Announcing KEDA-based auto-scaling for Temporal Workers

KEDA's latest version 2.17.0 introduces the Temporal Worker scaler, enabling event-driven autoscaling for Temporal workers in Kubernetes environments. This feature allows dynamic scaling of Temporal workers based on Task Queue backlogs, providing cost efficiency by reducing infrastructure costs during low workloads and maintaining high throughput during traffic spikes. The integration, developed with contributions from the Temporal community and KEDA maintainers, is ideal for unpredictable workloads such as e-commerce and IoT data processing. A demo, based on Temporal's Order Management System, showcases the auto-scaling capabilities by adjusting Temporal Worker pods in real-time according to Task Queue activity, ensuring efficient workflow processing. The demo environment is available with necessary components, and the initiative highlights community contributions from individuals who played significant roles in its development, testing, and implementation.

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