Engineering Services

Case Studies

Evaluation of a commercial off-the-shelf (COTS) product for a leading global communications services provider

About the client

The client provides offers a wide range of communications services including Internet, broadband, remote access, mobility solutions, security services and business applications.

Business need

The client needed to evaluate a COTS product. This product would facilitate deployment and ownership of software development life cycle (SDLC) for performance management solution for complex IP-based NGN and legacy networks. In addition to product evaluation, the client also needed support for performance monitoring of complex access, metro and core networks.

Our solution

Infosys took complete system ownership — controlling requirements, program architecture, code development, deployment, vendor management, infrastructure management, and live application support.

Infosys created a holistic strategy for evaluation and performance management that included:

  • Proactive fault identification through monitoring and thresholding of appropriate metrics and alarm trending, enrichment of alarms with inventory data and seamless integration with fault management system (multiple COTS product integration) for direct drill-down into performance trend from alarms
  • Customized data retrieval and processing from multiple device types through multiple protocols / formats
  • Enhanced reporting capabilities with complex correlation and aggregation between metrics not directly supported by COTS products
  • Interface with diagnostics systems to provide historical performance data analysis and fault diagnostics in the reactive service assurance journey
  • Reusable rule-engine-based diagnostic solution with customized rule sets for different services
  • Code Review (in-house tool for automated review of COTS product customizations)
  • Delivery focused on continuous integration, automation regression, high code reuse, auto build, and one-touch deployment

How Infosys delivered business value
  • Automation of deployments led to approximately 85% reduction in deployment effort
  • Regression testing resulted in approximately 20% effort saving on testing
  • Approximately 90% improvement in cycle time through automation for fault notification, integrated with auto ticketing through surveillance for proactive identification of outages
  • Improved delivery cycle time — by leveraging agile methodology with two weekly sprints and delivery of six weeks
  • Hardware, software license and support cost savings (approximately US$ 500,000) — through system rationalization by migrating the monitoring process from multiple legacy systems to key strategic ones
  • Reduced development costs by 30% – owing to the development of reusable OSS and network interfacing components
  • Reduced application support effort by approximately 30% – via tools for self monitoring, ’self-help’ for integration testing


Share the page

  • Tweet
  • Share on Facebook
  • Share on LinkedIn
  • Google+