InfoQ - Temporal Patterns https://www.infoq.com InfoQ Temporal Patterns feed Netflix Moves Toward Open Source Flink Autoscaler for 30,000+ Streaming Jobs https://www.infoq.com/news/2026/09/netflix-flink-autoscaler/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Temporal+Patterns <img src="https://res.infoq.com/news/2026/09/netflix-flink-autoscaler/en/headerimage/generatedHeaderImage-1787937137575.jpg"/><p>Netflix is moving toward the open-source Apache Flink Autoscaler for more than 30,000 streaming jobs across multiple AWS regions. The operator-level approach addresses limitations of Netflix’s cluster level autoscaler for complex, stateful pipelines. Netflix reports a 58% reduction in annualized Flink compute expenditure for one team, saving approximately $1.1 million annually.</p> <i>By Leela Kumili</i> Event Stream Processing Optimization Apache Kafka Scalability Clusters Distributed Systems Cloud Computing Kubernetes Apache Temporal Patterns Spring Boot Apache Flink Data Pipelines Kubernetes Operator Architecture & Design Development DevOps news Mon, 07 Sep 2026 14:06:00 GMT https://www.infoq.com/news/2026/09/netflix-flink-autoscaler/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Temporal+Patterns Leela Kumili 2026-09-07T14:06:00Z /news/2026/09/netflix-flink-autoscaler/en