/tag/compute
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.
Computing Systems
UVA Research Computing can help you find the right system for your computational workloads. From supercomputers to HIPAA secure systems to cloud-based deployments with advanced infrastructure, various systems are available to researchers.
Facilities Statement - Are you submitting a grant proposal and need standard information about UVA research computing environments? Get it here. High Performance Computing - Rivanna and Afton A traditional high performance cluster with a resource manager, a large file system, modules, and MPI processing. Get Started with UVA HPC Secure Computing for Highly Sensitive Data - Ivy A multi-platform, HIPAA-compliant system for secure data that includes dedicated virtual machines (Linux and Windows), JupyterLab Notebooks, and Apache Spark.
Pricing
Below is a schedule of prices for Research Computing resources.
High Performance Computing Allocations Type SU Limits Cost SU Expiration Standard None Free 12 months Purchased None $0.01 Never Instructional 100,000 Free 2 weeks after last training session A service unit (SU) resembles usage of a trackable hardware resource for a specified amount of time. In its simplest form 1 SU = 1 core hour, but the SU charge rate can vary based on the specific hardware used. Resources like GPUs and memory may incur additional SU charges.
Computing Environments at UVA
Research Computing (UVA-RC) serves as the principal center for computational resources and associated expertise at the University of Virginia (UVA). Each year UVA-RC provides services to over 433 active PIs that sponsor more than 2463 unique users from 14 different schools/organizations at the University, maintaining a breadth of systems to support the computational and data intensive research of UVA’s researchers.
High Performance Computing UVA-RC’s High Performance Computing (HPC) systems are designed with high-speed networks, high performance storage, GPUs, and large amounts of memory in order to support modern compute and memory intensive programs. UVA-RC operates two HPC systems, Rivanna and Afton.
