--- title: "Production Tuning for Temporal Workers at Scale" url: https://daily.dev/posts/production-tuning-for-temporal-workers-at-scale-1qzdsum1z source_url: https://www.youtube.com/watch?v=k-2QyQCYUIU type: video:youtube source: "Temporal" published: 2026-04-22T14:40:05.485Z updated: 2026-04-22T16:27:18.178Z tags: ["distributed-systems", "workflow-orchestration"] reading_time: 28 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Production Tuning for Temporal Workers at Scale **[Temporal](https://daily.dev/sources/temporal)** · 28 min read · 0 upvotes · 0 comments ## Summary A webinar covering how to tune and scale temporal workers in production. Marcus and Sam from temporal explain the core concepts of durable execution, how workers poll task queues and use sticky caching for performance, and then walk through the three main tuning knobs: compute (executor slots), memory (sticky workflow cache), and IO (task pollers). Key advice includes applying the theory of constraints to identify bottlenecks before scaling, since blindly adding workers can worsen problems like downstream API rate limits. Language-specific considerations are noted for Java (max workflow thread count) and TypeScript (V8 sandbox options). ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Tips for running Temporal on Kubernetes](https://daily.dev/posts/tips-for-running-temporal-on-kubernetes-mem9vstjm) · Temporal · 4 upvotes · 0 comments --- Tags: [#distributed-systems](https://daily.dev/tags/distributed-systems), [#workflow-orchestration](https://daily.dev/tags/workflow-orchestration) [View this post on daily.dev](https://daily.dev/posts/production-tuning-for-temporal-workers-at-scale-1qzdsum1z)