Tag: autoscaling

Imaya Kumar Jagannathan, TP Kohli, and Michael Hausenblas In Using Prometheus Metrics in Amazon CloudWatch we showed you how to use the beta version of the Amazon CloudWatch supporting the ingestion of Prometheus metrics. Now that we made this feature generally available we explore its benefits in greater detail and show you how to use […]

Introduction In a Kubernetes cluster, the Horizontal Pod Autoscaler can automatically scale the number of Pods in a Deployment based on observed CPU utilization and memory usage. The autoscaler depends on the Kubernetes metrics server, which collects resource metrics from Kubelets and exposes them in Kubernetes API server through Metrics API. The metrics server has […]

This is a guest post by Stefan Prodan of Weaveworks. Autoscaling is an approach to automatically scale up or down workloads based on the resource usage. In Kubernetes, the Horizontal Pod Autoscaler (HPA) can scale pods based on observed CPU utilization and memory usage. Starting with Kubernetes 1.7, an aggregation layer was introduced that allows third-party […]