Scale Job Triggering with a Distributed Scheduler

Learn how to effectively manage and scale job scheduling in distributed systems through this 33-minute conference talk from CNCF. Explore solutions for scheduling thousands to millions of persisted jobs with precise timing and downtime resilience, from frequent second-by-second triggers to reliable monthly executions. Discover how Dapr's distributed Scheduler extends traditional cron capabilities, handles high-throughput scheduling with minimal downtime, and addresses scaling challenges. Gain practical insights into implementing Dapr's Scheduler to enhance actor and workflow scalability, while enabling advanced features like delayed pubsub and scheduled job APIs.