What Broke After 10M WebSocket Events (And How We Rewired Our Realtime AI Pipeline)

1. 1Identify bottlenecks in your current pipeline using monitoring tools
2. 2Implement load balancing to distribute the workload
3. 3Optimize database queries to reduce latency
4. 4Use caching mechanisms to reduce the load on your database
5. 5Implement a message queue to handle high volumes of WebSocket events

DevOps and software engineering teams can benefit from this article to improve the scalability of their real-time AI pipelines

💡 Scalability issues can be addressed by identifying bottlenecks, implementing load balancing, and optimizing database queries

💡 Optimize your real-time AI pipeline after hitting 10M WebSocket events! Identify bottlenecks, implement load balancing, and use caching mechanisms #RealtimeAI #Scalability