Industrial Use Case of Kubernetes
What is Kubernetes ?
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications.
Kubernetes is also known as K8S.
Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.
K8s groups all the containers into logical units for easy management and discovery.
K8s is very flexible. Weather testing locally or on a global enterprise K8S flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is.
K8S Industrial Use Case CERN :
Here is what CERN says about Kubernetes -
“Processing Petabytes of Data More Efficiently with Kubernetes”
Challenge :
At CERN, the European Organization for Nuclear Research, physicists conduct experiments to learn about fundamental science. In its particle accelerators, “we accelerate protons to very high energy, close to the speed of light, and we make the two beams of protons collide,” says CERN Software Engineer Ricardo Rocha. “The end result is a lot of data that we have to process.” CERN currently stores 330 petabytes of data in its data centers, and an upgrade of its accelerators expected in the next few years will drive that number up by 10x. Additionally, the organization experiences extreme peaks in its workloads during periods prior to big conferences, and needs its infrastructure to scale to those peaks. “We want to have a more hybrid infrastructure, where we have our on premise infrastructure but can make use of public clouds temporarily when these peaks come up,” says Rocha. “We’ve been looking to new technologies that can help improve our efficiency in our infrastructure so that we can dedicate more of our resources to the actual processing of the data.”
Solution :
CERN’s technology team embraced containerization and cloud native practices, choosing Kubernetes for orchestration, Helm for deployment, Prometheus for monitoring, and CoreDNS for DNS resolution inside the clusters. Kubernetes federation has allowed the organization to run some production workloads both on premise and in public clouds.
Impact :
“Kubernetes gives us the full automation of the application,” says Rocha. “It comes with built-in monitoring and logging for all the applications and the workloads that deploy in Kubernetes. This is a massive simplification of our current deployments.” The time to deploy a new cluster for a complex distributed storage system has gone from more than 3 hours to less than 15 minutes. Adding new nodes to a cluster used to take more than an hour; now it takes less than 2 minutes. The time it takes to auto-scale replicas for system components has decreased from more than an hour to less than 2 minutes. Initially, virtualization gave 20% overhead, but with tuning this was reduced to ~5%. Moving to Kubernetes on bare metal would get this to 0%. Not having to host virtual machines is expected to also get 10% of memory capacity back.
For more K8S User Case Study Visit : https://kubernetes.io/case-studies/
THANK YOU