https://www.infoq.com InfoQ Cassandra feed https://www.infoq.com/news/2026/09/netflix-conductor-4-workflow/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Cassandra <img src="https://res.infoq.com/news/2026/09/netflix-conductor-4-workflow/en/headerimage/generatedHeaderImage-1787938102526.jpg"/><p>Netflix has reworked its Conductor workflow orchestration engine to handle larger workloads, increasing supported workflow size from about 2,500 to 30,000 tasks and reducing p99 workflow evaluation latency by about 40%. Conductor 4.0 separates workflow metadata from task data, moves evaluation to asynchronous processing, and introduces dynamic worker allocation and concurrency controls.</p> <i>By Leela Kumili</i> ElasticSearch Asynchronous Architecture Concurrency Workflow / BPM Cloud Architecture Windows Workflow Foundation Distributed Systems Workflow Foundation Netflix Apache Kafka S3 Java Operator SDK Scalability Cassandra Apache Iceberg Microservices Orchestration DevOps Development Architecture & Design news Fri, 11 Sep 2026 14:17:00 GMT https://www.infoq.com/news/2026/09/netflix-conductor-4-workflow/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Cassandra Leela Kumili 2026-09-11T14:17:00Z /news/2026/09/netflix-conductor-4-workflow/en