Case Study

Cloud-based Device Management Solution for a Leading Telecom OEM Provider in North America

The client, a top North American telecom service provider and a leading worldwide device, software platform and services provider to CSPs, wanted an in-house cloud-based device management platform to replace their existing third-party solution.

The device management solution was required to implement network device provisioning, orchestration, device alarm management and analytics. In addition, it required a workflow-based framework to design customized device management. Infosys partnered with the customer to develop this end-to-end solution from conceptualization until deployment on the AWS cloud platform. Infosys developed this solution utilizing an agile-based approach.

Key Challenges

  • Service provisioning framework to support millions of devices on various models.
  • Alarm management system handles a stream of live alerts from millions of devices, and provides reports and insights based on the alarms.
  • Customer-facing workbench to design workflows for multiple use cases.
  • Scalability of solution considering the number of devices.

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The Solution

Architecture/design, development and testing of cloud-based platform for device management, workflow, service manager, alarm analytics, security integration with functional testing and solution testing.

Infosys owned the entire cloud-based platform development project, including:

  • Design, development and implementation of the platform
  • Functional and system testing
  • Scalability testing through simulated devices
  • Post launch support

Device Management Platform Development – Best Practices

  • Agile-based approach for effective requirement elicitation.
  • Device simulator for scalability testing.
  • Quick prototyping for open-source product evaluation.


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Apache Flink based framework for rule-based alarm stream processing.

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Custom workflow design workbench based on Zeebe backend.

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Complete solution was deployed on the AWS cloud platform based on micro-service architecture.

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Kubernetes auto-scaling on hyper-scaler cloud platform helped in addressing the scalability challenge and high availability.

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Usage of cloud-native frameworks and solutions helped in faster development and deployment, meeting TTM deadlines.

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