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Benchmarking Apache Samza: 1.2 million messages per second on a single node

Apache Samza has been run in production and is used by many LinkedIn services to solve a variety of stream processing scenarios. For example, we use it for application and system monitoring, or to track user behavior for improving feed relevance. The objective of this study was to measure Samza's pe



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Benchmarking Apache Samza: 1.2 million messages per second on a single node

https://engineering.linkedin.com/performance/benchmarking-apache-samza-12-million-messages-second-single-node

Apache Samza has been run in production and is used by many LinkedIn services to solve a variety of stream processing scenarios. For example, we use it for application and system monitoring, or to track user behavior for improving feed relevance. The objective of this study was to measure Samza's pe



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https://engineering.linkedin.com/performance/benchmarking-apache-samza-12-million-messages-second-single-node

Benchmarking Apache Samza: 1.2 million messages per second on a single node

Apache Samza has been run in production and is used by many LinkedIn services to solve a variety of stream processing scenarios. For example, we use it for application and system monitoring, or to track user behavior for improving feed relevance. The objective of this study was to measure Samza's pe

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