Keynote: CERN Experiences with Multi-Cloud Federated Kubernetes

Using public cloud resources to cover for peak workloads is a practical and economical alternative to over provisioning on-premise resources. This is the case in environments like CERN where its large …

Using public cloud resources to cover for peak workloads is a practical and economical alternative to over provisioning on-premise resources. This is the case in environments like CERN where its large internal computing infrastructure is usually big enough but where periods prior to big international conferences or large event reconstruction campaigns see a significant spike in the amount of workloads submitted.We will describe early experiences relying on Kubernetes federations to expand the available capacity to external clouds, while still offering a single entry point to our users - using GKE, AKS, Amazon and the Oracle cloud. We will cover some issues we had in some of the clouds (mainly networking) and how we solved them. We will show how they get integrated with our main batch system, and how workloads running on external resources access their corresponding datasets.