30 September 2022

ğŸŽ‰ Correlation

Over the last year, we have both experienced and received feedback on how the users are receiving a huge number of alert emails. We always knew that this can be tackled if the platform understands how every alert or anomaly is related to each other. We worked hard on this very problem and have now successfully solved it.

Introducing - Correlations in Anomaly Detection Platform

Cliff now automatically understands relations between different KPIs by analyzing their trends and behavior as one big group. In near real-time, it can uncover relations that are invisible to the naked eye. This relation (a.k.a The Correlation Graph) is then used to derive insights. More importantly, it can be used to group similar or correlated anomalies together to provide a more holistic picture.

To add to this, Cliff also has the functionality to upload your own Correlation Graph or Topology. The user can add the topology of the network elements and the platform will be able to identify correlated incidents as they happen.

So give Cliff a try to uncover more from your data.

Find Related Incidents

Cliff now automatically understands relations between different KPIs by analyzing their trends and behavior as one big group and can relate incidents based on this information

Correlation Knowledge Graph

Cliff now creates a knowledge graph from the data to uncover insights and relationships between metrics. This allows for a much more in-depth analysis in case there is an anomaly or an incident.