From Distributed Machine Learning Patterns by Yuan Tang
In this article, we introduce the collective communication pattern, which is a great alternative to parameter servers when the machine learning model we are building is not too large without having to tune the ratio between the number of workers and parameter servers.
From Distributed Machine Learning Patterns by Yuan Tang
In this article, we introduce the parameter server pattern which comes handy for situations where the model is too large to fit in a single machine such as one we would have to build for tagging entities in the 8 millions of YouTube videos.
From Learn Kubernetes in a Month of Lunches by Elton Stoneman
This article delves into getting started running pods with controllers in Kubernetes.
From Learn Docker in a Month of Lunches by Elton Stoneman
Logging is usually the most boring part of learning a new technology, but it’s not the case with Docker. The basic principle is simple: you need to make sure your application logs are written to the standard output stream, because this is where Docker looks for them. This can be achieved in a couple of ways, which we’ll cover in this article, and then the fun begins.
From Learn Kubernetes in a Month of Lunches by Elton Stoneman
