Kubernetes/Container Engine Visualizer

This is a simple visualizer for use with the Kubernetes API.

Usage:

• First install a Kubernetes or Container Engine Cluster or minikube
• git clone https://github.com/raghur/gcp-live-k8s-visualizer.git
• kubectl proxy --www=path/to/gcp-live-k8s-visualizer

That's it. The visualizer uses labels to organize the visualization. In particular it expects that

• pods, replicationcontrollers, and services have a name label, and pods and their associated replication controller share the same name, and
• Uses the run label to create the visualization.
• Only picks up services that have a run label
• the pods in your cluster will have a uses label which contains a comma separated list of services that the pod uses.

I also threw in a button to let you control auto-refresh (default is on)

Installation on AWS:

• First install a Kubernetes Cluster

• On EC2 instance running the client (kubectl), install a proxy. We will be using HAProxy listening on port 80 for this guide.

• sudo wget http://www.haproxy.org/download/1.6/src/haproxy-1.6.3.tar.gz

• sudo tar -xvf haproxy-1.6.3.tar.gz

• cd ./haproxy-1.6.3

• sudo make TARGET=linux2628 USE_PCRE=1 USE_OPENSSL=1 USE_ZLIB=1

• Create the following configuration file in /etc/haproxy.cfg:

global
    daemon
    maxconn 256

defaults
    mode http
    timeout connect 5000ms
    timeout client 50000ms
    timeout server 50000ms

frontend http-in
    bind :80
    default_backend proxy-backend


backend proxy-backend
    server proxy 127.0.0.1:8001

* Startup the proxy:
 ```
 sudo ./haproxy -f /etc/haproxy.cfg
 ```
* Startup kubernetes proxy by doing the following:
* Get api server location, username, and password from kubernetes:
 ```
kubectl config view

• Create kubernetes proxy: ``` kubectl proxy --www=path/to/k-visualizer/gcp-live-k8s-visualizer --username=admin --password= --accept-hosts="" --server="" &

* Access visualizer via Public IP of EC2 instance on which you created it:
 ```
http://<public ip>/static/