SA.

Work case

Network Monitoring System (Telecom)

Designed a distributed monitoring architecture that unified fragmented telecom infrastructure visibility into real-time dashboards and operational workflows.

Role
Technical Lead
Published
Tags
telecom · monitoring · microservices · kafka · reliability

Managed nodes

1000+

Nationwide network monitoring scope

Downtime reduction

-30%

Improved operational visibility and response speed

Problem

Monitoring large-scale telecom infrastructure was fragmented and slow. Operations teams lacked a unified, real-time view across network nodes, which made incidents harder to prioritize and increased the time needed to understand impact.

Solution

Network monitoring architecture placeholder

I designed a distributed microservices architecture that collected network signals, normalized telemetry, and pushed operational data into real-time monitoring dashboards. Kafka handled event flow, while Prometheus and Zabbix supported metrics, alerting, and infrastructure visibility.

Architecture decisions

  • Distributed collectors reduced pressure on central services and allowed monitoring to continue closer to the network edge.
  • Kafka decoupled ingestion from dashboard processing so spikes in telemetry would not directly block the operator experience.
  • Prometheus and Zabbix were integrated for complementary monitoring, alerting, and infrastructure visibility.

Impact

  • Reduced downtime by 30% through faster detection and response.
  • Enabled real-time monitoring across 1000+ nodes.
  • Gave operations teams a clearer system view instead of fragmented monitoring paths.