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Deployment Architecture

This page gives operators a production map. Developers who need implementation details should use Architecture and Operations Internals.

Deployment profiles​

Compact runs the app, workers, control plane, MCP and related runtime processes inside one runtime container behind one internal HTTP router. PostgreSQL and RabbitMQ remain separate services, and bundled artifact storage adds SeaweedFS. Compact requires Production and runs one runtime replica; its worker-process count is separate from runtime replication. Its durable /data volume holds local product files and runtime state.

Scalable runs separate service containers and retains fs-cli for host configuration/stack operations. Its worker scaling uses configured replicas. Development is a contributor preset on Scalable; Production is the minimal runtime preset and also works for local Compact trials.

The chosen ingress is another independent decision: bundled Traefik, existing Docker Traefik, existing Apache/Nginx, or Compact platform ingress. A host proxy forwards to private loopback ports; a Docker proxy uses a shared network and service aliases. See Answer the Installer Questions for routes, TLS ownership and current Docker-proxy readiness limitations.

On a provider such as Railway, Compact runs from an image with provider-managed deployment/volumes and no Docker daemon inside the container. Its management console is not the checkout's host installer or retained fs-cli environment.

Runtime components​

ComponentResponsibility
App/APIServes the web UI, API routes, auth, settings, registry, monitoring, and admin surfaces.
Worker/runtimeExecutes jobs, workflow phases, steps, agents, connectors, retries, and gates.
QueueBuffers accepted work and dispatches units to workers.
DatabaseStores users, projects, workflow definitions, jobs, events, approvals, settings, and audit evidence.
Knowledge retrievalUses canonical Postgres memory and workflow/entity graph/vector context; not a repository-code or schema index.
File/artifact storageHolds artifacts on persistent local storage, bundled SeaweedFS, or external S3. Logs, backups, project trees, extensions and installer state have separate persistence/recovery boundaries.
MCP serverExposes Flow Steward tools to approved AI clients.
Extension runtimeRuns provider bundles out of process and returns validated responses to the host.
ObservabilityEmits health, metrics, logs, traces, events, and incident evidence.

Operator boundaries​

  • Keep public user traffic, metrics scraping, and MCP access on intentionally exposed network paths.
  • Treat extension bundles and MCP catalogs as trusted automation inputs only after review.
  • Keep database backup scope separate from file, object storage, and provider side effects.
  • Protect model provider keys, extension credentials, PATs, service-account tokens, machine tokens, and callback secrets.
  • Verify project knowledge and external-tool scope before exposing context to agents.