Best practices for handling high-frequency Calendly webhooks and managing API rate limits during peak scheduling periods

Hi Calendly Developer Community,

We are currently integrating Calendly webhooks and REST APIs into our custom backend workflow system to automatically handle event scheduling triggers, invitee status updates, and calendar synchronization.

As user activity grows and scheduling volume spikes during peak hours, we want to ensure our infrastructure handles incoming webhook payloads reliably without running into rate-limiting bottlenecks or dropped event packets.

- For developers managing high-volume Calendly webhook integrations, what are the best practices for setting up retry logic, queue management, and server-side validation (like signature verification) to keep data secure and efficient?
- Are there specific error-handling patterns you recommend when an external endpoint temporarily fails to respond to a webhook trigger?

Would appreciate any technical insights or architectural tips from fellow developers!