How to easily track DORA metrics

You've devoured the Dora Metrics report. You poured through the accelerate book, and you've absorbed high-quality video tutorials on Dora Metrics, or maybe all three, and you want to implement them for your team, but you want to do so with as little work as possible because let's face it, you have other things to do.
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Well, good news. Sleuth, the most accurate accelerate metrics tracker, can give you this effortless visibility, and I'll walk you through it. Sleuth tracks change lead time by looking for code being deployed and working backwards to understand how it got there. It takes changes and breaks them down into buckets to help you understand where slow downs are happening. Sleuth tracks change frequency by looking at your actual deploys and breaking those down into sizes, so that you can see smaller deploys and the effect they have on your deployment frequency.
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Sleuth tracks change failure rate by looking at your sources of health, such as error rates, key metrics or incidences themselves. Sleuth ties the health to deployment so that your team can dig in and understand the impact of their changes. Sleuth tracks mean time to recovery by tracking health, incidences and rollback, showing you recovery times per category.
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Just point Sleuth at your code repository and sources of service health, and Sleuth will continuously generate the most accurate Dora metrics without any maintenance or babysitting. If you want to learn how to set your team up with Sleuth step by step, click on this video. If you want to learn more on how you can measure and reduce change lead time, click on this video.