In the last post, we have seen how Python can be used to control the generation of an EKS cluster. However, an EKS cluster without any worker nodes - and hence without the ability to start pods and services - is of very limited use. Today, we therefore take a look at the process of … Continue reading Python up an EKS cluster – part II
When you want to try out Kubernetes, you have several choices. You can install Kubernetes in a cluster, install it locally using Minikube, or use one of the Kubernets offerings of the major cloud providers like AWS, GCP or Azure. In this post, we set up a Kubernetes cluster on Amazons EKS platform. As I … Continue reading Python up an EKS cluster – part I
Docker containers are nice and offer a very lean and structured way to package and deploy applications. However, if you really want to run large scale containerized applications, you need more - you need to deploy, orchestrate and manager all your containers in a highly customizable and automated way. In other words, you need a … Continue reading Kubernetes – an overview
Its been a few days since I started to play with Paperspace, and I have come across a couple of interesting features that the platform has - enough for a second post on this topic. First, GIT integration. Recall that the usual process is to zip the current working directory and submit the resulting file … Continue reading More on Paperspace Gradient
So far, I have exclusively been using AWS EC2 when I needed access to a GPU - not because I have carefully compared the available offerings and taken a deliberate decision, but simply because I already had an EC2 account and know the platform. However, I though it would be interesting to try out other … Continue reading First steps with Paperspace Gradient
