Sleuth Is Using AI And DORA Metrics To Track And Improve DevOps Productivity

Since the beginning of the pandemic, companies have struggled to adopt effective and efficient remote and hybrid work strategies, fearing a decrease in productivity by employees working from home. In an effort to improve the productivity of software developers, three former Atlassian employees founded Sleuth, a tracker for continuous deployment teams that provides an accurate picture of a company’s DevOps Research and Assessment (DORA) metrics.

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Sleuth’s three founder, Dylan Etkin, Michael Knighten, and Don Brown, recently announced a Series A round of funding that raised $22 million. The round was led by Felicis with participation from Menlo Ventures and CRV, and the company plans to use the fresh capital to fuel product development and expand its workforce, especially in engineering and sales.

Sleuth’s software is intended to help managers identify bottlenecks affecting DevOps teams and to track errors in deployments using AI and DORA metrics. The platform is used by large enterprises, including Atlassian, and startups including LaunchDarkly and Matillion.