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.
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.
November 3, 2025
Part 1 of 4: The Four Pillars of Progressive Delivery
Do you remember when getting a new server for your development team required a three-month approval process, a capital expenditure request, and a facilities team to rack and stack hardware? Those days feel like ancient history, but they shaped an entire generation of software development practices around scarcity.
Today, you can spin up virtually unlimited computing resources with a credit card and an API call. Storage costs have plummeted to nearly zero. Network bandwidth that once required dedicated T1 lines now flows through your smartphone. We’ve moved from an era of technological scarcity to one of unprecedented abundance.
Yet many organizations still operate with a scarcity mindset, and it’s costing them the ability to deliver software progressively.
In the context of Progressive Delivery, abundance isn’t just about having more compute power or storage space. It’s about having more than enough of all the resources required to accomplish your tasks—without friction, without waiting, without asking permission.
This includes:
Abundance enables a fundamental shift in thinking from “Why do you need that?” to “Is there any reason you shouldn’t have that?”
AWS exemplifies this transformation. When it launched in 2006, the value proposition was revolutionary: stop spending money on “undifferentiated heavy lifting.” Instead of building and maintaining your own data centers, focus your energy on what makes your business unique.
This wasn’t just about outsourcing infrastructure—it was about transitioning from scarcity-driven decision-making to abundance-enabled innovation. Suddenly, a startup could access the same technological capabilities as a Fortune 500 company. The constraints shifted from “Can we afford this infrastructure?” to “What should we build with unlimited infrastructure?”
Netflix’s journey from DVD-by-mail to global streaming platform illustrates abundance thinking in practice. In the early 2000s, streaming video required massive infrastructure investments that only the largest media companies could afford. Netflix made a crucial bet: instead of trying to minimize infrastructure costs, they would invest abundantly in building streaming capabilities before they were profitable.
This abundance mindset extended beyond technology. They invested heavily in content before knowing if original programming would work. They built global infrastructure before having global content deals. They automated customer service, recommendation systems, and content delivery to handle massive scale.
Each of these decisions seemed wasteful from a scarcity perspective—why spend money before you know it will work? But abundance thinking recognizes that in a rapidly changing environment, the biggest risk isn’t waste—it’s insufficient capacity to adapt.
Organizations that maintain scarcity mindsets in an abundance world pay a steep price:
The counterargument is obvious: unlimited resources lead to unlimited waste. And there’s truth to this concern. Organizations that embrace abundance without guardrails often see spiraling cloud costs, over-engineered solutions, and feature bloat.
The solution isn’t to return to scarcity thinking—it’s to pair abundance with intelligent automation and alignment. AWS discovered this when they created FinOps practices to help organizations spend wisely while maintaining innovation velocity.
Progressive Delivery addresses this through what the upcoming book calls “the abundance equation”:
Abundance + Autonomy must be balanced by Alignment + Automation
Abundance without alignment leads to chaos. Abundance without automation leads to waste. But abundance properly channeled through Progressive Delivery principles enables sustainable innovation at scale.
You don’t need unlimited budgets to begin thinking abundantly. Start by identifying your most constraining resource:
The goal is to remove friction from the creative process. Every minute spent waiting for resources is a minute not spent solving user problems.
In the upcoming AI revolution, abundance thinking will separate winners from losers. The organizations that can afford to experiment with multiple AI models, test different integration approaches, and iterate rapidly on user feedback will pull ahead of those still operating from scarcity constraints.
This doesn’t mean reckless spending—it means strategic investment in capabilities that enable rapid adaptation. The companies that invested abundantly in cloud infrastructure, data platforms, and experimentation capabilities are now best positioned to leverage AI effectively.
Abundance is the foundation that makes the other three A’s possible. Without sufficient resources, autonomy becomes meaningless—teams can’t act independently if they don’t have access to what they need. Alignment suffers when everyone is competing for scarce resources. Automation requires upfront investment that scarcity thinking discourages.
When you embrace abundance thinking, everything else becomes possible. Teams can focus on creating value rather than managing constraints. Innovation becomes a systematic capability rather than a lucky accident.
The question isn’t whether you can afford abundance thinking. In today’s competitive environment, the question is whether you can afford not to embrace it.
Next week: Part 2 explores Autonomy—how abundance enables teams and individuals to act independently while staying aligned with organizational goals.
This series explores concepts from the book Progressive Delivery: Build The Right Thing For The Right People At The Right Time by James Governor, Kim Harrison, Heidi Waterhouse, and Adam Zimman (IT Revolution Press, November 2025).
Managing Editor at IT Revolution working on publishing books and guidance papers for the modern business leader. I also oversee the production of the IT Revolution blog, combining the best of responsible, human-centered content with the assistance of AI tools.
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