Palette Trust

Automated Tableau Server monitoring and status notification

With Palette Trust Tableau Server administrators can communicate outage notifications, including direct communications and automated outage notifications directly on Tableau Server. Palette Trust automatically polls Tableau Server for internal process statuses and creates notifications based on predefined rules. No more automated messages sent through distribution lists to interrupt and be ignored.


  • Communicates planned outages and maintenance windows directly on Tableau Server.
  • Fallback status page in case Tableau Server goes down.
  • Handles multiple clusters in one Palette Trust instance.
  • Automatically creates notifications for users displayed directly in Tableau if outage occurs.
  • Sends email notification about relevant status changes, if required.

System Requirements
Palette Trust Server

  • RedHat6+ with at least 1 CPU, 2 GB RAM, 16 GB hard disk
  • SMTP server for sending email notifications

Palette Trust Frontend

  • Web browsers: Chrome 47+, Firefox 43+, Edge 14+

Palette Trust Popup

  • Tableau Server 10.5 -2019.2
  • Web browsers: Chrome 47+, Firefox 43+, Edge 14+

Contact an expert:
Zsolt Bárdi
Product Manager
[email protected]

Secure Extension Gallery for Tableau

Take full control over your Tableau extensions security. Create your own gallery of sandboxed Tableau extensions with the ability to whitelist trusted external resources.

Managed Data Services

Today’s data platforms are complex, dynamic environments critical to the success of your organization. Starschema’s managed data services ensure high availability and peak performance while reducing operational costs of your data pipeline.

Advanced Techniques for Innovative Data Visualizations

In this on-demand webinar, Ivett Kovacs, Tableau Ambassador, shares advanced techniques used to build innovative visualizations with Tableau and how to apply these techniques in real life. She covers drawing with numbers, applying geometric functions, densifying data, and layering.