AWS DataSync Discovery Preview Edition supports automated data collection and storage recommendation

Amazon announces public preview of AWS DataSync Discovery. This new feature of AWS DataSync enables users to better understand on-premises storage usage through automated data collection and analysis, quickly identify data to migrate, and evaluate AWS storage services recommended for data.

Data migration is the process by which data is transferred between systems. These transfer systems can be data storage types or file formats. Data from the old system is transferred to a new system through a particular mapping template. Mapping templates contain designs for data extraction as well as data loading activities. The design acts as a translator between old data formats and new system formats, ensuring smoother data migration.

Planning and migrating data to the cloud can be a big undertaking, involving time and effort to gather storage information and then try to map it. AWS DataSync Discovery helps simplify migration planning and accelerate data migration to AWS by providing visibility into on-premises storage performance and usage, and providing recommendations for migrating data to storage services. AWS storage.

DataSync Discovery uses a DataSync agent to connect to on-premises storage and automatically collect information such as performance metrics and capacity utilization over time. An agent is a virtual machine or Amazon EC2 instance that AWS DataSync uses to read from or write to a storage system. Agents are commonly used when copying data from on-premises storage to AWS. DataSync Discovery uses the information collected to generate recommendations and estimated costs for AWS storage services such as Amazon FSx for NetApp ONTAP, Amazon FSx for Windows File Server, and Amazon Elastic File System (EFS).

Today, there are many tools to facilitate enterprise data migrations. These include vendor-specific solutions offered by cloud providers to support their customers’ move into their public or private cloud environment, as well as licensed and open-source tools.

Cloud migration is the fastest growing type of data migration. This involves moving on-premises data or applications to a cloud environment. Common options include public clouds, private clouds, and hybrid clouds, although some organizations also use multi-cloud environments. Migrating to the cloud enables organizations to scale with fewer limitations, provision resources more easily, upgrade with less fiction, spend more efficiently, and innovate faster. With their data and applications residing in the cloud, these organizations are no longer required to maintain the machines and infrastructure that stored these assets on-premises.

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