In this article, Jonas Braun reports on the most common way to use Kubernetes: with cloud providers like Google GCP, Amazon AWS or Microsoft Azure. In the article, he looks at how to deploy these containers (i.e. applications or models) reliably and scalably for customers, other applications, internal services or computations with Kubernetes. Finally, the article gives an outlook on tools and further developments.
The objective of this article is to show that fine-tuning Tesseract OCR on a small sample of data can already dramatically improve its OCR performance.
After having successfully run a simple R-script inside a Docker container before, we next attempt to repeat this process for entire apps built within the RShiny framework. Join me on the next step toward deploying your work done in R with the help of neat Docker containers!
In this blog post, Stephan explains how to translate a simple R script, which transforms tables from wide to long format into a REST API with the R package Plumber and how to run it locally or with Docker.