for Architects AND Team Leads

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.

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Team Leaders / Architects - prepare for scale

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.

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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.

digma demo environment

Test it out

The Digma Sandbox lets you explore the use of Preemptive Observability during development, providing a clearer understanding of its benefits. No deployment or installation is needed.

The Preemptive Observability Analysis engine

The Digma Preemptive Observability Analysis (POA) engine introduces an advanced approach to observability by proactively identifying potential issues before they materialize in production.

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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.

Design

Deployment Diagram

Digma extends your existing observability pipeline to process the data and preempt issues. It is easy to deploy and integrates with existing OTEL based observability tools

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We Answered

Frequently Asked Questions

Digma identifies and prioritizes performance issues early, so you don’t have to wait for production incidents to know something is wrong. Its Preemptive Observability Analysis (POA) engine detects slow execution paths, bottlenecks, and scalability risks while your team is still developing, helping you ship faster with fewer surprises.

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.

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.

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.

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.

Digma offers a Sandbox environment, where you can explore how Preemptive Observability 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.