Monitoring cluster components of Kubernetes (K8s) There are various type of monitoring we can perform at the cluster, node level and pod level. At cluster level we can monitor like number nodes running, how many are healthy, performance status, network usage etc. At the POD level we can monitor disk and cpu, memory utilisation, Performance metrics of each POD about its resources. To utilise the experience of monitoring on kubernetes cluster we can use “ Metrics server ” We can have 1 metrics server per cluster. It's retrieves the information about Nodes , PODS aggregate them and store them into memory. Matrics server is IN-MEMORY solution where the data or information which it fatch from nodes and pod will be in memory and does not store it in disk. As Metrics server is " IN-MEMORY " where it's not possible to retrieve the historical data about the kubernetes resources. To get the historical data its require to use...