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How Uber manages a million writes per second


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Curious about how Uber powers a global platform that processes millions of data points every second? We dive deep into the technology that makes it possible: from Apache Mesos’ dynamic resource management to Cassandra’s high-speed data storage and Kafka’s real-time data streaming. Discover how Uber’s architecture handles massive demand with low latency and high resilience, and what it takes to keep this system running smoothly across multiple data centers worldwide. Tune in to explore the fascinating, behind-the-scenes tech that drives one of the world’s largest and most innovative real-time platforms!

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slys.devBy Jakub Slys