100X Faster: How We Supercharged Netflix Maestro’s Workflow Engine
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Netflix redesigned their Maestro workflow orchestrator engine, achieving 100x performance improvement by replacing the stateless worker model with a stateful actor-based architecture using Java virtual threads. The new design reduces overhead from seconds to milliseconds, maintains in-memory state for better locality,
Table of contents
TL;DRIntroductionArchitectural Evolution of MaestroNew Flow Engine OptimizationFrom Stateless Worker Model to Stateful Actor ModelGet Netflix Technology Blog’s stories in your inboxTesting, Validation and RolloutConclusionAcknowledgementsSort: