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System design interview question

Design a Distributed Job Queue and Task Scheduling System like Airbnb's Chronos at Scale

MediumHLDHLD practice

Design a fault-tolerant, distributed job queue and task scheduler that handles millions of recurring and one-time jobs across a global infrastructure. The system must support 50K job submissions per second, execute tasks across 1000+ worker nodes in multiple regions, guarantee at-least-once execution semantics, handle job dependencies and retries with exponential backoff, and provide sub-second scheduling latency for time-sensitive tasks. Key constraints include maintaining strong consistency for job state transitions, supporting heterogeneous task types (batch, streaming, real-time), managing resource allocation and prioritization across competing jobs, and providing observability/debugging for failed executions. Design the control plane, worker orchestration, state management, and failure recovery mechanisms.

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Distributed SystemsJob SchedulingMessage QueuesConsensus AlgorithmsResource ManagementFault ToleranceState ManagementMonitoring

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