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Remove Performance Issues From Your Code

The Digma IntelliJ plugin profiles your code execution in runtime to identify the root causes of bottlenecks, scaling problems, and DB query issues.

Troubleshooting

APMs slow down code troubleshooting

Traditional tools and APMs aren’t made to catch performance issues in code before they become serious. They only alert you when your production is already affected, leaving you to spend long hours searching for the problem in your code, which can be very frustrating.

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Performance

Automatically spot
code performance issues

Traditional tools and APMs aren’t made to catch performance issues in code before they become serious. They only alert you when your production is already affected, leaving you to spend long hours searching for the problem in your code, which can be very frustrating.

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Integration

Identify and fix issues
within your IDE

Traditional tools and APMs aren’t made to catch performance issues in code before they become serious. They only alert you when your production is already affected, leaving you to spend long hours searching for the problem in your code, which can be very frustrating.

automating performance

Digma Continuous Feedback

Digma introduces Continuous Feedback (CF) to the dev cycle by automating performance issue discovery and RCA

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Keep In Touch

Join Our Community

Digma is the first Continuous Feedback platform backed by a highly engaged developer community. Curious how others use Digma? Have questions or ideas? See you there!

We Answered

Frequently Asked Questions

We don’t compete with any tool existing today because there isn’t any other tool that generates this type of feedback and delivers it in context. We do work very well together with other tools looking at the same data, like Jaeger and Prometheus, as well as traditional observability tools like Datadog or Splunk.

There are plenty of tools that offer troubleshooting or debugging capabilities after an issue is already identified, or give some raw realtime data. However, Digma is fundamentally different because we turn raw data into usable insights, and make those insights easily accessible to developers so they can take a proactive (not reactive) approach to optimization.

Yes! Here’s an example app with more coming soon.

Absolutely not! We rely on the OpenTelemetry vanilla instrumentation with a few added attributes of our own. We leave your code untouched.

No. It uses your production data to generate real insights – not predictions.

No code changes are necessary. Digma can be set up within minutes as an IDE plugin.

Digma runs all observability analytics locally on your machine via Docker containers. It is not a SaaS service and does not upload observability data.

Digma is free when deployed locally on a laptop. However, it is not free when connected to a central environment.