How Fastweb+Vodafone Automates Change Impact Analysis for Transport Networks with AWS

This article describes how Fastweb+Vodafone, in collaboration with AWS Partner Celfocus, built an automated Change Impact Analysis solution using a Digital Twin of their transport network on AWS.

• Transforms manual, error-prone impact assessment into automated deterministic analysis using graph database technology
• Digital Twin models complete network topology across IP and Transmission layers in Amazon Neptune using labeled property graphs
• Four-phase architecture: information retrieval, data ingestion/preprocessing, Digital Twin build, and service impact analysis
• Event-driven CIA Engine processes change requests from Excel files and performs graph traversal to identify impacted services, customers, and network elements
• Deployed on Amazon EKS with Amazon MSK for streaming, Aurora PostgreSQL for audit trails, and multi-AZ architecture for high availability
• Implements security best practices including IAM least privilege, KMS encryption, TLS in transit, and GDPR compliance controls
• Reduces change assessment time from hours to minutes while eliminating dependency on individual engineer expertise

The solution establishes a modular, extensible foundation for Fastweb+Vodafone's Autonomous Networks transformation, enabling faster and more reliable network operations.