Announcing KEDA-based auto-scaling for Temporal Workers

What this post added

This post announces the integration of KEDA (Kubernetes-based Event-Driven Autoscaling) with Temporal Workers. It details how KEDA's Temporal scaler can dynamically scale the number of Temporal worker pods based on the size of the Task Queue backlog. This provides benefits such as cost efficiency (scaling to zero), high throughput during traffic spikes, and operational simplicity. A demo application using the Order Management System (OMS) reference app is provided to showcase this functionality, visualizing Task Queue backlogs and worker pod scaling in real-time.