Memory & state

Persist and manage durable state with sub-10ms access latency using event sourcing and key-value patterns. This use case covers how to model stateful entities, maintain conversation memory, build queryable views over your data, and choose the right persistence pattern for your application’s needs.

Overview

When to Use This Pattern

  • You need durable, low-latency state that survives restarts and scales horizontally

  • Your application requires event sourcing for full audit trails and temporal queries

  • You want simple key-value storage for session memory, caches, or configuration

  • You need to build read-optimized views that aggregate data across multiple entities

Akka Components Involved

  • Event Sourced Entities — persist state as an immutable sequence of events with full history

  • Key Value Entities — store and retrieve state directly with simple get/set semantics

  • Views — build read-optimized projections over entity state for queries and reporting

Sample Projects

The following sample projects demonstrate this pattern:

See Also