GoogleCloudPlatform/lb-app-capacity-tutorial-python

Name: lb-app-capacity-tutorial-python

Owner: Google Cloud Platform

Description: null

Created: 2018-01-03 10:01:34.0

Updated: 2018-02-21 22:50:16.0

Pushed: 2018-01-22 07:06:52.0

Homepage: null

Size: 9

Language: Python

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README

Optimizing Application Capacity with Global Load Balancing

This is a repository with sample code to go along with the tutorial at https://cloud.google.com/solutions/capacity-management-with-load-balancing and is provided for reference. It is not intended to be used in production, but to serve as a learning tool and starting point for testing application capacity in GCE.

Prerequisites

• The tutorial assumes you are familiar with Google Compute Engine. The Python code provided requires Python 2 and the NumPy (www.numpy.org) and Matplotlib (https://matplotlib.org) libraries which are installed on all VMs by using the tutorial.

Components

Webserver script

This tutorial includes a webserver.py script which runs a simple Threaded HTTP Server that calculates and displays a standard Mandelbrot set when a request comes in to the root (/) path.

This is to simulate a complex CPU bound workload which is performance tested in a single instance, single region load balanced and multi region load balanced configuration during the tutorial.