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Cloud-Native MVNE Platform Transformation for a Leading U.S. Mobile Virtual Network Operator

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Overview

A leading U.S. Mobile Virtual Network Operator partnered with InfoVision to architect and deliver a brand-new Mobile Virtual Network Enabler platform built entirely on AWS.

Using a serverless, cloud-native architecture and AWS-native services, InfoVision delivered the full platform within a fixed 5-month deadline, achieving 100% CI/CD automation and a 40% reduction in end-to-end testing cycle time.

5 Months
Platform Delivered on Schedule

100%
CI/CD Pipeline Automation on AWS

40%
Faster E2E Testing via GitHub Copilot

Serverless
100% AWS Cloud-Native Architecture

The Challenge

The client’s legacy MVNO systems could not support MVNE ambitions. The challenges included:

  • Aging, monolithic MVNO infrastructure unable to scale to MVNE requirements
  • Non-negotiable 5-month deadline for first activation and SIM provisioning
  • Multi-vendor API ecosystem requiring strong governance and interoperability
  • Partner onboarding at scale across pSIM, eSIM, enterprise, and celebrity MVNOs
  • Telecom-grade E2E testing across SIM lifecycle, provisioning, and billing
  • Unified CI/CD framework needed across distributed, multi-vendor teams

The AWS-Powered Solution

InfoVision designed and delivered a fully serverless, AWS-native MVNE platform from the ground up:

  • AWS API Gateway as the central integration hub for all MVNE partner and system APIs
  • Lambda and ECS/Fargate serverless compute for auto-scaling with zero infrastructure overhead
  • Terraform IaC for identical multi-environment provisioning across dev, staging, and production
  • GitHub Actions CI/CD fully integrated with AWS ECR, SAM, and CloudFormation
  • CloudWatch dashboards and alerting for real-time activation and API health monitoring
  • GitHub Copilot-assisted test automation delivering 40% faster E2E regression cycles

AWS Services Used

API Gateway
AWS Lambda
ECS / Fargate
Amazon S3
CloudWatch
IAM
VPC
Secrets Manager
CloudFront
CloudTrail
AWS SAM
Amazon ECR

Business Outcomes

Platform Delivered on Time: The greenfield MVNE stack was built and deployed on AWS within the client’s five-month commercial deadline, enabling first subscriber activation and SIM provisioning on schedule.

Fully Automated Releases: A GitHub Actions and AWS pipeline achieved 100% CI/CD automation from code commit through SAST/DAST scanning, Docker build, ECR push, and SAM-based AWS deployment, with zero manual steps.

Faster Testing with AI: GitHub Copilot-assisted test generation cut E2E regression cycle time by 40%, enabling rapid release cadences without compromising telecom-grade quality standards.

Scalable Partner Onboarding: AWS API Gateway-backed onboarding frameworks reduced the engineering effort to onboard each new enterprise or celebrity MVNO partner, enabling faster go-to-market for new revenue streams.

Improved Subscriber Activation: CloudWatch-driven monitoring and automated health checks delivered measurable improvements in activation success rates and significant reductions in API failure incidents.

Operational Efficiency: Terraform IaC eliminated environment drift across AWS accounts. SonarQube and Snyk security gates, integrated into the AWS pipeline, reduced post-release defects and security vulnerabilities.

Why AWS: The Strategic Advantage

Serverless Scalability

AWS Lambda and ECS/Fargate enable the MVNE platform to scale automatically with subscriber and partner volumes, without capacity planning or infrastructure overhead.

Security and Compliance

AWS IAM, VPC segmentation, Secrets Manager, and CloudTrail provide enterprise-grade security and audit capability required for telecom regulatory compliance.

Accelerated Innovation

AWS SAM and CloudFront enable rapid deployment of new MVNE services and APIs globally, reducing time-to-market for new partner offerings and subscriber products.

Well-Architected Foundation

The platform was designed in alignment with the AWS Well-Architected Framework, optimizing for operational excellence, security, reliability, performance, and cost efficiency.

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Download case study

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