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logarchiver/docs/deployment.md
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Initial implementation: NATS->S3 archiver + search/retrieve CLI
logarchiver replaces the plain Vector archiver leg of the centralized
logging stack (argocd-apps #296) with a Go service that archives raw logs
from NATS JetStream to S3 as zstd-compressed, OpenPGP-encrypted, indexed
objects, plus an operator CLI to search the index and retrieve/decrypt
archived logs. It adds the things that outgrew Vector: zstd compression,
encryption keyed from Ben's Vault GPG secrets engine, a searchable
ClickHouse index, and sink-conditional acks (a batch is acknowledged to
JetStream only after the object is durably in S3 AND indexed).

Service (`logarchiver run`):
- Durable JetStream pull consumer (stream LOGS, durable archiver, subject
  filter default logs.k8s.vault.>), explicit acks, independent offsets.
- Batch per subject by size/count/time -> NDJSON -> zstd -> encrypt -> S3
  PUT -> ClickHouse index row -> ack. On any failure the batch is Nak'd and
  redelivered, so nothing is lost on a sink outage.
- Encryption is a wrapped-DEK envelope (container LARC1): the bulk is
  AES-256-GCM framed under a random data key, and only that 32-byte key is
  OpenPGP-encrypted to the engine's public key. This is because the Vault
  GPG engine does whole-payload decrypt only; retrieval round-trips just the
  tiny wrapped key regardless of object size. Public key fetched from the
  engine or a mounted file (configurable); key fingerprint recorded per
  object; periodic pubkey refresh for rotation.
- Prometheus metrics, structured slog, graceful drain on shutdown.

CLI:
- `search` queries the index (subject/host/time) and lists matching objects.
- `fetch` downloads, decrypts via the Vault GPG engine, unzstds and emits
  NDJSON (optionally re-filtered by host/time).
- `init-schema` creates/prints the ClickHouse archive_index DDL.
- cobra `completion` subcommands.

Config via file+env (k8s-friendly, secrets from env), boundaries (NATS/S3/
ClickHouse/Vault) behind interfaces with unit tests (config, batching,
host/subject extraction, crypto roundtrip with a test key, ack-after-persist
with fakes, search query building). go build/vet/test -race clean;
golangci-lint v2 clean. Woodpecker CI: build/test/pre-commit on PR; on v*
tag a container image plus a Gitea binary release + rpm-internal RPM. Docs
per subcommand + architecture + retrieval runbook + deployment drop-in.

Claude-Session: https://claude.ai/code/session_015ur3i7D2azsMAWTSVABApv
2026-07-27 23:22:40 +10:00

3.5 KiB

Deployment (drop-in fit with the logging stack)

This describes how logarchiver slots into the centralized logging stack (argocd-apps #296). The actual argocd manifest swap is a separate later task; this documents the wiring logarchiver is built for so that swap is mechanical.

Where it runs

  • Namespace logging, ServiceAccount default (reuses the stack's VaultAuth default, k8s auth mount k8s/au/syd1, role default).
  • Single-replica Deployment (independent JetStream offsets; one archiver is enough — scale by subject-sharding into multiple durables if ever needed).
  • Pod label vector.dev/exclude: "true" so the Vector agent does not scrape logarchiver's own logs (matches the Vector archiver it replaces).
  • Startup healthcheck against RGW should be lenient (RGW cred propagation is slow), like the Vector archiver.

What it binds to (all already provided by #296)

Dependency Wiring
NATS nats://nats.logging.svc.cluster.local:4222, user log-consumer, password from secret nats-auth key consumer_password → env NATS_CONSUMER_PASSWORD. Stream LOGS, durable archiver.
S3 (Ceph RGW) Bucket logs-archive, endpoint https://s3.ceph.unkin.net (path-style, region us-east-1), CA /etc/vault-ca/ca.crt (mount the vault-ca-cert secret). Creds from cephrgw BucketAccess secret logs-archive-s3 via envFrom (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY; optional S3_ENDPOINT/BUCKET_NAME).
ClickHouse clickhouse-logs.logging.svc.cluster.local:9000 (native), database logs, table archive_index, user vector, password from secret clickhouse-credentials key password → env CLICKHOUSE_PASSWORD.
Vault GPG engine Public key: default pubkey_source: file from a mounted armored key (secret/ConfigMap at /etc/logarchiver/pubkey.asc) — no Vault dependency on the hot path. Or pubkey_source: vault with k8s auth to read gpg/keys/logarchive.

Secrets to seed (Vault KV, reusing the logging/default path)

Nothing new is strictly required if you reuse the existing nats-auth, logs-archive-s3, and clickhouse-credentials secrets. For the file pubkey, add an armored public key as a mounted secret (e.g. kv/kubernetes/namespace/logging/default/logarchiver-pubkey → VaultStaticSecret → file mount).

Cross-repo notes

  • No new ServiceAccount (reuses default), so no argocd-apps SA PR is needed for CI; the Woodpecker steps already use serviceAccountName: default.
  • terraform-vault: only needed if you (a) use pubkey_source: vault and the logging/default policy doesn't already permit read gpg/keys/logarchive, or (b) want a dedicated operator policy for update gpg/decrypt/logarchive. Operators today use their own human Vault tokens for fetch, so this is optional — track as a follow-up, not a blocker.
  • ClickHouse table: created by the argocd bootstrap Job (embed the output of logarchiver init-schema --print), not by the service at runtime.

Migrating off the Vector archiver

The Vector archiver binds the same LOGS/archiver durable. To cut over safely: deploy logarchiver with a distinct durable (e.g. durable: archiver-canary) and a narrow ARCHIVE_SUBJECTS to validate objects

  • index rows land, then repoint it to the archiver durable and scale the Vector archiver to zero. logarchiver writes a different object prefix (archive/…​.ndjson.zst.larc) than Vector (raw/…​.log.gz), so the two never collide in the bucket.