realtime-websockets

To handle WebSocket reconnections, implement sequence-based message replay and gap backfilling. This state recovery strategy tracks message sequences, allowing clients to request missing data after a network drop and ensuring consistency without duplicating messages.

To scale realtime WebSocket connections horizontally, use a pub/sub architecture. This pattern decouples message broadcasting from individual server instances, allowing you to distribute connection loads across multiple nodes while synchronizing state reliably.

Backpressure management prevents system instability in realtime applications by controlling data flow when clients cannot process messages fast enough. This mechanism prevents memory overload and dropped connections during traffic spikes.

Yes, you can use this realtime connection strategy for Server-Sent Events (SSE) as well as WebSockets. The framework implements robust communication patterns for both protocols, including connection lifecycles and reliable state synchronization across either technology.

You need heartbeat mechanisms in your realtime connection lifecycle to prevent memory leaks and half-open connections. By implementing graceful handshakes and regular pings, the system actively detects and closes stale connections, maintaining long-term stability.

To synchronize state across clients after a mobile network switch, implement sequence-based message replay. This allows the application to automatically recover the lost state during reconnection, ensuring data consistency for collaborative dashboards or chat apps.