The next NCSA Clowder All Paws Meeting will be Friday, November 6 at 11:00 a.m. U.S. Central Time. All Paws Meetings are online webinars for the community to learn about the status of the project and future directions. For more information please join the mailing list.
Join the meeting via Zoom
Meeting topics
Clowder Transformations Catalog
Mark Fredrickson, Research Programmer, NCSA
Abstract: The Transformations Catalog is designed as a catalog for extractors that may be used with Clowder. People can submit created extractors for advertisement to the wider Clowder community.
Bio: Mark Fredrickson is a former system administrator for NCSA, and a help desk technician for XSEDE prior to that. He has been working with supercomputers for over a decade, and loved creating scripts and programs to simplify life. He recently made the change to research programmer, moving full time to creating tools to make life easier rather than just keeping things running.
Helm Deployment of Clowder
Rob Kooper, Lead Research Programmer, NCSA
Abstract: Kubernetes has become the de-facto standard for docker orchestration, and helm a well-established method for deploying applications. We will describe the helm chart that can be used to quickly install clowder in Kubernetes. We will go over the customization options as well as how to upgrade clowder.
Bio: Rob Kooper earned his M.S. degree from the College of Computer Science, Georgia Institute of Technology, GA, 2001. During his master's program, he worked on context aware systems (resulting a seminal paper about context aware systems called CyberGuide) as well as augmented reality and virtual reality systems (which was published in the NY Times and were showcased on PBS and CNN). Rob Kooper joined the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign (UIUC) in 2001. Rob has worked on spectral image analyses and on management and retrieval of information from large databases using fuzzy statements. Currently he is working on scalability options using high performance computing (HPC) and cloud computing environments as well as on extraction of information from complex documents, analyses of the extracted information and visualization of large datasets.
