Send metrics to Cockpit using Grafana Alloy

The Grafana Alloy agent is a component used in observability and monitoring setups, to collect and send metrics, logs, and traces from your applications, services, and infrastructure to observability platforms, such as Cockpit.

This page explains how to configure the Grafana Alloy agent to push your metrics and visualize them in Grafana. You can use it to push your data from Scaleway resources or external/custom resources.

For the sake of this documentation, we are using Grafana Alloy on macOS. Refer to the official Grafana documentation to find the commands to use depending on your operating system of choice.

Before you start

To complete the actions presented below, you must have:

• Owner status or IAM permissions allowing you to perform actions in the intended Organization
• A Scaleway account logged into the console
• Retrieved your Grafana credentials
• Installed Grafana Alloy
• Created a custom data source of the metrics type
• A token with push permissions for metrics in the same region as your metrics

Configuring Grafana Alloy

1. Create a folder named config on your local machine.
2. Create a file named cockpit.alloy inside the config folder.
3. Paste the following template inside cockpit.alloy:

   prometheus.exporter.unix "node" {
       set_collectors = [
           "uname",
           "cpu",
           "cpufreq",
           "loadavg",
           "meminfo",
           "filesystem",
           "netdev",
       ]
   }
   prometheus.scrape "node" {
       scrape_interval = "60s"
       scrape_timeout  = "4s"
       targets    = prometheus.exporter.unix.node.targets
       forward_to = [prometheus.remote_write.cockpit.receiver]
   }
   prometheus.remote_write "cockpit" {
       endpoint {
           url = "https://xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx.metrics.cockpit.fr-par.scw.cloud/api/v1/push"
           headers = {
               "X-TOKEN" = "COCKPIT_TOKEN_SECRET_KEY",
           }
       }
   }
   

4. Replace https://xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx.metrics.cockpit.fr-par.scw.cloud/api/v1/push with your metrics’ URL. You can retrieve it in the Data sources tab of the Scaleway console.
5. Replace COCKPIT_TOKEN_SECRET_KEY with your Cockpit token’s secret key, then save your changes.
   Important

   Make sure that your token and your metrics data source were both created in the same region.

6. Open a terminal and start Alloy:

   brew services start alloy
   

7. In the same terminal, run the following command.

   alloy run config/cockpit.alloy
   

   The two last lines of your output should look similar to the following.

   ts=2024-06-27T14:23:05.542081Z level=info msg="now listening for http traffic" service=http addr=127.0.0.1:12345
   ts=2024-06-27T14:23:13.432896Z level=info msg="Done replaying WAL" component_path=/ component_id=prometheus.remote_write.cockpit subcomponent=rw remote_name=aa0551 url=https://xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx.metrics.cockpit.fr-par.scw.cloud/api/v1/push duration=12.900498616s
   

Visualizing your metrics

1. Click Cockpit in the Observability section of the console side menu. The Cockpit overview page displays.

2. Click Open dashboards to open your managed dashboards in Grafana. You are redirected to the Grafana website.

3. Enter your Grafana credentials.

4. Click Log in. The Grafana overview page displays.

5. Click Toggle menu.

6. Click Dashboards, then click New in the top right corner of your screen.

7. Click Import to import a dashboard.

8. In the Import via grafana.com field, enter 1860, then click Load

   Note

   1860 is the ID of the Node Exporter Full dashboard provided by Grafana.

9. Enter a name for your dashboard or leave the default one, then select a folder in which to store your dashboard.

10. In the Prometheus field, select your metrics data source in the drop-down.

11. Click Import. Your dashboard should load and display.

12. In the drop-down next to Datasource, select your metrics data source. By default, your dashboard retrieves your data source’s data from the last 24 hours.

    

13. If your data source was created less than 24 hours ago, click the clock icon and adjust the time range to match its creation time.

    Your dashboard should look similar to the one in the image below.