New Amazon Q Developer Capabilities Accelerate Large-Scale Transformations of Legacy Workloads
04 12월 2024 - 3:27AM
Business Wire
Amazon Q Developer is the first generative
AI-powered assistant for large-scale migration and modernization of
Windows .NET, VMware, and mainframe workloads, accelerating
transformation timelines and reducing costs
At AWS re:Invent, Amazon Web Services, Inc. (AWS), an
Amazon.com, Inc. company (NASDAQ: AMZN), today announced new
capabilities for Amazon Q Developer, the most capable generative AI
assistant for software development, that take the undifferentiated
heavy-lifting out of complex and time-consuming application
migration and modernization projects, saving customers and partners
time and money.
- Modernize Windows .NET applications to Linux up to four times
faster and reduce licensing costs by up to 40%.
- Transform VMware workloads to cloud-native architectures,
converting on-premises network configurations into AWS equivalents
in hours instead of weeks.
- Accelerate mainframe modernization by streamlining
labor-intensive work like code analysis, documentation, planning,
and refactoring applications.
- ADP, Amdocs, Caylent, Cognizant, Compass UOL, HCLTech,
Heirloom, Infosys, Mission Cloud, Signaturit Group, Slalom,
SoftServe, Steamhaus, Tata Consultancy Services, and Toyota Motor
North America are among customers and partners using Amazon Q
Developer to migrate and modernize their legacy workloads
faster.
“We are combining Amazon Q Developer with our nearly two decades
of experience helping organizations migrate and modernize their
legacy workloads on AWS to accelerate and simplify large-scale
transformations,” said Mai-Lan Tomsen Bukovec, vice president of
Technology, at AWS. “This is a game-changer for customers and
partners looking to move off of Windows .NET, VMware, and
mainframes. Now, Amazon Q significantly speeds up application
transformation projects with agents that can autonomously complete
some of the most labor-intensive tasks, such as analyzing,
planning, code generation, and testing, saving customers time and
money, and helping them realize the full value of the cloud.”
Many organizations have a large number of legacy applications
that often require specialized expertise to operate and are
expensive and time-consuming to maintain. While they want to move
away from these legacy technologies, modernizing them can take
months or years of tedious work. As a result, organizations stall
or postpone these projects entirely, so they can prioritize
building new applications and experiences. To make these kinds of
projects easier, Amazon Q Developer provides transformation
capabilities that use AI-powered agents to automate the heavy
lifting involved in upgrading and modernizing, such as autonomously
analyzing source code, generating new code, testing it, and
executing the change once approved by the customer. Earlier this
year, Amazon integrated the Java transformation capability of
Amazon Q Developer into its internal systems to migrate tens of
thousands of production applications from older versions of Java to
Java 17. This effort saved more than 4,500 years of development
work, compared to what it would have taken previously, and realized
performance improvements of $260 million in annual cost savings.
Now, AWS is extending this technology to support more large-scale
legacy transformation projects.
- Modernize Windows .NET applications up to four times
faster: Organizations today want to accelerate their
modernization from Windows .NET Framework to cross-platform Windows
.NET on Linux for reduced licensing costs, enhanced security,
optimized performance, and to simplify the adoption of modern
development practices. With Amazon Q, customers and partners can
modernize .NET applications from Windows to Linux to realize up to
a 40% reduction in licensing costs. To start a transformation, a
developer simply selects “Transform” under the AWS Toolkit section
in their integrated development environment (IDE) and confirms the
specific file they want to modernize. Amazon Q then uses agents to
automatically identify the components that need to be upgraded,
create a transformation plan, fix any build errors, and execute the
plan. This includes upgrading existing code and configuration
files, generating any new files it needs, and fixing any issues
identified with failed builds before presenting a summary to the
developer. Signaturit Group, a European provider of highly secure,
complete digital transactions, is already using Amazon Q to
accelerate their modernization projects. While Signaturit knew they
wanted to move their Windows .NET applications to improve their
speed, efficiency, and costs, it was projected to take them up to
eight months to complete the project, and competing priorities kept
taking precedent. By using the new capabilities of Amazon Q,
Signaturit Group was able to modernize their legacy code and
accelerate the migration of their license management application
from Windows .NET to Linux in just a few days, without having to
deprioritize or delay other projects to make it happen.
- Transform VMware workloads: As customers and partners
exit data centers, one of the key workloads they want to modernize
quickly is VMware. Amazon Q now simplifies and speeds up the
transformation of VMware workloads to AWS, helping them benefit
from improved security and resilience even faster. Customers and
partners no longer have to spend as much time evaluating which
workloads can be safely moved or if they have designed the right
infrastructure to meet their security and scaling needs. Amazon Q
uses agents to automatically identify dependencies and create a
plan to modernize workloads in waves, accomplishing in minutes what
could take weeks. Amazon Q agents also convert on-premises
networking configurations to AWS networking equivalents in hours
instead of weeks, compared to traditional manual approaches.
Cognizant, a multinational information technology services and
consulting company that helps organizations modernize technology,
reimagine processes, and transform experiences, is using Amazon Q
to help its customers accelerate the VMware modernization process.
By leveraging Amazon Q, Cognizant will be able to accelerate the
modernization of hundreds of VMware workloads for clients faster,
allowing them to focus on their work, helping customers reimagine
processes, and transform experiences for end users.
- Accelerate mainframe modernization: One of the most
complex systems preventing organizations from moving out of data
centers is mainframes. Amazon Q now streamlines the labor-intensive
work, such as code analysis, documentation, planning, and
refactoring applications, involved in mainframe modernization
projects, starting with IBM z/OS mainframes. Now, partners and
customers can collaborate using Amazon Q to reduce costs and
accelerate their modernization timelines. Amazon Q agents can
assist with a range of modernization tasks, like automatically
generating documentation for COBOL code and quickly decomposing
monolithic applications into components that are ready to be moved
to AWS. ADP, a global provider of human capital management (HCM)
solutions, faced challenges such as understanding and documenting
complex legacy mainframe systems, which hindered their
modernization efforts. Previously, their teams spent considerable
time manually tracing program logic and connections to identify
critical fields—an unsustainable process for thousands of COBOL
programs. Leveraging the transformation capabilities of Amazon Q,
they were able to generate comprehensive, AI-driven documentation
with deep insights into program interconnections, business rules,
and error handling in just minutes as opposed to weeks, allowing
them to accelerate their modernization journey.
To help customers and partners more efficiently collaborate on
large-scale transformation projects, all three of these
capabilities are available through a new Amazon Q Developer web
application. Designed to specifically help customers perform
hundreds of complex transformation projects at the same time, the
new web experience gives teams a central place to review plans,
refine them based on their organization’s specific needs, and track
key project milestones throughout the process. The VMware and
mainframe modernization capabilities are only available through
this new experience, while developers can also perform Windows .NET
transformations within their IDE.
All of these new Amazon Q capabilities are available in preview
today.
To learn more, visit:
- The AWS News Blog for details on today’s announcements.
- The Amazon Q Developer transformation page to learn more about
the capabilities.
- The Amazon Q Developer customer page to learn how companies are
using Amazon Q.
- The AWS re:Invent page for more details on everything happening
at AWS re:Invent.
About Amazon Web Services
Since 2006, Amazon Web Services has been the world’s most
comprehensive and broadly adopted cloud. AWS has been continually
expanding its services to support virtually any workload, and it
now has more than 240 fully featured services for compute, storage,
databases, networking, analytics, machine learning and artificial
intelligence (AI), Internet of Things (IoT), mobile, security,
hybrid, media, and application development, deployment, and
management from 108 Availability Zones within 34 geographic
regions, with announced plans for 18 more Availability Zones and
six more AWS Regions in Mexico, New Zealand, the Kingdom of Saudi
Arabia, Taiwan, Thailand, and the AWS European Sovereign Cloud.
Millions of customers—including the fastest-growing startups,
largest enterprises, and leading government agencies—trust AWS to
power their infrastructure, become more agile, and lower costs. To
learn more about AWS, visit aws.amazon.com.
About Amazon
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than competitor focus, passion for invention, commitment to
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