- Implement per-meeting locks using Redis to prevent concurrent processing
- Add lock extension after slow API calls (Whereby) to handle long-running operations
- Use redis-py's built-in lock.extend() with replace_ttl=True for simple TTL refresh
- Track and log skipped meetings when locked by other workers
- Document SSRF analysis showing it's low-risk due to async worker isolation
This prevents multiple workers from processing the same meeting simultaneously,
which could cause state corruption or duplicate deactivations.
