Summary and Schedule
ATTENTION This is an experimental test of The Carpentries Workbench lesson infrastructure. It was automatically converted from the source lesson via the lesson transition script.
If anything seems off, please contact Zhian Kamvar zkamvar@carpentries.org
The cloud is a fancy name for the huge network of computers that host your favorite websites, stream movies, and shop online, but you can also harness all of that computing power for running analyses that would take days, weeks or even years on your local computer.
In this lesson, you’ll learn about renting cloud services that fit your analytic needs, and how to interact with one of those services (AWS) via the command line.
Prerequisites
This lesson assumes a working understanding of the bash shell. If you haven’t already completed the Shell Genomics lesson, and aren’t familiar with the bash shell, please review those materials before starting this lesson.
Windows users will need to install PuTTY. See the installation instructions in Setup.
Setup Instructions | Download files required for the lesson | |
Duration: 00h 00m | 1. Why of cloud computing |
What is cloud computing? What are the tradeoffs of cloud computing? |
Duration: 00h 05m | 2. Logging onto Cloud | How do I connect to an AWS instance? |
Duration: 00h 15m | 3. Fine tuning your Cloud Setup |
Is my remote computer correctly configured? How do I keep my processing going when I leave? |
Duration: 00h 30m | 4. Which Cloud for my data? |
What cloud resources are available? How do I choose my resources? |
Duration: 01h 00m | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.
This workshop is designed to be run on pre-imaged Amazon Web Services (AWS) instances. For information about how to use the workshop materials, see the setup instructions on the main workshop page. The Cloud Genomics lesson requires no additional setup.