Migration and Transfer
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 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 Server 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 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 Database Migration Service
AWS Database Migration Service 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 Server Migration Service
AWS Server Migration Service (SMS) is an agentless
service which makes it easier and faster for you to migrate thousands of on-premises workloads to
AWS. AWS SMS allows you to automate, schedule, and track incremental replications of live server
volumes, making it easier for you to coordinate large-scale server migrations.
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, AWS Snowball, and AWS
Snowmobile 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 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 is an edge computing, data migration,
and edge storage device that comes in two options. Snowball Edge Storage Optimized devices
provide both block storage and Amazon S3-compatible object storage, and 40 vCPUs. They are well
suited for local storage and large scale-data transfer. Snowball Edge Compute Optimized devices
provide 52 vCPUs, block and object storage, and an optional GPU for use cases like advanced
machine learning and full motion video analysis in disconnected environments. You can use these
devices for data collection, machine learning and processing, and storage in environments with
intermittent connectivity (like manufacturing, industrial, and transportation) or in extremely
remote locations (like military or maritime operations) before shipping them back to AWS. These
devices may 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 machine learning.
AWS Snowmobile
AWS Snowmobile is an exabyte-scale data transfer
service used to move extremely large amounts of data to AWS. You can transfer up to 100 PB per
Snowmobile, a 45-foot long ruggedized shipping container, pulled by a semi-trailer truck.
Snowmobile makes it easy to move massive volumes of data to the cloud, including video
libraries, image repositories, or even a complete data center migration. Transferring data with
Snowmobile is secure, fast, and cost effective.
After an initial assessment, a Snowmobile will be transported to your data center, and AWS
personnel will configure it for you so it can be accessed as a network storage target. When your
Snowmobile is on site, AWS personnel will work with your team to connect a removable, high-speed
network switch from the Snowmobile to your local network. Then you can begin your high-speed
data transfer from any number of sources within your data center to the Snowmobile. After your
data is loaded, the Snowmobile is driven back to AWS where your data is imported into Amazon S3 or
S3 Glacier.
AWS Snowmobile uses multiple layers of security designed to protect your data including
dedicated security personnel, GPS tracking, alarm monitoring, 24/7 video surveillance, and an
optional escort security vehicle while in transit. All data is encrypted with 256-bit encryption
keys managed through AWS KMS and designed to
ensure both security and full chain of custody of your data.
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, machine learning, 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.
