git.stella-ops.org/deploy/compose

Stella Ops Compose Profiles

These Compose bundles ship the minimum services required to exercise the scanner pipeline plus control-plane dependencies. Every profile is pinned to immutable image digests sourced from deploy/releases/*.yaml and is linted via docker compose config in CI.

Layout

Path	Purpose
docker-compose.dev.yaml	Edge/nightly stack tuned for laptops and iterative work.
docker-compose.stage.yaml	Stable channel stack mirroring pre-production clusters.
docker-compose.prod.yaml	Production cutover stack with front-door network hand-off and Notify events enabled.
docker-compose.airgap.yaml	Stable stack with air-gapped defaults (no outbound hostnames).
docker-compose.mirror.yaml	Managed mirror topology for *.stella-ops.org distribution (Concelier + Excititor + CDN gateway).
docker-compose.telemetry.yaml	Optional OpenTelemetry collector overlay (mutual TLS, OTLP ingest endpoints).
docker-compose.telemetry-storage.yaml	Prometheus/Tempo/Loki storage overlay with multi-tenant defaults.
docker-compose.gpu.yaml	Optional GPU overlay enabling NVIDIA devices for Advisory AI web/worker. Apply with -f docker-compose.<env>.yaml -f docker-compose.gpu.yaml.
env/*.env.example	Seed .env files that document required secrets and ports per profile.
scripts/backup.sh	Pauses workers and creates tar.gz of Mongo/MinIO/Redis volumes (deterministic snapshot).
scripts/reset.sh	Stops the stack and removes Mongo/MinIO/Redis volumes after explicit confirmation.
scripts/quickstart.sh	Helper to validate config and start dev stack; set USE_MOCK=1 to include docker-compose.mock.yaml overlay.
docker-compose.mock.yaml	Dev-only overlay with placeholder digests for missing services (orchestrator, policy-registry, packs, task-runner, VEX/Vuln stack). Use only with mock release manifest deploy/releases/2025.09-mock-dev.yaml.

Usage

cp env/dev.env.example dev.env
docker compose --env-file dev.env -f docker-compose.dev.yaml config
docker compose --env-file dev.env -f docker-compose.dev.yaml up -d

The stage and airgap variants behave the same way—swap the file names accordingly. All profiles expose 443/8443 for the UI and REST APIs, and they share a stellaops Docker network scoped to the compose project.

Surface.Secrets: set SCANNER_SURFACE_SECRETS_PROVIDER/SCANNER_SURFACE_SECRETS_ROOT in your .env and point SURFACE_SECRETS_HOST_PATH to the decrypted bundle path (default ./offline/surface-secrets). The stack mounts that path read-only into Scanner Web/Worker so secret:// references resolve without embedding plaintext.

Graph Explorer reminder: If you enable Cartographer or Graph API containers alongside these profiles, update etc/authority.yaml so the cartographer-service client is marked with properties.serviceIdentity: "cartographer" and carries a tenant hint. The Authority host now refuses graph:write tokens without that marker, so apply the configuration change before rolling out the updated images.

Telemetry collector overlay

The OpenTelemetry collector overlay is optional and can be layered on top of any profile:

./ops/devops/telemetry/generate_dev_tls.sh
docker compose -f docker-compose.telemetry.yaml up -d
python ../../ops/devops/telemetry/smoke_otel_collector.py --host localhost
docker compose -f docker-compose.telemetry-storage.yaml up -d

The generator script creates a development CA plus server/client certificates under deploy/telemetry/certs/. The smoke test sends OTLP/HTTP payloads using the generated client certificate and asserts the collector reports accepted traces, metrics, and logs. The storage overlay starts Prometheus, Tempo, and Loki with multitenancy enabled so you can validate the end-to-end pipeline before promoting changes to staging. Adjust the configs in deploy/telemetry/storage/ before running in production. Mount the same certificates when running workloads so the collector can enforce mutual TLS.

For production cutovers copy env/prod.env.example to prod.env, update the secret placeholders, and create the external network expected by the profile:

docker network create stellaops_frontdoor
docker compose --env-file prod.env -f docker-compose.prod.yaml config

Scanner event stream settings

Scanner WebService can emit signed scanner.report.* events to Redis Streams when SCANNER__EVENTS__ENABLED=true. Each profile ships environment placeholders you can override in the .env file:

• SCANNER_EVENTS_ENABLED – toggle emission on/off (defaults to false).
• SCANNER_EVENTS_DRIVER – currently only redis is supported.
• SCANNER_EVENTS_DSN – Redis endpoint; leave blank to reuse the queue DSN when it uses redis://.
• SCANNER_EVENTS_STREAM – stream name (stella.events by default).
• SCANNER_EVENTS_PUBLISH_TIMEOUT_SECONDS – per-publish timeout window (defaults to 5).
• SCANNER_EVENTS_MAX_STREAM_LENGTH – max stream length before Redis trims entries (defaults to 10000).

Helm values mirror the same knobs under each service’s env map (see deploy/helm/stellaops/values-*.yaml).

Scheduler worker configuration

Every Compose profile now provisions the scheduler-worker container (backed by the StellaOps.Scheduler.Worker.Host entrypoint). The environment placeholders exposed in the .env samples match the options bound by AddSchedulerWorker:

• SCHEDULER_QUEUE_KIND – queue transport (Nats or Redis).
• SCHEDULER_QUEUE_NATS_URL – NATS connection string used by planner/runner consumers.
• SCHEDULER_STORAGE_DATABASE – MongoDB database name for scheduler state.
• SCHEDULER_SCANNER_BASEADDRESS – base URL the runner uses when invoking Scanner’s /api/v1/reports (defaults to the in-cluster http://scanner-web:8444).

Helm deployments inherit the same defaults from services.scheduler-worker.env in values.yaml; override them per environment as needed.

Advisory AI configuration

advisory-ai-web hosts the API/plan cache while advisory-ai-worker executes queued tasks. Both containers mount the shared volumes (advisory-ai-queue, advisory-ai-plans, advisory-ai-outputs) so they always read/write the same deterministic state. New environment knobs:

• ADVISORY_AI_SBOM_BASEADDRESS – endpoint the SBOM context client hits (defaults to the in-cluster Scanner URL).
• ADVISORY_AI_INFERENCE_MODE – Local (default) keeps inference on-prem; Remote posts sanitized prompts to the URL supplied via ADVISORY_AI_REMOTE_BASEADDRESS. Optional ADVISORY_AI_REMOTE_APIKEY carries the bearer token when remote inference is enabled.
• ADVISORY_AI_WEB_PORT – host port for advisory-ai-web.

The Helm chart mirrors these settings under services.advisory-ai-web / advisory-ai-worker and expects a PVC named stellaops-advisory-ai-data so both deployments can mount the same RWX volume.

Front-door network hand-off

docker-compose.prod.yaml adds a frontdoor network so operators can attach Traefik, Envoy, or an on-prem load balancer that terminates TLS. Override FRONTDOOR_NETWORK in prod.env if your reverse proxy uses a different bridge name. Attach only the externally reachable services (Authority, Signer, Attestor, Concelier, Scanner Web, Notify Web, UI) to that network—internal infrastructure (Mongo, MinIO, RustFS, NATS) stays on the private stellaops network.

Updating to a new release

1. Import the new manifest into deploy/releases/ (see deploy/README.md).
2. Update image digests in the relevant Compose file(s).
3. Re-run docker compose config to confirm the bundle is deterministic.

Mock overlay for missing digests (dev only)

Until official digests land, you can exercise Compose packaging with mock placeholders:

# assumes docker-compose.dev.yaml as the base profile
USE_MOCK=1 ./scripts/quickstart.sh env/dev.env.example

The overlay pins the missing services (orchestrator, policy-registry, packs-registry, task-runner, VEX/Vuln stack) to mock digests from deploy/releases/2025.09-mock-dev.yaml and starts their real entrypoints so integration flows can be exercised end-to-end. Replace the mock pins with production digests once releases publish; keep the mock overlay dev-only.

Keep digests synchronized between Compose, Helm, and the release manifest to preserve reproducibility guarantees. deploy/tools/validate-profiles.sh performs a quick audit.

GPU toggle for Advisory AI

GPU is disabled by default. To run inference on NVIDIA GPUs:

docker compose \
  --env-file prod.env \
  -f docker-compose.prod.yaml \
  -f docker-compose.gpu.yaml \
  up -d

The GPU overlay requests one GPU for advisory-ai-worker and advisory-ai-web and sets ADVISORY_AI_INFERENCE_GPU=true. Ensure the host has the NVIDIA container runtime and that the base compose file still sets the correct digests.