Digma Preemptive Observability

Digma does runtime profiling on your application as it executes, using the standard OpenTelemetry instrumentation plus a few attributes of its own. You add no tracing code, and the tool leaves your source untouched. The payoff is a feedback loop that runs while you work rather than only after something breaks.

The analysis backend turns raw traces into named issues such as suspected N+1 queries, bottlenecks, slow endpoints, and high query counts. Each one lands next to the code that triggers it, so a slow endpoint shows up on the method responsible for the delay. That link between symptom and source is the core of the product.

One insight looks at how a piece of code performs when several requests run at once, then attempts a root cause analysis of any slowdown. It answers a question dashboards rarely settle: will this function hold up as traffic grows? The answer comes back tied to specific assets rather than a vague warning.

Everything runs on your machine or in a cluster you control. No observability data goes to a Digma cloud, which is why the tool works in environments with strict compliance rules. Teams can also move to a central on-prem install on Kubernetes when several people need to share the same analysis.

The IntelliJ plugin is the main interface, so IDE observability appears inside the editor instead of a separate monitoring site. You can jump from a flagged issue straight to the relevant code and act on it without switching context. The tool sits alongside Jaeger, Prometheus, and traditional APM platforms rather than replacing them.