Real-time updates are coming to the Generic Query Interface!

Real-time updates are coming to the Generic Query Interface!

If you’ve worked with dashboards or Low-Code Apps, you probably know how useful and versatile the Generic Query Interface (GQI) can be. GQI allows you to access and analyze any type of data, whether it originates from your DataMiner System or an external source. With GQI, you can create stunning dashboards and Low-Code Apps that display your data in various ways, such as charts, tables, timelines, and more. On top of all that, we are now introducing real-time updates, further enhancing your GQI visualizations!

From drawback to advantage

Currently, GQI’s biggest limitation is that it shows a static snapshot of the data at the time of executing the query. This means that any subsequent changes to the data remain unaccounted for in the GQI visualization.

To overcome this limitation, you can use a trigger component to fetch the GQI query every defined interval. However, this workaround has its drawbacks: it exerts additional strain on your DataMiner System by fetching substantial amounts of unchanged data and introduces a delay between the data updates and the GQI visualization updates.

Fortunately, the introduction of real-time updates will completely eliminate these drawbacks. Real-time updates will enable GQI to subscribe to data changes from your DataMiner System and update the GQI visualization accordingly.

This advancement will enhance the responsiveness, accuracy, and efficiency of your GQI visualizations. You will be able to monitor critical operations in real time using GQI, enabling you to react faster to any issues or anomalies.

So, how does it work?

It’s simple: when you visualize a GQI query, you will now get the option to enable real-time updates. If you choose to do so, GQI will automatically detect any changes in the data source and promptly update the visualization without any delay.

Activating real-time updates will significantly improve your GQI experience.

What’s included in the upcoming update?

The first version

While we continue to explore all possibilities, we’re thrilled to announce the query data sources and operators that will be part of the first version of GQI real-time updates!

It’s important to note that real-time updates are only applicable to a subset of GQI capabilities and come at a higher compute cost. They also provide value in specific use cases only. Therefore, we will gradually introduce this capability for a particular subset of GQIs, with no intention of covering all possibilities over time. The relevance of the capability within a specific use case will be determined by the DevOps engineer designing the solution.

While we remain open to including additional data sources and operators in future updates as we continue our thorough exploration of the real-time updates feature, certain data sources and operators will never be supported. For example, complex queries involving operations like join and aggregate cannot process updates because of scalability concerns.

But rest assured, our intuitive user interface will always indicate whether updates can be expected for a certain query. In situations where GQI cannot retrieve updates, the previously discussed trigger component can still be used to fetch the latest data.

How soon can we expect real-time updates?

We are actively working on developing this feature, and we expect to release the first soft-launch version in Q3 of this year.

We will ensure to provide you with regular updates on our progress and eagerly look forward to receiving your feedback and suggestions. Stay tuned for more exciting updates on this ongoing development!


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1 thought on “Real-time updates are coming to the Generic Query Interface!

  1. Ben Vandenberghe

    Exciting! GQI is really becoming a very unique solution for the data-driven operation, a real game changer, both addressing the needs for use cases that are more about aggregated data / statistics as well as for use cases that require more real-time operational status updates.

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