Additional Material

In various chapters in the book we make references to demos and lectures that can be found on-line.  Much of this is located in a Github site we keep for the book.  Below are links to a few of these

  1. Chapter 6 (Containers) references is simple Dockerfile for building a trivial web site.  The source code for that demo is linked here.
  2. In the Kinesis Array of Things example  in the book there is a data file you need and a program that will send the events to Kinesis. This is illustrated in Notebook 18.  The folder with more code and the data is Kinesis-spark-Aot.
  3. Chapter 7 (Scaling deployments) contains an MPI C program that sends a token down a line: You can find this program and a related ring version in the Github site at aws-hpc-cluster, along with a simple C program that show how to invoke a python program.
  4. The demonstration of the small microservice document classifier demo used the EC2 Container Service is also in the Github repo in directory aws-ml-container.  This goes along with Notebooks  10 and 11.
  5. Chapter 7 (Scaling deployments) presents a Kubernetes example that uses a Celery program. There is no notebook for this example, but the basic components for the solution are in Github in file gcloud-container.

Tutorial Files

Here is a gzipped, downloadable tarball containing the lecture slides, exercises, and all notebooks: tutorial.zip or  tutorial.tar.gz

Lecture Slides

The slides for the 2017 IEEE Cloud Engineering Workshop are linked here.

  • Tutorial Introduction  (ppt) (pdf)
  • Storage (ppt) (pdf)
  • Virtual machines and containers (ppt) (pdf)
  • Scaling, clusters and microservices (ppt) (pdf)

Tutorial Container

We have put together a container based on jupyter/all-spark-notebook with additional installed SDKs for Azure and AWS.  The notebook is accurate as of 3/28/2017.   However there is a self-signed certificate so you will need to accept security exceptions to run it.   To invoke it with Docker do:

docker run -it -p 8888:8888 dbgannon/tutorial

and go to https://ip-of-host:8888 and login with password “tutorial”.

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