Migration and transfer
AWS Application Discovery Service
AWS Application Discovery Service helps enterprise
customers plan migration projects by gathering information about their on-premises data centers.
Planning data center migrations can involve thousands of workloads that are often deeply
interdependent. Server utilization data and dependency mapping are important early first steps in
the migration process. AWS Application Discovery Service collects and presents configuration, usage, and behavior
data from your servers to help you better understand your workloads.
The collected data is retained in encrypted format in an AWS Application Discovery Service data store. You can
export this data as a CSV file and use it to estimate the Total Cost of Ownership (TCO) of
running on AWS and to plan your migration to AWS. In addition, this data is also available in
AWS Migration Hub, where you can migrate the discovered servers and track their progress as they get
migrated to AWS.
AWS Application Migration Service
AWS Application Migration Service (AWS MGN)
allows you to quickly realize the benefits of migrating applications to the cloud without changes
and with minimal downtime.
AWS Application Migration Service minimizes time-intensive, error-prone manual processes by automatically converting
your source servers from physical, virtual, or cloud infrastructure to run natively on AWS. It
further simplifies your migration by enabling you to use the same automated process for a wide
range of applications.
And by launching non-disruptive tests before migrating, you can be confident that your most
critical applications such as SAP, Oracle, and SQL Server will work seamlessly on AWS.
AWS Database Migration Service
AWS Database Migration Service (AWS DMS) helps you migrate databases to
AWS easily and securely. The source database remains fully operational during the migration,
minimizing downtime to applications that rely on the database. The AWS Database Migration Service can migrate your
data to and from most widely used commercial and open-source databases. The service supports
homogeneous migrations such as Oracle to Oracle, as well as heterogeneous migrations between
different database platforms, such as Oracle to Amazon Aurora or Microsoft SQL Server to MySQL. It
also allows you to stream data to Amazon Redshift from any of the supported sources including Amazon Aurora,
PostgreSQL, MySQL, MariaDB, Oracle, SAP ASE, and SQL Server, enabling consolidation and easy
analysis of data in the petabyte-scale data warehouse. AWS Database Migration Service can also be used for continuous
data replication with high availability.
AWS DMS Serverless offers
the flexibility to migrate data without needing to provision replication instances, manually
monitoring use, and adjusting capacity. AWS DMS Serverless supports popular use cases including
continuous data replication, database consolidation, and migrations, even if the source and
target database engines differ. For like-to-like or compatible database engines, you can use
built-in
tools with automatic scaling for a seamless database migration.
AWS Mainframe Modernization Service
AWS Mainframe Modernization
Service is a unique service that allows you to migrate your on-premises mainframe
workloads to a managed runtime environment on AWS. AWS Mainframe Modernization Service is a set
of managed tools providing infrastructure and software for migrating, modernizing, and running
mainframe applications.
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Migrate and modernize your applications to remove the hardware and staffing costs of
traditional mainframes.
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Break up and manage your complete migration with infrastructure, software, and tools
to refactor and transform legacy applications.
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Deploy, run, and operate migrated applications in the Mainframe Modernization
environment with no upfront costs.
AWS Migration Hub
AWS Migration Hub provides a single location to
track the progress of application migrations across multiple AWS and partner solutions. Using
Migration Hub allows you to choose the AWS and partner migration tools that best fit your needs, while
providing visibility into the status of migrations across your portfolio of applications. Migration Hub
also provides key metrics and progress for individual applications, regardless of which tools are
being used to migrate them. For example, you might use AWS Database Migration Service, AWS Application Migration Service, and partner
migration tools such as ATADATA ATAmotion, CloudEndure Live Migration, or RiverMeadow Server
Migration Saas to migrate an application comprised of a database, virtualized web servers, and a
bare metal server. Using Migration Hub, you can view the migration progress of all the resources in the
application. This allows you to quickly get progress updates across all of your migrations,
easily identify and troubleshoot any issues, and reduce the overall time and effort spent on your
migration projects.
AWS Snow Family
The AWS Snow Family helps customers that need to
run operations in austere, non-data center environments, and in locations where there's lack of
consistent network connectivity. The Snow Family comprises AWS Snowcone and AWS Snowball,
and offers a number of physical devices and capacity points, most with built-in
computing capabilities. These services help physically transport up to exabytes of data into and
out of AWS. Snow Family devices are owned and managed by AWS and integrate with AWS
security, monitoring, storage management, and computing capabilities.
AWS Snowcone
AWS Snowcone is the smallest member of the
AWS Snow Family of edge computing, edge storage, and data transfer devices, weighing in at 4.5
pounds (2.1 kg) with 8 terabytes of usable storage. Snowcone is ruggedized, secure, and
purpose-built for use outside of a traditional data center. Its small form factor makes it a
perfect fit for tight spaces or where portability is a necessity and network connectivity is
unreliable. You can use Snowcone in backpacks on first responders, or for Internet of Things (IoT),
vehicular, and drone use cases. You can execute compute applications at the edge, and you can
ship the device with data to AWS for offline data transfer, or you can transfer data online
with AWS DataSync from edge locations.
Like AWS Snowball, Snowcone has multiple layers of security and encryption. You can use
either of these services to run edge computing workloads, or to collect, process, and transfer
data to AWS. Snowcone is designed for data migration needs up to 8 terabytes per device and from
space-constrained environments where AWS Snowball devices will not fit.
AWS Snowball
AWS Snowball Edge is an edge computing, data
migration, and edge storage device. Snowball Edge can do local processing and run
edge-computing workloads in addition to transferring data between your local environment and the
AWS Cloud. Each Snowball Edge device can transport data at speeds faster than the internet.
This transport is done by shipping the data in the devices through a regional carrier.
Snowball Edge devices have five options for device configurations:
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Storage-optimized for data transfer, with up to 80 TB of
usable storage capacity. They are well suited for local storage and large scale data
transfer.
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Storage-optimized 210 TB, with 210 TB of usable storage
capacity
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Storage-optimized with EC2-compatible compute
functionality, with up to 80 TB of usable storage capacity, 40 vCPUs, and 80 GB of
memory for compute functionality
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Compute-optimized, with the AMD EPYC Gen2 having the
most compute functionality with up to 104 vCPUs, 416 GB of memory, and 28 TB of dedicated NVMe
SSD for compute instances. The AMD EPYC Gen1 has up to 52 vCPUs, 208 GB of memory, 39.5 TB of
usable storage capacity, and 7.68 TB of dedicated NVMe SSD for compute instances.
You can use these devices for data collection, machine learning (ML) and processing, and
storage in environments with intermittent connectivity (such as manufacturing, industrial, and
transportation) or in extremely remote locations (such as military or maritime operations)
before shipping them back to AWS.
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Compute-optimized with GPU is identical to the
compute-optimized AMD EPYC Gen1 option, but also includes an installed graphics processing
unit (GPU). The GPU is equivalent to the one available in the P3 Amazon EC2-compatible instance
type. You can use these devices for advanced ML workloads and full motion video analysis in
disconnected environments.
These devices can also be rack mounted and clustered together to build larger temporary
installations.
Snowball supports specific Amazon EC2 instance types and AWS Lambda functions, so you can develop
and test in the AWS Cloud, then deploy applications on devices in remote locations to collect,
pre-process, and ship the data to AWS. Common use cases include data migration, data
transport, image collation, IoT sensor stream capture, and ML.
AWS DataSync
AWS DataSync is a data transfer service that makes
it easy for you to automate moving data between on-premises storage and Amazon S3 or Amazon Elastic File System
(Amazon EFS). DataSync automatically handles many of the tasks related to data transfers that can slow
down migrations or burden your IT operations, including running your own instances, handling
encryption, managing scripts, network optimization, and data integrity validation. You can use
DataSync to transfer data at speeds up to 10 times faster than open-source tools. DataSync uses
an on-premises software agent to connect to your existing storage or file systems using the
Network File System (NFS) protocol, so you don’t have write scripts or modify your applications
to work with AWS APIs. You can use DataSync to copy data over AWS Direct Connect or internet links to AWS.
The service enables one-time data migrations, recurring data processing workflows, and automated
replication for data protection and recovery. Getting started with DataSync is easy: Deploy the
DataSync agent on premises, connect it to a file system or storage array, select Amazon EFS or Amazon S3 as
your AWS storage, and start moving data. You pay only for the data you copy.
AWS Transfer Family
AWS Transfer Family provides fully managed support
for file transfers directly into and out of Amazon S3 or Amazon EFS. With support for Secure File Transfer
Protocol (SFTP), File Transfer Protocol over SSL (FTPS), and File Transfer Protocol (FTP), the
AWS Transfer Family helps you seamlessly migrate your file transfer workflows to AWS by integrating with
existing authentication systems, and providing DNS routing with Amazon Route 53 so nothing changes for
your customers and partners, or their applications. With your data in Amazon S3 or Amazon EFS, you can use
it with AWS services for processing, analytics, ML, archiving, as well as home directories and
developer tools. Getting started with the AWS Transfer Family is easy; there is no infrastructure to buy and
set up.
