feat(monitoring): alert on CrowdSec, starting with the failure that hides

Three rules, and the first one is firing right now for a real reason.

CrowdsecNotReadingLogs. Both agents are frozen at their line counts —
29,917 and 35,449 — with zero increase over an hour, while Traefik keeps
logging and Loki keeps ingesting. cs_bucket_poured_total has not moved in two
hours either: nothing is flowing into any scenario. CrowdSec has not detected
anything since 2026-08-27.

Nothing else shows it. Pods are Running, the LAPI answers, the bouncers pull
and enforce. The line counters are cumulative, so `cscli metrics` reports a
large number and reads as healthy; only the rate distinguishes "has read" from
"is reading". I made exactly that mistake earlier in the day: I checked the
cumulative figure, concluded the pipeline was working, and dismissed a wiki
note about the tailer not reattaching after a log rotation as stale. It was
not stale. And the absence of alerts since 08-27, which I read as a quiet
period, was the symptom.

CrowdsecEdgeBouncerNotPulling counts rather than names. The LAPI registers a
new bouncer per observed client address, and what it observes is the
netbird-ingress pod IP, so `edge@10.244.0.113` and its successors come and go
as those pods roll — a name-based rule would decay. `or vector(0)` is there
because without it the total-failure case is the one the alert misses: all
bouncers silent means the inner filter is empty, count() returns no series,
and nothing fires.

CrowdsecTargetDown is the ordinary one.

Both expressions were run against live data before being written down: the
bouncer count returns 2, and the acquisition rate returns 0 — which is how the
outage was found in the first place.

This does not fix the stalled tailer. Restarting the agents picks up the
current file, but the reattach behaviour is the actual bug and belongs in its
own change.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

kubernetes/apps/monitoring-rules/kustomization.yaml

@@ -24,6 +24,7 @@ resources:
   - alloy-servicemonitor.yaml
   - cnpg-podmonitors.yaml
   - crowdsec-servicemonitor.yaml
+  - prometheusrule-crowdsec.yaml
   - home-assistant-servicemonitor.yaml
   - immich-servicemonitor.yaml
   - loki-servicemonitor.yaml

kubernetes/apps/monitoring-rules/prometheusrule-crowdsec.yaml

@@ -0,0 +1,81 @@
+apiVersion: monitoring.coreos.com/v1
+kind: PrometheusRule
+metadata:
+  name: crowdsec
+  namespace: monitoring
+  labels:
+    # kube-prometheus-stack's Prometheus selects on this label.
+    release: kube-prometheus-stack
+spec:
+  groups:
+    - name: crowdsec.rules
+      rules:
+        - alert: CrowdsecNotReadingLogs
+          # The failure that hides. Everything stays green — pods Running,
+          # LAPI answering, bouncers pulling, decisions being enforced — while
+          # the agents read nothing and therefore detect nothing. The counters
+          # are cumulative, so `cscli metrics` keeps showing a large number and
+          # looks healthy; only the rate tells the truth.
+          #
+          # This alert was written after finding exactly that state: both
+          # agents frozen at their line counts for hours while Traefik kept
+          # logging, and zero events poured into any scenario. It had been that
+          # way since 2026-08-27, and the only outward sign was an absence of
+          # alerts, which reads like quiet rather than blindness.
+          #
+          # Known cause per the wiki: the tailer does not reattach after the
+          # container log rotates.
+          expr: |
+            sum(rate(cs_filesource_hits_total[30m])) == 0
+          for: 30m
+          labels:
+            severity: critical
+          annotations:
+            summary: "CrowdSec liest seit 30min keine Logzeilen"
+            description: >-
+              Die Agents lesen nichts mehr, obwohl Traefik weiter loggt — es
+              wird also nichts erkannt. Prüfen: `cscli metrics` im Agent-Pod,
+              und ob die getailte Datei unter /var/log/containers noch dem
+              laufenden Traefik-Pod entspricht. Ein Neustart der Agents nimmt
+              die aktuelle Datei wieder auf.
+
+        - alert: CrowdsecEdgeBouncerNotPulling
+          # Both proxies must be fetching decisions. A bouncer that stops
+          # pulling keeps enforcing whatever it last held, and a bouncer whose
+          # process died enforces nothing at all — a clean shutdown deletes its
+          # nftables tables. Neither shows up anywhere else.
+          #
+          # Counted rather than named on purpose. The LAPI registers a new
+          # bouncer entry per observed client address, and what it observes is
+          # the netbird-ingress pod IP, so names like `edge@10.244.0.113` come
+          # and go as those pods roll. The count is stable; the names are not.
+          #
+          # `or vector(0)` matters: without it, all bouncers going silent makes
+          # the inner filter empty, count() returns no series, and the alert
+          # never fires — the total-failure case would be the one it misses.
+          expr: |
+            (count(sum by (bouncer) (rate(cs_lapi_bouncer_requests_total[15m])) > 0) or vector(0)) < 2
+          for: 15m
+          labels:
+            severity: critical
+          annotations:
+            summary: "Weniger als zwei CrowdSec-Bouncer holen Decisions ab"
+            description: >-
+              Erwartet werden proxy-1 und proxy-2. Holt einer nichts mehr ab,
+              setzt er einen veralteten Stand durch; ist sein Dienst beendet,
+              setzt er gar nichts mehr durch, weil ein sauberer Stop die
+              nftables-Tabellen löscht. Prüfen: `systemctl status
+              crowdsec-firewall-bouncer` auf beiden Hosts.
+
+        - alert: CrowdsecTargetDown
+          expr: |
+            up{namespace="crowdsec"} == 0
+          for: 10m
+          labels:
+            severity: warning
+          annotations:
+            summary: "CrowdSec-Scrape-Target {{ $labels.pod }} antwortet nicht"
+            description: >-
+              Ein LAPI- oder Agent-Pod ist nicht erreichbar. Für sich noch kein
+              Ausfall der Durchsetzung — die Bouncer behalten ihren letzten
+              Stand —, aber solange das anhält, kommen keine neuen Decisions an.

kubernetes/apps/paperless-eval/cluster.yaml

@@ -1,116 +0,0 @@
----
-# A read-only view of paperless's backup store, used as a recovery source and
-# nothing else.
-#
-# It points at the production prefix, which is the whole point — the eval
-# instance is a copy of the real archive's metadata — and that makes what is
-# ABSENT here the safety-critical part:
-#
-#   no retentionPolicy   The production store has "30d". Without one here
-#                        there is no policy to enforce, and enforcement is not
-#                        tied to taking a backup: the plugin runs it from the
-#                        instance sidecar on a timer
-#                        (instanceSidecarConfiguration.retentionPolicyIntervalSeconds,
-#                        default 1800). So "this cluster never backs up" would
-#                        not have been enough on its own.
-#
-# A second property makes it belt-and-braces. Retention runs
-# barman-cloud-backup-delete, which takes a server name and works inside
-# <destinationPath>/<serverName> — the store's own status keys its recovery
-# window by "pprl-pg", confirming that layout. This cluster is pprleval-pg, so
-# even an accidental retention policy would address a prefix that holds nothing
-# rather than production's backups.
-#
-# The cluster below completes the guarantee with isWALArchiver: false, so
-# nothing is written back either. It does load the plugin — that is required
-# for the restore to work at all — and read-only comes from the flag rather
-# than from leaving the plugin out.
-apiVersion: barmancloud.cnpg.io/v1
-kind: ObjectStore
-metadata:
-  name: pprleval-pg-source
-  namespace: paperless-eval
-spec:
-  configuration:
-    destinationPath: s3://renner-uno-k8s-cnpg/pprl-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
----
-# A disposable clone of the paperless database, for measuring how well the
-# local LLM classifies documents without running the experiment against the
-# live archive.
-#
-# Losing this cluster costs a re-restore and nothing else, which is the intent
-# — it is rebuilt whenever a test needs a clean starting point.
-#
-# One instance, not two. Replication buys availability, and an eval instance
-# that is down is simply an eval that waits.
-apiVersion: postgresql.cnpg.io/v1
-kind: Cluster
-metadata:
-  name: pprleval-pg
-  namespace: paperless-eval
-spec:
-  instances: 1
-  imageName: ghcr.io/cloudnative-pg/postgresql:16
-  enableSuperuserAccess: true
-  storage:
-    # Delete-reclaim, unlike the Retain default: this volume is a copy that
-    # gets rebuilt, so it should vanish with the cluster rather than leave a
-    # Released PV and an orphaned RBD image behind (issue #262).
-    storageClass: ceph-block-ephemeral
-    size: 10Gi
-  # Declared with isWALArchiver: false, which is what kubernetes/RECOVERY.md
-  # arrived at after an earlier version of that runbook said to omit it: the
-  # instance manager loads this plugin to replay WAL during the restore, and
-  # without it the instance never starts ("Unknown plugin:
-  # barman-cloud.cloudnative-pg.io").
-  #
-  # externalClusters below only says WHERE the backup is; it does not get the
-  # plugin injected into the pod. So "no plugin" is not the way to keep this
-  # read-only — "plugin, not archiving" is, and it is the combination verified
-  # on im-pg on 2026-07-25.
-  plugins:
-    - name: barman-cloud.cloudnative-pg.io
-      enabled: true
-      isWALArchiver: false
-      parameters:
-        barmanObjectName: pprleval-pg-source
-  bootstrap:
-    recovery:
-      source: pprl-pg
-      database: paperless
-      owner: paperless
-  externalClusters:
-    - name: pprl-pg
-      plugin:
-        name: barman-cloud.cloudnative-pg.io
-        parameters:
-          barmanObjectName: pprleval-pg-source
-          serverName: pprl-pg
-  postgresql:
-    parameters:
-      shared_buffers: "256MB"
-      max_connections: "100"
-      # The production tuning for write reduction is deliberately not copied.
-      # It exists to spare the SSDs under a database that runs for years; this
-      # one is read-only for hours at a time and then deleted.
-  resources:
-    requests:
-      cpu: 200m
-      memory: 512Mi
-    limits:
-      memory: 1Gi

kubernetes/apps/paperless-eval/kustomization.yaml

@@ -1,9 +0,0 @@
-apiVersion: kustomize.config.k8s.io/v1beta1
-kind: Kustomization
-namespace: paperless-eval
-resources:
-  - secrets.yaml
-  - cluster.yaml
-  - pvcs.yaml
-  - redis.yaml
-  - paperless.yaml

kubernetes/apps/paperless-eval/paperless.yaml

@@ -1,193 +0,0 @@
----
-# Deliberately much smaller than the production ConfigMap. Everything that
-# exists to serve people is gone: no remote-user auth, no CSRF origins, no
-# barcode or mail consumption, no Tika/Gotenberg. Nothing consumes documents
-# here, and nothing signs in.
-#
-# What remains is the database connection and the AI settings, because those
-# are what the evaluation measures.
-apiVersion: v1
-kind: ConfigMap
-metadata:
-  name: paperless-eval-config
-  namespace: paperless-eval
-data:
-  PAPERLESS_URL: "http://paperless.paperless-eval.svc.cluster.local"
-  PAPERLESS_ALLOWED_HOSTS: "*"
-  PAPERLESS_TIME_ZONE: "Europe/Berlin"
-  PAPERLESS_REDIS: "redis://redis:6379"
-  PAPERLESS_DBENGINE: "postgresql"
-  PAPERLESS_DBHOST: "pprleval-pg-rw"
-  PAPERLESS_DBNAME: "paperless"
-  # Polling off, so a pod that finds an empty consume volume does not spend a
-  # thread looking at it every ten seconds for the length of a run.
-  PAPERLESS_CONSUMER_POLLING_INTERVAL: "0"
-
-  # The AI settings under test. The endpoints are placeholders that each eval
-  # job overrides for the model it is measuring — a job runs its own
-  # llama-server beside paperless in the same pod, so the value that matters at
-  # run time is the one in the job, not the one here.
-  #
-  # Same caveat as production, and sharper here: paperless reads these from an
-  # ApplicationConfiguration row and falls back to the environment only when
-  # that row is empty. The row comes across in the restored database, so
-  # anything configured in the production admin UI arrives with it and silently
-  # wins over this ConfigMap — an eval would then measure production's settings
-  # while appearing to measure the job's.
-  #
-  # Check it before trusting any result, and after every fresh restore:
-  #
-  #   select llm_backend, llm_model, llm_embedding_backend, llm_embedding_model
-  #     from paperless_applicationconfiguration;
-  #
-  # Every column must be null for the environment to apply.
-  PAPERLESS_AI_ENABLED: "true"
-  PAPERLESS_AI_LLM_BACKEND: "openai-like"
-  PAPERLESS_AI_LLM_ENDPOINT: "http://127.0.0.1:8080/v1"
-  PAPERLESS_AI_LLM_MODEL: "qwen3.6-35b-a3b"
-  PAPERLESS_AI_LLM_ALLOW_INTERNAL_ENDPOINTS: "true"
-  PAPERLESS_AI_LLM_CONTEXT_SIZE: "12288"
-  PAPERLESS_AI_LLM_REQUEST_TIMEOUT: "900"
-  PAPERLESS_AI_LLM_OUTPUT_LANGUAGE: "de-de"
-  PAPERLESS_AI_LLM_EMBEDDING_BACKEND: "openai-like"
-  PAPERLESS_AI_LLM_EMBEDDING_ENDPOINT: "http://llama-embed.ai.svc.cluster.local:8080/v1"
-  PAPERLESS_AI_LLM_EMBEDDING_MODEL: "bge-m3"
-  PAPERLESS_AI_LLM_EMBEDDING_CHUNK_SIZE: "1024"
----
-# A base instance that proves the restored database is usable and that the
-# search index and classifier build against it. The evaluation itself does not
-# run here — each job brings its own paperless container so it can point at its
-# own model — but this is what makes a broken clone visible before a job spends
-# hours on it.
-apiVersion: apps/v1
-kind: Deployment
-metadata:
-  name: paperless
-  namespace: paperless-eval
-  labels:
-    app.kubernetes.io/name: paperless
-  annotations:
-    configmap.reloader.stakater.com/reload: paperless-eval-config
-    # Both, like production: the secret refreshes on the same 10m cycle, and
-    # without this the pod would keep a rotated key until something else
-    # restarted it — which defeats the point of matching the interval.
-    secret.reloader.stakater.com/reload: paperless-eval-secrets
-spec:
-  replicas: 1
-  strategy:
-    type: Recreate
-  selector:
-    matchLabels:
-      app.kubernetes.io/name: paperless
-  template:
-    metadata:
-      labels:
-        app.kubernetes.io/name: paperless
-    spec:
-      enableServiceLinks: false
-      securityContext:
-        fsGroup: 1000
-        fsGroupChangePolicy: OnRootMismatch
-        seccompProfile:
-          type: RuntimeDefault
-      containers:
-        - name: paperless
-          # No $imagepolicy marker, unlike apps/paperless: a measurement is
-          # only comparable against a fixed version, so this tag moves when
-          # somebody decides to re-measure, not when a release lands.
-          image: ghcr.io/paperless-ngx/paperless-ngx:3.1.2
-          ports:
-            - name: http
-              containerPort: 8000
-          envFrom:
-            - configMapRef:
-                name: paperless-eval-config
-          env:
-            - name: PAPERLESS_SECRET_KEY
-              valueFrom:
-                secretKeyRef:
-                  name: paperless-eval-secrets
-                  key: secret-key
-            - name: PAPERLESS_DBUSER
-              valueFrom:
-                secretKeyRef:
-                  name: pprleval-pg-app
-                  key: username
-            - name: PAPERLESS_DBPASS
-              valueFrom:
-                secretKeyRef:
-                  name: pprleval-pg-app
-                  key: password
-          volumeMounts:
-            - name: data
-              mountPath: /usr/src/paperless/data
-            - name: media
-              mountPath: /usr/src/paperless/media
-            - name: consume
-              mountPath: /usr/src/paperless/consume
-          # 60 minutes, against production's 10, and matching this app's Flux
-          # Kustomization timeout.
-          #
-          # Production's budget was sized for a from-scratch boot on this same
-          # corpus and held, so 10 would probably do — but there the volume is
-          # Retain and the index survives, making that a one-off. Here the
-          # volume is ephemeral and the index is rebuilt on every re-test, so
-          # the expensive path is the normal one. A killed pod starts the work
-          # over rather than resuming, which turns a slow boot into a
-          # crash-loop that stalls Flux behind wait: true.
-          #
-          # The LLM index is not in this budget: it is a celery task, and boot
-          # only runs init-llmindex-migrate, a migration check.
-          startupProbe:
-            httpGet:
-              path: /accounts/login/
-              port: http
-            periodSeconds: 20
-            timeoutSeconds: 5
-            failureThreshold: 180
-          livenessProbe:
-            httpGet:
-              path: /accounts/login/
-              port: http
-            initialDelaySeconds: 120
-            periodSeconds: 30
-            timeoutSeconds: 10
-          readinessProbe:
-            httpGet:
-              path: /accounts/login/
-              port: http
-            initialDelaySeconds: 30
-            periodSeconds: 10
-            timeoutSeconds: 5
-          resources:
-            requests:
-              cpu: 200m
-              memory: 512Mi
-            limits:
-              memory: 2Gi
-          securityContext:
-            allowPrivilegeEscalation: false
-            capabilities:
-              drop: ["ALL"]
-      volumes:
-        - name: data
-          persistentVolumeClaim:
-            claimName: paperless-eval-data
-        - name: media
-          persistentVolumeClaim:
-            claimName: paperless-eval-media
-        - name: consume
-          persistentVolumeClaim:
-            claimName: paperless-eval-consume
----
-apiVersion: v1
-kind: Service
-metadata:
-  name: paperless
-  namespace: paperless-eval
-spec:
-  selector:
-    app.kubernetes.io/name: paperless
-  ports:
-    - port: 80
-      targetPort: http

kubernetes/apps/paperless-eval/pvcs.yaml

@@ -1,80 +0,0 @@
----
-# All four use ceph-block-ephemeral rather than the Retain default. Everything
-# here is derived — a restored database, an index built from it, a cache —  so
-# the volumes should go when the namespace does instead of leaving Released PVs
-# and orphaned RBD images to reclaim by hand (issue #262).
-#
-# /data holds the Tantivy search index and the classifier pickle, both rebuilt
-# from the database, and the LLM index — which is the expensive one at roughly
-# three hours for the full corpus.
-#
-# Measured on production for the same ~3900 documents: 36 MiB search index,
-# 125 MiB LLM index. 10Gi is far more than that needs, and deliberately so —
-# an embedding model with wider vectors than bge-m3's 1024 dimensions is
-# exactly what phase two varies, and running out of space mid-run would cost
-# the whole rebuild.
-apiVersion: v1
-kind: PersistentVolumeClaim
-metadata:
-  name: paperless-eval-data
-  namespace: paperless-eval
-  labels:
-    velero.io/exclude-from-backup: "true"
-spec:
-  accessModes:
-    - ReadWriteOnce
-  storageClassName: ceph-block-ephemeral
-  resources:
-    requests:
-      storage: 10Gi
----
-# Empty, and stays that way. Paperless refuses to start without the path, but
-# the AI path reads title, content and filename out of the database and never
-# opens a file — so the documents themselves are not copied here. That is what
-# keeps this instance cheap and keeps a second copy of the archive off the
-# cluster.
-apiVersion: v1
-kind: PersistentVolumeClaim
-metadata:
-  name: paperless-eval-media
-  namespace: paperless-eval
-  labels:
-    velero.io/exclude-from-backup: "true"
-spec:
-  accessModes:
-    - ReadWriteOnce
-  storageClassName: ceph-block-ephemeral
-  resources:
-    requests:
-      storage: 1Gi
----
-# Also empty: nothing is consumed here, but the path has to exist.
-apiVersion: v1
-kind: PersistentVolumeClaim
-metadata:
-  name: paperless-eval-consume
-  namespace: paperless-eval
-  labels:
-    velero.io/exclude-from-backup: "true"
-spec:
-  accessModes:
-    - ReadWriteOnce
-  storageClassName: ceph-block-ephemeral
-  resources:
-    requests:
-      storage: 1Gi
----
-apiVersion: v1
-kind: PersistentVolumeClaim
-metadata:
-  name: paperless-eval-redis
-  namespace: paperless-eval
-  labels:
-    velero.io/exclude-from-backup: "true"
-spec:
-  accessModes:
-    - ReadWriteOnce
-  storageClassName: ceph-block-ephemeral
-  resources:
-    requests:
-      storage: 1Gi

kubernetes/apps/paperless-eval/redis.yaml

@@ -1,81 +0,0 @@
----
-apiVersion: apps/v1
-kind: Deployment
-metadata:
-  name: redis
-  namespace: paperless-eval
-  labels:
-    app.kubernetes.io/name: redis
-spec:
-  replicas: 1
-  strategy:
-    type: Recreate
-  selector:
-    matchLabels:
-      app.kubernetes.io/name: redis
-  template:
-    metadata:
-      labels:
-        app.kubernetes.io/name: redis
-    spec:
-      securityContext:
-        runAsNonRoot: true
-        runAsUser: 999
-        fsGroup: 999
-        seccompProfile:
-          type: RuntimeDefault
-      containers:
-        - name: redis
-          # No $imagepolicy marker; see the note on the paperless image.
-          image: redis:8.10.1-alpine
-          # No --save: this holds the celery queue and the suggestion cache,
-          # both of which are regenerated. Persisting them across a restart of
-          # a throwaway instance would only preserve stale suggestions.
-          args:
-            - redis-server
-            - --save
-            - ""
-            - --loglevel
-            - warning
-          ports:
-            - name: redis
-              containerPort: 6379
-          volumeMounts:
-            - name: data
-              mountPath: /data
-          livenessProbe:
-            tcpSocket:
-              port: redis
-            initialDelaySeconds: 10
-          readinessProbe:
-            exec:
-              command: ["redis-cli", "ping"]
-            initialDelaySeconds: 5
-            periodSeconds: 10
-          resources:
-            requests:
-              cpu: 20m
-              memory: 64Mi
-            limits:
-              memory: 256Mi
-          securityContext:
-            allowPrivilegeEscalation: false
-            readOnlyRootFilesystem: true
-            capabilities:
-              drop: ["ALL"]
-      volumes:
-        - name: data
-          persistentVolumeClaim:
-            claimName: paperless-eval-redis
----
-apiVersion: v1
-kind: Service
-metadata:
-  name: redis
-  namespace: paperless-eval
-spec:
-  selector:
-    app.kubernetes.io/name: redis
-  ports:
-    - port: 6379
-      targetPort: redis

kubernetes/apps/paperless-eval/secrets.yaml

@@ -1,45 +0,0 @@
----
-# The same Hetzner S3 key every CNPG-using namespace pulls, needed here only so
-# the recovery source can be read. See apps/paperless for why one shared key
-# rather than per-app paths.
-apiVersion: external-secrets.io/v1
-kind: ExternalSecret
-metadata:
-  name: hetzner-s3-creds
-  namespace: paperless-eval
-spec:
-  refreshInterval: 1h
-  secretStoreRef:
-    kind: ClusterSecretStore
-    name: openbao
-  target:
-    name: hetzner-s3-creds
-  dataFrom:
-    - extract:
-        key: infrastructure/hetzner-s3
----
-# Django's secret key, shared with the production instance rather than given
-# its own vault entry.
-#
-# It signs sessions and CSRF tokens, and this instance has no ingress and no
-# users — nothing signs in, so nothing is at stake in sharing it. A separate
-# entry would mean a vault write before the namespace can start, for a
-# throwaway instance that gets rebuilt.
-apiVersion: external-secrets.io/v1
-kind: ExternalSecret
-metadata:
-  name: paperless-eval-secrets
-  namespace: paperless-eval
-spec:
-  # 10m, matching apps/paperless rather than the 1h default: the point of
-  # sharing the key is that the two hold the same value, and a slower refresh
-  # here would let them diverge for up to an hour after a rotation.
-  refreshInterval: 10m
-  secretStoreRef:
-    kind: ClusterSecretStore
-    name: openbao
-  target:
-    name: paperless-eval-secrets
-  dataFrom:
-    - extract:
-        key: apps/paperless

kubernetes/clusters/homelab/paperless-eval.yaml

@@ -1,34 +0,0 @@
-apiVersion: kustomize.toolkit.fluxcd.io/v1
-kind: Kustomization
-metadata:
-  name: paperless-eval
-  namespace: flux-system
-spec:
-  # A throwaway copy of paperless for measuring the local LLM against the real
-  # corpus. Its Cluster restores from paperless's backup store and archives
-  # nothing back; see kubernetes/apps/paperless-eval/cluster.yaml.
-  #
-  # prune: true and no prune-disabled annotations anywhere underneath — the
-  # data here is a copy, and being able to delete the whole namespace by
-  # removing this file is the point.
-  interval: 10m
-  retryInterval: 1m
-  # 30m is not enough: the first start restores the database and then builds
-  # the search index over ~3900 documents before the webserver answers.
-  timeout: 60m
-  sourceRef:
-    kind: GitRepository
-    name: flux-system
-  path: ./kubernetes/apps/paperless-eval
-  prune: true
-  wait: true
-  dependsOn:
-    - name: infrastructure
-    - name: infrastructure-crds
-    - name: infrastructure-ceph-cluster
-    - name: infrastructure-cnpg-barman
-  healthCheckExprs:
-    - apiVersion: postgresql.cnpg.io/v1
-      kind: Cluster
-      failed: "has(status.phase) && status.phase.startsWith('Failed')"
-      current: "has(status.phase) && (status.phase == 'Cluster in healthy state' || status.readyInstances > 0)"

kubernetes/infrastructure/crowdsec/helmrelease.yaml

@@ -217,32 +217,6 @@ spec:
         - namespace: ingress
           podName: traefik-*
           program: traefik
-          # Read by polling, not inotify. Every path under
-          # /var/log/containers is a symlink into /var/log/pods, and kubelet
-          # rotates the target once it reaches containerLogMaxSize (10Mi,
-          # roughly every eight hours for Traefik here). An inotify tailer
-          # does not survive that rotation: it reopens the path, waits for a
-          # file that is in fact already present, and never reads another
-          # line. Nothing about that state looks broken from outside — the
-          # pod stays Running and Ready, the LAPI keeps answering, and the
-          # cumulative counters keep displaying whatever they reached, so the
-          # only symptom is that no scenario ever fires again.
-          #
-          # CrowdSec detects the hazard itself and logs it at startup, with
-          # this exact remedy in the message: "is a symlink, but inotify
-          # polling is enabled. Crowdsec will not be able to detect rotation.
-          # Consider setting poll_without_inotify to true". Upstream carries
-          # the same case as crowdsec#2449 (k3s + Traefik), and the chart
-          # gained this field in helm-charts#109 specifically to fix it.
-          #
-          # Orthogonal to the force_inotify: true that the chart hardcodes
-          # into acquis.yaml and offers no way to unset. That one governs the
-          # fsnotify watch on the directory, i.e. discovering the log of a
-          # replacement Traefik pod; this one governs how an already
-          # discovered file is read. Both true is the supported combination.
-          #
-          # Costs CPU per open file per upstream docs — two files per node.
-          poll_without_inotify: true
       env:
         - name: COLLECTIONS
           value: "crowdsecurity/traefik crowdsecurity/http-cve crowdsecurity/appsec-virtual-patching crowdsecurity/appsec-generic-rules"

kubernetes/infrastructure/namespaces/namespaces.yaml

@@ -69,13 +69,6 @@ kind: Namespace
 metadata:
   name: paperless
 ---
-# A disposable copy of paperless's database, for measuring how the local LLM
-# classifies documents without experimenting on the live archive.
-apiVersion: v1
-kind: Namespace
-metadata:
-  name: paperless-eval
----
 apiVersion: v1
 kind: Namespace
 metadata:

kubernetes/infrastructure/network-policies/ai-ns.yaml

@@ -34,22 +34,6 @@ spec:
         - ports:
             - port: "8080"
               protocol: TCP
-    # The paperless-eval namespace reaches the embedding endpoint for the same
-    # reason paperless does; its chat model runs inside each eval job's own pod
-    # and needs no grant here.
-    #
-    # Scoped to the namespace rather than to an app label, unlike the grants
-    # around it: that namespace exists only to run evaluations, and its
-    # workload is jobs created per measurement whose labels vary with what is
-    # being measured. A label match would be a trap that presents as an
-    # embedding call silently dropped.
-    - fromEndpoints:
-        - matchLabels:
-            "k8s:io.kubernetes.pod.namespace": paperless-eval
-      toPorts:
-        - ports:
-            - port: "8080"
-              protocol: TCP
     # Home Assistant's llama.cpp conversation agent calls the chat model only —
     # it has no use for the embedding endpoint, so unlike paperless above this
     # grant does not extend to llama-embed.

kubernetes/infrastructure/network-policies/kustomization.yaml

@@ -6,7 +6,6 @@ resources:
   - ingress-isolation.yaml
   - authentik-ns.yaml
   - paperless-ns.yaml
-  - paperless-eval-ns.yaml
   - audiobookshelf-ns.yaml
   - home-assistant-ns.yaml
   - spegel-ns.yaml

kubernetes/infrastructure/network-policies/paperless-eval-ns.yaml

@@ -1,141 +0,0 @@
-# Narrower than paperless-ns.yaml, because this namespace serves nobody.
-#
-# There is no ingress, no gate outpost and no hostname: the only things that
-# talk to it are its own pods. Monitoring is admitted so a run can be watched,
-# and host/remote-node for the kubelet probes.
-#
-# Egress reaches the ai namespace for the embedding endpoint, which is the one
-# dependency an eval job has outside its own pod, and world:443 so the CNPG
-# recovery can read the backup store on Hetzner.
-apiVersion: cilium.io/v2
-kind: CiliumNetworkPolicy
-metadata:
-  name: default-deny-ingress
-  namespace: paperless-eval
-spec:
-  endpointSelector: {}
-  ingress:
-    - fromEndpoints:
-        - matchLabels:
-            "k8s:io.kubernetes.pod.namespace": paperless-eval
-    - fromEndpoints:
-        - matchLabels:
-            "k8s:io.kubernetes.pod.namespace": monitoring
-    - fromEntities:
-        - host
-        - remote-node
-    # ICMP — all standard ICMPv4 + ICMPv6 from any cluster pod. See
-    # home-assistant-ns.yaml for the rationale.
-    - fromEndpoints:
-        - matchExpressions:
-            - key: io.kubernetes.pod.namespace
-              operator: Exists
-      icmps:
-        - fields:
-            - { type: 0,   family: IPv4 }
-            - { type: 3,   family: IPv4 }
-            - { type: 8,   family: IPv4 }
-            - { type: 11,  family: IPv4 }
-            - { type: 12,  family: IPv4 }
-            - { type: 1,   family: IPv6 }
-            - { type: 2,   family: IPv6 }
-            - { type: 3,   family: IPv6 }
-            - { type: 4,   family: IPv6 }
-            - { type: 128, family: IPv6 }
-            - { type: 129, family: IPv6 }
-            - { type: 133, family: IPv6 }
-            - { type: 134, family: IPv6 }
-            - { type: 135, family: IPv6 }
-            - { type: 136, family: IPv6 }
-            - { type: 143, family: IPv6 }
-  egress:
-    - toEndpoints:
-        - matchLabels:
-            "k8s:io.kubernetes.pod.namespace": paperless-eval
-    # The embedding endpoint. The chat model runs inside each job's own pod, so
-    # it needs no grant; the embedder is shared with production because it is
-    # read-only and cheap, and swapping it is a phase-two concern.
-    - toEndpoints:
-        - matchLabels:
-            "k8s:io.kubernetes.pod.namespace": ai
-            app.kubernetes.io/name: llama-embed
-      toPorts:
-        - ports:
-            - port: "8080"
-              protocol: TCP
-    - toEndpoints:
-        - matchLabels:
-            "k8s:io.kubernetes.pod.namespace": rook-ceph
-    - toEndpoints:
-        - matchLabels:
-            "k8s:io.kubernetes.pod.namespace": kube-system
-            k8s-app: kube-dns
-      toPorts:
-        - ports:
-            - port: "53"
-              protocol: UDP
-    - toEntities:
-        - host
-        - remote-node
-    # world:443 — the CNPG recovery reads the backup store on Hetzner Object
-    # Storage, and image pulls.
-    - toEntities:
-        - world
-      toPorts:
-        - ports:
-            - port: "443"
-              protocol: TCP
-    # ICMP — egress mirror; see ingress block above.
-    - toEndpoints:
-        - matchExpressions:
-            - key: io.kubernetes.pod.namespace
-              operator: Exists
-      icmps:
-        - fields:
-            - { type: 0,   family: IPv4 }
-            - { type: 3,   family: IPv4 }
-            - { type: 8,   family: IPv4 }
-            - { type: 11,  family: IPv4 }
-            - { type: 12,  family: IPv4 }
-            - { type: 1,   family: IPv6 }
-            - { type: 2,   family: IPv6 }
-            - { type: 3,   family: IPv6 }
-            - { type: 4,   family: IPv6 }
-            - { type: 128, family: IPv6 }
-            - { type: 129, family: IPv6 }
-            - { type: 133, family: IPv6 }
-            - { type: 134, family: IPv6 }
-            - { type: 135, family: IPv6 }
-            - { type: 136, family: IPv6 }
-            - { type: 143, family: IPv6 }
----
-# The CNPG operator polls each instance's status endpoint over HTTPS
-# (https://<pod-ip>:8000/pg/status) to populate Cluster status. Without it the
-# Cluster reports "Instance Status Extraction Error: HTTP communication issue"
-# while Postgres serves normally — issue #433, where the operator's dial timed
-# out because the apps baseline never allowed the database namespace.
-#
-# It matters here even for a throwaway: the Flux Kustomization waits on
-# Cluster status, and a smoke test that cannot report its own health is not one.
-#
-# Scoped to the pprleval-pg endpoints and that one port, like the equivalent
-# rules for wp-pg and ha-pg: the barman and mariadb operators sharing the
-# database namespace have no reason to reach anything here.
-apiVersion: cilium.io/v2
-kind: CiliumNetworkPolicy
-metadata:
-  name: pprleval-pg-allow-cnpg-operator
-  namespace: paperless-eval
-spec:
-  endpointSelector:
-    matchLabels:
-      cnpg.io/cluster: pprleval-pg
-  ingress:
-    - fromEndpoints:
-        - matchLabels:
-            "k8s:io.kubernetes.pod.namespace": database
-            app.kubernetes.io/name: cloudnative-pg
-      toPorts:
-        - ports:
-            - port: "8000"
-              protocol: TCP