/category/containers
Microservice Deployments
Kubernetes is a container orchestrator for both short-running (such as workflow/pipeline stages) jobs and long-running (such as web and database servers) services. Containerized applications running in the UVARC Kubernetes cluster are visible to UVA Research networks (and therefore from Rivanna, Afton, Skyline, etc.). Web applications can be made visible to the UVA campus or the public Internet. Kubernetes Research Computing runs microservices in a Kubernetes cluster that automates the deployment of many containers, making their
management easy and scalable. This cluster will eventually consist of several dozen instances, >2000 cores and >2TB of memory allocated to
running containerized services. It will also have over 300TB of cluster storage and can attach to both project and
Container Services
Container-based architecture, also known as “microservices,” is an approach to designing and running applications as a distributed set of components or layers. Such applications are typically run within containers, made popular in the last few years by Docker. Containers are portable, efficient, reusable, and contain code and any dependencies in a single package. Containerized services typically run a single process, rather than an entire stack within the same environment. This allows developers to replace, scale, or troubleshoot portions of their entire application at a time. General Availability (GA) of Kubernetes - Research Computing now manages microservice orchestration with Kubernetes, the open-source tool from Google.
