Tags: leader election* + fault tolerance* + job scheduler* + rate limiting*

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  1. This article dives into designing a scalable distributed job scheduling service that can handle millions of tasks. It covers system components, API design, scaling strategies, handling failures, and addressing single points of failure.

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