WebSocketsXMPPReactTypeScriptSplunk
WebSocket Reliability Engineering
Enterprise SaaS · Senior Frontend Engineer · 2023 – 2024
The Challenge
The platform relied on WebSocket and XMPP connections for real-time messaging and presence. Users frequently experienced dropped connections, missed messages, and inconsistent state — especially on mobile networks or during server deployments. Support tickets about "messages not arriving" were a top complaint.
The real-time layer lacked observability: when issues occurred, the team was debugging blind.
The Approach
I tackled this from two angles — reliability engineering and observability:
Connection Reliability
- Exponential backoff with jitter for reconnection, preventing thundering herd on server recovery
- Connection state machine — a finite state machine managing connected/disconnected/reconnecting states, replacing scattered boolean flags
- Heartbeat monitoring — client-side heartbeat detection with configurable thresholds, triggering proactive reconnection before the user notices
- Message queue with replay — queued outbound messages during disconnection, replayed on reconnect with deduplication
Observability
- Splunk dashboards tracking connection lifecycle events, reconnection rates, message delivery latency, and error distributions
- Client-side telemetry — lightweight instrumentation reporting connection health metrics without impacting performance
- Alerting — configured alerts for anomalous reconnection spikes or message delivery degradation
Execution
The reliability improvements were rolled out incrementally behind feature flags, with each change validated against Splunk metrics:
- Deployed the connection state machine and monitored reconnection patterns
- Added heartbeat monitoring and measured the reduction in "zombie connections"
- Implemented the message queue and tracked message delivery success rates
- Built dashboards and shared them with the broader engineering and support teams
Results
- 99.9% connection reliability — up from approximately 97%, measured over a 90-day window
- Reconnection time dropped from 30s average to under 2s — users barely noticed interruptions
- 70% reduction in connectivity-related support tickets within the first quarter after rollout
- Real-time observability — engineering and support teams could diagnose issues in minutes instead of hours
Key Outcomes
- Achieved 99.9% connection reliability for real-time messaging
- Reduced reconnection time from 30s to under 2s
- Built Splunk dashboards providing real-time observability
- Decreased support tickets related to connectivity by 70%