How CERN analyzed 1 PetaByte per second using K8s with Ricardo Rocha

One PetaByte is the equivalent of 11000 4k movies. And CERN's Large Hadron Collider (LHC) generates this every single second. Only a fraction of this data (~1 GB/s) is stored and analyzed using a multicluster batch job dispatcher with Kueue running on Kubernetes. 
In this episode we have Ricardo Rocha, Platform Engineering Lead at CERN and CNCF Advocate, explaining why after 20 years at CERN he is still excited about the work he and his colleagues at CERN are doing. To kick things off we learn about the impact that the CNCF has on the scientific community, how to best balance an implementation of that scale between "easy of use" vs "optimized for throughput". Tune in and learn about custom hardware being built 20 years ago and how the advent of the latest chip generation has impacted the evolution of data scientists around the globe

Links we discussed
Ricardo's LinkedIn: https://www.linkedin.com/in/ricardo-rocha-739aa718/
KubeCon SLC Keynote: https://www.youtube.com/watch?v=xMmskWIlktA&list=PLj6h78yzYM2Pw4mRw4S-1p_xLARMqPkA7&index=5
Kueue CNCF Project: https://kubernetes.io/blog/2022/10/04/introducing-kueue/

Om Podcasten

The brutal truth about digital performance engineering and operations.

Andreas (aka Andi) Grabner and Brian Wilson are veterans of the digital performance world. Combined they have seen too many applications not scaling and performing up to expectations. With more rapid deployment models made possible through continuous delivery and a mentality shift sparked by DevOps they feel it’s time to share their stories. In each episode, they and their guests discuss different topics concerning performance, ranging from common performance problems for specific technology platforms to best practices in development, testing, deploying and monitoring software performance and user experience. Be prepared to learn a lot about metrics.

Andi & Brian both work at Dynatrace, where they get to witness more real world customer performance issues than they can TPS report at.