AWS DataSync now supports shared VPCs
Share
Services
AWS DataSync now supports shared Virtual Private Clouds (VPCs). You can create DataSync agents and run transfer tasks using subnets shared across AWS accounts with AWS Resource Access Manager (RAM). It allows you to transfer data privately over a shared subnet and VPC endpoint managed in a central account, rather than one per account. Customers that centralize their networking previously had to create a separate DataSync VPC endpoint in every account that connected privately through AWS PrivateLink. Each endpoint consumed IP addresses and added operational overhead to maintain across accounts. With shared VPC support, a single endpoint in the account that owns the VPC serves every account the subnet is shared with, conserving IP address space and removing the need for a per-account endpoint. This launch also helps within a single account setup. You can now use one VPC endpoint across multiple subnets, removing the earlier requirement for a matching VPC endpoint in each subnet. Shared VPC is supported for both Enhanced mode and Basic mode agent-based tasks. To get started, create a DataSync agent using the console or the CreateAgent API and specify a subnet shared with your account via AWS RAM. AWS DataSync support for Shared VPCs is available in all AWS Regions, except AWS Secret Regions, where AWS DataSync is offered. To learn more, visit the [AWS DataSync feature documentation](https://docs.aws.amazon.com/datasync/latest/userguide/choose-service-endpoint.html#datasync-in-vpc).
What else is happening at Amazon Web Services?
Amazon Connect Customer now supports customizing the Customer Profiles app on the agent workspace
about 8 hours ago
Services
Share
Read update
Services
Share
Amazon SageMaker AI announces training session APIs for serverless model customization
about 13 hours ago
Services
Share
AWS Direct Connect announces 100G expansion in Bangalore, India
about 13 hours ago
Services
Share
AWS announces AWS Interconnect - last mile preview with Megaport
about 17 hours ago
Services
Share
Amazon SageMaker AI now supports serverless model customization for Muse Glimmer, Qwen 3.8 and Ministral 3 models
about 21 hours ago
Services
Share