Analytics Solution for GitHub Actions. No Need to Run CI in the Dark

Trunk employee here - we&#x27;re super excited about this launch!<p>We&#x27;ve got a few companies using it, and had other users in our community tell us &quot;It&#x27;s a very helpful tool that I didn&#x27;t even know I needed&quot;. Even we ourselves have made a number of surprising discoveries about how often some of our hourly&#x2F;nightly workflows have been failing by dogfooding this.<p>Let us know what you think! :)

For cost and practical reasons, I&#x27;m seriously considering to adopt Dagger.io instead of GH Actions.<p>Have you considered integration with other CI&#x2F;CD pipeline engines or it doesn&#x27;t matter as long as you git-commit?<p>Thanks in advance.

GH actions has been great for us for CI but incredibly opaque when you&#x27;re trying to diagnose problems. Simple jobs running on the gh hosted runners are fine, but we have a large pool of self-hosted runners running more complex workflows, and whenever things go sideways the answer is usually &quot;did you try restarting all of them?&quot; Hopefully this is helpful, at least someone is investing in making gh actions work for larger organizations.

Interested to see how different case studies pan out with this product. A mentor once told me that data is only useful if you can tell a compelling story. Hopefully soon something like this will make it easier to tell stories that help both business and engineering.

Datadog already does this, how does this compare? Genuinely interested.

Pretty neat, does GitHub provide any of these analytics themselves?