resilience

To restore engine state after a process crash, high-value signals are persisted in Synapse SQLite storage, allowing the engine to automatically recover active cycles on startup and prevent data loss.

Handling API rate limits and 429 errors requires defensive API usage with exponential backoff and jitter, which spaces out retries to avoid thundering herd effects and triggers hibernation after repeated failures.

PM2 process orchestration works with crash recovery by managing long-running engine cycles and running brain_tap.py health diagnostics to monitor system reliability and ensure no single point of failure in data handoffs.

Yes, persistence and crash recovery support long-running engine cycles in trading systems by enforcing Synapse SQLite state storage and PM2 orchestration to guarantee reliability during restart scenarios and inter-service handoffs.

A thundering herd occurs during restarts when multiple services retry simultaneously; adding jitter to exponential backoff delays retries randomly, preventing synchronized API requests and reducing system overload.

Using SQLite for engine state persistence requires Synapse integration to survive process crashes, but its scope is limited to local state restoration and inter-service handoffs rather than distributed database clustering.