To scale up your voice assistant for increased traffic and numbers, here are the steps you can take: 1. Leverage LiveKit Cloud's Autoscaling: LiveKit Cloud automatically scales based on demand, ensuring your voice assistant can handle thousands of concurrent calls without manual intervention. 2. Set Up Autoscaling Strategies: Monitor metrics like CPU utilization and configure your autoscaler to scale up at a lower threshold than your worker's load threshold for smooth service continuity. 3. Use Load Balancing and Worker Pools: Deploy your voice assistant using a worker pool model. LiveKit automatically load balances traffic across available workers, allowing you to scale by adding more worker instances. 4. Optimize for Global Traffic: LiveKit Cloud's multi-home architecture ensures users connect to the nearest server, minimizing latency and improving performance globally. 5. Ensure Redundancy and Reliability: LiveKit Cloud handles failures with layers of redundancy, including automatic traffic migration in case of data center failures. 6. Monitor and Adjust Scaling Limits: LiveKit Cloud supports up to 100,000 simultaneous participants per session. If you expect to exceed this, you can request a limit increase through the Cloud dashboard. By implementing these strategies, you can effectively scale your voice assistant to handle increased traffic and provide a reliable experience for users worldwide. Sources: Building the all-in-one platform for voice AI agents