Data Transfer and Synchronization - Building a Fast and Secure Data Migration Platform with AWS DataSync
Learn how to use AWS DataSync for data transfer and synchronization between on-premises and AWS. This guide covers large-scale data migration with S3 integration and building continuous data synchronization pipelines.
Data Transfer Challenges and DataSync Overview
Data migration from on-premises to AWS and data transfer between AWS services are challenges many organizations face. There are numerous factors to consider, including network bandwidth constraints, ensuring data integrity during transfer, encryption for security, and managing transfer schedules. AWS DataSync is a fully managed service that automates data transfer between on-premises storage systems and AWS storage services, as well as between AWS storage services. It supports diverse sources such as NFS, SMB, HDFS, and object storage, and transfers data to AWS storage services including S3, EFS, FSx for Windows File Server, and FSx for Lustre. Its dedicated network protocol achieves transfer speeds up to 10 times faster than open-source tools like rsync or robocopy. DataSync supports a wide range of protocols including NFS, SMB, HDFS, and S3-compatible storage, with diverse destination options such as S3, EFS, and FSx.
Transfer Task Configuration and Filtering
DataSync transfer tasks can be configured simply by specifying source and destination locations and setting transfer options. The filtering feature allows you to narrow down transfer targets based on specific file patterns (extensions, directory names, file sizes). By combining exclude and include filters, you can efficiently transfer only the data you need. You can choose between differential transfer mode, which transfers only changed files, and full transfer mode, which transfers all files. Differential transfer compares file timestamps and sizes, transferring only modified files, making it ideal for periodic synchronization tasks. You can create a transfer task with the following CLI command. ```bash aws datasync create-task \ --source-location-arn arn:aws:datasync:ap-northeast-1:123456789012:location/loc-source \ --destination-location-arn arn:aws:datasync:ap-northeast-1:123456789012:location/loc-dest \ --options VerifyMode=POINT_IN_TIME_CONSISTENT,TransferMode=CHANGED ``` Data integrity verification options automatically confirm that source and destination data match exactly. Bandwidth throttling settings allow you to reduce network bandwidth during business hours and transfer at full speed overnight.
On-Premises Data Migration Architecture
For data migration from on-premises to AWS, you deploy a DataSync agent in your on-premises environment. The agent runs as a virtual machine on VMware ESXi, Microsoft Hyper-V, or Linux KVM, accessing and reading data from on-premises storage systems. Communication between the agent and AWS is encrypted with TLS 1.2, ensuring data security during transfer. It also supports transfer via AWS Direct Connect or VPN, enabling private transfer paths that bypass the internet. Using VPC endpoints, you can keep DataSync traffic within your VPC. For large-scale data migration projects, a phased migration approach is effective: perform the initial full copy with DataSync, then use differential synchronization for continuous data sync. Maintaining the data sync task after migration completion minimizes the risk of data loss during cutover. CloudWatch metrics and logs enable real-time monitoring of transfer progress, throughput, and errors.
Inter-AWS Data Transfer and Automation
DataSync can also be used for data transfer between AWS services. It supports various transfer patterns including cross-region replication between S3 buckets, data migration from S3 to EFS, and migration from EFS to FSx. Migration between S3 storage classes (such as Standard to Glacier Deep Archive) can also be efficiently performed with DataSync. The scheduled execution feature automates periodic data synchronization tasks. Integration with EventBridge enables building workflows that trigger subsequent processes (launching Glue jobs, executing Lambda functions, sending SNS notifications) based on transfer task completion or failure. The task report feature provides detailed records of transferred files, skipped files, and verification results for auditing and troubleshooting. Running multiple transfer tasks in parallel can shorten the timeline of large-scale data migration projects. To deepen your knowledge of migration projects, you can also explore specialized books on Amazon.
Security and Compliance
DataSync ensures data transfer security through multiple layers. Data in transit is encrypted with TLS 1.2, and at the destination S3 bucket, you can apply server-side encryption using SSE-S3, SSE-KMS, or SSE-C. IAM policies provide fine-grained control over transfer task execution permissions, allowing you to restrict access to specific source and destination locations. Integration with CloudTrail records all DataSync API calls, serving as an audit trail. Using VPC endpoints ensures that DataSync traffic travels through a private transfer path without traversing the public internet. DataSync is compliant with HIPAA, PCI DSS, SOC 1/2/3, and other regulatory requirements, making it suitable for data migration in regulated industries. Data integrity verification during transfer is automatically performed through checksum comparison, guaranteeing bit-level accuracy.
DataSync Pricing
DataSync pricing is based on the volume of data copied. At approximately $0.0125 per GB, transferring 100 TB costs about $1,250. Transferring from on-premises requires deploying an agent, but the agent itself incurs no additional charges. Transfers between AWS services (e.g., S3 to EFS) follow the same pricing model. Compared to S3 Transfer Acceleration (approximately $0.04 per GB), DataSync is more cost-effective and includes scheduling and data verification features.
Summary - Guidelines for Building a Data Transfer Platform
AWS DataSync is a service that automates fast and secure data transfer between on-premises and AWS, as well as between AWS services. Its dedicated protocol delivering up to 10x faster transfers, efficient synchronization through differential transfer, and security through TLS encryption and integrity verification are essential elements for successful large-scale data migration projects. Automated workflows through scheduled execution and EventBridge integration enable building continuous data synchronization pipelines.