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Working with Prometheus Queries

Once you have begun collecting metric data in Prometheus, you will need to be able to work with that data in order to obtain information you can act upon. Prometheus provides a specialized query language known as Prometheus Query Language (PromQL) that allows you to write both simple and complex queries in order to retrieve and view your metric data in a useful way. In this hands-on lab, you will have the opportunity to work with Prometheus queries by writing and executing some simple queries.

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Lab platform
Lab Info
Level
Intermediate
Last updated
Sep 11, 2025
Duration
30m

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Table of Contents
  1. Challenge

    Get the Current Memory Usage for the LimeDrop Authentication Service
    1. Access the Prometheus expression browser in a web browser (replacing <PROMETHEUS_SERVER_PUBLIC_IP> with the public IP address of the Prometheus server):

      http://<PROMETHEUS_SERVER_PUBLIC_IP>:9090
      
    2. Run a query to obtain the available memory amount. Supply a label to search specifically for metrics for the limedrop-auth:4455 instance.

      mem_available_total{instance="limedrop-auth:4455"}
      
    3. Log in to the Prometheus server and open the output file:

      vi /home/cloud_user/auth_service_data.md
      
    4. Enter the current available memory on the mem_available_total line.

  2. Challenge

    Get the available memory range data over a five-minute period three minutes ago.
    1. Run a query in the expression browser to obtain the data:

      mem_available_total{instance="limedrop-auth:4455"}[5m] offset 3m
      
    2. Copy the output, including the timestamps.

    3. On the Prometheus server, open the output file:

      vi /home/cloud_user/auth_service_data.md
      
    4. Paste in the data at the end of the file.

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