Performance analytics UI for Kubernetes Clusters.

The goal of Kubedash is to allow the user or an administrator of a Kubernetes cluster to easily verify and understand the performance of a cluster and jobs running within it through intuitive visualizations of aggregated metrics, derived stats and event patterns. It is not intended to be a general-purpose Kubernetes UI. Instead, kubedash uses multiple sources of information to summarize and provide high-level analytic information to users and to the cluster administrator.

Some of the current features are:

• Resource utilization views of Cluster, Nodes, Namespaces, Pods and Containers for the past 1 hour.
• Derived stats for each resource over the past 1 day.
• Indications of containers with no resource limits.

Future features include the following:

• Recommendations of resource limits for individual containers.
• Detecting and highlighting resource starvation in a cluster.
• Detecting and highlighting crash-looping and misbehaving containers.
• Support for other cluster management systems like CoreOS, Swarm, etc.

To use Kubedash, the following are required:

• A Kubernetes cluster of v1.0 or higher is operational and accessible from kubectl.
• Heapster v0.18.0 is running as the heapster service on the kube-system namespace.

After cloning this repository, use the following command to create the Kubedash pod:

kubectl create -f deploy/kube-config.yaml

To access the Kubedash UI, visit the following URL: https://<kubernetes-master>/api/v1/proxy/namespaces/kube-system/services/kubedash/ where <kubernetes-master> is the IP address of the kubernetes master node.

Kubedash is based on three components-

Heapster provides the data for Kubedash. Heapster runs as a service by default in all kubernetes clusters, collecting metrics and analytics for individual containers. The Heapster Model exposes aggregated metrics and statistics that are relevant for cluster-level analytics through a RESTful API.

Kubedash provides the other two pieces - a web server relaying REST calls, managing sockets and providing additional authentication and, a frontend to provide visualizations for the aggregated metrics and statistics of interest.

##License

The work done has been licensed under Apache License 2.0.The license file can be found here. You can find out more about license,at

http://www.apache.org/licenses/LICENSE-2.0