Migrate and Archive data for ADAS workloads on AWS

This article discusses strategies for migrating and archiving Advanced Driver Assistance Systems (ADAS) data on AWS, highlighting key considerations for automotive companies managing large-scale sensor and testing data.

• ADAS data archiving is crucial for investigating system failures, supporting research, and managing storage costs
• Data migration strategy involves three key phases:
  • Discovery and assessment using tools like AWS DataSync Discovery
  • Migration using offline (AWS Snowball) and online (AWS DataSync) transfer options
  • Archiving using Amazon S3 Glacier storage classes
• S3 Glacier offers three storage tiers optimized for different access frequency and cost requirements
• Recommended approach includes storing data in S3, tagging buckets, and using lifecycle policies to move data to appropriate Glacier storage

The solution enables automotive companies to efficiently manage massive ADAS datasets while reducing storage costs and maintaining data accessibility.