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Secure Cloud Migration for Data Compliance and Scalability
  1. case
  2. Secure Cloud Migration for Data Compliance and Scalability

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Secure Cloud Migration for Data Compliance and Scalability

neoteric.eu
Advertising & marketing
Information technology

Business Challenges

The client faced imminent expiration of their data center support contract, requiring urgent migration to Google Cloud Platform (GCP) while maintaining strict data security for sensitive client information. They needed to complete the migration within 3 months to avoid operational disruption and ensure compliance with privacy regulations.

About the Client

A US-based media company specializing in ad personalization, ROI measurement, and privacy-compliant targeting for global brands

Key Goals

  • Migrate all technical resources and data to GCP within 3 months
  • Implement robust data security measures for PII/nPII separation
  • Establish scalable cloud infrastructure with automated processes
  • Maintain compliance with privacy regulations during/after migration

Core System Requirements

  • Automated data migration pipeline to GCP
  • Isolated environments for PII/nPII data handling
  • Infrastructure-as-code deployment using Terraform
  • Real-time security monitoring and compliance reporting
  • Disaster recovery automation with replaceable VMs

Technology Stack

Google Cloud Platform (GCP)
Terraform
Oracle DB
Squid Server
VPC Service Controls
Cloud NAT
Google Cloud Functions

System Integrations

  • Existing data science tools
  • Identity management systems
  • Analytics platforms
  • Security information and event management (SIEM) systems

Operational Requirements

  • High-availability architecture
  • End-to-end encryption
  • Automated scaling for variable workloads
  • Compliance with GDPR and CCPA
  • Disaster recovery RTO < 2 hours

Expected Business Outcomes

Successful migration will enable secure, scalable data operations while maintaining compliance with privacy regulations. The automated cloud infrastructure will reduce manual configuration efforts by 70%, improve data access speeds by 40%, and position the company for future AI/ML integration in advertising optimization.

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