The document introduces the evolution of application infrastructure, highlighting advancements such as distributed software, easier programming languages, and improved statistical libraries. It emphasizes the integration of big data, APIs, and machine learning with web applications using tools like Docker, Kubernetes, and OpenShift. The document provides resources for setting up OpenShift and related tools for analysis and encourages contributions through pull requests.

2. Converging Big Data and
Application Infrastructure
Steven Pousty
OpenShift/Red Hat
@TheSteve0 on Twitter, IRC,SmugMug,Github,
Ingress, Instagram, Skype,and

3. Goals
1. Brief introduction to how things have evolved
2. Talk about what we have now
3. Demo of this in practice
4. Have fun!

4. Assumptions
1. You have written a web app at some point in your life
2. You know some basics of Spark and such

5. Where are we coming from

10. What about Apps?

11. This page intentionally left blank

12. Next Era

16. Welcome to Paradise

17. We have had some great developments
1. People figured out how to make commodity hardware do great things
2. Distributed software has gotten better
3. Programming languages have gotten easier
4. CS has put effort into statistical libraries
5. The browser has grown up

18. Example framework
Docker Containers
Kubernetes (via OpenShift)
Node.JS and Python
Spark (via Oshinko)

20. WINNING!

21. See it in Action

22. Wrap up

23. We are lucky
We can still do analysis on our desktop if we want
But now we can easily integrate
1. Data or APIs
2. Statistics and Machine Learning
3. Interactive Web Applications

24. To Do this on your own:
1. To run your own OpenShift either:
https://www.openshift.org/vm/
Or
oc cluster up (get oc here - https://github.com/openshift/origin/releases )
2. To get Oshinko:
https://github.com/radanalyticsio then you need oshinko-rest and oshinko-
console
3. For the word analysis app get it here:
https://github.com/ophicleide
We LOVE pull requests

25. Fin!