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---
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description: >-
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If you wish to deploy Grafana for alternative graphs, follow the steps below.
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---
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# Using Ultrafeeder with Grafana and Prometheus
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[`Grafana`](https://grafana.com/) is an analytics platform that can provide alternative graphs for `readsb`.
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In this guide we will be using [`Prometheus`](https://prometheus.io/) as the data repository.
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Using Grafana and Prometheus in this configuration does not require a plan, account, or credentials for their respective cloud offerings.
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## Hardware requirements
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Prometheus will store a lot of data, and Grafana will do a lot of data queries. As a result, it would be better if you run these containers on a different system than your feeder Raspberry Pi. This will leave your Pi focused on data collection and processing, and unbothered by the CPU and Disk IO load that Prometheus/Grafana will cause.
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You *can* do it on a single system. We're assuming below that you are not. If you do it on a single system, then you can combine the `docker-compose.yml` components in a single file
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## Step 1: Make Prometheus data available for the Ultrafeeder
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- Edit your Ultrafeeder's `docker-compose.yml` file and ensure that the following is set for the `ultrafeeder` service:
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```yaml
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environment:
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- PROMETHEUS_ENABLE=true
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ports:
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- 9273-9274:9273-9274
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```
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Now recreate the ultrafeeder container (`docker-compose up -d ultrafeeder`) and it will generate Prometheus data.
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## Step 2: create a container stack for `prometheus` and `grafana`
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On the machine where you will run Prometheus and Grafana, create a docker-compose file in the `/opt/grafana` directory:
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```bash
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mkdir -p -m777 /opt/grafana && cd /opt/grafana
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cat > docker-compose.yml
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```
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Now paste in the following text:
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<details>
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<summary>Click the arrow to see the `docker-compose.yml` text</summary>
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```yaml
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version: '3.9'
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services:
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grafana:
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image: grafana/grafana-oss:latest
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restart: unless-stopped
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container_name: grafana
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hostname: grafana
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tty: true
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# uncomment the following section and set the variables if you are exposing Grafana to the internet behind a rev web proxy:
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# environment:
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# - GF_SERVER_ROOT_URL=https://mywebsite.com/grafana
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# - GF_SERVER_SERVE_FROM_SUB_PATH=true
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ports:
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- 3000:3000
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volumes:
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- /opt/grafana/grafana/appdata:/var/lib/grafana
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prometheus:
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image: prom/prometheus
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container_name: prometheus
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hostname: prometheus
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restart: unless-stopped
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tmpfs:
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- /tmp
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volumes:
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- /opt/grafana/prometheus/config:/etc/prometheus
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- /opt/grafana/prometheus/data:/prometheus
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ports:
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- 9090:9090
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```
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</details>
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Once you have created and saved this `docker-compose.yml` file, give these commands to create the mapped volumes:
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```bash
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docker compose up -d
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docker compose stop prometheus
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docker compose stop grafana
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```
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Now, you should be able to see the following directories:
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- `/opt/grafana/grafana/appdata`
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- `/opt/grafana/prometheus/config`
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- `/opt/grafana/prometheus/data`
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## Step 3: Configuring Prometheus
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Prometheus needs to be told where to look for the data from the ultrafeeder. We will create a target prometheus configuration file that does this, please copy and paste the following:
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```bash
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sudo touch /opt/grafana/prometheus/config/prometheus.yml
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sudo chmod a+rwx /opt/grafana/prometheus/config/prometheus.yml
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cat > /opt/grafana/prometheus/config/prometheus.yml <<EOF
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global:
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scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
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evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
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alerting:
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alertmanagers:
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- static_configs:
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- targets:
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rule_files:
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scrape_configs:
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# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
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- job_name: "prometheus"
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static_configs:
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- targets: ["localhost:9090"]
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- job_name: 'readsb'
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static_configs:
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- targets: ['ip_of_ultrafeeder_machine:9273', 'ip_of_ultrafeeder_machine:9274']
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EOF
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```
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Make sure to change `ip_of_ultrafeeder_machine` to the IP address or hostname of your ultrafeeder machine.
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Once the file has been updated, issue the command `docker compose up -d` in the application directory to apply the changes and bring up the `prometheus` and `grafana` containers.
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At this point we will need to add a collector definition to `prometheus` and restart with the new configuration.
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1. Issue the command `docker exec -it prometheus sh -c "echo -e \" - job_name: 'readsb'\n static_configs:\n - targets: ['readsb:9273']\" >> /etc/prometheus/prometheus.yml"`
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2. Issue the command `docker stop prometheus`
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3. Issue the command `docker compose up -d`
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You should also be able to point your web browser at:
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* `http://docker.host.ip.addr:9090/` to access the `prometheus` console.
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* `http://docker.host.ip.addr:3000/` to access the `grafana` console, use admin/admin as initial credentials, you should be prompted to change the password on first login.
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Remember to change `docker.host.ip.addr` to the IP address of your docker host.
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## Configuring data source and dashboard in Grafana
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After you have logged into the `grafana` console the following manual steps are required to connect to `prometheus` as the data source
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1. Click `Add your first data source` in the main panel
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2. Click `Prometheus` from the list of options provided
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3. Input or select the following options, if the option is not listed, do not input anything for that option:
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Option | Input
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------------- | -------------
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Name | readsb
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URL | http://prometheus:9090/
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Clicking `Save & Test` should return a green message indicating success. The dashboard can now be imported with the following steps
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1. Hover over the `four squares` icon in the sidebar, click `+ Import`
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2. Enter `18398` into the `Import via grafana.com` section and click `Load`
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3. Select `readsb` from the bottom drop down list
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4. Click `Import` on the subsequent dialogue box
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At this point you should see a very nice dashboard, you can find it under `General` in the `Dashboards` section.
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