Type the number 1229 in the Dashboard input area and click LoadĮverything should now be populated except for the last field that requires the data source. Input the following information into the Data Source:Ĭlick on the Grafana Logo in the upper right-hand corner, hover over Dashboards, and select import
DOCKER FOR MAC CPUS PASSWORD
Login to Grafana: username - admin password - foobarĪfter logging in you will be prompted with a green button to add a data source. Start the Prometheus stack: docker-compose up -d.Edit the target string to the with the hostname or IP of the machine running Docker for Mac/Windows: - targets:.Navigate to the end of the file and find the section name static_configs Edit the prometheus/prometheus.yml file.Clone the Prometheus stack locally: git clone.Next, let's start-up a Prometheus stack and consume these newly created metrics. Our local Docker for Mac/Windows installation is now creating Prometheus formatted metrics. Open a browser tab with the following URL: `` Click `Àpply & Restart` and wait for Docker to come back online.ĥ.
DOCKER FOR MAC CPUS CODE
Add the following line of code below the `debug` statement: `metrics-addr" : "0.0.0.0:9323",`Ĥ. Inside the box of code, we will add an additional line to enable the metrics. Navigate to the `Daemon` menu and click `Advanced`ģ.
Monitoring the Docker for Mac/Windows Daemon Finally, it is a good practice to understand your environment and if it is impacting the performance of your workload or not. Second, in order to truly understand your environment, we need to dissect what is running and how it's running. For starters, I am sort of monitoring mad and monitor everything. Some may ask the Million Dollar $$ question as to why we would want to monitor our local installation. How cool is that? No longer do we need to guess about the performance of our development machines or test environments. Monitoring is now baked into Docker for Mac/Windows by default.
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