for Engineering Managers

Free up your team
Preempt production issues

Digma identifies issues early, before they manifest as production incidents, saving critical engineering time.

Avoid breaking changes

Digma highlights the affected areas and impacted components for each code change and Pull Request, eliminating the risk of breaking changes and consequent loss of engineering time.

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Cut resolution time by 50%

Digma highlights the specific code causing the issue and provides AI-driven fix suggestions,  shortening troubleshooting and resolution time.

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Optimize code to cut costs

Digma identifies inefficient code, such as bottlenecks, that creates spikes in cloud consumption and increases costs, enabling teams to optimize performance and reduce costs.

COMPETITION

Preemptive observability
vs. APM observability

With Preemptive Observability, issues are identified and handled before they become production incidents.
The diagram below illustrates the difference from standard APM monitoring tools.

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How much does Digma save your team?

Use our ROI calculator to see how much engineering time you’re expected to gain from using Preemptive Observability

Tell us about your Engineering organization

Predicted savings

of Engineering Resources
Developers Total
Issue Prevention

Issues that can be prevented when Digma detects them earlier in the release cycle

MTTR Reduction

Reduction in time spent by the team on issue investigation, and RCA using in-code tracing *

Context Switching Penalty

Productivity cost impact on original backlog items due to context switching to a production issue *

Taking the next step

Learn More

Learn more about how Digma frees up engineers’ time by early identification of potential incidents

We Answered

Frequently Asked Questions

Digma identifies issues early, before they turn into production incidents. Instead of relying on alerts after something breaks, Digma’s Preemptive Observability Analysis (POA) engine detects patterns and anomalies during development and testing, preventing costly disruptions and reducing unplanned firefighting.

A lot! Digma cuts resolution time by up to 50% by pinpointing the exact code causing an issue and even offering AI-driven fix suggestions. Your team will spend less time digging through logs and more time shipping great code.

Yes! Digma spots inefficient code that leads to unnecessary cloud resource consumption. Whether it’s performance bottlenecks or excessive database queries, Digma helps your team optimize before deployment, so you’re not wasting money on avoidable inefficiencies.

Traditional APMs alert you after an issue hits production—by then, your team is already in firefighting mode. Digma works before deployment, identifying risky code changes and performance issues early. It’s about preventing problems instead of reacting to them.

Try our Productivity ROI Calculator! Just enter details like team size, time spent on debugging, and impact of production issues, and you’ll get an estimate of how much time and effort Digma can save your team.

Digma doesn’t just highlight problems—it helps you fix them. The AI-driven fix suggestions analyze code patterns, past issues, and observability data to provide actionable recommendations. This means your team can resolve issues faster instead of spending hours troubleshooting.