ShinyProxy is a novel, open source platform to deploy Shiny apps for the enterprise or larger organizations. Secured Embedding of Shiny Apps Since version 2.0.1 ShinyProxy provides a REST API to manage (launch, shut down) Shiny apps and consume the content programmatically inside broader web applications or portals. This allows to cleanly separate the responsiblity for the Shiny apps (data science teams) and those broader applications (IT teams) while still achieving seamless integration between the two from the user’s perspective.
ShinyProxy is a novel, open source platform to deploy Shiny apps for the enterprise or larger organizations. CPU / Memory constraints for apps internet facing apps already had old memory, now all options autoscaling etc. Secrets management example Daan exposing Kubernetes Miscellaneous improvements long wait time, underlying Kubernetes client useR!2019 tutorial including ShinyProxy Full release notes can be found on the downloads page and updated documentation can be found on https://shinyproxy.
ShinyProxy is a novel, open source platform to deploy Shiny apps for the enterprise or larger organizations. Since our previous blog post five releases took place, so it is time to provide the ‘state of affairs’ before venturing into the New Year. Kerberos and Co To some Kerberos is a multi-headed dog that guards the gates of the Underworld. To others it is enterprise technology that protects corporate networks and offers single sign-on for network services.
ShinyProxy is a novel, open source platform to deploy Shiny apps for the enterprise or larger organizations. Embedding Shiny Apps Although Shiny apps are very popular for interactive data analysis purposes, many organizations communicated a need to more closely integrate these apps within larger applications and portals. In previous releases we broke down the walls to make this happen: hiding the navbar, single-sign on, theming the landing page and advanced networking support were only a few steps in that direction.
Here in Belgium, World Cup fever is at fever pitch, but with matches starting during work hours, how is a desk worker supposed to follow along? By leaving the R environment? Blasphemy. Today we show how to use R to generate live desktop notifications for The Beautiful Game. A notification system preview, free of local bias. Overview We break the process of producing a live score notification into the following steps:
ShinyProxy is a novel, open source platform to deploy Shiny apps for the enterprise or larger organizations. Theming ShinyProxy 1.1.1 is in essence a maintenance release, but there is one new feature that has been on the wish list of our users for a long time: the possibility of theming the landing page of ShinyProxy which displays the overview of the Shiny apps. The standard display when using the ShinyProxy demo image from the Getting Started guide is a plain listing:
ShinyProxy is a novel, open source platform to deploy Shiny apps for the enterprise or larger organizations. Scalability In our previous release (see this blog post) we announced our focus on scalability with support for Docker Swarm back-ends. With version 1.1.0 we moved to hyperscaling Shiny apps in the datacenter by adding support for Kubernetes. We have used it for customers that roll out internet-facing Shiny apps with high numbers of concurrent users and needs for automated deployment.
Phaedra is an open source platform for data capture and analysis of high-content screening data. With the release of Phaedra 1.0.2, we are taking another step towards our goal of unprecedented flexibility in supported setups, ranging from a single small Mac desktop to a cloud-based infrastructure with multiple servers and an array of mixed Windows/Mac/Linux clients. The initial release of Phaedra supported only the Windows platform. Update 1.0.1 introduced Phaedra on the Mac and Linux desktops, and allowed you to deploy a DataCapture server on Linux servers as well.
Motivation Have you ever had the feeling that the creation of your data analysis report(s) resulted in looking up, copy-pasting and reuse of code from previous analyses? This approach is time consuming and prone to errors. If you frequently analyze similar data(-types), e.g. from a standardized analysis workflow or different experiments on the same platform, the automation of your report creation via an R ‘template’ package might be a very useful and time-saving step.
ShinyProxy is a novel, open source platform to deploy Shiny apps for the enterprise or larger organizations. Since our last blog post ten new releases of ShinyProxy have seen the light, but with the 1.0.2 release it is time to provide an overview of the lines of development and advances made. Scalability ShinyProxy now allows to run 1000s of Shiny apps concurrently on a Docker Swarm cluster. Moreover, ShinyProxy will automatically detect whether the Docker API URL is a Docker Engine API or a Swarm cluster API.