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Deeptrace operates like your team’s senior engineers — correlating logs, traces, metrics, and code to tell your engineers what’s actually happening in production. Engineering teams use Deeptrace to reduce MTTR, save thousands of engineering hours annually, and stay ahead of customer-facing issues.

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How Deeptrace works

1

Understands Production

Once integrated, Deeptrace builds an internal mapping across your observability data and codebase to understand how your production system truly behaves and uncover hidden assumptions.
2

Investigates alerts automatically

Deeptrace launches an investigation on every alert that hits your engineering Slack channel. Within minutes, Deeptrace provides a clear root cause summary along with ground-truth sources to validate its findings.
3

Takes action

Deeptrace turns its findings into actionable steps. You can chat with Deeptrace to further debug an issue, create a PR to ship a fix, open a ticket that centralizes all relevant context, or configure rules to reduce alert noise.
4

Learns over time

Deeptrace refines its understanding using your feedback, prior investigations, and historical context, so future alerts are resolved faster and with greater accuracy.

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Impact with Deeptrace

Deeptrace is trusted by fast-growing startups and Fortune 1000 companies, helping engineering teams resolve incidents faster, reduce on-call toil, and operate reliably at scale.
Across teams, Deeptrace cuts mean time to resolution (MTTR) by ~50% by reducing triage time and eliminating manual context gathering for every alert.

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Dive in!

Get Started

Create an account, connect your tools, and start using Deeptrace in minutes.

Guides

Learn how to investigate alerts and collaborate with Deeptrace in Slack.

Features

Explore Deeptrace’s features, from rule-based filtering to custom context.