Automation, AWS Lambda

AWS Lambda Size: PIL+TF+Keras+Numpy?

At Wehkamp we’ve been using machine learning for a while now. We’re training models in Databricks (Spark) and Keras. This produces a Keras file that we use to make the actual predictions. Training is one thing, but getting them to production is quite another!

The main problem we’ve faced was that it was too big to actually fit into a lambda. This blogs shows how we’ve dealt with that problem.


Taming Unit Test logging in Docker pipeline for .NET

The main problem of a CI/CD pipeline – in my opinion – is logging. When it logs too little you don’t know what’s going on, when it logs to much you can’t see the trees to the forest. Having too much logging can seriously impact the effectiveness of your CI/CD pipeline. This script will improve Xunit unit test output.