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Creation of Swarm Cluster

Spin of three Virtual Machines with Ubuntu 16.0 OS. (Can it be tested on CentOS as well)

Install docker and docker compose in all the virtual machines

    Create a dockerinstall.sh

	#!/bin/bash

	apt-get update
	apt-key adv --keyserver hkp://p80.pool.sks-keyservers.net:80 --recv-keys 58118E89F3A912897C070ADBF76221572C52609D
	apt-add-repository "deb https://apt.dockerproject.org/repo ubuntu-xenial main"
	apt-get update
	apt-get -y install docker-engine
	systemctl enable docker
	apt-get -y install python-pip
	pip install docker-compose
	
	Make the script executable
	
	$chmod u+x dockerinstall.sh
	
	Run the script
	
	./dockerinstall.sh

Clone the project

$git clone https://[email protected]/experiencedevops/swarm-monitoring-grafana.git

Create the directory for volume mapping

$mkdir /var/dockerdata/prometheus
$mkdir /var/dockerdata/prometheus/data
$mkdir /var/dockerdata/prometheus/rules

Copy the prometheus configuration files to /var/dockerdata/prometheus

$mv /swarm-monitoring-grafana/configs/prometheus.yml /var/dockerdata/prometheus/

Initiate Docker Swarm

$docker swarm init --advertise-addr MASTERNODE_PUBLIC_IP

The above command produces joining token to be used in worker nodes to join the swarm cluster.

Check the nodes in the swarm

$docker node ls

Create the networks

$ docker network create -d overlay monitoring
$ docker network create -d overlay logging

Deploy the application stack

$cd app_stack
$docker stack deploy -c docker-compose.yml appstack

Deploy the monitoring stack

$cd monitoring_stack
$docker stack deploy -c docker-compose.yml monitoring_stack

Check the stack

$docker stack ps appstack
$docker stack ps monitoring_stack

Grafana Configuration Access Grafana in the browser by hitting http://MASTERNODE_PUBLIC_IP:3000

Add Prometheus datasource DataSource Name : Prometheus Choose connection type : Prometheus URL : http://MASTERNODEIP:9090 Access : Direct Click Save & Test

Add New Dashboard Import the docker-swarm-container-overview_rev23.json Choose "Prometheus" as the datasource Click on Save