UC Berkeley research labs have been at the forefront of the design and planning for much of today's cloud computing industry. Meanwhile the University's own teams run cloud based production systems including those that support the teaching of data science using platforms like Jupyterhub (also developed at UC Berkeley). This meetup is aimed at bringing together students, researchers, faculty, IT staff and the wider local community to learn, share and discuss our work in designing and operating services built on cloud computing architectures. This is a welcoming, inclusive community and hosts meetups that are open to everyone with curiosity in the topic -- no need to have any technical knowledge or experience to join!
We will feature speakers and engaging discussions around current issues in cloud computing often with an enterprise focus. Presenters are invited to share their experience with a ~15 minute story framed around 3 questions:
1) WHY - Start with Why & the business value/value to mission. Why did you need cloud computing? Describe the big vision, business problem and/or academic challenge (not technical!) that you were trying to solve. (For example, teaching thousands of Berkeley students data science and making it come alive, or enabling citizen scientists around the world to crowdsource bird migration data to ascertain patterns...)
2) HOW - How did you end up using cloud computing to solve the challenge? How did you architect, build, design, etc. How do the pieces fit together and how does it work?
3) WHAT - What was the result? What did you learn? Share your war stories, lessons learned, insights, gotchas etc.
For speaker presentations and meetup content, check out our website: