There’s already a ton of great TensorFlow tutorials, Jupyter notebooks, and MOOCs out there. As someone who’s worked through quite a few this year, one stumbling block was that many tutorials would use terms I wasn’t familiar with. In addition, many of the tutorials use different levels of the TensorFlow…

It’s been over half a year since I last wrote about Django on Kubernetes, along with Postgres and Redis containers, and I wanted to update it to talk about one of the most exciting projects to emerge in the Kubernetes ecosystem in the last year — Minikube. Minikube makes it…

It’s no secret I’m a big fan of Container Engine (Google’s managed Kubernetes) as a way to seamlessly run your containers across a cluster of VMs. However, it’s far from the only way to run containers on Google Cloud. One slightly obvious option is to start Google Compute Engine instances…

This is the second part of my series on deploying a Django app to Kubernetes. Click here to read the first part, where I walked through containerizing a Django app and running it on Kubernetes with just the in-memory cache and SQLite database. …

Django is one of the most popular open-source web frameworks, and perhaps no Django user is more notable than Instagram, who went into deep detail on how they setup their Django stack on their blog post. While they use a variety of technologies, the most prominent parts of the stack…