R Docker: How to Run Your R Scripts in a Docker Container
If you want to make a reproducible R environment, look no further than Docker. Here's a guide for getting started with R Docker.
21 December 2023
Appsilon Blog for R Shiny Apps, Computer Vision, and Open Source Tools
Tag: infrastructure
Posit x Databricks: A Game-Changing Synergy for Data Teams
Posit and Databricks have joined forces to revolutionize data science, explore what this means for the R community, data scientists and data engineers.
06 December 2023
How to Deploy RStudio (Posit) Workbench to AWS Using Terraform
Comprehensive tutorial on RStudio Workbench deployment to AWS with Terraform
26 September 2021
Scaling and Infrastructure – Why is My Shiny App Slow?
Scaling your Shiny apps at the infrastructure level with 2020 Shiny Contest Winner, Pedro Silva
24 August 2021
See Appsilon Presentations on Computer Vision and Scaling Shiny at Why R? 2020
Appsilon team members Jędrzej Świeżewski, PhD and Damian Budelewski will be giving presentations at the Why R? Conference on November 12th.
10 November 2020
Video: How to Scale Shiny Dashboards
In this video, Appsilon Co-Founder Damian Rodziewicz explains best practices for scaling Shiny applications in production to hundreds or even thousands of users.
18 October 2020
shiny.worker: Speed Up R Shiny Apps by Offloading Heavy Calculations
Appsilon has created a package to speed up R Shiny by offloading long-running calculations and unfreezing the Shiny UI.
26 August 2020
Why Remote Data Science Teams Should Use RStudio (Posit) Connect
Distributed data science teams bring unique challenges. Managers may be looking for new tools. In this article we’ll explain how RStudio Connect helps organizations to properly organize teams and overcome the typical inefficiencies of remote work.
23 May 2020