Keda with Prometheus: Scaling Kubernetes Applications Using Custom Metrics

Explore how to scale Kubernetes applications using custom metrics with Keda and Prometheus in this informative conference talk. Learn about the limitations of native Kubernetes Horizontal Pod Autoscaler (HPA) and discover how Keda can leverage custom application metrics for more effective autoscaling. Gain insights into using saturation metrics like connection count, latency, and buffer length to trigger autoscaling. Follow along as the speakers demonstrate Keda's capabilities, including its ability to work with secure Prometheus remote endpoints. Understand how to implement advanced autoscaling strategies to handle sudden traffic spikes, such as those experienced during high-demand events like Black Friday, and prevent application downtime that could result in significant financial losses.