Automotive Linux Summit & Open Source Summit Japan 2018

Container Orchestrator Kubernetes utilizes Container Runtime to provide low-level pod/container management and operations at the node level. The capabilities & performance of these Container runtimes affects the overall system and thus affect workload running in a cluster. Kunal will present evaluation and comparative study of major Container Runtime options (cri-containerd, cri-o, frakti) available for K8s and how each one behaves in terms of various types of workloads along with features/capabilities that compliment them. This shall be helpful while designing/building Kubernetes Stack for your workloads. Few of workload patterns shall be covered as

-Serverless framework
-Peak hours demand for services (quick scale-up)
-Mean Time To Recovery (MTTR) (DevOps)
-Long Running containers (databases/monolithic/legacy apps)
-Application with high security (Meeting approved security standards)