YoVDO

Harnessing the Power of Ubuntu and MicroK8s - Case Studies from SDSC and CFEL

Offered By: Ubuntu OnAir via YouTube

Tags

Kubernetes Courses Bioinformatics Courses Raspberry Pi Courses Ubuntu Courses OpenStack Courses Scientific Computing Courses MicroK8s Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore two innovative projects leveraging Ubuntu and MicroK8s in this conference talk from Ubuntu Summit 2023. Dive into a pilot project at the San Diego Supercomputer Center (SDSC) that migrated the Research Collaboratory for Structural Bioinformatics (RCSB) Protein Data Bank from OpenStack to Kubernetes, utilizing MicroK8s to create a sandbox environment for testing solutions. Learn how this approach preserved crucial fundraising data and facilitated a smooth transition for the RCSB PDB software, a vital search engine supporting global scientific research and education. Discover intriguing use cases demonstrating MicroK8s' role in migrating an in-house analytics engine essential for grant proposals. Then, examine a slow-control system project for a portable X-Ray spectrometer at the Center of Free Electron Lasers (CFEL) in Germany, implemented using Raspberry Pi 4 devices running Ubuntu and MicroK8s. Gain insights into the complex software and hardware components of this cutting-edge project, showcasing the versatility and power of Ubuntu and MicroK8s in advanced scientific applications.

Syllabus

Harnessing the Power of Ubuntu and MicroK8s: Case Studies from SDSC and CFEL


Taught by

Ubuntu OnAir

Related Courses

Network Analysis in Systems Biology
Icahn School of Medicine at Mount Sinai via Coursera
Molecular Dynamics for Computational Discoveries in Science
University of Massachusetts Boston via Independent
Biology Meets Programming: Bioinformatics for Beginners
University of California, San Diego via Coursera
Python for Informatics: Exploring Information
Open Education by Blackboard
Genomic Medicine Gets Personal
Georgetown University via edX