Written By: |
Grace Orende |
|---|---|
Traffic Management
The Traffic Management Dashboard provides deep visibility into the performance and status of call trunks within an Avaya environment. It enables telecom and network teams to monitor call volume, trunk availability, error conditions, and traffic patterns. This dashboard plays a critical role in capacity planning, troubleshooting call routing issues, and ensuring overall telephony service reliability.
Traffic Management Dashboard
1. Trunk Out of Service Events
This donut chart shows how often specific trunks have gone out of service. It helps identify problem areas within the trunk infrastructure and highlights which trunks are most prone to downtime, allowing for faster resolution and better redundancy planning.
2. Trunk Type Breakdown
This ring chart displays the number of trunks categorized by type (SIP, ISDN, CO, etc.). It offers quick insight into the organization’s telephony architecture and helps in aligning trunk types with capacity and usage trends.
3. Daily Incoming Calls by Trunk
This stacked bar chart tracks incoming call volume over time, segmented by trunk. It enables capacity analysis and helps stakeholders monitor peak usage patterns, detect underutilized lines, or address congestion points.
4. Total Incoming Calls by Trunk Group
This horizontal bar chart shows cumulative incoming calls per trunk group. It helps identify which trunks are receiving the most inbound traffic, enabling better load balancing and capacity planning.
5. Total Outgoing Calls by Trunk Group
This panel displays outbound call volumes across various trunk groups. It’s useful for identifying which routes are most frequently used for outgoing communications and ensuring that sufficient capacity is available.
6. Total Calls by Trunk Group
Combining both incoming and outgoing calls, this chart offers a comprehensive view of trunk utilization. It allows for holistic monitoring of overall call activity per trunk group, helping with forecasting and bandwidth management.
7. Total Calls by Trunk Group (CCS)
This panel shows call usage based on CCS (Centum Call Seconds), representing how long trunks are in use. It provides a deeper layer of traffic insight, showing actual time-based load rather than just call count.
8. All Trunks Busy Percentage
This pie visualization highlights how often trunks are fully occupied and unable to accept new calls. It is essential for evaluating trunk congestion, optimizing queue handling, and ensuring callers aren’t met with failed call attempts.
9. Outgoing Call Blocking Percentage
This metric reveals how frequently outgoing calls are blocked due to capacity limits. It assists in detecting resource constraints that could impact business communication and guides decisions on scaling.
10. Incoming Trunk Data (Table)
This table lists detailed incoming call records by trunk, including call type and date. It allows telecom admins to drill down into specific events for auditing, diagnostics, or pattern recognition.
11. Outgoing Trunk Data (Table)
This table logs outgoing call records by trunk group. It’s useful for understanding traffic distribution, verifying usage trends, and supporting policy enforcement.
12. Total Usage Trunk Data
This table aggregates total trunk usage per day, trunk, and type. It supports long-term usage tracking and ensures effective utilization of telephony infrastructure over time.
13. Traffic Measurement Data (Detailed)
This detailed panel shows granular metrics like trunk usage, call attempts, queue sizes, and overflow events. It gives engineers a fine-grained view for performance tuning and operational auditing.
14. Queue Abandoned
This ring chart visualizes how many calls were abandoned after entering a trunk queue. It reflects potential user frustration or technical issues, allowing for queue optimization.
15. Calls Queued
This chart shows the number of calls placed into queues due to all trunks being busy. It helps assess queue effectiveness and signals when additional trunking or routing is needed.
16. Queue Overflow
This chart displays the number of calls not admitted to the queue because it was full. It’s a critical capacity indicator and informs decisions around increasing queue size or available trunk lines.