Case Study
A leading US telecommunications provider operates an service order orchestration platform designed to manage massive transaction volumes across enterprise customers. As demand grew, the platform faced operational bottlenecks due to its reliance on legacy mainframe components and monolithic Java applications. Static prioritization, limited scalability, and high API chatter resulted in delays, failures, and poor visibility into order processing.
To address these challenges, the client partnered with Infosys to modernize the order orchestration system using a cloud-native, event-driven architecture on AWS. The modernization initiative focused on enabling real-time order tracking, centralized orchestration, dynamic prioritization, and improved traceability across complex IoT order flows. The target state aimed to support processing of up to 500,000 transactions per hour, while ensuring high availability, reliability, and operational resilience.
Infosys applied its deep cloud engineering and telecom domain expertise to redesign the platform using microservices, container orchestration, and managed data streaming services. The transformed solution delivered significant gains in throughput, platform availability, security, and release velocity—positioning the client with a scalable, future-ready digital foundation for IoT growth.
99.99%
Platform availability
720K
Lines per hour throughput
100%
Critical vulnerabilities removed
Real-time
Order Tracking & Monitoring
Key Challenges
- Unpredictable traffic spikes without effective throttling mechanisms
- Low throughput caused by excessive API chatter
- Delays in high-priority IoT order processing
- Limited scalability of on premises monolithic architecture
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Infosys Approach
Infosys helped the client by
Modernizing the platform using AWS cloud-native, event-driven architecture
Deploying workloads on Amazon EKS to enable elastic scaling and resilience
Enabling real-time order processing through Amazon MSK (Managed Kafka)
Delivering operational insights through centralized analytics dashboards
Implementing a BPM solution, springboot microservices, and event driven architecture
Optimizing traffic handling using application load balancers
Strengthening observability using New Relic and OpenSearch logging
The Solution
Modernizing legacy order orchestration platform with AWS cloud-native architecture
Infosys delivered a modern, cloud-native order orchestration solution designed to support high-volume B2B transactions with reliability and speed. The legacy platform was re-architected into microservices running on Amazon EKS, enabling elastic scaling and seamless handling of fluctuating transaction loads.
An event-driven communication model powered by Amazon MSK ensured reliable, high-throughput data streaming across distributed IoT systems. Centralized monitoring, logging, and analytics using OpenSearch provided real-time operational visibility, faster troubleshooting, and data-driven insights. Security was significantly enhanced by remediating all known critical and major vulnerabilities present in the legacy application.
The modernized platform supports continuous delivery through weekly and on-demand deployments, ensuring faster innovation cycles. The result is a resilient, scalable order orchestration foundation capable of meeting current enterprise IoT demands while supporting future growth.
Business Outcomes
Sustained throughput of 720,000 lines per hour, scaling during peak demand
Improved platform reliability with 99.99% availability
Faster releases through weekly and on-demand deployments
End-to-end order traceability with real-time monitoring
Eliminated critical and major security vulnerabilities
Maintained performance under high-volume and variable loads
Benefits
Cloud-ready platform delivers scale, reliability, faster releases, and stronger security for high volume IoT workloads.
Elastic scaling that handles unpredictable spikes without service degradation.
Dynamic prioritization that protects high priority IoT transactions.
Higher throughput reducing backlogs and processing delays.
99.99% availability improving customer trust and SLA adherence.
Faster releases via weekly and on-demand deployments.
End to end traceability simplifying the audits and incident resolution.
Strengthened security posture by eliminating known vulnerabilities.
Reduced API chatter improving reliability and lowers communication failures.
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