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Four key metrics

NOT ON THE CURRENT EDITION
This blip is not on the current edition of the radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the radarUnderstand more
Apr 2019
Adoptar?

The thorough State of DevOps reports have focused on data-driven and statistical analysis of high-performing organizations. The result of this multiyear research, published in Accelerate, demonstrates a direct link between organizational performance and software delivery performance. The researchers have determined that only four key metrics differentiate between low, medium and high performers: lead time, deployment frequency, mean time to restore (MTTR) and change fail percentage. Indeed, we've found that these four key metrics are a simple and yet powerful tool to help leaders and teams focus on measuring and improving what matters. A good place to start is to instrument the build pipelines so you can capture the four key metrics and make the software delivery value stream visible. GoCD pipelines, for example, provide the ability to measure these four key metrics as a first-class citizen of the GoCD analytics.

Nov 2018
Probar?

The State of DevOps report, first published in 2014, states that high-performing teams create high-performing organizations. Recently, the team behind the report released Accelerate, which describes the scientific method they've used in the report. A key takeaway of both are the four key metrics to support software delivery performance: lead time, deployment frequency, mean time to restore (MTTR), and change fail percentage. As a consultancy that has helped many organizations transform, these metrics have come up time and time again as a way to help organizations determine whether they're improving the overall performance. Each metric creates a virtuous cycle and focuses the teams on continuous improvement: to reduce lead time, you reduce wasteful activities which, in turn, lets you deploy more frequently; deployment frequency forces your teams to improve their practices and automation; your speed to recover from failure is improved by better practices, automation and monitoring which reduces the frequency of failures.