Operations | Monitoring | ITSM | DevOps | Cloud

Sleuth tracks not just changes but also the moments they hit production. Sleuth goes backwards to figure where they came from, and forwards to figure out their health. In this 12 minutes video, Don describes the main functionalities of Sleuth: SLEUTH A deploy-based DORA / Accelerate Metrics tracker both managers and developers love.

Pull requests don't have to suck. In this video, Don shares his top 10 tips for making PRs a more friction-less experience for everyone involved - from the developer who opens the PR to those who need to review it.

For the final story from the trenches, we're sharing how we ourselves use Sleuth at Sleuth to track Accelerate / DORA metrics, find bottlenecks, and automate to deploy faster.

Code coverage, or test coverage, refers to the percentage of your source code that are "covered" by your test suite. Presumably, the higher the better, right? Not necessarily, Don explains in this video. SLEUTH A deploy-based Accelerate Metrics tracker both managers and developers love.

With Sleuth, you can instantly and automatically track the four DORA metrics: Change Lead Time, Deploy Frequency, Change Failure Rate, and MTTR. No more, no less. Sleuth tracks them accurately, doesn't attempt to track dubious individual metrics, and doesn't require any manual work. SLEUTH A deploy-based Accelerate Metrics tracker both managers and developers love.

A story from Don's time at Reciprocity where they went from deploying once every 3 months to once a week! How did they do it? As it turns out, what was blocking them wasn't really a technical problem.

A story from Don's time at Atlassian with Confluence, where they wrangled with a monolith and succeeded in speeding up deploys through microservices.

Another story from Don's time at Atlassian, this time with Hipchat (the OG chat service before Slack became popular), where the small and mighty team was doing software delivery in a very modern way (at the time).