In this episode, I talk with Ryan Kirk, Head of Cloud and DevOps at Formula 1, about Intelligent Transportation Systems and cloud and DevOps strategies that drive innovation on and off the track. We explore how Formula One powers their global broadcast with mobile data centers, resilient cloud architecture, and cutting-edge automation. Learn how AI, DevOps culture, and containerized engineering set the pace for extreme performance, scalability, and security in fast-moving environments. Whether you're designing digital infrastructure or tackling high-pressure project delivery, this conversation offers insights that will help your team stay current, agile, and competitive.
Here Are Some of the Questions I Ask Ryan Kirk

What are the most important architectural practices when designing cloud infrastructure that handles unpredictable demand reliably?
How has the cloud and DevOps landscape changed over time, and what shifts have had the biggest impact on system design?
What strategies are most effective for building a strong DevOps culture across engineering disciplines?
Where are the most meaningful opportunities for AI and automation in cloud and DevOps today, and how do you determine what to adopt?
How do you balance fast-paced innovation with the need for reliability, performance, and security in a production environment?
Can you share a technical challenge that required creative problem-solving in your cloud and DevOps work?
Which emerging technologies in cloud engineering are most exciting, and how do you prepare your team for them?
What is quantum computing, and how does it relate to trends like artificial intelligence?
What final advice would you give AEC engineers or technology leaders looking to integrate AI and modern cloud practices into their projects, especially in advancing Intelligent Transportation Systems?

Here Are Some Key Points Discussed in This Episode About How Intelligent Transportation Systems Improve Road Safety and Efficiency


Scalable cloud infrastructure thrives on selecting the right architecture based on usage patterns, such as 24/7 applications or short-lived bursts of traffic. Leveraging Kubernetes, containers, and event-driven design ensures reliability and performance regardless of the demand curve.
Cloud and DevOps have evolved from traditional hosting to multi-region automation-centered ecosystems across AI, ML, and CI/CD. Modern DevOps teams need to adapt continuously, using flexible infrastructure and tools to handle real-time telemetry and race-critical workflows.
The best way to build a DevOps culture is by showcasing the value of automation through pilot ideas that solve real problems. Inviting challenges and demonstrating improvements generates momentum and encourages innovation across engineering teams.
AI and automation unlock parallel investigations, reduce manual intervention, and improve root cause analysis across complex systems. Teams must evaluate tools carefully based on flexibility, on-prem compatibility, and their ability to secure and scale alongside unique workflows.
High-performance engineering balances experimentation with rigorous validation in test environments that simulate real conditions. Reliability and security are ensured by integrating robust testing, automated pipelines, and early security checks throughout development.
Delivering near real-time video content to F1 teams globally required blending cloud hosting with on-premise CDNs to minimize latency at over 220 mph speeds. This creative hybrid approach ensured high performance and consistency in mission-critical conditions.
Quantum computing, satellite connectivity, and advanced AI bring enormous promise to future-proof cloud systems. Teams prepare by exploring emerging platforms and fostering a curiosity-driven environment ...