What’s new in the documentation for the 10.3.9 release?

What’s new in the documentation for the 10.3.9 release?

The DataMiner documentation is continuously growing and improving. That’s why from time to time we like to provide you with a summary of all things new in the DataMiner Docs.

Here’s a quick overview of the changes we’ve done to the documentation for DataMiner 10.3.9:

  • In DataMiner Cube, you now have the ability to hide the close button in the top-right corner of cards. You can also promote a card to Master card, ensuring that all new cards will open within it, regardless of the number of cards displayed in Cube.
  • SLProtocol is now a 64-bit process by default, which translates to improved performance and efficiency across the board.
  • The query filter component is now available to everyone! This dashboard feed allows you to filter and refine data based on specific criteria, giving you unprecedented control over your insights.
  • The button panel component is available now as well, enabling you to remotely monitor and orchestrate physical hardware buttons from anywhere and at any time.
  • An enhanced layout of the Comparison tool has been introduced.
  • Several improvements have been made to table data configuration in DataMiner Dashboards and Low-Code Apps, such as introducing cell parameters and eliminating the need for cross-matching.

Blog posts introducing the newest DataMiner features:

Not only have our Skyline developers been working tirelessly on perfecting the brand-new 10.3.9 features, many of them have also taken the time to delve into them through insightful blog posts.

Seamlessly monitor and control hardware panels remotely with the Button Panel visualization
Content Expert: Gilles Bara
SLProtocol will now run as a 64-bit process by default
Content Expert: Jan-Klaas Kesteloot
Enhanced table data configuration in dashboards and low-code apps
Content Expert: Kevin Mornie
The query filter component: A versatile building block for your dashboards and low-code apps!
Content Expert: Thibault Vincke

Want to write a blog post on a DataMiner-related topic yourself?

Have you spotted anything amiss in the DataMiner documentation or want to contribute your insights? Whether it’s an issue you’ve identified or a suggestion for improvement, we’d love to hear from you. Let us know by submitting an issue or proposing your changes on GitHub! And if you’re a DevOps Professional, this is an excellent opportunity to score some points in exchange for your expertise 😉

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