Deploy a project with multiple R scripts and {renv}-managed environment to AWS Lambda It has been a while since I’ve had the chance to work on my {r2lambda} project. In particular, there were a couple of good points made by a user on GitHub about functionality that ... [Read more...]

I ended my previous post Using uv to manage the environment for a Python Shiny app and setting up a GitHub action to publish it to Posit Connect with: Posit Connect can only listen to branches, so the idea is to have a deploy branch which Connect publ... [Read more...]

In a previous post I wrote about how to connect to MotherDuck from R. However, the process described there, where you click in the browser to authenticate, wouldn’t really work with a Shiny app, or for that matter with any productionized setup. A... [Read more...]

I am involved in a Posit Team deployment, and one of the things that we are looking into is default R packages that should be made available to all users. We are looking to do this because we would like to avoid people installing, for example tidyverse... [Read more...]

With DuckDB releasing version 1.0.0 on June 3rd, and MotherDuck following with the general availability announcement on June 11th, it is a perfect opportunity to see how both can be used from R. I work for an organization where R is the default languag... [Read more...]

In this post I am documenting step-by-step the process of deploying dev/stage/prod environments and instances of a {plumber} API on AWS AppRunner using AWS Copilot. This is an expanded follow up to a previous post on the topic. Prerequisites To manage AWS resources, we need the AWS command ... [Read more...]

In my previous post, I developed a shiny module to encapsulate the logic of sending and monitoring background async tasks. The main advantage of this approach was to simplify making repeated async calls in larger applications. In the first version of t... [Read more...]

In the R/Shiny community we are fortunate to have several approaches for async programming. It is an active field of development with a variety of options depending on the needs of the application. For examples and deeper overviews of the state of asyn... [Read more...]

Today, together with a friend who is looking to get into data analytics, I started doing the 100 days of Python challenge at Replit. I thought it would be a good idea to do the challenges in R, because why not. :) So, I am at day 2 (whoohooo I did two ... [Read more...]

ShinyProxy on DigitalOcean For the remainder of this walkthrough, I’ll assume that a DigitalOcean droplet running ShinyProxy is already set up. The great people at Analythium have made setting up an encrypted ShinyProxy server seamless with their... [Read more...]

How to render and use buttons in tables is a relatively common task faced by {shiny} developers. Commonly, buttons in tables are used for getting more details about a row of data, for opening modal panels for user input, for displaying charts, a... [Read more...]

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Every now and then there is a question on the R4DS slack that produces a large number of replies. This case was particularly interesting because the user that had the issue deleted all the original content, the question, the clarifications and so on. ... [Read more...]

Creating custom HTML tables with icons can be a great way to display data. In some cases, like when we have a few, heterogeneous data points, it is better than creating charts or using feature-rich table widgets that come with a lot of dependencies (e... [Read more...]

Overview At the end of this tutorial, we would have created an AWS Lambda function that fetches the most-recent Tidytuesday dataset and writes it into an S3 Bucket every Wednesday. To do this, we’ll first work interactively with {r2lambda} and {p... [Read more...]

A common use of the AWS Lambda service is to set a function to run on a recurring schedule, e.g. to collect logs, move data, or perform some ETL process. In this post, we’ll see how we can set up an AWS Lambda function, running R, on a ... [Read more...]

Use {r2lambda} to download Tidytuesday dataset In this exercise, we’ll create an AWS Lambda function that downloads the tidytuesday data set for the most recent Tuesday (or most recent Tuesday from a date of interest). Required packages library(r... [Read more...]

Creating AWS Lambda functions from R code can be a powerful way to make our local R code available in the cloud as an on-demand serverless service. In recent weeks I’ve been working on my package r2lambda to build and deploy AWS Lambda functions ... [Read more...]

Docker-based variant-calling pipelines Encapsulating large and complex software applications or packages in docker images makes sense for many reasons. Not least because of a one-line install protocol (i.e., docker pull) that takes care of the plethora of dependencies that many of these packages have. This is especially true in ... [Read more...]

Overview and motivation AWS Lambda is a serverless compute service that lets us deploy any code as a cloud function without worrying about setting up a compute server (for example like discussed here and here). The code can be deployed as a zip archive or a container image. In the ... [Read more...]