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...

What Is Kubernetes..... Running a container on a laptop is relatively simple. But, connecting containers across multiple hosts, scaling them, deploying applications without downtime, and service discovery among several aspects, can be difficult.                                             Kubernetes is the one which addresses those challenges from the start with a set of primitives and a powerful open and extensible API. The ability to add new objects and controllers allows easy customization for various production needs.  According to the  kubernetes.io  website, Kubernetes is:  "an open-source system for automating deployment, scaling, and management of containerized applications".  Kubernetes is that it builds on 15 years of experience at Google in a project called borg.   Kubernetes is in...