Monitoring Kubernetes cluster using Prometheus

1. Kasun Rajapakse
MCSA,MCSE,AWS SA, AWS Dev, AWS SysOps

2.  MCSA : Cloud Platform, MCSE, MCT, AWS SAA/Dev/SysOps
 Technical Consultant
 4+ Experience in Cloud & Server Technology
 OMS, SCOM, AWS, Azure & Windows Server
 Blog- http://www.allaboutwindowssl.com/
 Twitter : @kasunsjc
 LinkedIn : http://www.linkedin.com/in/kasunraj

3.  Inspired from Google Borgmon monitoring system
 Open-source systems monitoring and alerting toolkit originally built
at SoundCloud
 Mainly written in GO, Publicly launched in 2016
 Open source monitoring and alerting system.
 Used by Docker, Digital Ocean etc.

4.  Multi dimensional data model (time series data)
 Powerful Queries
 Precise Alerting
 Pull model over HTTP
 Scalable
 Dashboards
 Efficient

5.  The main Prometheus server which scrapes and stores time series data
 Client libraries for instrumenting application code
 A push gateway for supporting short-lived jobs
 Special-purpose exporters for services like HAProxy, StatsD, Graphite, etc.
 An alertmanager to handle alerts
 various support tools

7.  Can multiply, join, add, aggregate in same query
 Can evaluate current as well as backdated data
 The result of an expression can either be shown as a graph, viewed as tabular
data in Prometheus's expression browser

8. # Install Using HELM
helm install coreos/prometheus-operator --name prometheus-operator --namespace
monitoring --set rbacEnable=false
helm install coreos/kube-prometheus --name kube-prometheus --set
global.rbacEnable=false --namespace monitoring