Uncover performance issues in the code
Identify and prioritize code issues that impact your application performance before they materialize in production
Prevent P1 bugs
Identify performance issues and degradations earlier in the development cycle, before deploying the version.
Prioritize your technical debt
Prioritize your technical debt by identifying critical issues and assessing their impact. Digma ranks issues based on criticality and their potential effect on performance and scalability, helping your team focus on the changes that matter most.
Prepare for scale
Gain insights into which areas of your codebase will scale seamlessly and which may create bottlenecks. By identifying patterns early, Digma ensures your application meets performance goals before scaling issues arise.
Test it out
The Digma Sandbox lets you explore the use of Dynamic Code Analysis during development, providing a clearer understanding of its benefits. No deployment or installation is needed.
The Dynamic Code Analysis engine
Digma’s Dynamic Code Analysis (DCA) engine introduces an advanced approach to observability by proactively identifying potential issues before they materialize in production.
It achieves this by analyzing observability tracing data, even when data volumes are low. Leveraging pattern matching and anomaly detection techniques, Digma’s algorithm extrapolates expected application performance metrics, enabling it to detect deviations or potential problems that have not yet impacted the application. In analyzing the tracing data, Digma pinpoints the issue to the specific responsible code and commits.
Deployment Diagram
Digma extends your existing observability pipeline to process the data and preempt issues. The engine is easy to deploy and integrate with existing OTEL based observability tools.
The state of the shift left
Insights from 280 engineers and managers on their shift-left progress, ability to catch issues early, troubleshoot quickly and minimize wasted engineering time.
Frequently Asked Questions
How can Digma help my team prevent performance issues before production?
Digma identifies and prioritizes performance issues early, so you don’t have to wait for production incidents to know something is wrong. Its Dynamic Code Analysis (DCA) engine detects slow execution paths, bottlenecks, and scalability risks while your team is still developing, helping you ship faster with fewer surprises.
How does Digma help with prioritizing technical debt?
Not all issues are equally critical. Digma ranks code issues based on their impact on performance and scalability, so your team can focus on the most important fixes instead of spending time on low-priority optimizations. This helps keep your codebase healthy and ready for scale.
Can Digma help my team prepare for scaling?
Yes! Digma analyzes which parts of your codebase will scale seamlessly and which might cause problems as your application grows. By detecting potential bottlenecks early, your team can proactively optimize before encountering scaling issues in production.
How does Digma fit into our existing observability stack?
Digma extends your current OTEL-based observability pipeline, analyzing tracing data to preemptively detect issues. It integrates seamlessly without disrupting your existing monitoring setup, providing code-level insights that go beyond traditional observability tools.
What’s the difference between Digma and traditional alerting tools?
Most tools alert you only after an issue impacts production—Digma identifies issues before they cause real damage. Instead of reactive debugging, your team can proactively fix potential performance degradations, scalability issues, and regressions early in the development cycle.
How can my team try Digma before integrating it?
Digma offers a Sandbox environment, where you can explore how Dynamic Code Analysis works in a real development setting. It allows your team to test issue detection, performance insights, and prioritization workflows without committing to a full deployment. It’s the best way to see how Digma can fit into your team’s workflow before rolling it out.