How many concurrent rooms we can have in Livekit?

According to LiveKit documentation, LiveKit can support a large number of concurrent rooms in a distributed setup. However, each room must fit on a single node, which means the number of participants in a room is limited by the capacity of that node. There is no explicit limit on the number of concurrent rooms mentioned, but practical constraints will depend on your server's capacity and configuration. Would you like more details on how to configure your setup for optimal performance? Sources: - Distributed Setup | LiveKit Docs 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

Sure thing, can you explain in detail how can I setup this thing in optimal way

To set up LiveKit for optimal performance, especially for handling a large number of concurrent rooms, you should consider the following steps: 1. Distributed Setup: As per the LiveKit Distributed Setup documentation, configure LiveKit in a distributed mode using Redis as a shared data store and message bus. This allows LiveKit to manage multiple nodes, enabling it to handle a large number of concurrent rooms efficiently. 2. Node Configuration: Each node in the cluster should be configured to handle the maximum number of participants per room that your hardware can support. This involves setting up the nodes with sufficient CPU and memory resources. Compute-optimized instances are recommended for better performance. 3. Multi-Region Deployment: Deploy LiveKit across multiple data centers to allow users to connect to the nearest server, reducing latency. Use a region-aware, load-aware node selector to manage connections efficiently. 4. Load Balancing: Implement load balancing to distribute the traffic evenly across nodes. This can be achieved using a geo or latency-aware DNS service to direct users to the closest load balancer, which then connects them to the appropriate LiveKit instance. 5. Connection Draining: Enable connection draining to gracefully handle downscaling. This ensures that active sessions are not disrupted when nodes are being terminated. 6. Monitoring and Scaling: Continuously monitor the system's performance and scale the number of nodes based on demand. Use tools like Prometheus for monitoring and set up alerts for any performance bottlenecks. 7. Configuration File: Use a configuration file for production deployments to manage settings like port numbers, log levels, and Redis configurations. This can be done using the

--config

flag or the

LIVEKIT_CONFIG

environment variable. 8. Security and Networking: Ensure that your deployment is secure by using SSL certificates and configuring firewalls appropriately. Use TURN servers to improve connectivity for users behind restrictive firewalls. By following these steps, you can optimize your LiveKit setup to handle a large number of concurrent rooms efficiently. Sources: - Distributed Setup | LiveKit Docs 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.