How Kubernetes helped to win a Nobel Prize and how can anyone reperform that discovery on their own using the Public Cloud

Date posted
8 November 2019
Reading time
6 Minutes
Grzegorz Sowinski

How Kubernetes helped to win a Nobel Prize and how can anyone reperform that discovery on their own using the Public Cloud

Kubernetes is the most widely used and universal container orchestrator. What that means is that it is becoming a standard solution to deploy and manage containerized applications in any cloud or on-premise. It can manage thousands of nodes (computers) and treat them as any number of clusters. It makes deploying and running applications on top of that stack extremely easy. Kubernetes definitively won the battle and outran all other competitors on the market by far. It is also currently the most popular Open Source project in the DevOps space after Linux.

KubeCon, the most important Kubernetes conference, that also encompassed the whole ecosystem that grew around it, was held earlier this year in May in Barcelona, Spain.

During KubeCon we were treated to a fascinating presentation by Computing Engineer Ricardo Rocha and Physicist Lukas Heinrich from CERN - the European Organization for Nuclear Research also known as the world's biggest particle physics laboratory.

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<p>What they showed was an analysis of physics data delivered by The Large Hadron Collider proving the existence of a predicted fundamental particle known as Higgs Boson. For the theoretical discovery of a mechanism that contributes to the understanding of the origin of mass of subatomic particles and the confirmation made thanks to Kubernetes, Francois Englert and Peter W. Higgs won the Noble Prize in Physics in 2013. </p>



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This has helped us as a company to evaluate a wide range of approaches and form a best practice guide for how we deploy and run workloads in kubernetes. Our experience has shown us that running workloads in Kubernetes, particularly on PaaS solutions, takes away the effort of provisioning underlying computer infrastructure, which free's up time to focus on adding value to the platform through things such as auto-scaling, auto-healing, intelligent monitoring/alerting etc."

 

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About the author

Grzegorz Sowinski