Production Tuning for Temporal Workers at Scale

When you first implement Temporal, a single worker gets you moving fast. But as your workflows grow to span teams, systems, and security boundaries, that default setup quietly both a performance bottleneck and a security risk.

This session tackles both sides of production-ready worker configuration: how to optimize throughput through thoughtful task queue design, thread tuning, and rate limiting–and also how to structure workers so that credentials, secrets, and sensitive system access stay properly isolated. You’ll leave with the right questions to ask, the anti-patterns to avoid, and a practical framework for evolving your worker architecture as your Temporal footprint grows.

Key takeaways
- Understand why a single-worker deployment becomes both a performance bottleneck and a security liability as your Temporal footprint grows.
- Know how to structure workers across task queues to optimize throughput, manage thread counts, and apply rate limiting effectively.
- Learn how to isolate credentials and secrets through worker architecture decisions, not just application-level controls.
- Leave with a framework for evaluating your current worker setup and a clear set of questions to drive the next conversation with your team.

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Temporal is the simple, scalable, open source way to write and run reliable cloud applications. 

Learn more
Blog: https://temporal.io/blog
How Temporal Works: https://temporal.io/how-temporal-works
Community Slack: https://temporal.io/slack

Developer resources
Docs: https://docs.temporal.io
Courses: https://learn.temporal.io/courses
Support forum: https://community.temporal.io