Webinar: Using CACAO Cloud Resources to Teach Workshops

Explore CACAO's features to help you connect your workshop to cloud-native resources

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Credit: Pixabay AI-generated image

When

10 – 11 a.m., Oct. 25, 2024

Webinar materials

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Webinar Slides - see Attachments below

About the webinar

Remember Atmosphere? Users of CyVerse's original cloud computing service may recall how easy "Atmo" made teaching computational informatics courses. With just a few clicks, students could spin up a virtual machine to run bioinformatic analyses and avoid the perfect storm of software dependencies, operating system incompatibilities, and insufficient compute resources that was every educator's nightmare. CyVerse decommissioned Atmo in 2021 and replaced it with CACAO, Cloud Automation and Continuous Analysis Orchestration, an open-source, cloud-native platform that helps users deploy software and infrastructure to multiple clouds, including commercial cloud, using "recipes". 

In this webinar, CyVerse's Research Data Scientist, Michele Cosi, and Director of Infrastructure, Edwin Skidmore, team up to show you the in's and out's of using CACAO in a workshop or classroom setting to access cloud-native resources to accelerate scientific learning and research. By focusing on helping you and your students get stuff done, CACAO helps transform your research and education in a multi-cloud world. 

"CACAO saved us. We were able to concentrate on teaching materials instead of spending our time dealing with installing software and dependencies."

 --Instructor, 6th Uppsala Transposon Symposium

About the presenters

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Michele Cosi photo for DSI directory

Michele Cosi is a Research Data Scientist at the UArizona's Data Science Institute. His experience and expertise in teaching and training researchers and students in data science tools and practices include serving as an instructor of CyVerse Foundational Open Science Skills (cyverse.org/foss), at CompBio Asia, and UA Data Lab workshops. His research interests are in genomics and phenomics, with a focus on workflow development, automation and data extraction. 
 

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edwin headshot

A graduate of the University of Arizona in Computer Science and an MPA, Edwin Skidmore is CyVerse's Director of Infrastructure and leads CyVerse’s Cloud Native Services team to integrate cloud native technologies in CyVerse. Under his leadership, the Cloud Native Services team has already developed a portfolio of products and services that enable researchers to leverage and learn these technologies with minimal technical expertise, including DataWatch, CACAO, and the forthcoming CyVerse Cloud Native Toolkit. Edwin also contributes as senior staff to several of CyVerse's key collaborations with other NSF projects, including Jetstream2, Hydrogen, AIIRA, and COALESCE.

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