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Jillian Rowe

Jillian Rowe

Setup a High Content Screening Imaging Platform with Label Studio

Setup a High Content Screening Imaging Platform with Label Studio

For a few years now I have been on a quest to find a tool I really like for annotating HCS images using a web interface. I've used several tools, including a desktop application called LabelImg, and I have finally found a tool that checks all the boxes

Deploy RShiny with Kubernetes using AWS EKS and Terraform

Deploy RShiny with Kubernetes using AWS EKS and Terraform

Deploy RShiny on AWS EKS with Terraform Today we will be deploying the rocker/shiny image on Kubernetes with AWS, or EKS. If you're following along with the deploy RShiny on AWS Series, you'll know that I covered deploying RShiny with a helm chart . Today, I

Deploy RShiny with the Rocker/Shiny Docker Image

Deploy RShiny with the Rocker/Shiny Docker Image

If you are deploying RShiny with docker you can roll your own image , or you can use the rocker Dockerhub image . Which solution you go for will depend upon your own needs. Normally, I am using a lot of bioinformatics and/or data science packages and nothing really beats the

Deploy RShiny on Kubernetes with a Helm Chart

Deploy RShiny on Kubernetes with a Helm Chart

If you want a very robust solution to deploy your RShiny applications a managed Kubernetes service on AWS, or EKS, is a great choice! Kubernetes has, for now, fully dominated the DevOps and deployment space in terms of deploying containerized services. If you'd like to learn more about

Deploy RShiny on AWS EC2

Deploy RShiny on AWS EC2

If you're deploying applications on AWS one of the easier ways to get started is to simply deploy everything on EC2. If you're not familiar with AWS EC2, EC2 instances are compute instances. They are like your (linux) desktop, except that yous spin them up and

Deploy your RShiny App Locally with Docker

Deploy your RShiny App Locally with Docker

My favorite way to deploy RShiny locally is to simply package it into a docker image and run it. Running any application in docker makes it easily transportable, and is a generally acceptable way of distributing applications in 2019. This solution does not require rshiny-server or shinyapps.io, not because

Learn Apache Airflow By Example – 4 Part Series

Learn Apache Airflow By Example – 4 Part Series

Introduction I've been having a blast the last few months learning ApacheAirflow. It's become an indispensable tool in mygetting stuff done toolbox. Follow me on Twitter @jillianerowe, or send me a message with questions, topic suggestions, ice cream recommendations, or general shenanigans. * Learn Apache Airflow By