Follow instructions in this repo to create a {1 master, 1 worker} Nodeless Kubernetes cluster.
Log on to Kubernetes master, verify cluster is up.
https://gist.github.com/7c1558bc3bbc259e49795ddf12b61ae3
https://gist.github.com/7294922eba6687c717a826f3c095adc5
Create a 250GiB EBS volume in the same Availability Zone as your kubernetes cluster.
Insert volume-id of EBS volume in the manifest. https://gist.github.com/4ea760a4ef1f09a1309ed9ef76f3ef0f
Create {Prometheus, kube-state-metrics, Grafana} stack. https://gist.github.com/32d992f5263fa7e1f26c41b69ed152b5
Wait until all components of monitoring namespace are up and running.
https://gist.github.com/a6e816305df7e3ac7184a077b80dd1ab
Our cluster now has following components.
Note: Stateful application Prometheus is deployed on the worker node, and stateless applications {Grafana, kube-state-metrics} are deployed via Nodeless fashion. Once persistent state support is available in Nodeless k8s, Prometheus will be deployed in Nodeless way as well.
Get external loadbalancer address for Grafana service and access Grafana through a web browser.
https://gist.github.com/1c10df6e646efa5540ca22f86a8904cb
Create Datasource for Prometheus called DS_Prometheus with http url set to http://prometheus-service:8080 since Grafana and Prometheus are running in the same k8s cluster.
Import Grafana dashboard 11124.
There are 3 Compute Cells in our cluster running {Grafana, kube-state-metrics} and a system pod.
Deploy Nginx deployment with 3 replicas.
https://gist.github.com/df2ff90b991c40e207250681874a939f
Our cluster now has the following components.
Grafana dashboard will reflect metrics from the 3 Nginx replicas running in just-in-time provisioned compute cells bumping up our cell count from 3 to 6.
