Automating Network Performance Monitoring
Automating Network Performance Monitoring
With thousands of endpoints and nodes in play, telecom carriers must ensure uninterrupted network performance. Manual monitoring is slow and reactive. Automated systems allow for real-time performance visibility, faster incident response, and improved SLA adherence.
Challenge
Difficulty in continuously monitoring large, complex network infrastructures.
Delays in identifying outages or degradation in service.
Manual data consolidation for performance reports led to inconsistencies.
Slow response time to threshold breaches.
Solution
An AI-driven network monitoring system was implemented to ensure real-time visibility:
KPI Monitoring Bots
Bots tracked latency, packet loss, bandwidth usage, and other critical indicators across all nodes.Automated Alerts
Breaches of predefined thresholds triggered instant alerts to relevant teams for investigation.Auto-Generated Reports
Performance summaries and issue logs were compiled and shared with operations and leadership teams automatically.
Results
70% Faster Detection of Anomalies
Reduced response time to network issues significantly.100% Consistent Reporting
Automation eliminated reporting gaps and ensured daily accuracy.Stronger SLA Compliance
Real-time monitoring helped meet uptime and performance commitments.
Challenge
Difficulty in continuously monitoring large, complex network infrastructures.
Delays in identifying outages or degradation in service.
Manual data consolidation for performance reports led to inconsistencies.
Slow response time to threshold breaches.
Solution
An AI-driven network monitoring system was implemented to ensure real-time visibility:
KPI Monitoring Bots
Bots tracked latency, packet loss, bandwidth usage, and other critical indicators across all nodes.Automated Alerts
Breaches of predefined thresholds triggered instant alerts to relevant teams for investigation.Auto-Generated Reports
Performance summaries and issue logs were compiled and shared with operations and leadership teams automatically.
Results
70% Faster Detection of Anomalies
Reduced response time to network issues significantly.100% Consistent Reporting
Automation eliminated reporting gaps and ensured daily accuracy.Stronger SLA Compliance
Real-time monitoring helped meet uptime and performance commitments.
With thousands of endpoints and nodes in play, telecom carriers must ensure uninterrupted network performance. Manual monitoring is slow and reactive. Automated systems allow for real-time performance visibility, faster incident response, and improved SLA adherence.
Challenge
Difficulty in continuously monitoring large, complex network infrastructures.
Delays in identifying outages or degradation in service.
Manual data consolidation for performance reports led to inconsistencies.
Slow response time to threshold breaches.
Solution
An AI-driven network monitoring system was implemented to ensure real-time visibility:
KPI Monitoring Bots
Bots tracked latency, packet loss, bandwidth usage, and other critical indicators across all nodes.Automated Alerts
Breaches of predefined thresholds triggered instant alerts to relevant teams for investigation.Auto-Generated Reports
Performance summaries and issue logs were compiled and shared with operations and leadership teams automatically.
Results
70% Faster Detection of Anomalies
Reduced response time to network issues significantly.100% Consistent Reporting
Automation eliminated reporting gaps and ensured daily accuracy.Stronger SLA Compliance
Real-time monitoring helped meet uptime and performance commitments.
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