15. Monitoring and Autoscaling in Kubernetes
Overview
This chapter will introduce you to how Kubernetes enables you to monitor your cluster and workloads, and then use the data collected to automatically drive certain decisions. You will learn about the Kubernetes Metric Server, which aggregates all cluster runtime information, allowing you to use this information to drive application runtime scaling decisions. We will walk you through setting up monitoring using the Kubernetes Metrics server and Prometheus and then use Grafana to visualize those metrics. By the end of this chapter, you will also have learned how to automatically scale up your application to completely utilize the resources on the provisioned infrastructure, as well as ...
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