Digma AI

Digma identifies issues earlier in the development cycle using Dynamic Code Analysis, preventing disruptions before they reach production. It serves as a complementary solution to standard APMs.

Yes. Digma analyzes every code change and highlights affected areas before you merge a pull request.

No. Digma functions without requiring code changes and is fully OpenTelemetry (OTEL) compliant.

Digma identifies inefficient code patterns that drive up resource consumption, enabling engineering teams to write more cost-efficient code.

Digma does not use public AI models that share data outside of your organization; all data remains local.

Digma detects various performance issues, including unexpected performance regressions from code changes, slow execution paths, scalability bottlenecks that may cause failures under load, and inefficient database queries or API calls.

Not exactly. While profilers and static analysis tools are useful, they are typically used after an issue occurs. Digma provides additional value by analyzing real runtime data.