
Craig Marker
Co-founder and CEO of Stacklok and co-creator of Kubernetes, experienced in distributed systems and platform engineering with current focus on AI-first organizational strategies.
Best podcasts with Craig Marker
Ranked by the Snipd community

16 snips
Apr 14, 2017 • 35min
#295: Kettlebells and the Psychology of Training
My interview today is with Craig Marker, a StrongFirst kettlebell trainer, and psychology professor at Mercer University.We’re big fans of the kettlebell here at the Art of Manliness. It’s a great piece of gym equipment that builds both strength and cardiovascular conditioning. Today on the show, I talk to StrongFirst kettlebell coach Craig Marker about the wonders of these little cannonballs with handles. Mark digs deep into the research done by the Soviets back in the 70s and 80s that shows why kettlebells are an effective tool for building explosive power, and how kettlebell training can improve your deadlift, help you jump higher, and even lead you to becoming a better ballerina (if that’s your thing).We then segue our conversation to talking about training in general and the mistakes beginners make when starting with a strength program. Mark then makes the case that in addition to our regular workouts, we should live our lives like it's the 1940s if we want to see improved health and happiness.We end our conversation talking a bit about Craig’s day job as a psychology professor at Mercer University and how his training as a psychologist has helped him improve his coaching and fitness training. He even shares a little trick you can play on your brain to lift more weight or run faster.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

11 snips
Nov 25, 2025 • 55min
From Kubernetes to AI maximalism | Stacklok's Craig McLuckie
Craig McLuckie, Co-founder and CEO of Stacklok and Kubernetes co-creator, navigates the future of AI with a bold 'AI maximalism' mindset. He argues for a shift in leadership thinking from 'can we?' to 'why can't we?' Delving into the probabilistic nature of large language models, Craig discusses their successes and failures. He also explores the evolving roles in teams, the concept of disposable code for rapid prototyping, and the risks of shadow IT. His insights aim to empower organizations to thrive in an AI-driven landscape.


