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1. Design a Distributed Job Scheduler - System Design Interview

   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.

   2024-09-13 Tags: production engineering, distributed system, job scheduler, scalability, high availability, fault tolerance, job queue, leader election, rate limiting, system architecture by klotz
2. Why Is Redis a Distributed Swiss Army Knife?

   The use cases covered in the article include caching, queueing, locking, throttling, session store, and rate limiting.

   2024-06-20 Tags: redis, in-memory data structure store, caching, queueing, locking, throttling, session store, rate limiting, distributed systems, cloud, store, production engineeringsorted sets, hyperloglog, pub-sub, geospatial, time series, list, redis search, redis json by klotz

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