Operations | Monitoring | ITSM | DevOps | Cloud

How Sleuth measures Change Lead Time

Change Lead Time can be considered the most insightful of the four DORA metrics. But how do you measure it most accurately? In this video, Don Brown shows you how Sleuth measures Change Lead Time for code changes and how Sleuth breaks down that time into multiple buckets for the most detailed insight on what's slowing your team down. Check out these videos on how Sleuth measures other DORA metrics.

How Sleuth measures Change Failure Rate

Before you can measure the DORA metric for Change Failure Rate, you need to define what failure means. In this video, Sleuth's CTO Don Brown explains how Sleuth defines and measures Change Failure Rate, and how it ties failure back to deployments. Check out these videos on how Sleuth measures other DORA metrics: Give Sleuth a try and see why it's a deploy-based Accelerate / DORA metrics tracker both managers and developers love.

How Sleuth measures Mean Time to Recovery (MTTR)

The DORA metric Mean Time to Recovery (MTTR) tracks how long on average your failure spans are. In this video, Sleuth CTO Don Brown explains how Sleuth calculates this measurement, which gives you insight on how quickly your team can respond to and recover from failure. Check out these videos on how Sleuth measures other DORA metrics: Give Sleuth a try and see why it's a deploy-based Accelerate / DORA metrics tracker both managers and developers love.

Using Squadcast's SLO Tracker | Error Budget | Setting up SLOs and configuring SLIs | Squadcast

With Squadcast, you can define and monitor Service Level Objects for your services. SLOs allow you to define and enforce an agreement between two parties regarding the delivery of a given service. A Service Level Objective (SLO) is a reliability target, measured by a Service Level Indicator (SLI), and sometimes serves as a safeguard for a Service Level Agreement (SLA). SLOs represent customer happiness and guide the development team’s velocity.