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  • >> Go to dataminer.services

How can DataMiner Ai assist the monitoring of DTT Service Transmission Network?

Solved703 views7th July 2023AI DTT Service monitoring
11
Naveendran Murthy [SLC] [DevOps Member]226 6th March 2023 0 Comments

My customer wishes to understand how exactly DataMiner Ai can be applied to make their DTT Service Transmission Network monitoring better and proactive? They are also asking for some use case reference where Ai is used for the benefit of similar environment within DataMiner customers worldwide.

Marieke Goethals [SLC] [DevOps Catalyst] Selected answer as best 7th July 2023

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Pieter Van Compernolle [SLC] [DevOps Enabler]3.24K Posted 19th April 2023 0 Comments

Hi Naveendran,
Sorry for the late response.

Here is one use case I found: AI-assisted SFP performance monitoring – DataMiner Dojo which can be inspiring maybe.

Let me also link you a couple of AI features in DataMiner that can be useful for your customer:

1. Advanced analytics features in the Alarm Console | DataMiner Docs

A number of features in the Alarm Console make use of the artificial intelligence capabilities provided by DataMiner Analytics. These features are only available on systems with a Cassandra database. They can each be activated or deactivated in System Center, via System Center > System settings > analytics config.

These features are:

  • Alarm focus (available from DataMiner 10.0.0/10.0.2 onwards). See Filtering alarms on alarm focus.
  • Behavioral anomaly detection (available from DataMiner 10.0.0/10.0.2 onwards). See Behavioral anomaly detection.
  • Proactive cap detection (available from DataMiner 10.1.0/10.0.11 onwards). See Proactive cap detection.
  • Automatic incident tracking (available from DataMiner 10.1.0/10.0.11 onwards). See Automatic incident tracking.
  • Pattern matching (supports alarm monitoring from DataMiner 10.1.0/10.0.13 onwards). See Monitoring of trend patterns.

2. Advanced analytics in trend graphs | DataMiner Docs

A number of features in trend graphs make use of the artificial intelligence capabilities provided by DataMiner Analytics.

Most of these features rely on the SLAnalytics process. These require a Cassandra database and can be activated or deactivated in System Center, via System Center > System settings > analytics config:

  • Working with trend predictions
  • Working with behavioral anomaly detection
  • Working with pattern matching

Other features depend on a connection to dataminer.services. These cannot be activated or deactivated in System Center, and Cassandra is not strictly required for them, although it is recommended. At present, only one such feature is available:

  • Adding related parameters to a trend graph

Also feel free to get in touch with me to discuss your specific customer setup/needs/expectations. I’ll be happy to think along to see what value we can deliver today and/or in the future.

Best Regards

Pieter

Marieke Goethals [SLC] [DevOps Catalyst] Selected answer as best 7th July 2023
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