Presentation: Scaling and Monitoring Python in the Cloud (Activestate)

Thursday 3:30 p.m.–5 p.m.

Scaling and Monitoring Python in the Cloud (Activestate)

John Wetherill

Description

Just because your Python app is in the cloud doesn’t make scaling effortless. The cloud presents complex infrastructure and development challenges that ultimately bring resources to bear on you and your application.

Abstract

"]Just because your Python app is in the cloud doesn’t make scaling effortless. The cloud presents complex infrastructure and development challenges that ultimately bring resources to bear on you and your application.

Specifically, cloud applications require a multitude of interconnected hardware and software layers in a constant state of flux. These layers, (ie. the actual hardware, the stack it runs on, the PaaS you choose, and the Cloud Infrastructure) are, in many ways, intentionally abstracted away from the developer, making it difficult for you to fully control, or even understand the configuration behind your application.

In this presentation, ActiveState’s Diane Mueller, John Wetherill, & Todd Whiteman will share best practices for scaling and monitoring a Python-centric LAMP stack on the cloud for a range of web-based applications. We'll peel back the many layers of the cloud, and show you how to get the optimal mix of tools to ensure efficient scaling and resource management.

Learn how to:

Take simple applications and split them out across multiple machines without causing code rewrite headaches
Minimize your application's resource consumption and identify potential bottlenecks
Monitor resource consumption as your app scales within a PaaS, as well as the PaaS cluster itself