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Advanced Prometheus Queries

The Prometheus Query Language (PromQL) provides a variety of tools that enable you to transform your raw metric data into useful and actionable information. In this lab, you will have the opportunity to explore some advanced features of Prometheus queries as you build queries to solve slightly complex problems.

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Path Info

Level
Clock icon Intermediate
Duration
Clock icon 1h 0m
Published
Clock icon Jun 12, 2020

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Table of Contents

  1. Challenge

    Write a Query to Determine Which Instances Have High CPU Utilization

    1. Access the Prometheus expression browser in your web browser:

      http://<PROMETHEUS_SERVER_PUBLIC_IP>:9090

    2. Run a query to add the CPU usage in the system and user modes for each instance. Then, filter the results to only instances where the combined number of CPU seconds is more than 10000:

      (node_cpu_seconds_total{mode="system"} + ignoring(mode) node_cpu_seconds_total{mode="user"}) > 10000

    3. Log in to the Prometheus server and open the output file:

      vi /home/cloud_user/report.md

  2. Challenge

    Get the Per-Second Rate of Increase in HTTP Request Duration for All Instances

    1. Run a query from the Prometheus expression browser:

      rate(http_request_duration_seconds_sum[5m])

    2. Copy the output, including the element data and values.

    3. On the Prometheus server, open the output file in a terminal:

      vi /home/cloud_user/report.md

    4. Paste in the data obtained using the query at the end of the file.

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Pluralsight Skills

Pluralsight Skills gives leaders confidence they have the skills needed to execute technology strategy. Technology teams can benchmark expertise across roles, speed up release cycles and build reliable, secure products. By leveraging our expert content, skill assessments and one-of-a-kind analytics, keep up with the pace of change, put the right people on the right projects and boost productivity. It's the most effective path to developing tech skills at scale.

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