DescriptionThis tutorial introduces the working scientist, engineer or student to cloud computing. It surveys the technology that underpins the cloud, new approaches to technical problems enabled by the cloud, and the concepts required to integrate cloud services into scientific work. It covers managing data in the cloud, and how to program data services; computing in the cloud, from deploying single virtual machines or containers to supporting basic interactive science experiments to gathering clusters of machines to do data analytics; using the cloud as a platform for automating analysis procedures, machine learning, and analyzing streaming data; building your own cloud with open source software; and cloud security. The tutorial works best if you have Python and Jupyter installed on your laptop, but it can be enjoyed otherwise.
The tutorial is supported by a book, Cloud Computing for Science and Engineering, to be published by MIT Press in September 2017. The text of the book is also available online as a reference at https://Coud4SciEng.org, along with numerous Jupyter notebooks and other code samples. This site is the online resource for the book. It contains the Jupyter notebooks that are described in the book as well as additional material including lecture slides.