/tag/api

  • Microservice Deployments

    Kubernetes is a container orchestrator for both short-running (such as workflow/pipeline stages) and long-running (such as web and database servers) jobs. Containerized applications running in the UVARC Kubernetes cluster are visible to UVA Research networks (and therefore from Rivanna, 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 and management of many containers easy and scalable. This cluster will have over 24 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 standard storage.
  • Microservices

    Microservice architecture is an approach to designing and running applications. Such applications are typically run within containers, made popular in the last few years by Docker. Containers are portable, efficient, and disposable, and contain code and any dependencies in a single package. Containerized microservices typically run a single process, rather than an entire stack within the same computing environment. This allows portions of your application to be easily replaced or scaled as needed. Transition to Kubernetes - Research Computing is transitioning away from DCOS for microservice orchestration in favor of Kubernetes, the open-source orchestrator originating from Google. New deployments will be launched directly in Kuberenetes and existing DCOS deployments will be migrated over the Summer and Fall of 2022.