What this pattern does:

This design demonstrates how to automatically scale your Google Kubernetes Engine (GKE) workloads based on Prometheus-style metrics emitted by your application. It uses the [GKE workload metrics](https://cloud.google.com/stackdriver/docs/solutions/gke/managing-metrics#workload-metrics) pipeline to collect the metrics emitted from the example application and send them to [Cloud Monitoring](https://cloud.google.com/monitoring), and then uses the [HorizontalPodAutoscaler](https://cloud.google.com/kubernetes-engine/docs/concepts/horizontalpodautoscaler) along with the [Custom Metrics Adapter](https://github.com/GoogleCloudPlatform/k8s-stackdriver/tree/master/custom-metrics-stackdriver-adapter) to scale the application.

Caveats and Consideration:

Add your own custom prometheus to GKE for better scaling of workloads


Recent Discussions with "meshery" Tag