Most companies that work in an agile way today while simultaneously trying to implement AI will not survive the next decade, in my opinion. The reason: their operating system is too old. The future is not agile. The future is not AI either. The future is cybernetic.
How can we reduce costs, develop faster, and become more efficient? In this presentation, I walk through the core concepts of the Cybernetic Enterprise and show how organizations can continuously deliver value by combining value stream analysis, platform engineering, and AI.
What does “continuous value flow through platform engineering” actually mean? In this Zühlke Commerce Talk, I sat down with my colleague Dennis Kolmitz, Engagement Manager at Zühlke responsible for our commerce customers, to discuss exactly that. We explored why platform engineering is becoming essential for commerce organizations that want to innovate faster, reduce friction, and keep their best talent.
I recently joined Ben on the We Chat Tech podcast for a wide-ranging conversation about DevOps, leadership, career growth, and the future of AI in software engineering. Over 23 years at Zühlke, I have worked across industries helping organizations transform how they deliver software. In this episode, we covered everything from the fundamentals of DevOps to the skills that future engineers will need.
In September 2024, I had the privilege of delivering a keynote at the Roche DevOps Conference in Poland. The topic: how to architect for continuous delivery. This is a subject close to my heart, because after more than two decades of working in software delivery, I keep seeing the same fundamental patterns that separate high-performing organizations from those that struggle.
For the 90 Days of DevOps community, I presented the concept of the digital factory. After years of doing DevOps transformations across industries at Zühlke, I have developed a holistic approach to scaling DevOps that goes beyond just tools and pipelines. In this talk, I explain why we still struggle with walls of confusion, how platform engineering enables teams to do DevOps at scale, and how digital factories bring everything together.
Every DevOps enthusiast faces the same challenge at some point: you know DevOps works, your team knows it works, but the decision makers want proof. They want a business case. In this talk at ContainerDays 2019, I break down a practical framework for convincing CIOs and managers to fund your DevOps transformation.
By Pia Wiedermayer and Romano Roth
In many organizations and projects, software development involves numerous employees and machines performing tasks separately. This approach results in problems. Here’s how going back to the original way of developing software and building an organic digital factory can help.
Two years of trend predictions later, the DevOps conversation has shifted. In 2021 we talked about adoption. In 2022 we mapped trends onto the adoption lifecycle. In 2023 the most useful lens is the value stream: how products get built, run, quality-assured, monitored, organised, enabled and industrialised end-to-end. Most organisations still suffer from silos and project-based annual planning. The 2023 trends are about closing those gaps.
I was invited to deliver the keynote at the Baloise OpenX Day, an internal conference where Baloise brings together their technology community. The session combined impulse presentations with interactive discussions, giving me the chance to share DevOps fundamentals and then hear directly from the teams about their real challenges. The conversations with the Baloise engineers were incredibly valuable, especially around topics like continuous deployment in regulated industries and the role of platform engineering.
In this conference talk, I discuss one of the most fundamental topics in DevOps: thinking in systems and value streams. When I work with companies on their DevOps transformations, I consistently see the same patterns. The business has bright ideas. They write them into Word documents and Jira tickets. They throw them over a wall of confusion to development. Development builds something and throws it to testing. Testing compares what was specified with what was built (never quite the same), tests something, and throws it to operations. Operations asks “How can we operate that?” and somehow, with great effort, they get it running. Then the customer sees it and says: “What is that? That is not what we ordered.”
The SAFe® for DevOps training is an assessment or a workshop that is ideally suited for teams. Why? Because the focus is on driving the value stream of these teams. Addressing questions, challenges, and any potential obstacles - we can work on the training to provide value to them. We will give them the theory input of what exactly DevOps is.
