In this tutorial, I will show you how to setup a monitoring stack for your infrastructure. So you can collects data from your , , and other kinds of so you can analyze it for trends or problems. servers docker containers network devices Note: All templates are available on my . Github 1 — How it works ? 1.1 — Telegraf Data collector written in for collecting, processing, and aggregating and writting metrics. Its a plugin driven tool, we will use a few plugins while implementing our use case. Go 1.2 — InfluxDB Scalable time series database for metrics, events and real-time analytics. 1.3 — Grafana Data visualization and exploration tool. It lets you create graphs and dashboards based on data from various data sources ( , , , …) InfluxDB Prometheus Elasticsearch Cloudwatch 2 — Setup Clone the repository: |git clone https://github.com/mlabouardy/telegraf-influxdb-grafana.git To start all of these containers I’m using : docker-compose The docker-compose bring up 3 containers: 1 — Influxdb: Due to the nature of containers. We exposed the data folder to our host system. So our data wont disappear if the container restarts or is stopped. ephemeral InfluxDB The port mapping contains 3 port: : this is the administration web server’s port, you can open the admin page by 8083 http://localhost:8083 : this is the endpoint port, it’s used to send query to Influxdb by 8086 HTTP API Telegraf 2 — Grafana The port is the default web server port. 3000 We used docker’s feature to link container with our container, so can connect to and query data from it. link Grafana Influxdb Grafana Influxdb 3 — Telegraf collect metrics from “ ” plugins, parse it to the correct format then send it to “ ” plugins. There is a lot of input and output plugins, you just have to activate them in the : Telegraf input output Telegraf configuration file Here I’m using the plugin to fetch all the stats from the docker daemon (resource usage per container) and plugin to pull server metrics (Disk, CPU, RAM …) Docker input System input To start all of these services, we will use : docker-compose If you type “, you should see the : “docker ps TIG containers 3 — Configure Point your browser to you should see , http://SERVER_IP:3000 Grafana Dashboard: The default credential is with admin. You will want to change this as soon as you can. admin password Now we need to create an pointing to the container. Influxdb datasource InfluxDB 3.1 — VM Data Source We configure to pull data from database: Grafana vm_metrics 3.2 — Docker Data Source Then we create another data source to fetch data from database. docker_metrics Once that is completed, you are ready to start creating dashboards. 4 — Dashboards On the top left menu, click on “ ” then click on “ “: Add a new Dashboard Add a panel 4.1 — VM 4.1.1 — Memory 4.1.1 — Disk 4.1.3 — CPU 4.1.4 — Network All graphs combined: 4.2 — Docker 4.2.1- Create Container Filter In order to filter our data by container name, we will use a concept in Grafana called Templating which makes our Dashboard more interactive and dynamic. Therefore we won’t hard-code the name of the container in the metric query but instead we will use a variable. So to create a variable, click on then “ “: settings icon, Templating Click on “ ” and fill the fields as described below: New Once created, now the variable is shown as dropdown select boxes at the top of the dashboard. This dropdown make it easy to change the data being displayed in your dashboard. Now our filter is created, we can jump to create our first graph: 4.2.1 — Memory Here is a screenshot of the result:
