Inspire, develop, and guide a winning organization.
Create visible workflows to achieve well-architected software.
Understand and use meaningful data to measure success.
Integrate and automate quality, security, and compliance into daily work.
Understand the unique values and behaviors of a successful organization.
LLMs and Generative AI in the enterprise.
An on-demand learning experience from the people who brought you The Phoenix Project, Team Topologies, Accelerate, and more.
Learn how making work visible, value stream management, and flow metrics can affect change in your organization.
Clarify team interactions for fast flow using simple sense-making approaches and tools.
Multiple award-winning CTO, researcher, and bestselling author Gene Kim hosts enterprise technology and business leaders.
In the first part of this two-part episode of The Idealcast, Gene Kim speaks with Dr. Ron Westrum, Emeritus Professor of Sociology at Eastern Michigan University.
In the first episode of Season 2 of The Idealcast, Gene Kim speaks with Admiral John Richardson, who served as Chief of Naval Operations for four years.
New half-day virtual events with live watch parties worldwide!
DevOps best practices, case studies, organizational change, ways of working, and the latest thinking affecting business and technology leadership.
Is slowify a real word?
Could right fit help talent discover more meaning and satisfaction at work and help companies find lost productivity?
The values and philosophies that frame the processes, procedures, and practices of DevOps.
This post presents the four key metrics to measure software delivery performance.
In this enlightening paper, Bryan Finster explores the unintended consequences that can arise from misusing the four key DORA metrics that many organizations rely on to measure software delivery performance. While these metrics—deployment frequency, lead time, change fail percentage, and mean time to restore (MTTR)—were instrumental in the research that established the effectiveness of DevOps practices, Finster argues they are often misapplied as standalone improvement targets.
The paper dives into real-world examples of how an excessive focus on these metrics in isolation can drive the wrong behaviors, like deploying code hastily at the expense of quality. Finster stresses the DORA metrics must be balanced with other measures of effectiveness, sustainability, flow, and culture. Metrics are most effective as indicators of progress when used by teams to improve their own unique process and outcomes rather than for comparing teams to each other.
Finster provides practical tips for using metrics responsibly to nurture a culture of continuous learning and improvement. He emphasizes the importance of educating the entire organization on what the metrics really mean, providing actionable feedback to teams, and avoiding the pitfalls of measuring individuals. When used appropriately, DORA metrics can be part of a holistic approach to enhancing software delivery capabilities. But as Finster concludes, there are no simple metrics—measuring any human activity is complex and requires thoughtful experimentation and adaptation.
Uncovers the unintended consequences of misusing DORA metrics and provides eye-opening examples.
Offers actionable tips for using metrics responsibly to foster a culture of continuous improvement.
Emphasizes the importance of balancing DORA metrics with measures of effectiveness and sustainability.
Guides readers on nurturing a learning culture and avoiding the pitfalls of measuring individuals.
Bryan Finster is an experienced value stream architect, technical lead, product owner, and passionate advocate for organizational improvement required to optimize the flow of delivery. With over two decades of experience developing enterprise supply chain solutions, he applies lean supply chain thinking to the problem of software delivery to minimize costs and maximize delivered quality. He is a practitioner and mentor of continuous delivery practices and DevOps principles who uses data-driven approaches to optimize the flow of value, improve business outcomes, and improve the lives of software engineers.
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