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Скачать или смотреть Resolving Hikaricp, Tomcat, and Jdbc Metrics Not Exporting to DataDog in Spring Boot

  • vlogize
  • 2025-10-01
  • 3
Resolving Hikaricp, Tomcat, and Jdbc Metrics Not Exporting to DataDog in Spring Boot
Micrometer-springboot: Hikaricp Tomcat and jdbc metrics are not exported to DataDogspring bootspring boot actuatordatadogmicrometerspring micrometer
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Описание к видео Resolving Hikaricp, Tomcat, and Jdbc Metrics Not Exporting to DataDog in Spring Boot

Learn how to resolve issues with exporting `Hikaricp`, `Tomcat`, and `Jdbc` metrics to DataDog in your Spring Boot application. Follow our comprehensive guide for troubleshooting and solutions.
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This video is based on the question https://stackoverflow.com/q/63814864/ asked by the user 'Suresh Naik' ( https://stackoverflow.com/u/8534030/ ) and on the answer https://stackoverflow.com/a/63835825/ provided by the user 'Suresh Naik' ( https://stackoverflow.com/u/8534030/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Micrometer-springboot: Hikaricp , Tomcat and jdbc metrics are not exported to DataDog

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Troubleshooting Metric Export Issues in Spring Boot Applications

When working with Spring Boot applications, monitoring performance metrics is crucial. For those leveraging DataDog as a monitoring solution, a common roadblock can occur: Hikaricp, Tomcat, and Jdbc metrics may not be exported properly to DataDog, despite being visible in the /actuator/metrics endpoint. This can leave developers and system administrators in a bind when trying to track their application's performance. Fortunately, resolving this issue is straightforward.

Understanding the Problem

In your Spring Boot application, you may have configured Micrometer to export various metrics to DataDog. However, you may notice that while other metrics are successfully sent, Hikaricp, Tomcat, and Jdbc metrics are conspicuously absent. This is concerning, especially since you need comprehensive performance data to monitor and troubleshoot your application effectively.

Common Setup

Typically, your Spring Boot setup might look something like this:

[[See Video to Reveal this Text or Code Snippet]]

While this configuration allows basic metrics to be exported to DataDog, it may not cover everything you need.

The Solution: Composite Meter Registry

After troubleshooting the issue, the most effective solution involves using a CompositeMeterRegistry. This feature combines multiple meter registries into one, allowing you to export all required metrics without hassle. Here’s how to set it up:

Step-by-Step Implementation

Create a Bean for Composite Meter Registry:
Add the following code to your Spring configuration file. This integrates both DataDog and Logging meter registries into a composite registry.

[[See Video to Reveal this Text or Code Snippet]]

Run Your Application:
After adding the above bean, restart your Spring Boot application. This allows the new configuration to take effect.

Verify Metrics in DataDog:
Navigate to your DataDog dashboard and check the metrics. You should now see Hikaricp, Tomcat, and Jdbc metrics displayed alongside your other performance metrics.

Conclusion

By implementing a CompositeMeterRegistry, you can effectively ensure that Hikaricp, Tomcat, and Jdbc metrics are successfully exported to DataDog, enriching your monitoring capabilities. This approach not only consolidates the metrics you gather but also streamlines the monitoring process, allowing you to focus on optimizing your Spring Boot application.

If you encounter further issues, consider reviewing the Spring Boot and Micrometer documentation for additional configuration options. Implementing a comprehensive monitoring strategy is crucial for maintaining application performance and reliability. Happy coding!

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