Security is no longer an afterthought in modern software development. It must be integrated seamlessly into every stage of the development lifecycle. This talk delves into the transformative power of combining DevSecOps principles with Platform Engineering to address the challenges of ensuring continuous security in a fast-paced, agile environment.
How can organizations reduce costs while still delivering real value to their customers? This is a question I get asked frequently, and one that a client recently brought to me when they wanted a keynote for their solution architects. In this talk, I walk through the key principles and practical techniques for continuously delivering value while cutting unnecessary spending.
Many software organizations spend too much effort building and maintaining features that create little real value. This talk shows how to reduce cost not by slowing down delivery, but by improving effectiveness and efficiency at the same time.
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.
In my two decades of experience leading DevOps, Digital, and Agile transformations, I’ve observed that the path to modernisation is rarely a straight line. Organisations, particularly those in data-sensitive sectors, like banking, government, and healthcare, often find themselves at a crossroads. They need to innovate faster while maintaining rigorous security and reliability. This tension between speed and safety has traditionally forced companies to choose one over the other. But it doesn’t have to be this way.
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.
On October 4, 2024, the global DevOpsDays Organizer Summit took place in Antwerp, bringing together organizers from DevOpsDays events around the world. Our team from DevOpsDays Zürich delivered a presentation titled “Bigger is Not Always Better.” I was not able to attend in person due to another conference, but my co-organizers Nadine and Dirk absolutely rocked the stage. Here is the story of why we decided not to scale our sold-out conference.
What are the railroad tracks of your SAFe agile release trains? How are they built, and why do they matter so much? In this talk at the SAFe Leadership Forum, I explore how platform engineering creates the foundation that enables agile teams to continuously deliver value for fast flow.
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.
Is DevOps dead? That claim keeps appearing on the internet, with people arguing that platform engineering is taking over. In this talk, which I gave at the Developer Experience Conference at Roche in Poznan, Poland, I explain why DevOps is absolutely not dead and why platform engineering is the key to making it actually work at scale.
When the CEO or CIO comes to you and says “We need AI in our development process,” the right response is not to start implementing immediately. The right response is to ask: why? In this talk at Conf42 Platform Engineering, I walk through the complete journey from identifying value stream bottlenecks to implementing AI-augmented DevOps on a real platform, including a live demo.
Have you ever wondered how companies build those impressive AI applications and keep them running reliably in production? In this video, I take a deep dive into MLOps, the discipline that makes it possible to continuously develop, deploy, and improve machine learning solutions at enterprise scale.
