Distributed Task Scheduler
A high-performance distributed task scheduler built with Go, capable of handling millions of scheduled tasks with fault tolerance and horizontal scalability. Overview Built to solve the problem of reliably scheduling and executing tasks across a distributed system. Provides exactly-once execution guarantees and automatic failover. Features High Throughput: Process 100k+ tasks per second Fault Tolerant: Automatic failover and task reassignment Flexible Scheduling: Cron expressions, one-time, and recurring tasks Priority Queues: Execute critical tasks first Monitoring: Real-time metrics and alerting Technical Highlights Architecture Leader election using Raft consensus Sharding for horizontal scalability Message queue for task distribution State management with PostgreSQL Performance Optimizations Connection pooling and reuse Batch processing for database operations In-memory caching with Redis Worker pool with dynamic sizing Metrics Latency: P99 < 50ms for task submission Availability: 99.
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