LLMs and Generative AI in the enterprise.
Inspire, develop, and guide a winning organization.
Understand the unique values and behaviors of a successful 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.
An on-demand learning experience from the people who brought you The Phoenix Project, Team Topologies, Accelerate, and more.
Learn how to enhance collaboration and performance in large-scale organizations through Flow Engineering
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.
Exploring the impact of GenAI in our organizations & creating business impact through technology leadership.
DevOps best practices, case studies, organizational change, ways of working, and the latest thinking affecting business and technology leadership.
Just as physical jerk throws our bodies off balance, technological jerk throws our mental models and established workflows into disarray when software changes too abruptly or without proper preparation.
Sure, vibe coding makes you code faster—that’s the obvious selling point. But if you think speed is the whole story, you’re missing out on the juicy stuff.
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.
Volume 2, Issue 2
Sponsored by Heroku
By entering your email, you agree to share your information with IT Revolution and the sponsor of this journal.
The Enterprise Technology Leadership Journal Fall 2025 presents ten comprehensive papers addressing the most pressing challenges facing technology leaders in an AI-driven world. This collection emerges from the 2025 Enterprise Technology Leadership Forum, where leaders from Fortune 500 companies shared real-world experiences navigating AI transformation, scaling delivery systems, and building resilient organizations. Each paper provides actionable frameworks grounded in practical implementation experience across diverse industries.
This issue covers critical topics including identifying and developing technology leadership talent in an AI-augmented world, implementing software acquisition pathways that avoid bureaucratic sabotage, navigating strategic trade-offs between speed, cost, and safety, adapting career strategies for the evolving developer job market, guiding organizational transformation through AI adoption, managing human-AI interactions in safety-critical systems, learning from enterprise-scale generative AI implementations, handling the operational challenges of AI-assisted development, reimagining quality assurance for the age of rapid code generation, and optimizing the software delivery pipeline from pull request to production.
Strategic guidance tested by industries around the world.
Practical approaches to enterprise AI transformation
Evidence-based strategies for technology implementation challenges
Actionable insights for growing technology talent
Volume 1, Issue 2Sponsored by VMware
Guidance Papers from the 2023 DevOps Enterprise ForumSponsored by VMware
Volume 1, Issue 1Sponsored by VMware
Guidance Papers from the 2022 DevOps Enterprise Summits
