$30M Saved: MVNO Achieves Success with Cloud Transformation & Automation
$30M
In aggregated OpEx savings100%
Automation of deployment pipelines100%
Workload modernization with AWS CloudClient Overview
The client, the largest prepaid wireless service providers in the United States, serves over 20 million subscribers and generates $10 billion in annual revenue. Operating in a highly competitive market, the client sought to enhance its technological capabilities to maintain its market position and support continued growth.
The Challenge

Legacy Infrastructure and Operational Inefficiencies Limiting Growth Trajectory
Despite strong market traction and a customer base of over 20 million, the client was increasingly constrained by its outdated, on-premise IT infrastructure. Years of technical debt had resulted in fragile systems, rigid architectures, and unsustainable operational expenditures. Prior capital investments to modernize its data center had failed to yield transformative gains, leaving the company vulnerable in an aggressively competitive and price-sensitive telecom landscape.
Several critical challenges had emerged:
- System Fragility and Latency: A complex and brittle technology stack made it challenging to manage spikes in demand, particularly during promotional campaigns and seasonal sales – periods when website traffic could increase by up to 20x. This led to inconsistent digital experiences and revenue leakage due to customer abandonment.
- High Cost Structure: The client’s infrastructure required substantial ongoing investment to simply maintain performance parity, limiting resources available for innovation and customer experience improvement.
- Operational Inflexibility: Without a modern DevOps framework, development teams were unable to deploy or iterate independently, slowing time-to-market and reducing responsiveness to business needs.
- Lack of Scalable Insights: The absence of an enterprise-wide data strategy restricted the company’s ability to leverage customer data for personalization, predictive insights, or process optimization. To remain competitive, the client required a comprehensive, end-to-end digital transformation.
Sutherland Solution
Cloud Migration, DevOps Automation & Data Transformation on AWS
Sutherland led a multi-year transformation to modernize the client’s enterprise systems on AWS, combining cloud migration, application upgrades, and DevOps automation. Oracle E-Business Suite (EBS) was upgraded (12.1.3 to 12.2.10) alongside the Oracle Database (11g to 19c) and migrated from on-premises HP-UX to a resilient, cloud-native AWS architecture.
The engagement began with stabilizing legacy systems—optimizing configurations, resolving performance issues, and preparing data for migration. Workloads were deployed on Amazon EC2 across multiple Availability Zones, with Oracle Data Guard and NFS storage ensuring high availability and disaster recovery.
A fully automated deployment model using Terraform and Jenkins enabled 100% cloud migration, reducing provisioning timelines from days to hours. Over 1,000 microservices were containerized and deployed on Amazon EKS, enhancing scalability, agility, and fault isolation.
Sutherland implemented a DevOps-led operating model with CI/CD pipelines for continuous integration, automated testing, and zero-downtime releases. CloudTestr automated 500+ regression scenarios to ensure business continuity.
Additionally, a cloud-based data lake was established to power advanced analytics and machine learning, enabling real-time insights, predictive decisioning, and improved customer targeting—creating a scalable, future-ready digital foundation.
The Outcome

$30M Savings with Cloud, Automation & AI-Driven Outcomes
The transformation delivered measurable impact across financial, operational, and technology dimensions. Migrating Oracle E-Business Suite and databases to AWS eliminated legacy HP-UX dependencies and reduced annual OpEx by ~$30M through consolidation, automation, and license optimization.
CI/CD pipelines with Jenkins and Infrastructure-as-Code via Terraform reduced provisioning and release cycles from weeks to hours. Full pipeline automation improved deployment reliability and enabled continuous delivery across critical business functions.
System performance and availability improved significantly with a multi-Availability Zone AWS architecture, leveraging Oracle Data Guard and EBS NFS for resilience. Automated testing through CloudTestr reduced validation time by nearly 80%, accelerating release cycles while expanding test coverage.
A cloud-based data lake enabled real-time analytics and machine learning use cases, including next-best offers and customer behavior modeling—driving faster, data-backed decisions and improved customer engagement.
That’s digital outcomes delivered.
Together, these advancements established a scalable, AI-enabled, cloud-native ecosystem—enhancing agility, resilience, and innovation while supporting the organization’s evolution within a major U.S. telecom group


