Compare commits

..
Author SHA1 Message Date
claude-botandClaude Opus 5 196ebda188 feat(home-assistant): add ha-pg for the recorder (phase 1, empty cluster)
ci/woodpecker/pr/ci-scripts-test Pipeline was successful
ci/woodpecker/pr/ci-manifests-test Pipeline was successful
ci/woodpecker/pr/pr-review Pipeline was successful
The recorder's SQLite database is the largest client writer in the cluster.
Measured 2026-08-19 via cgroup io.stat on the home-assistant container,
corroborated by kernel diskstats and Ceph pool counters: 40 GB/day to its RBD
volume, ~26% of all client writes, against only ~5 GB/day of actual row data.

The 8x gap is the write PATTERN, not the volume:

  ~30 state changes/sec (107k rows/hour, 2.57M/day)
    x2  SQLite WAL + checkpoint -- every dirtied page written twice
    x4  ext4 journal + commit, since synchronous=FULL fsyncs every commit
        (measured: 819 KB of 4 KiB writes -> 3.28 MB at the block device)
    = ~15 KB written per recorded state change

Postgres replaces scattered fsync'd page rewrites with sequential batched WAL.
This attacks the multiplier rather than trimming what gets recorded, which would
hide the problem instead of fixing it.

PHASE 1 ONLY. The cluster comes up EMPTY and nothing consumes it -- HA stays on
SQLite. Deploying it is inert, so there is nothing to roll back if it misbehaves.
Phase 2 migrates the statistics tables and repoints recorder.db_url in the
homeassistant repo; MIGRATION-recorder-postgres.md has the sequence.

What phase 2 must not get wrong, recorded now while it is fresh: HA does NOT
migrate data between database engines. `statistics` holds 10,793,712 rows
spanning 2024-03-13 to today -- 2.4 years of energy history that is not in
InfluxDB and cannot be reconstructed. Repointing db_url at an empty database
silently discards it. `states` (18M rows) is disposable at purge_keep_days: 7.

Postgres is tuned to minimise write volume, which is the point of the move:

  synchronous_commit off  -- the recorder is telemetry, not transactional
                             record-keeping. Postgres stays crash consistent;
                             only the last few hundred ms of commits are at risk
                             on unclean shutdown. In exchange, commits stop
                             forcing an fsync -- the exact cost that makes SQLite
                             expensive here.
  wal_compression on      -- recorder writes are small inserts scattered across
                             pages, so post-checkpoint full-page writes dominate
                             WAL volume.
  checkpoint_timeout 15min / max_wal_size 2GB
                          -- fewer checkpoints means fewer repeat full-page
                             images for the hot rows the recorder rewrites.
  full_page_writes        -- deliberately LEFT ON. RBD can tear a page across a
                             4 MiB object boundary; trading that for write volume
                             risks an unrecoverable database.

Also included:
  - ObjectStore on its own s3 prefix (two clusters sharing a destinationPath
    interleave WAL streams and corrupt both).
  - ScheduledBackup at 02:50 UTC, offset from the other CNPG clusters.
  - PodMonitor added WITH the cluster rather than after it, so the migration has
    metrics from the start instead of discovering the gap later (#433).
  - Cilium policies as DEDICATED policies with their own endpointSelector, not
    rules on the namespace-wide default-deny -- that policy is endpointSelector:{}
    so any rule there applies to every pod in the namespace, and :8000 is served
    by more than the CNPG instance manager. Includes the ICMP allowance that
    attaching L4 rules to the ha-pg endpoints makes necessary for PMTUD.

The hetzner-creds ExternalSecret reuses seed/paperless/hetzner-creds, the same
coupling #397 tracks for woodpecker. Noted in the file with the exact bao command
to fix it; the mount is `homelab`, so #397's recorded 403 on `bao kv list seed`
was a wrong-path error rather than missing permissions.

Refs #434, #397

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-19 15:22:21 +02:00
k.renner 1d76dba474 Merge pull request 'fix(ceph): stop mon compacting on every paxos trim (240 GB/day of writes)' (#520) from fix-ceph-mon-write-amplification into master
ci/woodpecker/cron/alert-monitor Pipeline was successful
Reviewed-on: k.renner/homelab#520
2026-08-19 12:58:24 +00:00
claude-botandClaude Opus 5 63f25c1511 fix(ceph): stop mon compacting on every paxos trim (240 GB/day of writes)
ci/woodpecker/pr/ci-scripts-test Pipeline was successful
ci/woodpecker/pr/ci-manifests-test Pipeline was successful
ci/woodpecker/pr/pr-review Pipeline was successful
The three Ceph monitors were writing 240 GB/day between them for a ~106 MB
database. That was ~62% of all OS-disk writes on the nodes and roughly a
quarter of everything the cluster writes -- more than every client workload
combined.

Measured 2026-08-19:

  paxos transactions      ~99,000/day  (1.15/s, sampled over 60 s)
  paxos logical data       811 MB/day  (21.9 GB over 27 d mon uptime)
  ACTUAL mon disk writes    80 GB/day  per mon, 240 GB/day for three
                                       (cgroup io.stat: 2.15 TB / 27 d)
  => ~98x write amplification

Cause: mon_compact_on_trim, upstream default true, "compact a certain prefix
(including paxos) when we trim its old states". With paxos_trim_min at 250 and
~99k transactions/day, that is hundreds of forced range compactions per day,
each rewriting the store.

The churn driving it is not cluster activity. 99% of paxos versions are cluster
log and mgr stats -- logm 6.7M, mgrstat 4.4M, against osdmap's 9.6k. Every Rook
operator poll (mgr stat / versions / status / report / osd dump; 23 audit
entries per minute per mon) becomes a cluster-log entry, hence a paxos
transaction, replicated to all three mons. Reducing that polling is the
complementary fix and is tracked separately; this change removes the
amplification regardless of the rate.

This does NOT disable compaction. RocksDB's own levelled compaction still runs
and still reclaims trimmed keys; what stops is the extra forced compact_range
on every trim. Two backstops if that assumption is wrong:

  - mon_data_size_warn (15 GB default) raises HEALTH_WARN, which CephHealthWarn
    in monitoring-rules already alerts on.
  - mon_compact_on_start is set to true here (upstream default false), so every
    mon restart -- upgrade, node reboot, reschedule -- does a full compaction.
    Cheap on a ~106 MB store.

Baseline for verification, mon.a cgroup io.stat at 2026-08-19T12:56:29Z:
wbytes=2154257645056, wios=22509683, uptime since 2026-07-23T13:20:44Z.

Note on methodology: cAdvisor's container_fs_writes_bytes_total roughly
double-counts here -- it reported 425 GB/day for OSDs where nvme0n1 shows 212,
and 155 GB/day for mons where cgroup io.stat shows 80. It was used only to rank
writers; every figure above comes from cgroup io.stat or kernel diskstats, which
reconcile with each other and with the drives' SMART counters.

Refs #434

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-19 14:56:47 +02:00
k.renner 3be75f535e Merge pull request 'fix(ceph): replicapool and cephfs data to size 2, min_size 1' (#519) from fix-ceph-replica-size-2 into master
ci/woodpecker/cron/issue-fix Pipeline was successful
ci/woodpecker/cron/alert-monitor Pipeline was successful
Reviewed-on: k.renner/homelab#519
2026-08-19 12:40:01 +00:00
claude-botandClaude Opus 5 db460079f8 fix(ceph): replicapool and cephfs data to size 2, min_size 1
ci/woodpecker/pr/ci-scripts-test Pipeline was successful
ci/woodpecker/pr/ci-manifests-test Pipeline was successful
ci/woodpecker/pr/pr-review Pipeline was successful
With 3 OSDs on 3 hosts, size=3 meant every write landed on every drive in the
cluster. Per-drive write volume equalled TOTAL cluster write volume, so all
three drives wore at an identical rate and would have reached end-of-rated-life
together: measured 2026-08-19 from the drives' own SMART counters, 80/82/87%
endurance used, advancing ~0.13 points/day, exhausted between Nov 2026 and
Jan 2027 (#434). Replication gives no protection there — the wear-out is
correlated by construction, not independent.

size 2 cuts per-drive write volume by a third and desynchronises the wear.

min_size 1 is required, not incidental. Ceph does NOT lower min_size when size
is reduced; it was 2, and leaving it would make replicapool 2/2, where a single
OSD down blocks IO for its PGs. That would hang every RBD volume in the cluster
on every rolling node reboot and every OSD restart.

Accepted trade, stated explicitly: while degraded (one OSD down), a second
drive failure loses data, and at 80%+ endurance that window is not
hypothetical. What limits the blast radius is that CNPG barman and Velero both
ship offsite to Hetzner, so exposure is the RPO of those backups rather than
total loss. Node reboots must stay serialised with HEALTH_OK between them.

CephFS metadataPool deliberately stays at size 3: 467 MiB against data0's
275 GiB, so it contributes nothing measurable to wear, while losing it destroys
the entire filesystem rather than the objects on one OSD. The wear saving comes
from data0. The RGW pools in objectstore.yaml were already size 2.

One-time cost on apply: Ceph deletes the third replica of everything, which is
background IO, and raw used drops from ~1.4 TiB to ~0.95 TiB.

Refs #434

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-19 14:35:58 +02:00
k.renner ef40c68b1f Merge pull request 'fix(ceph): stop deferring small writes on SSD (halves write amplification)' (#518) from fix-ceph-deferred-write-amplification into master
Reviewed-on: k.renner/homelab#518
2026-08-19 12:30:21 +00:00
claude-botandClaude Opus 5 6c31b552d1 fix(ceph): stop deferring small writes on SSD (halves write amplification)
ci/woodpecker/pr/ci-scripts-test Pipeline was successful
ci/woodpecker/pr/ci-manifests-test Pipeline was successful
ci/woodpecker/pr/pr-review Pipeline was successful
bluestore_prefer_deferred_size_ssd was set to 65536 and
bluestore_deferred_batch_ops_ssd to 64 as a QLC throughput tune. Ceph's SSD
defaults are 0 and 16. Reverted to the defaults, set explicitly so the stored
`ceph config` value is overwritten rather than merely un-declared.

prefer_deferred_size defers every write SMALLER than the threshold: it lands in
RocksDB's WAL first and is applied to the object store afterwards. That is a
double write, and at 64 KiB it caught essentially every write this cluster
makes -- SQLite pages are 4 KiB, Postgres pages 8 KiB. Ceph disables deferral on
SSD by default because solid state does not need the random-write batching that
helps spinning media.

Why the original tune was the wrong trade:

  - The benchmark justifying it cannot have exercised it. The 2026-05-05
    baseline used 4 MiB writes, 64x above the 64 KiB cutoff, so none of those
    writes were ever deferred. The setting was validated by a workload it does
    not affect.

  - It doubles writes onto QLC, the lowest-endurance NAND type. Measured
    2026-08-19 from the drives' own SMART counters: all three OSD devices at
    80/82/87% endurance used, advancing ~0.13 points/day, i.e. rated life
    exhausted between Nov 2026 and Jan 2027. Because size=3 on 3 OSDs, every
    drive absorbs 100% of cluster writes, so they wear in lockstep and expire
    together (see #434).

Measured amplification before this change: 640 GB/day written to the three NVMe
devices against 117 GB/day at the RBD client layer -- 5.5x, of which 3x is
replication and ~1.8x BlueStore. Removing the double write should take the
BlueStore factor toward ~1.1x.

The cluster is write-light, so throughput was never the binding constraint;
endurance is. Both parameters are runtime-updatable, so no OSD restart.

Also corrects the drive model in the comment: the OSD devices are
CT1000P3PSSD8 (Crucial P3 Plus), not the P2 named previously.

bdev_enable_discard / bdev_async_discard are unrelated and kept as-is.

Refs #434

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-19 14:27:01 +02:00
k.renner d437775319 Merge pull request 'fix(alert-monitor): stop over-suppressing alerts in the noise log (#326)' (#517) from fix-326-noise-log-suppression into master
ci/woodpecker/cron/issue-fix Pipeline was successful
ci/woodpecker/cron/e2e Pipeline failed
ci/woodpecker/cron/security-scan Pipeline was successful
ci/woodpecker/cron/alert-monitor Pipeline was successful
Reviewed-on: k.renner/homelab#517
2026-08-19 10:54:27 +00:00
claude-botandClaude Opus 5 8a8145011a fix(alert-monitor): stop over-suppressing alerts in the noise log
ci/woodpecker/pr/ci-scripts-test Pipeline was successful
ci/woodpecker/pr/ci-manifests-test Pipeline was successful
ci/woodpecker/pr/pr-review Pipeline was successful
Two defects in the noise-log dedup, both of which silently mute real alerts.

1. Prose-mentioned fingerprints became suppressions.

The extractor grepped the WHOLE issue body for 16-hex tokens. Triage reasons
routinely cite another alert's fingerprint in prose ("see the issue filed for
fingerprint <fp>"), so those citations were read as suppression entries.

Verified against the live noise log: the old extractor yields 22 fingerprints
for 21 real entries. The extra one is 2ddc41edb689fc33 -- the crowdsec alert
that HAD been filed as a genuine issue, permanently muted purely because two
other entries mention it. Now only lines in the exact shape the write-back step
emits count:

  - <fp> <ALERTNAME> — <YYYY-MM-DD>: <reason>

Re-verified with the new parser: 21, and 2ddc41edb689fc33 is no longer among
them.

2. Suppression never expired.

The fingerprint is sha256(alertname|scope) and is deliberately stable across
recurrences, so a single blip verdict muted that alertname+scope pair forever.
21 pairs were permanently muted, including openbao's KubePodNotReady,
KubeStatefulSetReplicasMismatch and KubePdbNotEnoughHealthyPods -- so a real
openbao outage would have filed no issue at all.

A noise verdict means "this occurrence was benign", not "this alert can never be
interesting again". Entries now expire after NOISE_TTL_DAYS (default 30) counted
from the date already present in each line. Re-triaging a recurrence weeks later
is cheap; missing an outage because a July blip muted it is not. If it is still
noise, triage re-adds it automatically.

Rollout is gentle by construction: every current entry is dated 2026-07-21 or
later, so at a 30d TTL the cutoff is 2026-07-20 and NOTHING un-mutes on merge --
the oldest entries lapse a day later, and only re-triage if they actually fire
again.

Unparseable lines are dropped, i.e. they stop suppressing: this fails toward
more alerting, never less.

Verified end-to-end by running the shipped snippet inside the real
ci-claude:2.1.218 image against the live noise log: cutoff 2026-07-20,
21 suppressions, prose-only fingerprint absent. Note that image ships BusyBox
date, not GNU -- `date -d '30 days ago'` errors there, so the cutoff uses epoch
arithmetic with `date -d @<epoch>`, which was confirmed working in that image.

Refs #326

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-19 10:11:45 +02:00
k.renner 2df54d302b Merge pull request 'fix(zigbee2mqtt): restore HA discovery after a mosquitto restart (#381)' (#516) from fix-381-z2m-discovery into master
ci/woodpecker/cron/issue-fix Pipeline was successful
ci/woodpecker/cron/alert-monitor Pipeline was successful
Reviewed-on: k.renner/homelab#516
2026-08-19 08:05:30 +00:00
11 changed files with 552 additions and 11 deletions
+32 -2
View File
@@ -135,8 +135,38 @@ steps:
TITLES=$$(jq -c '[.[].title]' .ci-alert-monitor/open-issues.json)
NOISE_BODY=$$(jq -r 'map(select(.title == "Alert monitor: noise log")) | .[0].body // ""' \
.ci-alert-monitor/open-issues.json)
FPS=$$(printf '%s' "$$NOISE_BODY" | grep -oE '\b[0-9a-f]{16}\b' \
# Suppression entries are exactly the structured lines the write-back
# step emits: "- <fp> <ALERTNAME> — <YYYY-MM-DD>: <reason>". Parse THAT
# shape rather than grepping the whole body for 16-hex tokens. A reason
# routinely cites another alert's fingerprint in prose ("see the issue
# filed for fingerprint <fp>"), and the body-wide grep turned every such
# citation into a silent, permanent suppression of an alert that was
# never classified as noise — verified against the live noise log, which
# yielded 22 fingerprints for 21 real entries, the extra one being
# 2ddc41edb689fc33, an alert that HAD been filed as a genuine issue.
#
# Entries also expire after NOISE_TTL_DAYS. A noise verdict says "this
# occurrence was benign", not "this alert can never be interesting
# again" — but the fingerprint is sha256(alertname|scope) and therefore
# stable across recurrences, so without an expiry a single blip mutes
# that alertname+scope pair forever. Re-triaging a recurrence weeks
# later is cheap; missing a real outage because a July blip muted
# openbao's KubePodNotReady is not.
#
# Lines that fail to parse are simply dropped, i.e. they stop
# suppressing — this fails toward MORE alerting, never less.
#
# date is BusyBox here, not GNU: `date -d '30 days ago'` errors out, so
# the cutoff goes through epoch arithmetic and `date -d @<epoch>`, which
# this image does support.
NOISE_TTL_DAYS=$${NOISE_TTL_DAYS:-30}
CUTOFF=$$(date -u -d @$$(( $$(date -u +%s) - NOISE_TTL_DAYS * 86400 )) +%F)
FPS=$$(printf '%s\n' "$$NOISE_BODY" \
| sed -nE 's/^- ([0-9a-f]{16}) [^ ]+ — ([0-9]{4}-[0-9]{2}-[0-9]{2}):.*/\2 \1/p' \
| awk -v c="$$CUTOFF" 'BEGIN{gsub(/-/,"",c)} { d=$$1; gsub(/-/,"",d); if (d+0 >= c+0) print $$2 }' \
| jq -R -s -c 'split("\n") | map(select(length > 0))')
echo "Noise suppressions in effect: $$(printf '%s' "$${FPS:-[]}" | jq length)" \
"(TTL $${NOISE_TTL_DAYS}d, entries dated >= $$CUTOFF)"
# Synthesize pseudo-alerts for BLIPS: lookback series whose label set
# is not currently firing at all (checked against the PRE-filter raw
# snapshot, so live-but-null-routed alerts don't reappear as blips).
@@ -260,7 +290,7 @@ steps:
'{body: ($$old + "\n" + $$add)}' > /tmp/gitea-patch.json
gitea_write PATCH "$$API/issues/$$NOISE_NUM" /tmp/gitea-patch.json
else
printf '%s\n\n' "Fingerprints the alert-monitor triage agent classified as noise. The dedup step skips any alert whose fingerprint appears below — delete a line to make that alert eligible for triage again. Keep this issue open; it is the suppression state." > /tmp/noise-header.txt
printf '%s\n\n' "Fingerprints the alert-monitor triage agent classified as noise. The dedup step skips any alert whose fingerprint appears below — delete a line to make that alert eligible for triage again. Keep this issue open; it is the suppression state. Entries EXPIRE after NOISE_TTL_DAYS (default 30) counted from the date in the line, so a one-off blip stops suppressing its alertname+scope pair once the window passes; re-add happens automatically if it is triaged as noise again. Only lines in the exact '- <fingerprint> <ALERTNAME> — <YYYY-MM-DD>: <reason>' form suppress anything — a fingerprint mentioned in prose does not." > /tmp/noise-header.txt
jq -n --rawfile hdr /tmp/noise-header.txt --rawfile add /tmp/noise-lines.txt \
'{title: "Alert monitor: noise log", body: ($$hdr + $$add)}' > /tmp/gitea-create.json
gitea_write POST "$$API/issues" /tmp/gitea-create.json
@@ -0,0 +1,123 @@
# Home Assistant recorder: SQLite → Postgres
## Why
The recorder's SQLite database is the single largest client writer in the
cluster. Measured 2026-08-19 (cgroup `io.stat` on the home-assistant container,
corroborated by kernel diskstats and Ceph pool counters):
| | |
|---|---|
| HA writes to its RBD volume | **40 GB/day** |
| share of all client writes | **~26%** |
| actual row data underneath | **~5 GB/day** |
The 8× gap is the write *pattern*, not the volume:
```
~30 state changes/sec (107k rows/hour, 2.57M/day)
×2 SQLite WAL + checkpoint — every dirtied page written twice
×4 ext4 journal + commit, because synchronous=FULL fsyncs every commit
(measured: 819 KB of 4 KiB writes → 3.28 MB at the block device)
= ~15 KB written per recorded state change
```
Postgres replaces scattered fsync'd page rewrites with sequential batched WAL.
This attacks the multiplier rather than trimming what gets recorded — excluding
entities would hide the problem, not fix it.
**Context:** this is one of three write-reduction changes. The other two are
merged and verified — `size 3→2` on the Ceph pools (#519) and
`mon_compact_on_trim=false` (#520, which alone removed ~228 GB/day). See #434.
## What is at risk
`states` is disposable — `purge_keep_days: 7`, so it regenerates in a week.
**`statistics` is not.** As of 2026-08-19:
| table | rows | note |
|---|---|---|
| `statistics` | 10,793,712 | **spans 2024-03-13 → today, 2.4 years** |
| `statistics_short_term` | 1,902,624 | 5-minute buckets |
| `statistics_meta` | 1,448 | entity ↔ id mapping, required by both |
| `states` | 18,289,190 | disposable, 7-day retention |
| `events` | 483,989 | disposable |
**Home Assistant does not migrate data between database engines.** Repointing
`db_url` at an empty Postgres silently starts from zero and the energy dashboard
loses its entire history. The long-term statistics are irreplaceable — they are
not in InfluxDB, which HA does not read for the energy dashboard.
## Phase 1 — deploy the cluster (this PR)
`ha-pg` comes up **empty** and nothing consumes it. HA stays on SQLite, so a
failure here is inert and there is nothing to roll back.
Verify before going further:
```sh
kubectl -n home-assistant get cluster ha-pg # Cluster in healthy state, 1/1
kubectl -n home-assistant get backup # ha-pg-daily Completed (immediate: true)
kubectl -n home-assistant logs ha-pg-1 -c postgres | grep -i archive # WAL archiving, no errors
```
Confirm the backup actually landed in the bucket rather than trusting the CR
status — the WordPress backup failed nightly for three days against a bucket
that was declared but never created (see `opentofu/object_storage.tf`).
## Phase 2 — migrate the data (NOT in this PR)
Do not start until phase 1 is verified.
**Migrate statistics only.** Copying all 18M `states` rows is slow, needs a long
HA outage, and buys a table that is discarded within 7 days anyway.
1. **Snapshot first.** Velero backup of the HA PVC, plus a `.backup` copy of
`home-assistant_v2.db`. This is the rollback.
2. **Stop the recorder** — scale `deploy/home-assistant` to 0. The database must
be quiescent; copying a live SQLite file gives a torn read.
3. **Create the schema.** Start HA once against the empty Postgres so it runs
its own migrations. Never hand-create the tables — the schema version must
match the HA version exactly or HA will refuse to start or silently migrate.
4. **Copy** `statistics_meta` → `statistics` → `statistics_short_term`, in that
order (the other two carry `metadata_id` foreign keys into the first).
Sequences must be reset afterwards, or the first insert collides on a
duplicate primary key:
```sql
SELECT setval('statistics_id_seq', (SELECT MAX(id) FROM statistics));
SELECT setval('statistics_meta_id_seq', (SELECT MAX(id) FROM statistics_meta));
SELECT setval('statistics_short_term_id_seq', (SELECT MAX(id) FROM statistics_short_term));
```
5. **Repoint** `recorder.db_url` in the `homeassistant` repo — that change lives
there, not here:
```yaml
recorder:
db_url: !secret recorder_db_url # postgresql://homeassistant:<pw>@ha-pg-rw.home-assistant.svc.cluster.local/homeassistant
```
The password is in the CNPG-generated `ha-pg-app` Secret. It must not be
committed — render it into `secrets.yaml` the same way the Z2M MQTT password
is handled in `zigbee2mqtt-deployment.yaml`.
6. **Verify** the energy dashboard renders history back to 2024, not just today.
That is the check that proves the statistics migration worked; "HA starts and
records" does not.
### Rollback
Revert `db_url` to the SQLite path and restore the `.backup` copy. Keep the
SQLite file until the energy dashboard has been confirmed over a full day —
deleting it early removes the only rollback that preserves the 2.4 years.
## After the migration
- The HA config PVC shrinks from 5.5 GB to a few hundred MB. Do not shrink the
PVC itself: `ceph-block` allows expansion, not reduction.
- Re-measure. `kubectl -n home-assistant exec deploy/home-assistant -c
home-assistant -- cat /sys/fs/cgroup/io.stat` was 40 GB/day before. If it does
not drop substantially, the migration did not achieve its purpose and that
should be recorded rather than assumed.
- `synchronous_commit: off` in `ha-pg-cluster.yaml` is the single biggest
contributor to the reduction. It is safe for telemetry (Postgres stays crash
consistent; at most a few hundred ms of commits are lost on unclean shutdown)
but it is a deliberate trade and should not be "corrected" later without
understanding why it is set.
@@ -0,0 +1,90 @@
---
# Postgres backend for the Home Assistant recorder.
#
# WHY THIS EXISTS
# The recorder's SQLite database is the single largest client writer in the
# cluster. Measured 2026-08-19 (cgroup io.stat on the home-assistant container,
# corroborated by kernel diskstats): 40 GB/day to its RBD volume, ~26% of all
# client writes, against only ~5 GB/day of actual row data. The gap is the write
# PATTERN, not the volume:
#
# ~30 state changes/sec (107k rows/hour, 2.57M/day)
# x2 SQLite WAL + checkpoint — every dirtied page is written twice
# x4 ext4 journal + commit, because synchronous=FULL fsyncs every commit
# (measured: 819 KB of 4 KiB writes -> 3.28 MB at the block device)
# = ~15 KB written per recorded state change
#
# Postgres replaces scattered fsync'd page rewrites with sequential, batched WAL.
# That is the point of the move — it attacks the multiplier rather than trimming
# what gets recorded, which would only hide the problem.
#
# STAGING
# Phase 1 (this manifest): the cluster comes up EMPTY and HA keeps using SQLite.
# Nothing depends on it, so a failure here is inert. Verify Ready, WAL archiving
# to Hetzner, and a successful base backup before going further.
# Phase 2: migrate the statistics tables and repoint recorder.db_url.
# See MIGRATION-recorder-postgres.md for the sequence and the rollback.
apiVersion: postgresql.cnpg.io/v1
kind: Cluster
metadata:
name: ha-pg
namespace: home-assistant
spec:
instances: 1
imageName: ghcr.io/cloudnative-pg/postgresql:16
storage:
storageClass: ceph-block
# Sized for the migrated statistics plus 7 days of states at the current
# rate: statistics 10.8M rows + statistics_short_term 1.9M (~1.8 GB with
# indexes in Postgres) and ~18M states rows for the purge_keep_days:7 window
# (~4 GB). 20Gi leaves room for autovacuum bloat and index churn.
# ceph-block has allowVolumeExpansion: true, so this can grow in place.
size: 20Gi
plugins:
- name: barman-cloud.cloudnative-pg.io
isWALArchiver: true
parameters:
barmanObjectName: ha-pg-store
bootstrap:
initdb:
# Explicit, not left to CNPG's `app` default: the generated ha-pg-app
# Secret and the -app Service point at whatever is named here, and the
# recorder db_url in phase 2 must match. Same trap that made the wp-pg
# namespace migration point credentials at an empty database (#433).
database: homeassistant
owner: homeassistant
postgresql:
parameters:
shared_buffers: "256MB"
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
# that writes far more than it needs to on replicated Ceph storage.
#
# synchronous_commit off: the recorder is telemetry, not transactional
# record-keeping. This does NOT risk corruption — Postgres stays crash
# consistent; it only means the last few hundred ms of commits can be lost
# on an unclean shutdown, which for state history is a non-event. In
# exchange every commit stops forcing an fsync, which is precisely the
# cost that makes SQLite expensive here.
synchronous_commit: "off"
# 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"
# 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"
max_wal_size: "2GB"
min_wal_size: "512MB"
# full_page_writes is deliberately LEFT ON (the default). RBD can tear a
# page across a 4 MiB object boundary, and turning this off would trade
# write volume for the risk of an unrecoverable database. Not worth it.
resources:
requests:
cpu: 200m
memory: 512Mi
limits:
memory: 1Gi
@@ -0,0 +1,38 @@
---
# Barman S3 credentials for ha-pg.
#
# FOLLOW-UP (#397): sourced from seed/paperless/hetzner-creds, which is not where
# they belong. woodpecker/hetzner-creds-externalsecret.yaml has the identical
# problem and the same note. The values are the same today, so this is correct
# but coupled: rotating paperless's Hetzner credentials would silently change
# the backup credentials for Home Assistant and Woodpecker too.
#
# The fix is one dedicated path per consumer (seed/home-assistant/hetzner-creds)
# and a one-line change to the `key:` below. Creating it needs an OpenBao write:
#
# bao kv put homelab/seed/home-assistant/hetzner-creds \
# @<(bao kv get -format=json homelab/seed/paperless/hetzner-creds | jq '.data.data')
#
# Note the mount is `homelab`, so the path is homelab/seed/... — #397 records a
# 403 on `bao kv list seed`, which was a wrong-path error rather than a
# permissions problem.
#
# The namespace allowlist on the openbao ClusterSecretStore
# (infrastructure/post-crds/openbao-clustersecretstore.yaml) must include this
# namespace or ESO silently never syncs (#505). home-assistant is already
# allowlisted — it has several ExternalSecrets in this directory already.
apiVersion: external-secrets.io/v1
kind: ExternalSecret
metadata:
name: hetzner-s3-creds
namespace: home-assistant
spec:
refreshInterval: 1h
secretStoreRef:
kind: ClusterSecretStore
name: openbao
target:
name: hetzner-s3-creds
dataFrom:
- extract:
key: seed/paperless/hetzner-creds
@@ -0,0 +1,35 @@
---
# Barman object store for ha-pg: base backups + continuous WAL archiving to
# Hetzner Object Storage, same target bucket as the other CNPG clusters.
#
# Its own prefix. Two clusters archiving WAL to one destinationPath interleave
# their streams and corrupt both — see the note in
# kubernetes/apps/woodpecker/objectstore.yaml, which learned that the hard way.
apiVersion: barmancloud.cnpg.io/v1
kind: ObjectStore
metadata:
name: ha-pg-store
namespace: home-assistant
spec:
configuration:
destinationPath: s3://renner-uno-k8s-cnpg/ha-pg
endpointURL: https://fsn1.your-objectstorage.com
s3Credentials:
accessKeyId:
name: hetzner-s3-creds
key: ACCESS_KEY_ID
secretAccessKey:
name: hetzner-s3-creds
key: ACCESS_SECRET_KEY
region:
name: hetzner-s3-creds
key: REGION
wal:
compression: gzip
data:
compression: gzip
# Matches the 30d retention the other CNPG clusters use and the
# renner-uno-k8s-cnpg bucket's noncurrent-version expiry in
# opentofu/object_storage.tf, so old S3 versions don't outlive the backups
# that superseded them.
retentionPolicy: "30d"
@@ -0,0 +1,23 @@
---
# Daily base backups for ha-pg. Continuous WAL archiving runs separately
# (ha-pg-cluster.yaml spec.plugins[].isWALArchiver); without periodic base
# backups the prefix would have no recovery point of its own, and
# ha-pg-store's retentionPolicy: 30d would have nothing to prune against, so the
# WAL chain would grow without bound.
#
# 02:50 UTC, offset from the other CNPG clusters (02:30, wp-pg at 02:40) so they
# do not all hit the Hetzner bucket at once.
apiVersion: postgresql.cnpg.io/v1
kind: ScheduledBackup
metadata:
name: ha-pg-daily
namespace: home-assistant
spec:
schedule: "0 50 2 * * *"
immediate: true
backupOwnerReference: self
cluster:
name: ha-pg
method: plugin
pluginConfiguration:
name: barman-cloud.cloudnative-pg.io
@@ -52,6 +52,14 @@ resources:
# CNP ingress rule.
- zigbee2mqtt-gate-service.yaml
- zigbee2mqtt-ingress.yaml
# Postgres backend for the recorder (MIGRATION-recorder-postgres.md).
# PHASE 1: this cluster comes up EMPTY and nothing consumes it — HA is still
# on SQLite. Deploying it is therefore inert; phase 2 migrates the statistics
# tables and repoints recorder.db_url in the homeassistant repo.
- ha-pg-hetzner-creds-externalsecret.yaml
- ha-pg-objectstore.yaml
- ha-pg-cluster.yaml
- ha-pg-scheduled-backup.yaml
configMapGenerator:
# nginx config for the reverse-proxy sidecar. Hash suffix disabled so
# the cm name stays stable; editing proxy.conf does not auto-roll the
@@ -99,3 +99,26 @@ spec:
interval: 30s
podTargetLabels:
- role
---
# ha-pg — Postgres backend for the Home Assistant recorder
# (kubernetes/apps/home-assistant/ha-pg-cluster.yaml). Added with the cluster
# rather than after it, so the migration has metrics from the first moment
# instead of discovering the gap later, which is how wp-pg's scrape hole was
# found (#433).
apiVersion: monitoring.coreos.com/v1
kind: PodMonitor
metadata:
name: cnpg-ha-pg
namespace: home-assistant
labels:
app.kubernetes.io/name: cloudnative-pg
release: kube-prometheus-stack
spec:
selector:
matchLabels:
cnpg.io/cluster: ha-pg
podMetricsEndpoints:
- port: metrics
interval: 30s
podTargetLabels:
- role
@@ -358,3 +358,67 @@ spec:
- ports:
- port: "8123"
protocol: TCP
---
# ha-pg (CNPG) — instance-manager access for the CloudNativePG operator.
#
# DEDICATED policy with its own endpointSelector, NOT another rule on the
# namespace-wide default-deny above. That policy has endpointSelector:{}, so any
# rule added there applies to EVERY pod in the namespace — and :8000 is served
# both by the CNPG instance manager and by other workloads, so a namespace-wide
# :8000 grant would expose far more than intended. Same reasoning as
# wp-pg-allow-cnpg-operator in woodpecker-ns.yaml, which was corrected during
# review for exactly this (#433).
apiVersion: cilium.io/v2
kind: CiliumNetworkPolicy
metadata:
name: ha-pg-allow-cnpg-operator
namespace: home-assistant
spec:
endpointSelector:
matchLabels:
cnpg.io/cluster: ha-pg
ingress:
- fromEndpoints:
- matchLabels:
"k8s:io.kubernetes.pod.namespace": database
app.kubernetes.io/name: cloudnative-pg
toPorts:
- ports:
- port: "8000"
protocol: TCP
# ICMP to the ha-pg pods. REQUIRED because the L4 rules in this policy
# select those endpoints, and Cilium drops ICMP to an endpoint selected by
# any layer 4 policy unless the traffic is CT-related. Without this, PMTUD
# Destination Unreachable / Packet Too Big toward ha-pg are dropped
# silently, and the symptom is stalled transfers rather than a policy
# denial — the failure mode documented in woodpecker-ns.yaml.
- fromEntities:
- cluster
icmps:
- fields:
- { type: 3, family: IPv4 } # Destination Unreachable — PMTUD
- { type: 1, family: IPv6 } # Destination Unreachable
- { type: 2, family: IPv6 } # Packet Too Big — PMTUD, mandatory
---
# ha-pg — Postgres access for the Home Assistant recorder.
#
# Scoped to the HA pod on both ends: only home-assistant reaches ha-pg, and only
# on 5432. Nothing else in this namespace has any business in the recorder
# database.
apiVersion: cilium.io/v2
kind: CiliumNetworkPolicy
metadata:
name: ha-pg-allow-home-assistant
namespace: home-assistant
spec:
endpointSelector:
matchLabels:
cnpg.io/cluster: ha-pg
ingress:
- fromEndpoints:
- matchLabels:
app.kubernetes.io/name: home-assistant
toPorts:
- ports:
- port: "5432"
protocol: TCP
@@ -45,18 +45,92 @@ spec:
# would be circular, and Rook only applies mon.volumeClaimTemplate to
# newly created mons, never migrating existing ones.
mon_data_avail_warn: "20"
# Stop compacting the whole RocksDB prefix on every paxos trim.
#
# Upstream default is true — "Compact a certain prefix (including paxos)
# when we trim its old states" — which is fine at low paxos rates and
# pathological here. Measured 2026-08-19:
#
# paxos transactions ~99,000/day (1.15/s, sampled over 60 s)
# paxos logical data 811 MB/day (21.9 GB over 27 d uptime)
# ACTUAL mon disk writes 80 GB/day per mon, 240 GB/day for three
# (cgroup io.stat: 2.15 TB/27 d)
# => ~98x write amplification, for a ~106 MB database
#
# That was ~62% of all OS-disk writes on these nodes and roughly a
# quarter of everything the cluster writes — more than every client
# workload combined. With paxos_trim_min at 250, ~99k transactions/day
# means hundreds of forced range compactions per day, each rewriting the
# store.
#
# The churn itself is 99% cluster log and mgr stats, not real cluster
# activity: logm holds 6.7M paxos versions and mgrstat 4.4M, against
# osdmap's 9.6k. Every Rook-operator poll (mgr stat / versions / status /
# report / osd dump — 23 audit entries per minute per mon) becomes a
# cluster-log entry, hence a paxos transaction, replicated to all three
# mons. Reducing that polling is the complementary fix and is tracked
# separately; this setting removes the amplification regardless of rate.
#
# This does NOT disable compaction. RocksDB's own levelled compaction
# still runs and still reclaims trimmed keys; what stops is the extra
# forced compact_range on every trim. Store growth is therefore bounded
# by normal compaction, and there are two backstops if that assumption is
# wrong: mon_data_size_warn (15 GB default) raises HEALTH_WARN, which
# CephHealthWarn in monitoring-rules already alerts on, and
# mon_compact_on_start below compacts fully on every mon restart.
#
# Watch after applying: `du -sh /var/lib/rook/mon-*/store.db` on a node,
# or the mon store size in `ceph status`. If it grows past ~1 GB and does
# not come back down, revisit rather than leaving it.
mon_compact_on_trim: "false"
# Compensating control for the above: a full compaction on mon start.
# Upstream default is false. Mons restart on upgrades, node reboots and
# reschedules, so this gives a periodic full reclaim without paying for
# one on every trim. Cheap here — the store is ~106 MB.
mon_compact_on_start: "true"
mgr:
mgr/volumes/max_concurrent_clones: "16"
# QLC tune for the Crucial P2 NVMe per host. Baseline 2026-05-05:
# 71.6 MB/s avg / 0.89 s avg latency on a 5-min replicated 4 MiB
# write bench (post-SLC-cache). bdev_*_discard need an OSD restart
# to take effect (init-time); the bluestore_* params are runtime.
# See ceph-speed-baseline-2026-05-05 in the wiki.
# Discard/TRIM for the QLC NVMe per host (CT1000P3PSSD8, Crucial P3 Plus —
# earlier comments here said "P2", which is a different drive). These need
# an OSD restart to take effect (init-time). Baseline 2026-05-05:
# 71.6 MB/s avg / 0.89 s avg latency on a 5-min replicated 4 MiB write
# bench (post-SLC-cache). See ceph-speed-baseline-2026-05-05 in the wiki.
#
# bluestore_prefer_deferred_size_ssd / bluestore_deferred_batch_ops_ssd are
# DELIBERATELY LEFT AT THE CEPH DEFAULTS (0 and 16) and must not be raised
# again without re-reading this.
#
# They were previously set to the HDD-style 65536 / 64 as a throughput tune.
# prefer_deferred_size defers every write SMALLER than the threshold: the
# write goes first into RocksDB's WAL and is applied to the object store
# afterwards. That is a double write, and at 65536 it caught essentially
# every write this cluster makes — SQLite pages are 4 KiB, Postgres pages
# 8 KiB. Ceph disables deferral on SSD (default 0) precisely because solid
# state does not need the random-write batching that helps spinning rust.
#
# Two reasons it was the wrong trade here:
# - The benchmark that justified it cannot have exercised it. It used
# 4 MiB writes, 64x ABOVE the 64 KiB cutoff, so not one of those writes
# was ever deferred. The setting was validated by a workload it does
# not affect.
# - It doubles writes onto QLC, which has the lowest endurance of any
# NAND type. Measured 2026-08-19: all three OSD drives at 80/82/87%
# endurance used, advancing ~0.13 points/day, i.e. rated life exhausted
# between Nov 2026 and Jan 2027 — and simultaneously, since size=3 on
# 3 OSDs means every drive absorbs 100% of cluster writes (see #434).
#
# This cluster is write-light (~117 GB/day at the RBD client layer), so
# throughput was never the binding constraint. Endurance is. If small-write
# latency ever becomes the real problem, fix it with more OSDs rather than
# by paying a 2x write tax on every 4 KiB page.
osd:
bdev_enable_discard: "true"
bdev_async_discard: "true"
bluestore_prefer_deferred_size_ssd: "65536"
bluestore_deferred_batch_ops_ssd: "64"
# Ceph defaults, set explicitly so the previous override is actively
# overwritten rather than merely removed — `ceph config` retains a value
# that is only deleted from this file.
bluestore_prefer_deferred_size_ssd: "0"
bluestore_deferred_batch_ops_ssd: "16"
dashboard:
enabled: true
ssl: false
@@ -5,8 +5,31 @@ metadata:
namespace: rook-ceph
spec:
failureDomain: host
# size 2, NOT 3. With 3 OSDs on 3 hosts, size=3 meant every write landed on
# every drive in the cluster: per-drive write volume equalled total cluster
# write volume, and all three drives wore at an identical rate and would have
# reached end-of-rated-life together (measured 2026-08-19: 80/82/87% endurance
# used, ~0.13 points/day, all three exhausted between Nov 2026 and Jan 2027 —
# see #434). Replication does not protect against that failure mode, because
# wear-out here is correlated by construction rather than independent.
#
# size 2 cuts per-drive write volume by a third and desynchronises the wear.
#
# min_size 1 is REQUIRED and deliberate. Ceph does not lower min_size when
# size is reduced — it was 2 here, and leaving it would make the pool 2/2,
# where any single OSD down (every rolling node reboot, every OSD restart)
# blocks IO for its PGs and hangs every RBD volume in the cluster.
#
# The trade this accepts: while the pool is degraded (one OSD down), a second
# drive failing loses data, and with all three drives at 80%+ endurance that
# window is not hypothetical. Mitigations that already exist: CNPG barman and
# Velero both ship offsite to Hetzner (opentofu/object_storage.tf), so the
# exposure is the RPO of those backups, not total loss. Keep node reboots
# serialised and wait for HEALTH_OK between them.
replicated:
size: 3
size: 2
parameters:
min_size: "1"
---
apiVersion: storage.k8s.io/v1
kind: StorageClass
@@ -64,13 +87,23 @@ 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.
metadataPool:
replicated:
size: 3
dataPools:
- name: data0
# size 2 / min_size 1 for the same reasons as replicapool above — see
# the comment there for the full rationale and the accepted trade.
replicated:
size: 3
size: 2
parameters:
min_size: "1"
metadataServer:
activeCount: 1
activeStandby: true