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
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# logarchiver configuration example.
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#
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# Every field below shows its built-in default (the defaults are tuned for the
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# centralized logging stack in argocd-apps #296). In k8s you typically deploy
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# with NO config file and let the defaults + secret env vars drive everything;
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# this file documents the knobs and is handy for local/dev runs.
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#
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# Precedence: built-in defaults < this file < environment variables.
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nats:
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url: "nats://nats.logging.svc.cluster.local:4222"
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stream: "LOGS"
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# Durable pull-consumer name. Reusing "archiver" takes over the leg the Vector
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# archiver currently owns; use a distinct name (e.g. "archiver-canary") to run
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# alongside it during migration.
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durable: "archiver"
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# Server-side subject filter(s). Overridable via env ARCHIVE_SUBJECTS
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# (space-separated). Default archives Vault audit logs only.
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subjects:
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- "logs.k8s.vault.>"
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user: "log-consumer"
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# Password comes from the nats-auth secret via NATS_CONSUMER_PASSWORD.
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password: ""
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password_env: "NATS_CONSUMER_PASSWORD"
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ca_file: "" # in-cluster NATS is plaintext
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fetch_batch: 512
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ack_wait: "2m"
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batch:
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# A per-subject batch becomes one object when any bound is hit.
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max_bytes: 67108864 # 64 MiB raw NDJSON
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max_events: 200000
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max_age: "5m"
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s3:
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endpoint: "https://s3.ceph.unkin.net"
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bucket: "logs-archive"
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region: "us-east-1"
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path_style: true
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# Object key template. Fields: {{.Subject}} {{.Year}} {{.Month}} {{.Day}}.
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key_prefix: "archive/{{.Subject}}/{{.Year}}/{{.Month}}/{{.Day}}/"
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ca_file: "/etc/vault-ca/ca.crt"
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# Credentials come from the cephrgw BucketAccess secret logs-archive-s3 via the
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# standard AWS_ACCESS_KEY_ID / AWS_SECRET_ACCESS_KEY env vars. Endpoint/bucket
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# can also be sourced from that secret's S3_ENDPOINT / BUCKET_NAME keys:
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endpoint_env: "S3_ENDPOINT"
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bucket_env: "BUCKET_NAME"
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crypto:
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# Vault GPG engine key used to encrypt objects (public key) and decrypt on
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# retrieval (private key, server-side in Vault).
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key_name: "logarchive"
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# Where the service gets the PUBLIC key: "file" (mounted armored key, no Vault
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# dependency for the service) or "vault" (read gpg/keys/<name>).
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pubkey_source: "file"
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pubkey_file: "/etc/logarchiver/pubkey.asc"
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refresh_interval: "1h"
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frame_size: 1048576 # 1 MiB AES-GCM frames (streaming decrypt granularity)
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vault:
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address: "" # falls back to VAULT_ADDR
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mount: "gpg"
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auth_method: "kubernetes" # service: kubernetes; CLI always uses token
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k8s_role: "default"
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k8s_mount: "k8s/au/syd1"
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k8s_jwt_path: "/var/run/secrets/kubernetes.io/serviceaccount/token"
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ca_file: ""
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index:
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enabled: true
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address: "clickhouse-logs.logging.svc.cluster.local:9000" # native protocol
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database: "logs"
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table: "archive_index"
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username: "vector"
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password: ""
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password_env: "CLICKHOUSE_PASSWORD"
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tls: false # in-cluster ClickHouse is plaintext
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metrics:
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enabled: true
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address: ":9090" # /metrics and /healthz
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log:
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level: "info" # debug|info|warn|error
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format: "json" # json|text
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