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4.8 Total Ratings

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.

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Nasim Salmany

Software Engineer

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As a developer, I was seeking to learn about new solutions to obtain feedback in the early stages of development, such as how to improve performance or facilitate refactoring. As a developer, I was seeking to learn about new solutions to obtain feedback in the early stages of development, such as how to improve performance or facilitate refactoring…

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Bruno Souza

Principal Consultant

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I love the business model of Digma. Free forever to developers, and able to run on my computer without sharing information externally. I can be more productive and build my continuous feedback loop, no matter if the company has decided to use Digma or not. This allows any developer to improve their skills continuously. This is especially great for consultants like myself.

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Markus Westergren

Staff Consultant

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Digma analyzes generated OpenTelemetry data and identifies possible issues. The plugin makes locating them in the code a breeze, because it will allow you to navigate between identified problems and the actual source code. It takes the guess-work out of finding and fixing performance issues. This plugin is now a important part of our work-flow.

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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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Updates

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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!

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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.