Monitoring and Reporting
for TETRA Professional Network

Globberry's R-Mon solution helped improve the efficiency of network resources
management and enabled informed decision-making by providing structured
data about the network.

Customer

The leading oil and gas company in Kazakhstan, a joint venture of the Kazakhstan government and a consortium of international oil companies.

System Integrator

The leading supplier of radio communications, security, and surveillance solutions in Kazakhstan.

Challenges

1

Inefficient use of available resources (stations and equipment)

2

Lack of data about the network for reporting and decision making

3

Laborious and complicated report preparation for the operations team

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Project Highlights

The project was conducted using agile methodologies, with quick stakeholder feedback. As a result, requirements were implemented in a timely manner, and the customer received the system with richer functionality than initially envisioned.

Solution

The proposed solution is based on Globberry R-Monitoring, a product that monitors subscriber activity and network resources utilization in real time for converged, multi-technology access networks.

In addition to real-time utilization and alarm monitoring, the solution gives visibility to different facets of radio-network maintenance. RMon includes historical data and reports constructor for the creation of user-specific pivot reports.

In order to effectively process huge amounts of data, RMon utilizes Apache Druid as a Big Data engine, Apache Kafka as the messaging bus, and Prometheus for solution monitoring.

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Results

  • Visibility of network load enabled informed network-planning process
  • Operational teams don’t expend resources on report preparation
  • More efficient allocation of expensive stations based on real usage
  • Identification of unused or lost stations
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More than 12 000

Number of subscriber terminals

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> 1 million

Events per hour