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Proactive Alert Monitoring

Updated over 2 weeks ago

Proactive Alert Monitoring (PAM) relies on machine learning to understand your voice traffic patterns over time and generates an alert when an abnormal voice traffic behavior is detected. Please note that this doesn’t necessarily indicate a network outage or event, but rather serves as an early warning of a potential issue to prompt your support/NOC team to investigate changes in call behavior and perform diagnostics on the internal network.

Changes in calling patterns may be influenced by various factors, such as holidays, national events, or new calling campaigns. This also includes scheduled maintenance that may affect downstream vendors. While Bandwidth can certainly work with you to fine-tune the algorithm, false positives can occur, particularly with low-volume routes and countries.

Glossary

  • Answer Seizure Ratio (ASR) – total count of 200 SIP response codes (completed calls) / total number of attempted calls

  • Network Efficiency Ratio (NER) – total count of 200, 404, 486, and 487 SIP response codes / total number of attempted calls

  • Minutes of Use (MOU) – total minutes of use associated with completed calls

  • Time Range – time/date window of an event; all times are in Coordinated Universal Time (UTC)

  • Volume of Attempted Calls – total number of attempted calls in the given time window

Metrics and definitions

Metric

Definition

Low ASR

The ASR % detected in the given time window is lower than expected.

Low NER

The NER % detected in the given time window is lower than expected.

High Volume of Incomplete Calls

The volume of calls that didn’t complete in the given time window is higher than expected.

Low MOU

The overall MOU in the given time window is lower than expected.

Low Volume of Completed Calls

The number of calls completed in the given time window is lower than expected.

Low Volume of Attempted Calls

The number of attempted calls placed in the given time window is lower than expected.

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