Import recommendation data into APM tools

By creating a Prometheus scrape job, Optimize Live exports recommendation data as Prometheus metrics, which you can import into other application performance management (APM) tools.

To define a scrape job to get recommendation data:

1. Edit the prometheus-server ConfigMap in the prometheus namespace:

   kubectl edit configmap -n prometheus prometheus-server
   

2. Add the following scrape job to the scrape_configs: section of the ConfigMap.

   • Replace SF_CLIENT_ID with the clientID value in your cluster credential file.

   • Replace SF_CLIENT_SECRET with the clientSecret value in your cluster credential file.
     Alternatively, a Prometheus administrator can put the clientSecret in a file and leverage the client_secret_file parameter and specify the absolute path (for example, client_secret: /mnt/client_secret_file).

     - job_name: optimize-live-recommendations
       honor_labels: true
       proxy_from_environment: true
       scheme: https
       oauth2:
         client_id: 'SF_CLIENT_ID'
         client_secret: 'SF_CLIENT_SECRET'
         token_url: 'https://api.stormforge.io/oauth/token'
         endpoint_params:
             audience: 'https://api.stormforge.io/'
             grantType: client_credentials
       metrics_path: /v3/workload-metrics
       static_configs:
       - targets: ["api.stormforge.io"]
     

3. (Optional) To confirm that the scrape job is working as expected, compare the results in Prometheus to the output of the command below:

   curl -H "$(stormforge whoami --header)" https://api.stormforge.io:443/v3/workload-metrics