Petabyte-scale data migration made simple: AppsFlyer’s best practice journey with Amazon EMR Serverless

This article discusses AppsFlyer's comprehensive migration from self-managed Hadoop clusters to Amazon EMR Serverless, detailing their strategic approach to modernizing their petabyte-scale data infrastructure. The migration aimed to reduce operational overhead, improve scalability, and enhance team productivity.

• Key Migration Challenges:
  • Managing 100 PB of daily data across nearly 100 Hadoop clusters
  • Reducing manual cluster management and infrastructure complexity
  • Enabling seamless cross-team migration with minimal disruption
• Strategic Approaches:
  • Developed centralized migration guides and support channels
  • Created infrastructure-as-code templates for easy adoption
  • Built custom Airflow operators for EMR Serverless
  • Implemented robust cross-account permission management
• Major Benefits Achieved:
  • Reduced operational overhead
  • Improved resource scaling and cost efficiency
  • Enhanced team autonomy and innovation
  • Simplified data pipeline management

The migration demonstrates how a well-planned approach can transform an organization's data infrastructure, enabling more agile and cost-effective data processing.