Prometheus Prometheus not scraping all metrics

Incomplete scrape configuration or target issues.

Understanding Prometheus and Its Purpose

Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud. It is designed to record real-time metrics in a time-series database, built using an HTTP pull model, with flexible queries and real-time alerting. Prometheus is a powerful tool for monitoring and alerting, especially in cloud-native environments.

Identifying the Symptom: Prometheus Not Scraping All Metrics

One common issue users encounter is that Prometheus does not scrape all the expected metrics from a target. This can manifest as missing data points in your dashboards or alerts not firing due to missing metrics.

Exploring the Issue: Incomplete Scrape Configuration or Target Issues

The root cause of Prometheus not scraping all metrics often lies in the scrape configuration or issues with the target itself. This could be due to misconfigured scrape intervals, incorrect target labels, or the target not exposing the expected metrics.

Scrape Configuration

Scrape configuration in Prometheus is defined in the prometheus.yml file. This configuration dictates how and when Prometheus should scrape metrics from specified targets. An incomplete or incorrect configuration can lead to missing metrics.

Target Issues

Sometimes, the issue might be with the target itself. The target might not be exposing all the metrics due to application misconfiguration or network issues preventing Prometheus from accessing the target.

Steps to Fix the Issue

Step 1: Verify Scrape Configuration

First, check your prometheus.yml file to ensure that all targets are correctly specified. Look for the scrape_configs section and verify that each target is listed with the correct job_name and static_configs. For more details, refer to the Prometheus Scrape Configuration Documentation.

scrape_configs:
- job_name: 'my_service'
static_configs:
- targets: ['localhost:9090']

Step 2: Check Target Availability

Ensure that the target is up and running and that Prometheus can reach it. You can use tools like curl or telnet to test connectivity to the target's metrics endpoint.

curl http://localhost:9090/metrics

Step 3: Validate Metrics Exposure

Verify that the target is exposing the expected metrics. Access the metrics endpoint directly in a browser or using curl to see if the metrics are being served correctly.

Step 4: Adjust Scrape Intervals

If the issue persists, consider adjusting the scrape interval in the configuration to ensure that Prometheus is scraping frequently enough to capture all metrics.

scrape_interval: 15s

Conclusion

By following these steps, you should be able to diagnose and resolve issues related to Prometheus not scraping all metrics. For further reading, check out the Prometheus Overview and the Metric and Label Naming Best Practices to ensure your setup adheres to best practices.

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