About Digma’s Dynamic Code Analysis
In contrast to traditional observability tools that focus on retrospective problem detection, Digma employs a Dynamic Code Analysis (DCA) engine. This engine identifies issues at the code level in pre-production environments, enabling teams to address and prevent them earlier.
All data stays local
Digma is not a cloud service and runs locally on a laptop or within your private cloud.
No code changes required
Digma requires no code changes or observability prerequisites and is OTEL-compliant.
No public AI is used
Digma avoids using public AI systems that share data outside your organization.
Nir Shafrir
Co-Founder + CEO
Roni Dover
Co-Founder + CTO
Our Origin Story
At Digma, we believe Dynamic Code Analysis is the future of software development, enabling engineering teams to avoid disruptions by identifying breaking changes and performance issues early. By detecting patterns and anomalies early, teams can reduce cloud consumption costs, optimize application performance, and focus on innovation rather than firefighting.
Our Dynamic Code Analysis (DCA) engine works within the development environment, spotting scalability challenges, inefficient queries, and other critical issues before they impact production. Unlike traditional tools, Digma doesn’t just monitor—it highlights the affected areas and impacted components for every code change and pull request, ensuring faster resolution times and reduced risks.
With no code changes required, local data processing, and complying with OTEL standards, Digma fits seamlessly into any engineering workflow.
Preempt production issues
Digma identifies issues early, preventing them from escalating into production incidents and saving critical engineering time.
