Kubernetes

Kubernetes#

Overview#

The ML Pack for Kubernetes gives visibility on all kubernetes components (nodes, runnings pods and containers, ...), in particular their status, health and topology relationships.

Prerequisites#

The collector uses two configuration templates:

Kubernetes Inventory, that talks to the kubernetes API, to generate metrics derived from the state of the following Kubernetes resources (daemonsets, deployments, endpoints,ingress,nodes, persistentvolumes, persistentvolumeclaims, pods (containers), services,statefulsets, resourcequotas, ...)
Kubernetes, that talks to the kubelet API using the /stats/summary endpoint to gather metrics about the running pods and containers for a single host. It is assumed that this plugin is running as part of a daemonset within a kubernetes installation. This means that the collector is running on every node within the cluster. Therefore, you should configure this collector to talk to its locally running kubelet.

Configuration#

Go in Configuration Management.

Click on the + button to add a new configuration.

Select the templates Kubernetes and Kubernetes Inventory. Select the Collector on which you want this configuration to be deployed; and provide a Configuration Name that is meaningful for you. The Description is optional.

In the template, enter the correct settings for your Kubernetes instance(s). Other configuration options are possible. Browse the template to discover them.

Once done, click Apply to start the monitoring.

Metrics#

Kubernetes Cluster
Kubernetes Service
Kubernetes Deployment
Kubernetes Daemonset
Kubernetes Endpoint
Kubernetes Node
Kubernetes Pod Container
Kubernetes Pod Volume
Kubernetes Pod Network