Docker and Virtualisation links

Docker for Java Developers: How to sandbox your app in a clean environment

Continuous Delivery with Docker Containers and Java EE

A Practical Introduction to Docker Container Terminology

ANNOUNCING DOCKER TOOLBOX

Docker cheat sheet







Why I love Docker

In my view Docker will enable the IT industry to adopt to DevOps and Microservices not by being a tool, but rather being a technology that fundamentally changes how we manage IT services. The practical difference is that we can now life-cycle manage everything isolated. If one application needs a new version of a JVM or PHP library they can safely upgrade without affecting other containerized applications. This enforces the organization to embrace DevOps culture and processes.

Docker also enables us to create small independent deployments, which is the foundation of Microservices architecture. This does however add another dimension to the problem, where we have to manage service dependencies. I’ll talk more about Microservers and how to manage remote dependencies in later blogs.
So to summon up, why I love Docker is not only that it’s easy to use, gives me high density and isolation, the main reason to me is that it’s going to change how we operate and manage applications. 

Data Science Visualization

Using Plotly for Interactive and Collaborative Data Visualization

Plotly is a collaborative data analysis and graphing platform. Plotly's Scientific Graphing Libraries interface Plotly's online graphing tools with the following scientific computing languages:

• Python
• R
• Matlab
• Julia

You can think of Plotly as "Graphics as a Service". It generates interactive, publication-quality plots that can be embedded in the locaiton of your choice. You can style them locally with code or via the online interface; plots can be shared publicly or privately with a url, and your graphs are accessible from anywhere.

Google Deep Dream (Neural Nets) with IPython

Deep Dreams (with Caffe)

This notebook demonstrates how to use Caffe neural network framework to produce "dream" visuals shown in theGoogle Research blog post.

It'll be interesting to see what imagery people are able to generate using the described technique. If you post images to Google+, Facebook, or Twitter, be sure to tag them with #deepdream so other researchers can check them out too.