Netflix transitioned from using the Meson orchestrator to Maestro due to scalability issues with the growing volume of data and workflows. Maestro, built with a distributed microservices architecture, efficiently manages large-scale workflows with high reliability and low operational overhead. It supports dynamic workflows,

16m read timeFrom blog.bytebytego.com
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WorkOS + MCP: Authentication for AI Agents (Sponsored)AI-assisted coding is faster. But is it safe? (Sponsored)Maestro ArchitectureScalability Techniques for MaestroMaestro Execution AbstractionsMaestro DSL InterfaceAggregated View and RollupEvent PublishingConclusionSPONSOR US

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