This is the introductory chapter to my new book, Bioinformatics Solutions on AWS.  (I am aware that the links surrounded by brackets don't work. This is meant to be a book, not a website, but I will use the power of find and sed in order to bend these pages to my will and I will make an upd...

Dask is a parallel computing library for Python. I think of it as being like MPI without actually having to write MPI code, which I greatly appreciate! Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love https://d...

If you want a very robust solution to deploy your RShiny applications a managed Kubernetes service on AWS, or EKS, is a great choice! Kubernetes has, for now, fully dominated the DevOps and deployment space in terms of deploying containerized services. If you'd like to learn more about deploying...

Recap Up until this point we covered:  Building a custom docker container using the official python miniconda container as our base.  Interactively running commands in our custom image  Giving docker build time instructions and run time instructions with RUN and CMD. ...

I am currently taking the Udacity Machine Learning Engineer Nanodegree, and as a part of my project I wanted to deploy my dockerized machine learning model, along with a (very) simple front end interface, to AWS. I needed to review some materials, and realized I was having a lot of trouble find...