Databases & Caching

• Persistent Storage: MongoDB with sharded clusters for horizontal scaling, encrypted at rest, and backed by automated snapshots.

  • Optimized for read-heavy workloads with compound indexes on frequent query fields.

  • Time-series collections for metrics data to handle high insert rates efficiently.

• Caching and Ephemeral Data: Redis Cluster for distributed caching.

  • Used for anti-replay (storing signatures with TTLs).

  • Implements rate limiting with Lua scripts for atomic operations.

  • Manages user sessions with secure serialization.

Integration tests ensure data consistency across layers, with monitoring via Prometheus for query latencies and hit rates.