Platform Engineering

Romano Roth advocates the importance of companies focusing on the developer experience and enabling developers to concentrate on creating business value.

Should we open-source our internal developer platform? That is the question I brought to the audience during this talk. Instead of a traditional presentation, I gave a live demo of the Zühlke Platform Plane and then opened the floor for an honest discussion about the benefits, risks, and realities of open-sourcing a commercial platform product.

Imagine a world where security is seamlessly integrated into your development workflow from ideation until production, so that development teams can completely focus on feature development while building secure applications. That is exactly what I presented at the OWASP Chapter Meetup Switzerland. In this talk, I show how platform engineering transforms modern application security and makes DevSecOps a reality at scale.

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.

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 today’s rapidly evolving digital landscape, enterprises must strategically leverage advanced technologies to stay competitive and drive innovation. Enterprise Architecture Meets AI # This presentation explores the intersection of Enterprise Architecture and Artificial Intelligence, focusing on how organizations can implement and benefit from robust platform strategies.

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.