Skip to Content
Distributed Computing with Python
book

Distributed Computing with Python

by Francesco Pierfederici
April 2016
Intermediate to advanced
170 pages
3h 48m
English
Packt Publishing
Content preview from Distributed Computing with Python

Chapter 5. Python in the Cloud

The previous chapter introduced you to Celery and other tools that we can use to create distributed applications with Python. We explored a couple of different distributed computing architectures: distributed task queues and distributed objects. There is, however, an important theme that we did not cover in any depth so far. It is the deployment of our finished application on multiple machines. This is exactly what this chapter is about.

Here, we will look at Amazon Web Services (AWS), the leading provider of cloud services, and how to deploy our distributed applications on its infrastructure. Clearly, the cloud is not the only way to deploy applications, and in the next chapter, we will, in fact, look at another ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Distributed Machine Learning with Python

Distributed Machine Learning with Python

Guanhua Wang
Scientific Computing with Python - Second Edition

Scientific Computing with Python - Second Edition

Claus Führer, Claus Fuhrer, Jan Erik Solem, Olivier Verdier
Learning Python Networking - Second Edition

Learning Python Networking - Second Edition

José Manuel Ortega, Dr. M. O. Faruque Sarker, Sam Washington

Publisher Resources

ISBN: 9781785889691Supplemental Content