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Helper Instructions

Each example app is self-contained and can be deployed to a Cloud Foundry instance with $ cf push.

The slides are available at https://speakerdeck.com/ihuston/pydata-london-2015-getting-started-with-cloud-foundry-for-data-science.

What participants need to do:

  1. Register on http://run.pivotal.io
  2. Download CF CLI from https://github.com/cloudfoundry/cli
  3. Clone the tutorial repo from http://github.com/ihuston/python-cf-examples OR download file at http://tinyurl.com/cf-pydata

Getting Started

If you do not have an account on a Cloud Foundry installation you can register for a free trial at Pivotal Web Services (PWS) http://run.pivotal.io.

Download the Cloud Foundry Command Line Interface from the CF management console or the CF Github repo: https://github.com/cloudfoundry/cli. This provides the cf command which you will use to interact with a CF installation.

Target the CF installation API with cf api. For example for PWS:

$ cf api https://api.run.pivotal.io

Pushing your first app

The first app is in the folder 01-simple-python-app. Have a look at the code and then deploy using cf push.

You can inspect the app's streaming logs using cf logs myapp.

You can scale your app by changing the number of instances and the available RAM:

$ cf scale myapp -i 5
$ cf scale myapp -m 256M

Pushing an app with PyData dependencies

The second app is in the folder 02-pydata-spyre-app. This app is built using Spyre by Adam Hajari.

This application uses a new feature of the official Python buildpack to provision dependencies using conda.

The environment.yml file contains the conda environment specification. The buildpack detects this file and uses conda instead of pip to install the dependencies.

Push the app using cf push and visit the app URL to see a simple interactive visualisation.

Using data services

The third app is in the folder 03-services-redis.

Services provide persistent storage and other useful resources for your applications.

First, create a free Redis service provided by Rediscloud:

$ cf create-service rediscloud 30mb myredis

You can bind this to your apps making it available via the VCAP_SERVICES environmental variable.

$ cf bind-service myapp myredis

Look at the environmental variables your app has with cf env myapp.

Now you can push the third app which uses Redis as its backing store.

The manifest specifies that this app should be bound to the myredis service instance that you just created.

Putting it all together

The fourth app is in the folder 04-learning-api.

We can put everything we've learned into practice by building our own simple machine learning API.

Don't forget to stop all your apps when you are finished.