What’s new in the documentation for the 10.4.6 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 10.4.6:

• By adding a connection interface from GQI to SLNet, we’ve introduced the ability to use existing NuGets and helpers, such as the Class Library, within ad hoc data sources and custom operators.
• Multiple exciting changes have been made to the DataMiner Dashboards and Low-Code Apps modules:
  • In line & area charts visualizing GQI data, you can now display multiple lines on multiple Y axes and customize tooltip content to your preferences. Moreover, we have added zooming and panning functionalities to enrich data interaction.
  • You now wield complete autonomy in positioning nodes within a node edge graph, leveraging location data from your data set. Additionally, you can integrate custom images into node shapes and freely resize them as desired.

• You can now migrate existing data to Storage as a Service (STaaS) using a proxy.
• A new BPA test is available that checks if any protocols or Automation scripts use a deprecated or outdated MySql.Data.dll file.

But those are not the only things we’ve changed recently!

• A new section dedicated to GQI logging has been added to the user guide, featuring instructions on enabling logging, locating log files within your file explorer, and more.
• A best practices guide has been introduced to help you create Correlation rules.
• The documentation on specifying data input in a dashboard or app URL has been completely updated.
• If you’re embarking on your journey with DataMiner Object Models (DOM), our new Getting started with DOM documentation is tailor-made to guide you through the initial steps.
• Explore our new tutorials:
  • Gaining insights using time-scoped relation learning: In this 20-minute tutorial, you’ll learn how to select a time range where a parameter exhibits irregular behavior and witness how DataMiner automatically assists you in identifying the root cause of the problem.
  • Using information templates for enhanced parameter presentation and monitoring: In this 20-minute tutorial, you’ll learn to configure and use an information template to enhance the presentation and monitoring of satellite earth station parameters.
  • Responding to element timeouts using Correlation: In this 15-minute tutorial, you’ll learn how to use DataMiner Correlation to take action when an element is in timeout for longer than 5 minutes.