Blog posts

2023

How to get from Sensor Data to a digital product

5 minute read

Published:

“We should digitalise our product! Digital twin, predictive maintenance, intelligent quality control: can’t we offer that too?” Service managers from the mechanical engineering sector are increasingly confronted with questions like these. Do such questions sound familiar to you? With this blogpost and the follow up blogpost as well as the underlying whitepaper I provide you with the technical and strategic answers as well as a fact-based introduction to the world of product digitalisation.

2022

Using AWS Lambda with custom container image for Machine Learning inference

8 minute read

Published:

Using serverless offerings from cloud providers has many advantages like no provisioning and managing of servers and automatic scaling. But serverless functions also come with some limitiations like complicated deployment package management, limited package size and limited RAM. Especially if you want to use lambda functions for Machine Learning model inference, these limitations can be quite restrictive. AWS also recognized that so since December 2020 they extended their lambda offering by container image support. In this post I’ll describe my experiences using aws lambda with custom container images and describe the ups and downs of this approach.