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Storage and Data

The storage architecture powers the server-side backbone of the Resultity platform, supporting the Network, Cloud, and Space components.
It is designed to manage all essential state, inference job flows, and real-time orchestration across the decentralized infrastructure.

Data is retained only when relevant:

  • Structured state in PostgreSQL is rolled up periodically;
  • Logs and inference data in MongoDB are stored temporarily by default;
  • Extended retention in MongoDB may become available via Space as a paid feature;
  • Old data is offloaded to decentralized storage when applicable.

Storage Layers​

Resultity uses four active components and one planned archival layer:

  1. PostgreSQL — structured, relational data;
  2. MongoDB — unstructured job data and logs;
  3. Redis — high-speed in-memory cache;
  4. RabbitMQ — task routing and coordination;
  5. Versioning and Snapshots (planned) — long-term archival.

Goals of the Design​

  • Separation of concerns
    Each component handles a distinct responsibility: configs, logs, cache, or routing.

  • Scalability and performance
    Redis and RabbitMQ decouple I/O and routing from persistent layers.

  • Real-time orchestration
    Redis manages ephemeral state and node availability, RabbitMQ drives task dispatch.

  • Auditability
    PostgreSQL stores canonical data with periodic rollups for credits, job history, and account state.

  • Optional persistence
    MongoDB stores job inputs/outputs temporarily; extended storage may be provided via Space.

  • Decentralized backups
    Historical PostgreSQL rollups may be archived to cold, decentralized storage.

Layered Architecture​

  • Authoritative state and configs → PostgreSQL
  • Job payloads, logs, stats (ephemeral) → MongoDB
  • Live state and task control → Redis
  • Job queueing and routing → RabbitMQ
  • Versioned snapshots (future) → decentralized cold storage

This modular and selective storage system balances performance, observability, and user privacy — enabling Resultity to operate efficiently at global scale.