Development

TLDR; this article covers how to build a package for the PowerShell gallery. This is a great way to share your scripts and modules with others. You want to help the community, right? Of course, you do Here's the steps we are about to take: Author script. First you need to create a script. In this ...

Fast forward merge can be performed when there is a direct linear path from the source branch to the target branch. In fast-forward merge, git simply moves the ...

In certain situations, Git does a fast forward when you merge a branch that is ahead of the branch you have checked out. Learn more here.

Tools for building and working with docker containers in R - GitHub - thebioengineer/dockyard: Tools for building and working with docker containers in R

Determine system requirements from R packages using the RStudio Package Manager. This is a weekend project, not a real package, so please think twice before using it for anything serious. - getsys...

Locking down R package dependencies and versions is a solved problem, thanks to the easy-to-use renv package. System dependencies — those Linux packages that need to be installed to make certain R packages work — are a bit harder to manage. Option 1: Hard-coding The easiest option is to hard-code the system dependencies. I did this recently when I was creating a Dockerfile for a very simple Plumber API: RUN apt-get update -qq && apt-get -y --no-install-recommends install \ make \ libsodium-dev \ libicu-dev \ libcurl4-openssl-dev \ libssl-dev My Dockerfile used only three R packages and so its system dependencies were not complicated.

I went down a strange path recently, trying to compile binaries of R packages for Linux. I’m not sure why — this area is pretty much covered by the RStudio Package Manager. I’ll leave my Dockerfiles here in case they’re of any use to a future wayward R programmer. The intention here is to build a Docker image that can build an R binary with the below command. I’m trying to build x86 binaries on my ARM Macbook, so I’m specifying the platform during both build and run.

AWS has announced support for container images for their serverless computing platform Lambda. AWS doesn’t provide an R runtime for Lambda, and this was the excuse I needed to finally try to make one. An R runtime means that I can take advantage of AWS Lambda to put my R functions in the cloud. I don’t have to worry about provisioning servers or spinning up containers — the function itself is the star.

An attempt to get an R runtime and function working on AWS Lambda using a container. - r-on-lambda/Dockerfile at main · mdneuzerling/r-on-lambda

A collection of awesome rShiny packages, tools, addons and examples

CLIs are a fantastic way to build products. Unlike web applications, they take a small fraction of the time to build and are much more…

lambdr

A (somewhat) currated list of resources for R Shiny - GitHub - dpastoor/awesome-shiny: A (somewhat) currated list of resources for R Shiny

The source code for the AWS Lambda tutorials on the Worn Off Keys YouTube channel. - GitHub - AlexzanderFlores/Worn-Off-Keys-Lambda-Tutorials: The source code for the AWS Lambda tutorials on the Wo...

Learn how to use AWS Secrets Manager to rotate a secret for an AWS database that AWS Secrets Manager provided Lambda templates.

How To Use AWS Secrets Manager To Rotate Database Secrets. In this AWS Secrets Manager demo we are are to see how to set up AWS Secrets Manager to work with an AWS RDS Database to rotate AWS Secrets. In this tutorial, you will follow the steps to create a secret for an AWS database and configure the secret to rotate on a schedule. You trigger one rotation manually, and then confirm that the new version of the secret continues to provide access. We will create a MySQL database for this aws secrets tutorial and then we will use the Secrets Manager console to create your secret and populate the secret with the initial user name and password for your MySQL database. We will then use your new secret to test the credentials and ensure you can use them to connect to your database and then setup and test the rotation. You can follow along with the instructions from this AWS Secrets Manager video here: https://docs.aws.amazon.com/secretsmanager/latest/userguide/tutorials_db-rotate.html See how to create and connect to a MYSQL database to complete step 1 of this tutorial here:https://youtu.be/0VTaSbpMLxc AWS Database And Storage Full Playlist: https://youtube.com/playlist?list=PLJjrxjvQuqgAff6KvuPPXCACbBp5z3WaY Watch the full AWS SysOps Administrator/DevOPS Full Playlist: https://youtube.com/playlist?list=PLJjrxjvQuqgCgfcmYTlWNptIh7hZ8ka7Z ++++++For more information on how to successfully migrate applications to the cloud read our latest book Stress Free Cloud Migration. ----------https://amzn.to/3lTTz0J ****For more cloud consulting inquiries email info@rmstechnologyconsulting.com or visit www.rmstechconsulting.com Don't forget to hit the like button and subscribe if you found this video helpful! New videos added weekly. Submit video ideas in the comments below.

HTML tables can look stunning and nice too. Here are some scripts, plugins, and tools to achieve that.

Introducing the Dev Library, a curated archive of projects and articles built specifically using Google technologies.

Minimal Docker images for R. Contribute to r-hub/r-minimal development by creating an account on GitHub.

R configurations for Docker. Contribute to rocker-org/rocker development by creating an account on GitHub.

R configurations for Docker. Contribute to rocker-org/rocker development by creating an account on GitHub.

Introduction My Use Case Workflow Building the Docker image Uploading the docker image to Docker Hub Setting up Travis to use the Docker image References Introduction The below summarize the workflow I’ve converged on, after reading through various tutorials on Docker, examples, etc. If you’re here, I presume you have some interest in R package development and/or using Docker, which is a tool for containerizing an environment for running software.

Reusable, vendor-neutral, industry-specific, vendor-specific solution architecture patterns for enterprise

Slim.AI Container of the Week Series and Examples. Contribute to slimdevops/slim-containers development by creating an account on GitHub.

Expand your technical knowledge. Discover the Microsoft Azure glossary of need-to-know cloud computing terminology.

This is a guest post by Colin Gillespie from Jumping Rivers answering your questions from their most recent series of webinars, Practical Advice for Putting R in Production.

Resources and tools to help you build and operate a Modern Data Stack!