unkinben
c39af2f9c3
Rework the logging pipeline around a durable message bus so logs survive a ClickHouse outage, can be replayed after a bad transform, and fan out to multiple independent consumers. Add long-term raw-log backup to S3. Topology becomes edge -> JetStream -> consumers -> sinks: - Dedicated JetStream NATS cluster (3 replicas, file storage) in the logging namespace. Deliberately separate from app messaging (streamstack) for blast-radius isolation. Stream LOGS (subjects logs.>, retention=limits, 40GiB / 72h) is the outage buffer; durable consumers give independent offsets. - Edge publishers (thin): the k8s DaemonSet and a new VM-ingest Deployment (HTTP NDJSON front door behind the logs-ingest Gateway) publish into JetStream (logs.k8s.<ns>.<container> / logs.vm.<host>). No parsing on the edge. - Transform tier (StatefulSet): pulls the whole stream via the durable `transform` consumer, routes by subject, shapes, and remains the sole ClickHouse writer. Its disk buffer shrinks (JetStream is the outage buffer). - Archiver (Deployment): its OWN durable `archiver` consumer (independent offsets — archive lag never affects the ClickHouse path) writes RAW, pre-transform events to a Ceph RGW S3 bucket (cephrgw-operator ObjectStoreUser + Bucket + BucketAccess) as gzipped NDJSON keyed by raw/<subject>/YYYY/MM/DD/. Default subject filter is Vault audit (logs.k8s.vault.>), configurable. Auth: distinct NATS users (producer publish-only, consumer pull+ack, admin for the stream/consumer bootstrap Job) with passwords from Vault (nats-auth Secret); S3 creds from the BucketAccess Secret. Streams/consumers are provisioned by an idempotent PostSync bootstrap Job. Add local kubeconform schemas for the ceph.unkin.net CRDs (datreeio lacks them) and extend the vector-test CI to cover the agent, VM-ingest and archiver configs. Verified end-to-end locally: NATS ACLs, vector JetStream publish, and durable-consumer pull+ack (at-least-once) all work. Claude-Session: https://claude.ai/code/session_015ur3i7D2azsMAWTSVABApv
70 lines
1.6 KiB
YAML
70 lines
1.6 KiB
YAML
# Vector TRANSFORM tier (StatefulSet) — the "brain": sole ClickHouse writer,
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# owns all transforms, holds the only ClickHouse + NATS-consumer credentials.
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# It is a pure JetStream pull consumer (no inbound ports) — durability lives in
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# JetStream, so the local disk buffer is small (5Gi PVC / 2GiB buffer).
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#
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# Pipeline is the single source of truth in apps/base/logging/vector/
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# aggregator.yaml (unit-tested by `vector test` in CI), mounted via
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# existingConfigMaps.
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role: Aggregator
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fullnameOverride: vector-aggregator
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replicas: 2
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workloadResourceAnnotations:
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reloader.stakater.com/auto: "true"
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podLabels:
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vector.dev/exclude: "true"
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dataDir: /vector-data-dir
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existingConfigMaps:
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- vector-aggregator-config
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persistence:
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enabled: true
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storageClassName: cephrbd-fast-delete
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size: 5Gi
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accessModes:
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- ReadWriteOnce
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# The ONLY place ClickHouse + NATS-consumer creds are consumed.
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env:
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- name: CLICKHOUSE_USER
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valueFrom:
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secretKeyRef:
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name: clickhouse-credentials
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key: username
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- name: CLICKHOUSE_PASSWORD
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valueFrom:
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secretKeyRef:
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name: clickhouse-credentials
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key: password
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- name: NATS_CONSUMER_PASSWORD
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valueFrom:
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secretKeyRef:
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name: nats-auth
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key: consumer_password
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# Pure consumer: expose only the Vector API for debugging.
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containerPorts:
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- name: api
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containerPort: 8686
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protocol: TCP
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service:
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enabled: true
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type: ClusterIP
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ports:
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- name: api
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port: 8686
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targetPort: 8686
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protocol: TCP
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resources:
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requests:
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cpu: 250m
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memory: 512Mi
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limits:
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cpu: "2"
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memory: 2Gi
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