REAL data through it for
verification, which must not land on unreplicated pools. A new class also
sidesteps StorageClass.parameters being immutable.

Nothing uses ceph-filesystem-ci yet, so this commit is inert: it provisions
the filesystem and its MDS and changes no existing workload. Repointing the
Woodpecker agent is a separate change, once this is confirmed healthy.

Known consequence: size 1 raises POOL_NO_REDUNDANCY, so cluster health will
warn until that is addressed. Silencing it via mon_warn_on_pool_no_redundancy
is cluster-wide and would also hide a production pool dropping to 1, so it
wants a targeted alert instead -- deliberately left out of this commit rather
than switching the warning off blind.

The MDS is 512Mi/1Gi with no standby, not the 4Gi active+standby that `cephfs`
runs. That figure is driven by immich's cached inode count; a CI workspace is
a few thousand files that vanish with the pipeline, and a second daemon to
protect throwaway work is not worth its memory.
2026-08-21 08:55:33 +02:00
security-bot 48407aa202 chore(image-automation): bump redis:8.10.1-alpine
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2026-08-20 17:37:50 +00:00
security-bot ce6e8ba2cb chore(image-automation): bump redis:7.4.11-alpine
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2026-08-20 17:19:40 +00:00
k.renner 96387108ff Merge pull request 'perf(cnpg): roll archive_timeout out to the remaining six clusters' (#541) from rollout-archive-timeout into master
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Reviewed-on: k.renner/homelab#541
2026-08-20 13:39:00 +00:00
claude-bot 119b2c77ef perf(cnpg): roll archive_timeout out to the remaining six clusters
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A WAL segment is a fixed 16 MiB file. archive_timeout forces a switch on a
timer, and the switched-out segment is written and archived at its full size
no matter how little real WAL it holds. CNPG defaults to 5min, permitting
288 segments/day per cluster of largely padding.

gf-pg went first as a staged rollout and is now verified: 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, and the measured result matched the ~35
MB/hour predicted beforehand.

Fleet-wide this is worth roughly 18 GB/day of logical writes, which at
size=2 with ~1.27x BlueStore overhead is ~45 GB/day at the drives -- about
14% of the 328 GB/day the three OSD NVMes currently take.

ak-pg gets 15min rather than 30min. It holds credentials, sessions and
enrolment state, and the extra 15min would save only a further 0.3 GB/day,
which does not justify doubling the worst-case loss window on that data.

ha-pg saves least in relative terms: its segments are already 63% full of
real WAL (4.9 GB/day), so the timer is not what drives most of its switches.

Also corrects two comments in ha-pg-cluster.yaml that this work falsified.

wal_compression: the claim that these clusters "were not getting compression"
was wrong -- "on" is pglz, which was already compressing. Switching to zstd
moved the WAL rate not at all (4911/4976 -> 5002 MB/day, by LSN advance over
20min windows). Full-page images genuinely are ~62% of WAL here (61.9%
measured as a steady-state delta, against 62.4% lifetime -- so the migration
did not skew it, which was my first guess and it was wrong). There was simply
no headroom between pglz and zstd on this data. zstd is kept because it is
not worse and costs nothing, but it is not a lever.

checkpoint_timeout: 15min -> 30min likewise did not move WAL. Probable reason
is that a recorder is append-mostly -- a page is dirtied while it fills and
then not touched again, so it pays its full-page image once whatever the
checkpoint interval. Kept, but flagged as unjustified pending a data-file
measurement: this volume takes ~11 GB/day against 4.9 GB/day of WAL, so most
of its traffic is outside what a WAL measurement can see.

Context: drive-endurance work on three QLC NVMe OSDs at 81-87% wear.
2026-08-20 15:36:26 +02:00
k.renner 1d2248139d Merge pull request 'perf(grafana-db): raise archive_timeout to 30min on gf-pg (re-target of #539)' (#540) from archive-timeout-gf-pg into master
ci/woodpecker/cron/alert-monitor Pipeline was successful
Reviewed-on: k.renner/homelab#540
2026-08-20 12:49:41 +00:00
claude-bot 0a9d19a7c6 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 14:37:46 +02:00
k.renner 082092c4ba Merge pull request 'perf(cnpg): compress WAL with zstd instead of pglz' (#538) from reduce-pg-wal-fpi into master
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Reviewed-on: k.renner/homelab#538
2026-08-20 12:30:18 +00:00
claude-bot 591c76fb86 perf(cnpg): compress WAL with zstd instead of pglz
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`wal_compression: "on"` resolves to pglz, PostgreSQL's original 2016-era
algorithm. Every CNPG cluster here was set that way, so none of them were
getting the compression actually available to them: all seven builds accept
lz4 and zstd (verified via pg_settings.enumvals on each, including immich's
custom pgvector image and trmnl's PostgreSQL 18).

This matters because of what dominates recorder-style write volume. A page
is written to WAL in full -- all 8 KiB -- on its first modification after a
checkpoint, for torn-page protection. Measured on ha-pg, those full-page
images are 62.4% of WAL bytes. Compressing them is therefore the single
largest lever available on WAL volume, and pglz was the weakest option for
the job.

ha-pg additionally moves checkpoint_timeout 15min -> 30min. Full-page images
are emitted once per page per checkpoint interval, so doubling the interval
roughly halves how often each hot page pays the 8 KiB toll. max_wal_size
stays at 2GB deliberately: it must remain well above what one interval
generates, or checkpoints would trigger on size and the interval change
would do nothing. Recovery replays at most one interval of WAL -- under
200MB at the measured rate, i.e. seconds.

The other six clusters keep checkpoint_timeout at 15min. Their measured
write rates do not justify trading recovery time: gf-pg generates 4.5 MB/day
of WAL and wp-pg 62 MB/day, against ak-pg's 604 MB/day.

full_page_writes stays on everywhere. Disabling it would remove the
overhead entirely but RBD can tear a page across an object boundary, and
the trade is write volume against an unrecoverable database.

Both parameters are sighup-reloadable, so this does not restart any cluster.

Context: drive-endurance work on three QLC NVMe OSDs at 81-87% wear.
2026-08-20 14:03:18 +02:00
k.renner f26a98688c Merge pull request 'fix(monitoring): drop apiserver high-cardinality histograms' (#537) from fix-prometheus-cardinality into master
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Reviewed-on: k.renner/homelab#537
2026-08-20 11:28:21 +00:00
claude-botandClaude Bot 3c770f2a8d fix(monitoring): drop apiserver high-cardinality histograms
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Prometheus held 298,236 active series. ~108,000 of them -- over a third -- were
apiserver/etcd `_bucket` histograms. Each fans out to one series per bucket x
verb x resource x scope, so a single metric was 23,810 series on its own. Every
Home Assistant metric combined is ~4,100 for comparison.

That cardinality is the dominant driver of Prometheus write volume (~11 GB/day of
TSDB + WAL, doubled again by Ceph replication) and none of it is observable value
on three nodes: per-bucket apiserver latency quantiles are for clusters with SLAs
and dozens of nodes.

Dropped, all verified to have ZERO rule dependencies by checking each metric
against the live alert and recording rules:

  apiserver_request_duration_seconds_bucket        rules=0   23,810 series
  apiserver_request_body_size_bytes_bucket         rules=0   23,200
  etcd_request_duration_seconds_bucket             rules=0   15,840
  apiserver_watch_list_duration_seconds_bucket     rules=0   11,538
  apiserver_watch_cache_read_wait_seconds_bucket   rules=0    8,232
  apiserver_response_sizes_bucket                  rules=0    7,592
  apiserver_watch_events_sizes_bucket              rules=0    5,220
                                                            -------
                                                             95,432

KEPT deliberately: apiserver_request_sli_duration_seconds_bucket (12,144 series).
23 recording rules depend on it, including the apiserver availability SLO and the
KubeAPIErrorBudgetBurn burn-rate series. Dropping it would silently break that
alerting -- the manifest says so inline, so a later "tidy up" of the regex does
not remove it by accident.

Only `_bucket` series are dropped. The matching `_count` and `_sum` remain, so
request rates and mean latencies still work; what is lost is per-bucket
quantiles.

etcd_* is included even though kubeEtcd is disabled: those are the apiserver's
own etcd-client metrics on the apiserver endpoint, not a separate etcd scrape.

Expected: ~32% fewer active series, so roughly 11 -> 7 GB/day of Prometheus
writes, ~8 GB/day off the drives once replication is counted. Will verify against
prometheus_tsdb_head_series rather than assume.

Refs #434

Co-Authored-By: Claude Bot <noreply@anthropic.com>
2026-08-20 13:25:49 +02:00
k.renner e8ad1f704e Merge pull request 'fix(cnpg-barman): take the sidecar tag out of base64 and track it' (#536) from fix-barman-sidecar-visible into master
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Reviewed-on: k.renner/homelab#536
2026-08-20 10:59:27 +00:00
claude-botandClaude Bot 154c933177 fix(cnpg-barman): take the sidecar tag out of base64 and track it
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An image reference is not a secret. Encoding it as base64 `data` had two real
costs: no reviewer sees a version change in a diff, and no $imagepolicy marker
can attach to a base64 blob.

The result was a two-minor version skew in the component that performs every
base backup and WAL archive for seven Postgres clusters (#535):

  controller  plugin-barman-cloud:v0.14.0          <- auto-bumped by Flux
  sidecar     plugin-barman-cloud-sidecar:v0.12.0  <- invisible, never moved

Not stale pods: ha-pg-1 was created hours ago during the recorder migration and
still received v0.12.0.

Three changes:

  1. The Secret now uses stringData with the tag in plaintext, carrying an
     $imagepolicy marker. The Secret KIND is kept because the controller reads it
     via secretKeyRef; switching to a ConfigMap would need a matching edit to that
     reference and diverge further from upstream. stringData is accepted
     identically by the API server.

  2. ImageRepository + ImagePolicy added for the sidecar image, with the same
     filter and 0.x range as the controller, so the two cannot drift apart again.
     Only the controller was tracked before.

  3. Tag aligned to v0.14.0 to match the controller.

The Secret name carries a kustomize hash suffix from upstream's secretGenerator
but is static here, so editing the value does not change the name and the
deployment's secretKeyRef stays valid — verified in the render, which still shows
the name twice (Secret + reference).

Verified the tag EXISTS before pinning it: pulling
plugin-barman-cloud-sidecar:v0.14.0 succeeds (the pod fails later on a missing
`true` binary in that minimal image, which is the container command, not the
pull). Pinning a non-existent tag would have put all seven Postgres clusters into
ImagePullBackOff.

EXPECTED IMPACT: bumping the sidecar changes every Postgres pod spec, so all
seven CNPG clusters roll. CNPG handles this as a normal rolling restart. Backups
should be confirmed working afterwards — 113 Backup CRs exist today, newest ~3h
old and completed.

Note for future re-imports: upstream ships this Secret as base64 `data` with no
marker, so a wholesale re-import silently reintroduces the skew. The manifest now
says so inline.

Refs #535

Co-Authored-By: Claude Bot <noreply@anthropic.com>
2026-08-20 12:50:31 +02:00
k.renner eafd99faca Merge pull request 'feat(paperless): repoint data volume to RBD (phase 3)' (#534) from feat-paperless-data-repoint into master
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Reviewed-on: k.renner/homelab#534
2026-08-20 05:45:25 +00:00
claude-botandClaude Bot 3a279d2dcd feat(paperless): repoint data volume to RBD (phase 3)
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Switches the Deployment's `data` volume from paperless-data (RWX,
ceph-filesystem) to paperless-data-block (RWO, ceph-block). `consume` and `media`
stay on CephFS -- the ftp-scanner writes to those from another node, so they
genuinely need RWX.

The copy is already done and verified byte-for-byte with paperless stopped:

  src files: 75
  dst files: 75
  IDENTICAL: name, size and mtime match for every file
  index segments: src 3, dst 3

mtime parity matters specifically because the Whoosh index segments carry their
own consistency expectations; `cp -a` preserved them. (The "can't preserve" lines
in the copy log were for the mount root /dst/. itself, not the files.)

Why: only this Deployment ever mounted the volume, and its contents are
single-writer state. Being on CephFS meant every access crossed the MDS --
measured with zero CI running, 22 requests/sec sustained and ~15 journal
events/sec against 2 directory commits per 180s, i.e. cap/inode churn rather
than file writes. That accounted for most of the constant 7-8 GB/day on
cephfs-metadata, which is a size 3 pool.

cephfs-metadata stays at size 3 deliberately: losing it destroys the entire
filesystem rather than the objects on one OSD, and the 275 GiB in cephfs-data0
depends on it.

paperless-data is retained (prune: disabled) as the rollback. It must NOT be
deleted until search has been confirmed returning results -- that is what proves
the index survived, not merely that paperless starts.

Refs #434

Co-Authored-By: Claude Bot <noreply@anthropic.com>
2026-08-20 07:44:07 +02:00
k.renner efb552f043 Merge pull request 'feat(paperless): provision RBD volume to move data off CephFS (phase 1)' (#533) from feat-paperless-data-block into master
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Reviewed-on: k.renner/homelab#533
2026-08-20 05:38:43 +00:00
k.renner 1e79bc6d2f Merge pull request 'fix(cnpg): checkpoint tuning across all Postgres clusters' (#532) from fix-cnpg-write-tuning into master
ci/woodpecker/cron/alert-monitor Pipeline was successful
Reviewed-on: k.renner/homelab#532
2026-08-20 05:21:25 +00:00
claude-botandClaude Opus 5 68c8c86046 fix(cnpg): checkpoint tuning across all Postgres clusters
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Ten Postgres instances across seven CNPG clusters are ~48 GB/day of the
cluster's ~114 GB/day of client writes, and only ha-pg carried any
write-reduction tuning. The rest ran Postgres defaults, which favour throughput
over storage that wears out.

MEASURED, not assumed. ak-pg since 2026-05-17:

  checkpoints_timed   27,624      = 291/day, i.e. one every 5 min (the default)
  buffers_checkpoint  25,801,628  = ~206 GB flushed
  database size       1,046 MB

That is the whole database rewritten roughly twice a day. The pathology is
specific to idle databases: sessions, tokens and job state re-dirty the same few
pages constantly, and checkpoint_timeout=5min forces each of them to disk 288
times a day instead of letting them coalesce. At 15min they are written a third
as often.

max_wal_size is raised alongside it. Without that, checkpoints trigger on size
instead and the timeout change does nothing. It also bounds crash recovery to at
most 2GB of WAL replay.

Applied to ak-pg, pprl-pg, tr-pg, wp-pg, im-pg, gf-pg. ha-pg already had it.

synchronous_commit is deliberately NOT changed here. It is off for ha-pg because
a state recorder is telemetry; these clusters hold credentials, documents and job
state, where losing the last few hundred ms of commits on an unclean shutdown is
not an acceptable trade for write volume.

Separately, ha-pg shared_buffers 256MB -> 512MB. After 15h on Postgres its
buffers_backend was 629,704 of 939,025 total page writes -- 67% written by
backends rather than the checkpointer or bgwriter, which means the working set
does not fit in the buffer pool and pages are written out repeatedly instead of
coalescing. Memory limit raised 1Gi -> 1536Mi to keep the same headroom (measured
383Mi in use, of which 256MB was shared_buffers).

Verified before commit by rendering every cluster and asserting the tuning landed
under spec.postgresql.parameters with the barman plugin block untouched. That
check exists because the first attempt at this matched the wrong `parameters:`
key -- the barman plugin's, at 6-space indent under plugins: -- and corrupted
wp-pg's barmanObjectName. Reverted and redone with an indent-aware match.

Refs #434

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-20 06:55:42 +02:00
k.renner a2239515e9 Merge pull request 'feat(monitoring): alert on CNPG WAL archiving and backup failure' (#523) from fix-cnpg-backup-alerting into master
ci/woodpecker/cron/issue-fix Pipeline was successful
ci/woodpecker/cron/alert-monitor Pipeline was successful
Reviewed-on: k.renner/homelab#523
2026-08-20 04:39:20 +00:00
claude-botandClaude Opus 5 1260165af1 feat(monitoring): alert on CNPG WAL archiving and backup failure
ci/woodpecker/pr/ci-scripts-test Pipeline was successful
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Seven Postgres clusters back up to Hetzner and nothing alerted if that stopped.
The only related rule was HetznerBackupEndpointDown, which probes the S3
endpoint — it proves the bucket is reachable, not that anything was written to
it. Same failure shape as the WordPress backup that failed nightly for three
days against a bucket declared in tofu but never applied: the status surface
looked fine because nothing checked the thing that mattered.

CNPGWalArchiveBacklog is the load-bearing rule. `ready` counts WAL segments
waiting in pg_wal/archive_status; steady state is 0 on every cluster. A
sustained backlog means the archiver is failing, so point-in-time recovery is
silently broken from that moment and pg_wal grows until it fills the PVC and
takes Postgres down. Threshold >5 sustained for 30m: a segment is 16 MiB, so
that is ~80 MiB of un-archived WAL — well below anything that threatens the
volume, far above idle noise. It reads only the instance-level collector, so it
works despite #522.

CNPGBackupFailed fires on a base backup failure within 24h, guarded on
timestamp > 0 so the epoch-zero default is not read as "failed in 1970".

DELIBERATELY NOT ADDED: the backup-age alert, which is the one you would most
want. `(time() - cnpg_collector_last_available_backup_timestamp) > 48h` cannot
be used today because that metric reads exactly 0 on every instance in the
cluster (verified across gf-pg, ak-pg-1/2, pprl-pg-2/3, im-pg, wp-pg, ha-pg).
CNPG has no record of any successful backup anywhere, because the Backup CRs it
derives that from are deleted within a minute of completing — #522. Adding it
now would fire permanently for all seven clusters and be silenced within a day,
which is worse than not having it.

The backups themselves DO work; verified independently by listing the bucket
with barman-cloud-backup-list and restoring a WAL segment back out of S3. The
gap is in the record, not the data.

Both expressions were validated against live Prometheus before commit rather
than written from the metric names: the WAL selector matches 8 real series (a
zero match would mean a dead rule, the defect fixed in
prometheusrule-woodpecker-rotation.yaml), and neither expression fires
currently, which is correct since archiving is healthy and the only recorded
backup failure is ~91 days old.

Refs #522

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-19 15:43:07 +02:00
40 changed files with 1183 additions and 166 deletions
+10 -3
View File
@@ -13,7 +13,7 @@ when:
steps:
- name: validate-secrets
image: alpine:3.21
image: alpine:3.24.1
environment:
TF_VAR_proxmox_api_url:
from_secret: proxmox_api_url
@@ -129,13 +129,20 @@ steps:
- echo "$VAULT_PASS" > /tmp/.vault_pass && chmod 600 /tmp/.vault_pass
- export ANSIBLE_VAULT_PASSWORD_FILE=/tmp/.vault_pass
- |
# Ensure Talos image exists on all Proxmox nodes via API
# Ensure Talos image exists on all Proxmox nodes via API.
#
# jupiter is NOT in this list: it runs Talos on bare metal and is no
# longer a Proxmox node, so the storage API returns nothing for it and
# the download-wait loop below would burn its full 60x10s before
# giving up. saturn and neptune still host k8s-2/k8s-3 as VMs and
# still need the nocloud image; bare-metal nodes boot the metal-amd64
# image from their own installed disk instead.
TALOS_VERSION="v1.12.6"
TALOS_SCHEMATIC="88e3752db032a08082972bd0adf16a80849e3870c3f95cf5b669936c5699e5ad"
TALOS_URL="https://factory.talos.dev/image/$TALOS_SCHEMATIC/$TALOS_VERSION/nocloud-amd64.raw"
TALOS_FILENAME="talos-$TALOS_VERSION-$(echo "$TALOS_SCHEMATIC" | cut -c1-12)-nocloud-amd64.raw"
API_TOKEN="$TF_VAR_proxmox_user!$TF_VAR_proxmox_token_id=$TF_VAR_proxmox_token_secret"
for node in jupiter saturn neptune; do
for node in saturn neptune; do
EXISTS=$(curl -sk "$TF_VAR_proxmox_api_url/api2/json/nodes/$node/storage/local/content" \
-H "Authorization: PVEAPIToken=$API_TOKEN" 2>/dev/null | grep -c "$TALOS_FILENAME" || true)
if [ "$EXISTS" -gt 0 ]; then
+1 -1
View File
@@ -167,7 +167,7 @@ permanent recovery.
## CNPG restore-test (verify backups are restorable — non-destructive)
The weekly Velero restore-test (`kubernetes/infrastructure/velero/`) exercises
The monthly Velero restore-test (`kubernetes/infrastructure/velero/`) exercises
PVC restores but **explicitly does not touch CNPG** (barman-cloud is a separate
code path). Run this drill periodically to prove the CNPG backups are actually
restorable, **without touching the live clusters**. It restores into a throwaway
+24
View File
@@ -79,6 +79,30 @@ which also pre-seeds the Talos image onto every Proxmox node. Wait until the
node FQDNs (`k8s-{1,2,3}.srv.renner.uno`) resolve and the VMs are up before
Step 2 — `bootstrap.sh` polls DNS but will not create the records.
**k8s-1 is not a VM and OpenTofu does not create it.** jupiter runs Talos on
bare metal, so this step only provisions k8s-2 (saturn) and k8s-3 (neptune).
Before Step 2, boot jupiter from the bare-metal image below so it comes up in
maintenance mode and answers on `k8s-1.srv.renner.uno` — `bootstrap.sh` treats
all three nodes identically from there, since `apply-config --insecure` does
not care whether the target is a VM or bare metal.
```
https://factory.talos.dev/image/a21cec8f35ae32ab5e9a452e7b13500ca8776053930b8e182b9cb23eed186b64/v1.12.6/metal-amd64.iso
```
That schematic is deliberately not the one `.woodpecker/deploy-infrastructure.yml`
seeds onto the Proxmox nodes. It keeps the same `net.ifnames=1` kernel argument
— without it the predictable interface names that `talos/patches/k8s-1.yaml`
matches its VLAN parents against do not exist — and differs in three ways:
- drops `siderolabs/qemu-guest-agent`, which has nothing to talk to on bare metal
- adds `siderolabs/intel-ucode`, since no hypervisor is supplying microcode now
- adds `siderolabs/thunderbolt`, unused so far and inert until
`machine.kernel.modules` requests `thunderbolt`/`thunderbolt_net`. It is
present only so enabling the MS-01 Thunderbolt mesh later does not require a
new image and a reinstall. Note its udev rule auto-authorises any Thunderbolt
device attached to the machine once those modules are loaded.
## Step 2 — talos: form the cluster + get kubeconfig
```sh
+38
View File
@@ -43,6 +43,44 @@ spec:
parameters:
shared_buffers: "256MB"
max_connections: "400"
# Write-reduction tuning. These databases are largely idle, and the
# Postgres defaults favour throughput over storage that wears out.
#
# checkpoint_timeout is the lever. The 5min default pushes every dirty
# page to disk 288 times a day, so a small database whose same few pages
# are re-dirtied constantly (sessions, tokens, job state) gets rewritten
# over and over. Measured on ak-pg: 25.8M checkpoint buffers flushed
# (~206 GB) against a 1046 MB database -- the whole thing roughly twice a
# day. At 15min those pages coalesce and are written a third as often.
#
# max_wal_size must rise with it, or checkpoints trigger on size instead
# and the timeout change does nothing. It also bounds crash recovery to
# at most 2GB of WAL replay.
#
# NOT changed: synchronous_commit stays at the default `on`. It is off for
# ha-pg because a state recorder is telemetry; these hold credentials,
# documents and job state, where losing the last few hundred ms of commits
# on an unclean shutdown is not an acceptable trade.
checkpoint_timeout: "15min"
max_wal_size: "2GB"
# zstd, not "on": the boolean spelling resolves to pglz (2016-era, weaker
# 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
+46
View File
@@ -29,6 +29,52 @@ spec:
parameters:
shared_buffers: "128MB"
max_connections: "50"
# Write-reduction tuning. These databases are largely idle, and the
# Postgres defaults favour throughput over storage that wears out.
#
# checkpoint_timeout is the lever. The 5min default pushes every dirty
# page to disk 288 times a day, so a small database whose same few pages
# are re-dirtied constantly (sessions, tokens, job state) gets rewritten
# over and over. Measured on ak-pg: 25.8M checkpoint buffers flushed
# (~206 GB) against a 1046 MB database -- the whole thing roughly twice a
# day. At 15min those pages coalesce and are written a third as often.
#
# max_wal_size must rise with it, or checkpoints trigger on size instead
# and the timeout change does nothing. It also bounds crash recovery to
# at most 2GB of WAL replay.
#
# NOT changed: synchronous_commit stays at the default `on`. It is off for
# ha-pg because a state recorder is telemetry; these hold credentials,
# documents and job state, where losing the last few hundred ms of commits
# on an unclean shutdown is not an acceptable trade.
checkpoint_timeout: "15min"
max_wal_size: "2GB"
# zstd, not "on": the boolean spelling resolves to pglz (2016-era, weaker
# 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"
# THE dominant write source on this cluster, by three orders of magnitude.
#
# A WAL segment is a fixed 16 MiB file. archive_timeout forces a segment
# switch on a timer so the archive never lags reality by more than that
# interval -- and the switched-out segment is written and archived at its
# full 16 MiB regardless of how few bytes of real WAL it contains.
#
# CNPG defaults this to 5min, i.e. up to 288 segments/day = 4.6 GB/day.
# Measured here: this database is 21 MB and generates 4.5 MB/day of actual
# WAL, while its RBD volume takes 211 MB/hour. Essentially every byte
# written is padding -- roughly 1100x amplification.
#
# 30min cuts that to 48 segments/day. The cost is RPO: on total loss of
# the cluster, up to 30min of Grafana state is unrecoverable rather than
# 5min. Grafana's state here is dashboards, annotations and preferences,
# and the write rate says it changes ~4.5 MB/day -- so that window is
# nearly always empty anyway.
#
# Applied to gf-pg FIRST, alone, as a staged rollout: it is the lowest-risk
# cluster and has the cleanest signal, since its real WAL is small enough
# that any change in volume is unambiguously this parameter.
archive_timeout: "30min"
resources:
requests:
cpu: 100m
@@ -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:2026.8.2 # {"$imagepolicy": "flux-system:home-assistant"}
image: ghcr.io/home-assistant/home-assistant:2026.8.3 # {"$imagepolicy": "flux-system:home-assistant"}
env:
- name: TZ
value: Europe/Berlin
@@ -55,7 +55,21 @@ spec:
owner: homeassistant
postgresql:
parameters:
shared_buffers: "256MB"
# 512MB, not the 256MB this shipped with. Measured after 15h on Postgres:
# buffers_backend was 629,704 of 939,025 total page writes — 67% written
# by backend processes rather than the checkpointer or bgwriter. That
# ratio means the working set does not fit in shared_buffers, so backends
# evict dirty pages themselves and the same pages are written out
# repeatedly instead of coalescing in memory.
#
# The recorder touches a wide set of pages continuously (~30 state
# changes/sec across states, state_attributes and five indexes), which is
# exactly the workload that punishes a small buffer pool.
#
# Memory headroom checked before raising: the instance was using 383Mi of
# a 1Gi limit with 256MB of that being shared_buffers, so the limit goes
# to 1.5Gi to keep the same margin.
shared_buffers: "512MB"
max_connections: "50"
# The rest of this block is tuned to MINIMISE WRITE VOLUME, which is the
# entire reason for the migration. Defaults would give a correct database
@@ -71,12 +85,70 @@ spec:
# Compress full-page images in WAL. Recorder writes are many small row
# inserts scattered across pages, so full-page writes after each
# checkpoint dominate WAL volume; compression cuts that directly.
wal_compression: "on"
#
# 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.
#
# zstd, not "on": the boolean spelling resolves to pglz, the original
# 2016-era algorithm, which is both slower and weaker than the two
# alternatives PostgreSQL 16 accepts here (lz4, zstd). zstd gives the
# 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. 15min with a
# 2GB ceiling keeps recovery time sane while cutting repeat full-page
# images for the hot rows the recorder rewrites constantly.
checkpoint_timeout: "15min"
# 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.
#
# 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
# 200MB of replay, i.e. seconds. max_wal_size stays 2GB precisely so the
# timeout stays the binding trigger -- if size were the binding one, the
# interval change would do nothing.
checkpoint_timeout: "30min"
max_wal_size: "2GB"
min_wal_size: "512MB"
# full_page_writes is deliberately LEFT ON (the default). RBD can tear a
@@ -87,4 +159,4 @@ spec:
cpu: 200m
memory: 512Mi
limits:
memory: 1Gi
memory: 1536Mi
@@ -176,3 +176,38 @@ 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:2.12.1
image: ghcr.io/koenkk/zigbee2mqtt:2.13.0
imagePullPolicy: IfNotPresent
env:
- name: TZ
@@ -0,0 +1,149 @@
# 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.
+37 -1
View File
@@ -42,7 +42,43 @@ spec:
parameters:
shared_buffers: "512MB"
max_wal_size: "2GB"
wal_compression: "on"
# zstd, not "on": the boolean spelling resolves to pglz (2016-era, weaker
# 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.
#
# checkpoint_timeout is the lever. The 5min default pushes every dirty
# page to disk 288 times a day, so a small database whose same few pages
# are re-dirtied constantly (sessions, tokens, job state) gets rewritten
# over and over. Measured on ak-pg: 25.8M checkpoint buffers flushed
# (~206 GB) against a 1046 MB database -- the whole thing roughly twice a
# day. At 15min those pages coalesce and are written a third as often.
#
# max_wal_size must rise with it, or checkpoints trigger on size instead
# and the timeout change does nothing. It also bounds crash recovery to
# at most 2GB of WAL replay.
#
# NOT changed: synchronous_commit stays at the default `on`. It is off for
# ha-pg because a state recorder is telemetry; these hold credentials,
# documents and job state, where losing the last few hundred ms of commits
# on an unclean shutdown is not an acceptable trade.
checkpoint_timeout: "15min"
resources:
requests:
cpu: 500m
@@ -6,6 +6,13 @@ metadata:
labels:
app.kubernetes.io/name: immich-machine-learning
spec:
# Scale this and immich-server to 0 for the duration of any single-node
# maintenance — cluster CPU requests exceed what two nodes can hold, and this
# pair frees ~1000m against a shortfall of roughly 200m. Stopping them is the
# right lever rather than lowering their requests: 500m reserved against a
# 2m idle draw looks like waste, but inference bursts hard and the request is
# honest about what it needs when someone uploads photos.
# See RUNBOOK-baremetal-conversion.md.
replicas: 1
strategy:
type: RollingUpdate
+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:7.4.10-alpine # {"$imagepolicy": "flux-system:redis-immich"}
image: redis:7.4.11-alpine # {"$imagepolicy": "flux-system:redis-immich"}
args:
- redis-server
- --save
+3
View File
@@ -36,6 +36,9 @@ metadata:
labels:
app.kubernetes.io/name: immich-server
spec:
# Scaled to 0 alongside immich-machine-learning during single-node
# maintenance; see the note there. The CNPG Postgres cluster stays running,
# so recovery is just these two replica counts.
replicas: 1
strategy:
type: Recreate
@@ -8,11 +8,16 @@ 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
- prometheusrule-velero.yaml
- prometheusrule-woodpecker-rotation.yaml
# CNPG backup health. Seven Postgres clusters ship to Hetzner and nothing
# alerted if that stopped — HetznerBackupEndpointDown only probes the S3
# endpoint, which proves reachability, not that anything was written.
- prometheusrule-cnpg-backup.yaml
- alloy-servicemonitor.yaml
- cnpg-podmonitors.yaml
- home-assistant-servicemonitor.yaml
@@ -12,18 +12,59 @@ spec:
- name: ceph.rules
rules:
- alert: CephHealthWarn
# 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
# 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 Velero restore-test sweep — a ~5h sustained
# restore that outruns the SLC cache on these QLC NVMe. The sweep
# runs monthly, 08:00-14:00Z on the 1st.
#
# 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
for: 6h
labels:
severity: warning
annotations:
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`."
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 monthly Velero restore-test window (08:00-14:00Z on the 1st), 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`."
- alert: CephHealthError
# HEALTH_ERR means data availability or redundancy is at risk.
@@ -0,0 +1,78 @@
apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
name: cnpg-backup
namespace: monitoring
labels:
# kube-prometheus-stack's Prometheus resource selects on this label;
# without it the rule is created but never loaded into Prometheus.
release: kube-prometheus-stack
spec:
groups:
- name: cnpg-backup.rules
rules:
# WHY THIS FILE EXISTS
# Seven Postgres clusters back up to Hetzner and NOTHING alerted if that
# stopped. The only related rule was HetznerBackupEndpointDown, which
# probes the S3 endpoint — it proves the bucket is reachable, not that
# anything was written to it. Same failure shape as the WordPress backup
# that failed nightly for three days against a bucket that was declared
# in tofu but never applied: the status surface looked fine because
# nothing checked the thing that mattered.
- alert: CNPGWalArchiveBacklog
# `ready` counts WAL segments sitting in pg_wal/archive_status waiting
# to be archived. Steady state is 0 across every cluster (verified
# 2026-08-19). A sustained backlog means the archiver is failing:
# point-in-time recovery is silently broken from that moment, and
# pg_wal keeps growing until it fills the PVC and takes Postgres down.
#
# This is the load-bearing alert of the two. It depends only on the
# instance-level collector, so unlike the backup-age metrics below it
# is unaffected by the missing Backup CRs (#522).
#
# Threshold: >5 segments sustained for 30m. Brief non-zero values are
# normal under write bursts — a segment is 16 MiB, so 5 is roughly
# 80 MiB of un-archived WAL, well below anything that threatens the
# volume but far above idle noise.
expr: cnpg_collector_pg_wal_archive_status{value="ready"} > 5
for: 30m
labels:
severity: warning
annotations:
summary: "CNPG WAL archiving is falling behind on {{ $labels.namespace }}/{{ $labels.pod }}"
description: "{{ $value }} WAL segments have been waiting to archive for over 30 minutes. Point-in-time recovery is broken for anything after the last archived segment, and pg_wal will grow until the PVC fills. Check the barman-cloud sidecar logs and the ObjectStore credentials: `kubectl -n {{ $labels.namespace }} logs {{ $labels.pod }} -c plugin-barman-cloud`."
- alert: CNPGBackupFailed
# cnpg_collector_last_failed_backup_timestamp is a unix timestamp, 0
# when no failure is recorded. Guard on > 0 so the epoch-zero default
# is not read as "failed in 1970".
expr: |
cnpg_collector_last_failed_backup_timestamp > 0
and
(time() - cnpg_collector_last_failed_backup_timestamp) < 86400
for: 5m
labels:
severity: warning
annotations:
summary: "CNPG backup failed in the last 24h on {{ $labels.namespace }}/{{ $labels.pod }}"
description: "A base backup for {{ $labels.namespace }}/{{ $labels.pod }} failed within the last 24 hours. Verify what is actually in the bucket rather than trusting CR status — see the barman-cloud-backup-list recipe in kubernetes/apps/home-assistant/MIGRATION-recorder-postgres.md."
# DELIBERATELY ABSENT: a backup-age alert, which is the one you would
# most want here.
#
# The natural expression is
# (time() - cnpg_collector_last_available_backup_timestamp) > 48*3600
# and it CANNOT be used today: that metric reads exactly 0 on every
# instance in the cluster (verified 2026-08-19 across gf-pg, ak-pg-1/2,
# pprl-pg-2/3, im-pg, wp-pg, ha-pg). CNPG has no record of any
# successful backup anywhere, because the Backup CRs it derives that
# from are being deleted within a minute of completing — see #522.
#
# Backups themselves DO work; that was verified independently by
# listing the bucket with barman-cloud-backup-list and restoring a WAL
# segment back out of S3. The gap is in the record, not the data.
#
# Adding the rule now would fire permanently for all seven clusters and
# be silenced within a day, which is worse than not having it. Add it as
# part of resolving #522, once the metric reflects reality.
@@ -0,0 +1,51 @@
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."
@@ -402,6 +402,52 @@ spec:
limits:
memory: 256Mi
# Drop the apiserver's high-cardinality latency histograms.
#
# Measured 2026-08-20: Prometheus held 298,236 active series, of which
# ~108,000 — over a third — were apiserver/etcd `_bucket` histograms. Each
# histogram fans out to one series per bucket x verb x resource x scope, so
# a single metric like apiserver_request_duration_seconds_bucket was 23,810
# series on its own. For comparison, every Home Assistant metric combined is
# ~4,100.
#
# That cardinality is the dominant driver of Prometheus write volume
# (~11 GB/day of TSDB + WAL, doubled again by Ceph replication), and none of
# it is observable value here: per-bucket apiserver latency quantiles are for
# clusters with SLAs and dozens of nodes, not three.
#
# ONLY metrics with ZERO rule dependencies are dropped. Verified against the
# live rule set before writing this — each metric checked individually for
# references in alert and recording rules:
#
# apiserver_request_duration_seconds_bucket rules=0 23,810 series
# apiserver_request_body_size_bytes_bucket rules=0 23,200
# etcd_request_duration_seconds_bucket rules=0 15,840
# apiserver_watch_list_duration_seconds_bucket rules=0 11,538
# apiserver_watch_cache_read_wait_seconds_bucket rules=0 8,232
# apiserver_response_sizes_bucket rules=0 7,592
# apiserver_watch_events_sizes_bucket rules=0 5,220
#
# apiserver_request_sli_duration_seconds_bucket is DELIBERATELY KEPT: 23
# recording rules depend on it, including the apiserver availability SLO and
# the KubeAPIErrorBudgetBurn burn-rate series. Dropping it would silently
# break that alerting, which is the failure mode this comment exists to
# prevent if someone later "tidies up" this regex.
#
# Only the `_bucket` series are dropped. The matching `_count` and `_sum`
# remain, so request rates and mean latencies still work — what is lost is
# per-bucket quantiles.
#
# etcd_* appears here even though kubeEtcd is disabled below: these are the
# apiserver's own etcd-client metrics, exposed on the apiserver endpoint, not
# a separate etcd scrape.
kubeApiServer:
serviceMonitor:
metricRelabelings:
- action: drop
sourceLabels: [__name__]
regex: (apiserver_request_duration_seconds_bucket|apiserver_request_body_size_bytes_bucket|etcd_request_duration_seconds_bucket|apiserver_watch_list_duration_seconds_bucket|apiserver_watch_cache_read_wait_seconds_bucket|apiserver_response_sizes_bucket|apiserver_watch_events_sizes_bucket)
# Disable etcd/scheduler/controller-manager scraping (Talos doesn't expose them by default)
kubeEtcd:
enabled: false
+36
View File
@@ -34,6 +34,42 @@ spec:
parameters:
shared_buffers: "256MB"
max_connections: "200"
# Write-reduction tuning. These databases are largely idle, and the
# Postgres defaults favour throughput over storage that wears out.
#
# checkpoint_timeout is the lever. The 5min default pushes every dirty
# page to disk 288 times a day, so a small database whose same few pages
# are re-dirtied constantly (sessions, tokens, job state) gets rewritten
# over and over. Measured on ak-pg: 25.8M checkpoint buffers flushed
# (~206 GB) against a 1046 MB database -- the whole thing roughly twice a
# day. At 15min those pages coalesce and are written a third as often.
#
# max_wal_size must rise with it, or checkpoints trigger on size instead
# and the timeout change does nothing. It also bounds crash recovery to
# at most 2GB of WAL replay.
#
# NOT changed: synchronous_commit stays at the default `on`. It is off for
# ha-pg because a state recorder is telemetry; these hold credentials,
# documents and job state, where losing the last few hundred ms of commits
# on an unclean shutdown is not an acceptable trade.
checkpoint_timeout: "15min"
max_wal_size: "2GB"
# zstd, not "on": the boolean spelling resolves to pglz (2016-era, weaker
# 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
+17 -1
View File
@@ -208,9 +208,25 @@ spec:
seccompProfile:
type: RuntimeDefault
volumes:
# paperless-data-block (RWO, ceph-block), NOT paperless-data
# (RWX, ceph-filesystem). Only this Deployment ever mounted the volume,
# and its contents are single-writer state — the Whoosh index,
# classification model, celerybeat schedule, logs. Being on CephFS meant
# every access went through the MDS: 22 requests/sec sustained with zero
# CI running, ~15 journal events/sec against 2 directory commits per
# 180s, i.e. cap/inode churn rather than file writes. That was most of
# the constant 7-8 GB/day on cephfs-metadata, and that pool is size 3.
#
# `consume` and `media` below STAY on CephFS: the ftp-scanner writes to
# those from another node, so they genuinely need RWX.
#
# paperless-data is retained (prune: disabled) as the rollback. Do not
# delete it until search has been confirmed working — that is what
# proves the Whoosh index survived the copy, not merely that paperless
# starts. Migration record: MIGRATION-data-to-block.md.
- name: data
persistentVolumeClaim:
claimName: paperless-data
claimName: paperless-data-block
- name: media
persistentVolumeClaim:
claimName: paperless-media
+1 -1
View File
@@ -25,7 +25,7 @@ spec:
type: RuntimeDefault
containers:
- name: redis
image: redis:8.10.0-alpine # {"$imagepolicy": "flux-system:redis-paperless"}
image: redis:8.10.1-alpine # {"$imagepolicy": "flux-system:redis-paperless"}
args:
- redis-server
- --save
+38 -1
View File
@@ -32,7 +32,44 @@ spec:
parameters:
shared_buffers: "128MB"
max_connections: "50"
wal_compression: "on"
# zstd, not "on": the boolean spelling resolves to pglz (2016-era, weaker
# 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.
#
# checkpoint_timeout is the lever. The 5min default pushes every dirty
# page to disk 288 times a day, so a small database whose same few pages
# are re-dirtied constantly (sessions, tokens, job state) gets rewritten
# over and over. Measured on ak-pg: 25.8M checkpoint buffers flushed
# (~206 GB) against a 1046 MB database -- the whole thing roughly twice a
# day. At 15min those pages coalesce and are written a third as often.
#
# max_wal_size must rise with it, or checkpoints trigger on size instead
# and the timeout change does nothing. It also bounds crash recovery to
# at most 2GB of WAL replay.
#
# NOT changed: synchronous_commit stays at the default `on`. It is off for
# ha-pg because a state recorder is telemetry; these hold credentials,
# documents and job state, where losing the last few hundred ms of commits
# on an unclean shutdown is not an acceptable trade.
checkpoint_timeout: "15min"
max_wal_size: "2GB"
resources:
requests:
cpu: 100m
+33 -6
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:v3.17.0 # {"$imagepolicy": "flux-system:woodpecker-agent"}
image: woodpeckerci/woodpecker-agent:v3.18.0 # {"$imagepolicy": "flux-system:woodpecker-agent"}
env:
- name: WOODPECKER_SERVER
value: woodpecker.woodpecker.svc.cluster.local:9000 # in-cluster gRPC, replaces LXC :9000
@@ -50,12 +50,39 @@ 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. 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).
# 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 MONTHLY against
# CI's ~96 pipelines/day, so it is not worth the complexity.
- name: WOODPECKER_BACKEND_K8S_STORAGE_CLASS
value: ceph-filesystem-ephemeral
value: ceph-filesystem-ci
- name: WOODPECKER_BACKEND_K8S_STORAGE_RWX
value: "true"
# MUST be a JSON object literal — the backend json.Unmarshal's this
+38
View File
@@ -56,6 +56,44 @@ spec:
parameters:
shared_buffers: "128MB"
max_connections: "50"
# Write-reduction tuning. These databases are largely idle, and the
# Postgres defaults favour throughput over storage that wears out.
#
# checkpoint_timeout is the lever. The 5min default pushes every dirty
# page to disk 288 times a day, so a small database whose same few pages
# are re-dirtied constantly (sessions, tokens, job state) gets rewritten
# over and over. Measured on ak-pg: 25.8M checkpoint buffers flushed
# (~206 GB) against a 1046 MB database -- the whole thing roughly twice a
# day. At 15min those pages coalesce and are written a third as often.
#
# max_wal_size must rise with it, or checkpoints trigger on size instead
# and the timeout change does nothing. It also bounds crash recovery to
# at most 2GB of WAL replay.
#
# NOT changed: synchronous_commit stays at the default `on`. It is off for
# ha-pg because a state recorder is telemetry; these hold credentials,
# documents and job state, where losing the last few hundred ms of commits
# on an unclean shutdown is not an acceptable trade.
checkpoint_timeout: "15min"
max_wal_size: "2GB"
# zstd, not "on": the boolean spelling resolves to pglz (2016-era, weaker
# 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:v3.17.0 # {"$imagepolicy": "flux-system:woodpecker-server"}
image: woodpeckerci/woodpecker-server:v3.18.0 # {"$imagepolicy": "flux-system:woodpecker-server"}
env:
- name: WOODPECKER_HOST
value: https://ci.renner.uno
+1 -1
View File
@@ -268,7 +268,7 @@ EOF
# 120x15s = 30 min, not the old 60x5s = 5 min. node-agent has no
# loadConcurrency override, so Velero's default of one data path per node
# applies: while the Sunday restore-test sweep holds the slot, even this 1 GiB
# applies: while the restore-test sweep holds the slot, even this 1 GiB
# DataUpload sits in phase Prepared for well over 5 minutes. The old 300 s wait
# then let the teardown below delete the source namespace and the Backup
# mid-upload ("Cancel du under phase Prepared because it is being deleted"),
@@ -917,11 +917,27 @@ subjects:
name: plugin-barman-cloud
namespace: database
---
# stringData, NOT base64 `data`. An image reference is not a secret, and
# encoding it here had two real costs: no reviewer sees a version change in a
# diff, and no $imagepolicy marker can be attached to a base64 blob. The result
# was that automation advanced the controller to v0.14.0 while this sidecar sat
# at v0.12.0 — a two-minor skew in the component that performs every base backup
# and WAL archive, invisible until someone read the pod spec (#535).
#
# The Secret KIND is kept because the controller reads it via secretKeyRef
# (deployment env SIDECAR_IMAGE); changing it to a ConfigMap would need a matching
# edit to that reference and diverge further from upstream. stringData is
# accepted identically by the API server and serialised into `data` on write.
#
# The name carries a kustomize hash suffix from upstream's secretGenerator. It is
# static here, so editing the value does NOT change the name and the deployment's
# secretKeyRef stays valid.
#
# IF YOU RE-IMPORT THE UPSTREAM MANIFEST: upstream ships this as base64 `data`
# with no marker. Re-apply this block, or the skew silently returns.
apiVersion: v1
data:
SIDECAR_IMAGE: |
Z2hjci5pby9jbG91ZG5hdGl2ZS1wZy9wbHVnaW4tYmFybWFuLWNsb3VkLXNpZGVjYXI6dj
AuMTIuMA==
stringData:
SIDECAR_IMAGE: ghcr.io/cloudnative-pg/plugin-barman-cloud-sidecar:v0.14.0 # {"$imagepolicy": "flux-system:cnpg-barman-plugin-sidecar"}
kind: Secret
metadata:
name: plugin-barman-cloud-kg5c2795f7
@@ -87,6 +87,16 @@ spec:
lapi:
replicas: 1
# The chart defaults request 500m. Measured steady-state draw is 2m, and
# the request is what the scheduler reserves, so the default parks half a
# core of unusable capacity per LAPI. That is affordable on three nodes
# and is not on two: with one node out for maintenance the remaining pair
# sit at 100% of requested CPU while actually using ~22%, and nothing new
# can be placed. The limit stays at the chart default so a log flood can
# still burst; only the reservation shrinks.
resources:
requests:
cpu: 50m
podAnnotations:
# Reloader restarts the LAPI when crowdsec-bouncer-key changes (it's an
# env-var secret, so a restart is required to pick up a rotated key). See
@@ -122,6 +132,12 @@ spec:
key: key
agent:
# Same reasoning as lapi.resources above, multiplied by three: this is a
# DaemonSet, so the chart's 500m default reserves half a core on every
# node to run a process that measures 1-2m.
resources:
requests:
cpu: 50m
# The agent parses the ingress controller's access logs (read from
# the pod's stdout) to detect attacks. Repointed from the retired
# ingress-nginx (decommissioned 2026-05-17) to Traefik. The
@@ -28,3 +28,40 @@ spec:
policy:
semver:
range: "0.x"
---
# The SIDECAR image, tracked separately from the controller above.
#
# These are two DIFFERENT images that must move together:
# plugin-barman-cloud the controller, in the database namespace
# plugin-barman-cloud-sidecar injected into every Postgres pod
#
# Only the controller was tracked, so automation walked it from v0.12.0 to
# v0.14.0 while the sidecar stayed at v0.12.0 — a two-minor skew in the
# component that performs every base backup and WAL archive (#535). The skew was
# invisible because the sidecar tag was base64-encoded inside a Secret, where no
# $imagepolicy marker can reach it and no reviewer would see it in a diff.
apiVersion: image.toolkit.fluxcd.io/v1
kind: ImageRepository
metadata:
name: cnpg-barman-plugin-sidecar
namespace: flux-system
spec:
image: ghcr.io/cloudnative-pg/plugin-barman-cloud-sidecar
interval: 1h
---
# Same filter and range as the controller policy deliberately: the two images
# are released together and must not be allowed to drift apart again.
apiVersion: image.toolkit.fluxcd.io/v1
kind: ImagePolicy
metadata:
name: cnpg-barman-plugin-sidecar
namespace: flux-system
spec:
imageRepositoryRef:
name: cnpg-barman-plugin-sidecar
filterTags:
pattern: '^v(?P<ver>\d+\.\d+\.\d+)$'
extract: '$ver'
policy:
semver:
range: "0.x"
@@ -51,7 +51,15 @@ spec:
startingDeadlineSeconds: 3600
jobTemplate:
spec:
backoffLimit: 1
# 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
activeDeadlineSeconds: 300
ttlSecondsAfterFinished: 259200 # 3 d
template:
@@ -17,6 +17,17 @@ 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
@@ -149,11 +160,40 @@ spec:
- "10.2.40.0/24"
cluster:
- "10.99.0.0/29"
# Nodes are listed explicitly rather than useAllNodes, so that a node can be
# taken out of the storage fleet by removing it here. Under useAllNodes the
# operator re-provisions an OSD on any node whose device still carries a
# BlueStore signature, which makes purging an OSD ahead of pulling its drive
# impossible: the OSD is recreated within a reconcile and starts backfilling
# onto the drive being replaced.
#
# nvme0n1 on k8s-2/k8s-3 is the NVMe drive PCI-passed-through from saturn and
# neptune, and is the only block device those guests can see, so a bare device
# name is unambiguous there.
#
# k8s-1 is bare metal and sees three NVMe drives, so it names its OSD by
# /dev/disk/by-id path instead. A bare name would be actively wrong: Talos
# enumerates this machine's drives in a different order than Proxmox did, and
# nvme0n1 here is the Kingston SYSTEM disk. Rook would probably decline it for
# carrying partitions, but that is luck rather than intent. The by-id path is
# derived from model and serial and does not depend on enumeration at all.
#
# nvme0n1 50026B7382B48B86 Kingston — Talos system disk
# nvme1n1 2332E86B749A Crucial — Talos EPHEMERAL (/var)
# nvme2n1 S437NX0M400426 PM983 — this OSD
storage:
useAllNodes: true
useAllNodes: false
useAllDevices: false
devices:
- name: nvme0n1 # NVMe drive PCI-passed-through from each PVE node
nodes:
- name: k8s-2
devices:
- name: nvme0n1
- name: k8s-3
devices:
- name: nvme0n1
- name: k8s-1
devices:
- fullpath: /dev/disk/by-id/nvme-SAMSUNG_MZQLB960HAJR-00007_S437NX0M400426
config:
osdsPerDevice: "1"
# Storage layer must never be evicted by kubelet under node pressure
@@ -0,0 +1,64 @@
---
# 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
@@ -4,5 +4,6 @@ resources:
- cephcluster.yaml
- toolbox.yaml
- storageclass.yaml
- cephfs-ci.yaml
- volumesnapshotclass.yaml
- objectstore.yaml
@@ -87,15 +87,31 @@ metadata:
name: cephfs
namespace: rook-ceph
spec:
# metadataPool STAYS at size 3 while the data pool drops to 2. It holds
# 467 MiB against the data pool's 275 GiB, so it contributes nothing
# measurable to drive wear — the entire reason for the size reduction — while
# losing it would destroy the whole filesystem, not just the objects on the
# lost OSD. Paying 3x on half a gigabyte to keep that intact is the right
# trade; the wear saving comes from data0.
# TEMPORARY — RESTORE TO size 3 / no min_size OVERRIDE ONCE SATURN AND
# NEPTUNE HAVE BOTH BEEN CONVERTED TO BARE METAL. It stays at 2/1 across all
# three conversions rather than being toggled per node: each change
# re-replicates the pool, and the window reopens with the next node anyway.
#
# The standing trade for this pool is size 3: it holds ~253 MiB against the
# data pool's 280 GiB, so it contributes nothing measurable to drive wear —
# the entire reason data0 dropped to 2 — while losing it would destroy the
# whole filesystem, not just the objects on the lost OSD. Paying 3x on a
# quarter of a gigabyte to keep that intact is the right trade in steady
# state.
#
# It does not hold while one of three hosts is out. size 3 on two remaining
# hosts leaves every PG undersized at two copies with min_size 2, so a single
# further OSD loss drops the pool below min_size and blocks IO on every
# CephFS mount cluster-wide. At 2/1 the same two copies are active+clean
# instead, and a further loss degrades rather than blocks — availability
# bought at the cost of accepting writes onto a single copy while degraded.
#
# See RUNBOOK-baremetal-conversion.md.
metadataPool:
replicated:
size: 3
size: 2
parameters:
min_size: "1"
dataPools:
- name: data0
# size 2 / min_size 1 for the same reasons as replicapool above — see
@@ -1,19 +1,30 @@
---
# Weekly Velero restore-test CronJob.
# Monthly Velero restore-test CronJob — 08:00 UTC on the 1st.
#
# Sunday 08:00 UTC — *after* Sunday's own daily backups have finished
# (paperless 03:15 through apps 07:15, each normally ~1 min). The previous
# 02:00 slot was chosen as "well before Monday's backups", which missed
# that the daily schedules also fire on Sunday: a sweep starting at 02:00
# and running ~5 h sat on top of the entire 03:15-07:15 backup window and
# The sweep restores every discovered schedule, immich's ~180 GiB library
# included. At `size: 2` that is ~360 GiB raw, ~120 GiB per OSD, against a
# ~65 GB/day weekday baseline on three QLC NVMe at 81-87% endurance used —
# ~47% of each drive's weekly write budget. Monthly keeps every restore path
# exercised and cuts that share ~4x.
#
# 08:00 — *after* that day's own daily backups have finished (paperless
# 03:15 through apps 07:15, each normally ~1 min). The previous 02:00 slot
# was chosen as "well before the next day's backups", which missed that the
# daily schedules fire on the same day: a sweep starting at 02:00 and
# running ~5 h sat on top of the entire 03:15-07:15 backup window and
# starved it of node-agent DataUpload concurrency. Observed effect on
# 2026-07-19 and 2026-07-26 — audiobookshelf-daily took 2 h 18 m and
# 2 h 33 m respectively against a ~1 min baseline, with the books
# DataUpload not starting until 06:18. Both are Sundays; no other day
# shows it.
# DataUpload not starting until 06:18. Both are Sundays, the only day the
# sweep ran then; no other day shows it.
#
# 08:00 + the 6 h activeDeadlineSeconds cap still lands well clear of
# Monday's 03:15.
# 08:00 + the 6 h activeDeadlineSeconds cap still lands well clear of the
# next day's 03:15.
#
# Day-of-month rather than a fixed weekday: Kubernetes parses cron with
# robfig/cron's standard parser, which has no `#` nth-weekday operator, and
# restricting both day fields (`0 8 1-7 * 0`) ORs them — every Sunday plus
# the 1st through 7th.
#
# Concurrency policy Forbid: the immich restore (~180 GiB, millions of
# small files) alone can run multiple hours, so the full sweep is sized
@@ -29,7 +40,7 @@ metadata:
name: restore-test
namespace: velero
spec:
schedule: "0 8 * * 0"
schedule: "0 8 1 * *"
timeZone: Etc/UTC
concurrencyPolicy: Forbid
successfulJobsHistoryLimit: 2
@@ -39,7 +50,7 @@ spec:
spec:
backoffLimit: 0
activeDeadlineSeconds: 21600 # 6 h hard cap (immich alone can take ~3 h)
ttlSecondsAfterFinished: 1209600 # 14 d — enough to inspect after the next weekly run
ttlSecondsAfterFinished: 3456000 # 40 d — enough to inspect after the next monthly run
template:
spec:
serviceAccountName: restore-test
@@ -1,5 +1,5 @@
---
# RBAC for the weekly restore-test CronJob.
# RBAC for the monthly restore-test CronJob.
#
# Permissions required by restore-test.sh:
# - velero.io: read schedules/backups/BSL, create+delete restores
@@ -1,5 +1,5 @@
#!/usr/bin/env bash
# Weekly verification that Velero PVC backups are actually restorable.
# Monthly verification that Velero PVC backups are actually restorable.
#
# What this exercises (per service):
# 1. Velero Restore reaches phase=Completed against yesterday's
@@ -53,7 +53,7 @@ check() {
# and ceph-filesystem StorageClasses ship with reclaimPolicy: Retain so that
# production PVC deletions can be undone manually. The restore-test has the
# opposite need: every PVC it creates is throwaway and MUST not survive the
# iteration. Without this, each weekly run leaks O(100 GiB) of CephFS
# iteration. Without this, each run leaks O(100 GiB) of CephFS
# subvolumes and the cluster eventually goes OSD_FULL (incident 2026-05-17).
#
# Why this still exists after ceph-*-ephemeral landed. Three categories of
+117 -50
View File
@@ -1,62 +1,129 @@
# k8s-1 runs Talos directly on jupiter's MS-01 hardware; k8s-2 and k8s-3 are
# still Proxmox VMs. Every machine-specific selector below differs from theirs
# for that reason: there are no virtio NICs, no PCI-passthrough layer, and all
# four physical NICs and all three NVMe drives are visible to Talos at once.
#
# Networking uses the v1.12 multi-document config rather than the deprecated
# machine.network.interfaces. That is deliberate: the docs do not define what
# happens when the same link is configured by both schemas, so this file keeps
# every link in one schema instead of straddling them.
machine:
network:
hostname: k8s-1
# Shared control-plane VIP — etcd-elected leader hosts 10.2.40.60 as a
# secondary IP. Exposed via UniFi DNS as k8s.renner.uno.
#
# Two virtio NICs (mgmt + v30iot). `driver: virtio_net` would match
# both, so each is pinned by its PCI bus path:
# - 0000:06:12.0 — original mgmt NIC (the only virtio before)
# - 0000:06:13.0 — extra_network_bridges = ["v30iot"] in tofu
# Bus paths are consistent across k8s-{1,2,3}; verified live 2026-05-13.
# The X710 selector stays driver-based (i40e is unambiguous) and
# tolerates kernel renaming.
interfaces:
- deviceSelector:
busPath: "0000:06:12.0"
dhcp: true
vip:
ip: 10.2.40.60
# v30iot: LINK ONLY — no host addressing. The NIC is the macvlan
# parent for the v30iot pod attachments (matter/otbr/shelly-manager),
# whose children do their own DHCP on the L2; host addresses were
# never needed for that. Host DHCP (formerly dhcp + routeMetric 4096)
# installed a connected 10.2.30.0/24 route, so node replies to
# IoT-subnet clients bypassed the UDM and broke every UDM-DNATed
# flow (hairpin NAT: un-translated SYN-ACK -> client kernel RST,
# verified live 2026-07-23). The purpose the old comment claimed —
# Cilium L2 announce for an IoT LB pool — does not exist (no
# L2AnnouncementPolicy, no such pool). v6 RA addressing on this NIC
# is disabled via machine.sysctls for the same reason.
- deviceSelector:
busPath: "0000:06:13.0"
dhcp: false
# Dedicated Ceph cluster network on the X710 SFP+ port (PCI passthrough,
# mapping x710-port1 in opentofu/vm_150_k8s_1.tf). Separate /29 on VLAN 49,
# MTU 9000, no default route — used by Rook for OSD↔OSD replication via
# CephCluster.spec.network.addressRanges.cluster.
- deviceSelector:
driver: i40e
addresses:
- 10.99.0.1/29
mtu: 9000
sysctls:
# v30iot NIC carries no host addressing (see interfaces above); this
# disables v6 entirely (incl. link-local) so the host is unreachable on that L2.
#
# Keyed on the STABLE predictable name `ens19` (busPath 0000:06:13.0 =
# v30iot). Predictable naming is re-enabled via the Image Factory
# schematic (net.ifnames=1; see .woodpecker/deploy-infrastructure.yml),
# so `ens19` is topology-derived and does NOT shuffle across reboots —
# unlike the former `eth0/1/2` (driver-probe order) which renamed on a
# k8s-3 reboot and silently mis-targeted this sysctl onto mgmt. The four
# v30iot macvlan NADs key on the same `ens19`.
# ens19 (VLAN 30, v30iot) is LINK ONLY — no host addressing. It exists as
# the macvlan parent for the v30iot pod attachments
# (matter/otbr/shelly-manager/music-assistant), whose children do their own
# DHCP on that L2. Host addresses were never needed and are actively
# harmful: a connected 10.2.30.0/24 route makes node replies to IoT-subnet
# clients bypass the UDM, which breaks every UDM-DNATed flow (hairpin NAT:
# un-translated SYN-ACK -> client kernel RST, verified live 2026-07-23).
# This disables v6 entirely on that link, including link-local.
net.ipv6.conf.ens19.disable_ipv6: "1"
install:
disk: /dev/vda
# Three NVMe drives are ordinary block devices to Talos here: the Kingston
# OM8PGP41024Q-A0 system disk, the Samsung PM983 that Rook claims as the
# Ceph OSD, and the retired Crucial P3 that carries EPHEMERAL (see the
# VolumeConfig below). Every one of them is selected by serial. Nothing in
# this file may use a broad selector: `disk.transport == 'nvme'` matches all
# three, and the failure mode is Talos taking the OSD drive.
diskSelector:
serial: 50026B7382B48B86
certSANs:
- k8s-1.srv.renner.uno
nodeLabels:
topology.kubernetes.io/zone: jupiter
cluster:
allowSchedulingOnControlPlanes: true
---
# EPHEMERAL (/var) goes on the retired Crucial P3, not the system disk.
#
# That drive is at 87% of its rated endurance and was this node's Ceph OSD until
# the PM983 replaced it. /var is exactly the right role for a disk in that
# state: containerd's image and snapshot store, pod logs and the Ceph mon store
# are all reconstructible, so the drive is consumable here in a way it is not as
# an OSD. It also gives /var ~931 GB instead of the 64 GB the VM-era zvol had,
# which is the constraint that makes k8s-2 and k8s-3 trip DiskPressure whenever
# they absorb another node's pods.
#
# THIS ONLY TAKES EFFECT ON FIRST PROVISION. Talos applies volume configuration
# solely when the volume does not yet exist; a config applied after EPHEMERAL
# has been created elsewhere is silently ignored, and relocating it then
# requires wiping the disk and booting install media again.
#
# Matched by serial deliberately. `disk.transport == 'nvme' && !system_disk`
# would match the PM983 as well, and losing that coin flip means Talos formats
# the OSD drive.
apiVersion: v1alpha1
kind: VolumeConfig
name: EPHEMERAL
provisioning:
diskSelector:
match: disk.serial == '2332E86B749A'
minSize: 50GiB
grow: true
---
# X710 port 0 carries the switch trunk. It takes no addressing itself — the
# port's untagged VLAN is the 192.168.8.0/24 network, which this node has no
# business being on — so management and v30iot both ride it as tagged VLANs.
#
# Links are addressed by predictable kernel name. Those derive from PCI
# topology, not probe order — though not immune: adding the third NVMe
# renumbered the buses and moved the unused second I226 from enp89s0 to
# enp90s0. Neither name used here was affected.
#
# LinkAliasConfig would be the better way to pin these, and is worth
# reintroducing — but only once it is proven. Aliasing both X710 ports by
# permanent MAC and using the aliases as VLAN parents produced a node with no
# address on any interface: the aliases were never created, so every document
# referencing them did nothing, including the static address on port 1. Verify
# any alias-based revision with `talosctl apply-config --mode=try`, which rolls
# back on its own, before making it permanent.
apiVersion: v1alpha1
kind: LinkConfig
name: enp2s0f0np0
up: true
---
# Management, VLAN 40. Carries the node IP, etcd, the API and Ceph's public
# network. The k8s-1 VM reached 10.2.40.174 over this same physical port via
# Proxmox's v40srv VNet (vmbr0.40), so the switch trunks VLAN 40 here.
apiVersion: v1alpha1
kind: VLANConfig
name: mgmt0
vlanID: 40
parent: enp2s0f0np0
up: true
---
apiVersion: v1alpha1
kind: DHCPv4Config
name: mgmt0
---
# Shared control-plane VIP, etcd-elected. Exposed via UniFi DNS as
# k8s.renner.uno.
apiVersion: v1alpha1
kind: Layer2VIPConfig
name: 10.2.40.60
link: mgmt0
---
# Named ens19 on purpose. The four v30iot macvlan NADs hard-code
# `master: ens19`, and k8s-2/k8s-3 still present the VLAN as a virtio NIC of
# that name. VLANConfig.name is free-form, so keeping it lets one set of NADs
# serve both VM and bare-metal nodes for as long as the cluster is mixed.
apiVersion: v1alpha1
kind: VLANConfig
name: ens19
vlanID: 30
parent: enp2s0f0np0
up: true
---
# Dedicated Ceph cluster network on X710 port 1, VLAN 49 / 10.99.0.0/29,
# untagged on the wire. Used by Rook for OSD<->OSD replication via
# CephCluster.spec.network.addressRanges.cluster. Not routed off its own
# segment, and deliberately has no default route.
apiVersion: v1alpha1
kind: LinkConfig
name: enp2s0f1np1
up: true
mtu: 9000
addresses:
- address: 10.99.0.1/29
-51
View File
@@ -1,51 +0,0 @@
module "k8s_1" {
source = "./modules/proxmox_vm"
name = "k8s-1.srv.renner.uno"
target_node = "jupiter"
vmid = 150
memory = 49152
cores = 8
template_name = null
cloud_init = false
full_clone = false
bios = "ovmf"
machine = "q35"
boot = "order=virtio0"
agent_enabled = true
# Second NIC on v30iot so Cilium L2 announce can win ARP on the IoT
# VLAN from this node (previously only k8s-edge had v30iot, so any
# IoT-pool LB lease landing here was unreachable from devices).
extra_network_bridges = ["v30iot"]
disks = [
{
storage = "local-zfs"
size = "64G"
format = "raw"
slot = "virtio0"
file_id = local.talos_image
}
]
hostpci = [
{
mapping = "osd-ssd"
},
{
mapping = "x710-port1"
}
]
tags = "kubernetes;talos;controlplane"
ssh_public_keys = local.common_ssh_keys
vm_state = "running"
# Rebuild pipeline issues `-replace`; skip graceful shutdown so a
# non-responsive Talos guest can't hang the destroy for 30 minutes.
stop_on_destroy = true
}