Import recommendation data into APM tools

Create a Prometheus scrape job to get data that you can import 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"]
      
Last modified December 3, 2024