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We’re excited to announce a powerful new ability to organize content in RStudio Connect: version 1.5.0. Tags allow publishers to arrange what they’ve published and enable users to find and discover the content most relevant to them. The release also includes a newly designed (and customizable!) landing page and multiple important security enhancements.

New landing page in RStudio Connect v1.5.0

Tagging Content with a Custom Tag Schema

Tags can be used to manage and organize servers that have hundreds or even thousands of pieces of content published to them. Administrators can define a custom tag schema tailored to their organization. Publishers can then organize their content using tags, allowing all users to find the content they want by navigating through the tag schema.

See more details in the video below:

 

 

New Landing Page

The default landing page has been given a fresh look. Even better, administrators can now customize the landing page that logged out users will see when they visit the server. More details here.

Security Enhancements

This release includes multiple important security enhancements, so we recommend deploying this update as soon as possible. Specifically, this release adds protection for cross-site request forgery (CSRF) attacks and fixes two bugs around account management that could have been used to grant an account more permissions than it should have. These bugs were identified internally and we are not aware of any instances of these issues being exploited against a customer’s server.

Other notable changes this release:

  • [Authentication].Lifetime can be used to define the duration of a user’s session (the lifetime of their cookie) when they log in via web browser. It still defaults to 30 days.
  • Servers configured to use password authentication can now choose to disable user self-registration using the [Password].SelfRegistration setting. By default, this feature is still enabled.
  • Added experimental support for using PostgreSQL instead of SQLite as Connect’s database. If you’re interested in helping to test this feature, please contact support@rstudio.com.
  • Allow user and group names to contain periods.
  • Added support for the config package. More details here.
  • Formally documented the configuration settings that support being reloaded via a HUP signal. Settings now mention “Reloadable: true” in the documentation if they support reloading.
  • Renamed the “Performance” tab for Shiny applications to “Runtime.”
  • Further improve database performance in high-traffic environments.

If you haven’t yet had a chance to download and try RStudio Connect we encourage you to do so. RStudio Connect is the best way to share all the work that you do in R (Shiny apps, R Markdown documents, plots, dashboards, etc.) with collaborators, colleagues, or customers.

You can find more details or download a 45 day evaluation of the product at https://www.rstudio.com/products/connect/. Additional resources can be found below.

We’re excited to announce the release of RStudio Connect: version 1.4.6. This is an incremental release which features significantly improved startup time and support for server-side Shiny bookmarks.

Creating a server-side Shiny bookmark in RStudio Connect

Improved Startup & Job Listing Time

We now track R process jobs in the database which allows us to list and query jobs much more quickly. This decreases the startup time of the RStudio Connect service — allowing even the busiest of servers to spin up in a matter of seconds. Additionally, operations that involve listing jobs such as viewing process logs for a particular application should be noticeably faster.

Server-Side Shiny Bookmarks

Shiny v0.14 introduced a feature by which users could bookmark the current state of the application by either encoding the state in the URL or saving the state to the server. As of this release, RStudio Connect now supports server-side bookmarking of Shiny applications.

Other notable changes this release:

  • BREAKING: Changed the default for Authorization.DefaultUserRole from publisher to viewer. New users will now be created with a viewer account until promoted. The user roles documentation explains the differences. To restore the previous behavior, set DefaultUserRole = publisher. Because viewer users cannot be added as collaborators on content, this means that in order to add a remote user as a collaborator on content you must first create their account, then promote them to a publisher account.
  • Fixed a bug in the previous release that had broken Applications.ViewerOnDemandReports and Applications.ViewerCustomizedReports. These settings are again functional and allow you to manage the capabilities of a viewer of a parameterized report on the server.
  • Tune the number of concurrent processes to use when building R packages. This is controlled with the Server.CompilationConcurrency setting and passed as the value to the make flag -jNUM. The default is to permit four concurrent processes. Decrease this setting in low memory environments.
  • The /etc/rstudio-connect/rstudio-connect.gcfg file is installed with more restrictive permissions.
  • Log file downloads include a more descriptive file name by default. Previously, we used the naming convention <jobId>.log, which resulted in file names like GBFCaiPE6tegbrEM.log. Now, we use the naming convention rstudio-connect.<appId>.<reportId>.<bundleId>.<jobType>.<jobId>.log, which results in file names like rstudio-connect.34.259.15.packrat_restore.GBFCaiPE6tegbrEM.log.
  • Bundle the admin guide and user guide in the product. You can access both from the Documentation tab.
  • Implemented improved, pop-out filtering panel when filtering content, which offers a better experience on small/mobile screens.
  • Improvements to the parameterized report pane when the viewer does not have the authority to render custom versions of the document.
  • Database performance improvements which should improve performance in high-traffic environments.

Upgrade Planning: The migration of jobs from disk to the database may take a few minutes. The server will be unavailable during this migration which will be performed the first time RStudio Connect v1.4.6 starts. Even on the busiest of servers we would expect this migration to complete in under 5 minutes.

If you haven’t yet had a chance to download and try RStudio Connect we encourage you to do so. RStudio Connect is the best way to share all the work that you do in R (Shiny apps, R Markdown documents, plots, dashboards, etc.) with collaborators, colleagues, or customers.

You can find more details or download a 45 day evaluation of the product at https://www.rstudio.com/products/connect/. Additional resources can be found below.

We’re excited to announce the release of RStudio Connect: version 1.4.4.1. This release includes the ability to manage different versions of your work on RStudio Connect.

Managing old versions of deployed content in RStudio Connect

Rollback / Roll Forward
The most notable feature of this release is the ability to “rollback” to a previously deployed version of your work or “roll forward” to a more recent version of your work.

You can also download a particular version, perhaps as a starting place for a new report or application, and delete old versions that you want to remove from the server.

Other important features allow you to:

  • Specify the number of versions to retain. You can alter the setting Applications.BundleRetentionLimit to specify how many versions of your applications you want to keep on disk. By default, we retain all bundles eternally.
  • Limit the number of scheduled reports that will be run concurrently using the Applications.ScheduleConcurrency setting. This setting will help ensure that your server isn’t overwhelmed by too many reports all scheduled to run at the same time of day. The default is set to 2.
  • Create a printable view of your content with a new “Print” menu option.
  • Notify users of unsaved changes before they take an action in parameterized reports.

The release also includes numerous security and stability improvements.

If you haven’t yet had a chance to download and try RStudio Connect we encourage you to do so. RStudio Connect is the best way to share all the work that you do in R (Shiny apps, R Markdown documents, plots, dashboards, etc.) with collaborators, colleagues, or customers.

You can find more details or download a 45 day evaluation of the product at https://www.rstudio.com/products/connect/. Additional resources can be found below.

We’re excited to announce the latest release of RStudio Connect: version 1.4.2. This release includes a number of notable features including an overhauled interface for parameterized R Markdown reports.

Enhanced Parameterized R Markdown Reports

Enhanced Parameterized R Markdown Reports

The most notable feature in this release is the ability to publish parameterized R Markdown reports that are easier for anyone to customize. If you’re unfamiliar, parameterized R Markdown reports allow you to inject input parameters into your R Markdown document to alter what analysis the report performs. The parameters of your R Markdown report are now visible on the left-hand sidebar, allowing users to easily tweak the inputs to the document and quickly view the output in the browser.

Users even have the opportunity to create private versions of the report which they can schedule to run again, email, or save and revisit in the browser. Of course, you can continue to use the wide variety of output formats (notebooks, dashboards, books, and others) while using parameterized R Markdown.

In addition to the parameterized report overhaul, there are some other notable features included in this release.

  • Content private by default – Content is set to private (“Just Me”) by default. Users can still change the visibility of their content before publishing, as before.
  • Execute R as the authenticated viewer – You can now choose to have some applications execute their underlying R process as the authenticated viewer currently looking at the app. This allows applications to access any data or resource that the associated user has access to on the server. Requires PAM authentication. More details here.

Other important features include:

  • Show progress indicator when updating a report.
  • Users can now filter content to include only items that they can edit or view.
  • Users now only count against the named user license limit after they log in for the first time.
  • Added support for global “System Messages” that can display an HTML message to your users on the landing pages. Details here.
  • Updated packrat to gain more transparency on package build errors.
  • Updated the list of SSL ciphers to correspond with modern best-practices.

If you haven’t yet had a chance to download and try RStudio Connect we encourage you to do so. RStudio Connect is the best way to share all the work that you do in R (Shiny apps, R Markdown documents, plots, dashboards, etc.) with collaborators, colleagues, or customers.

You can find more details or download a 45 day evaluation of the product at https://www.rstudio.com/products/connect/. Additional resources can be found below.

We’re thrilled to officially introduce the newest product in RStudio’s product lineup: RStudio Connect.

You can download a free 45-day trial of it here.

RStudio Connect is a new publishing platform for all the work your teams do in R. It provides a single destination for your Shiny applications, R Markdown documents, interactive HTML widgets, static plots, and more.

RStudio Connect Settings

RStudio Connect isn’t just for R users. Now anyone can interact with custom built analytical data products developed by R users without having to program in R themselves. Team members can receive updated reports built on the same models/forecasts which can be configured to be rebuilt and distributed on a scheduled basis. RStudio Connect is designed to bring the power of data science to your entire enterprise.

RStudio Connect empowers analysts to share and manage the content they’ve created in R. Users of the RStudio IDE can publish content to RStudio Connect with the click of a button and immediately be able to manage that content from a user-friendly web application: setting access controls and performance settings and viewing the logs of the associated R processes on the server.

Deploying content from the RStudio IDE into RStudio Connect

RStudio Connect is on-premises software that you can install on a server behind your firewall ensuring that your data and R applications never have to leave your organization’s control. We integrate with many enterprise authentication platform including LDAP/Active Directory, Google OAuth, PAM, and proxied authentication. We also provide an option to use an internal username/password system complete with user self-sign-up.

RStudio Connect Admin Metrics

RStudio Connect has been in Beta for almost a year. We’ve had hundreds of customers validate and help us improve the software in that time. In November, we made RStudio Connect generally available without significant fanfare and began to work with Beta participants and existing RStudio customers eager to move it into their production environments. We are pleased that innovative early customers, like AdRoll, have already successfully introduced RStudio Connect into their data science process.

“At AdRoll, we have used the open source version of Shiny Server for years to great success but deploying apps always served as a barrier for new users. With RStudio Connect’s push button deployment from the RStudio IDE, the number of shiny devs has grown tremendously both in engineering and across teams completely new to shiny like finance and marketing. It’s been really powerful for those just getting started to be able to go from developing locally to sharing apps with others in just seconds.”

– Bryan Galvin, Senior Data Scientist, AdRoll

We invite you to take a look at RStudio Connect today, too!

You can find more details or download a 45 day evaluation of the product at https://www.rstudio.com/products/connect/. Additional resources can be found below.