Mainframe Modernization with AWS – Driven by Precisely

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This document discusses mainframe modernization with AWS. It begins by noting that moving to the cloud is a priority for many organizations and that mainframe modernization and data modernization are key reasons for shifting workloads to the cloud. It then provides details on AWS's large market share and projected growth. The document outlines that Precisely provides data replication software to replicate mainframe data for analytics on AWS. It describes benefits like simple integration, real-time replication, scalability, leveraging Precisely's mainframe expertise. It provides an example of how Precisely and AWS helped a life insurance company modernize their mainframe applications and systems while continuing to innovate. It concludes by noting more offerings from Preci

Mainframe
Modernization
with AWS
Driven by Precisely
John de Saint Phalle | Senior Product Manager

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Moving to the
cloud is a priority
Mainframe Modernization with AWS
3

“85% of organizations
will embrace a cloud-
first principle by 2025”
- Gartner
“55% of leaders site data
modernization as the reason
for their shift to cloud”
- Deloitte
Mainframe Modernization with AWS
4

Mainframe Modernization with AWS
5
AWS is
a huge
cloud
player
AWS owns over 33% of the
cloud marketplace
Total sales will likely surpass
$100 billion in 2023
Projected to grow at an average
of 38.1% through 2026

AWS announces Mainframe Modernization
Refactor Replatform Data Replication
?
Mainframe Modernization with AWS
6

New collaboration, greater customer value
Precisely data replication for
AWS mainframe modernization
Replicates mainframe data
for analytics on AWS
Replication for mainframe
modernization on AWS
Real-time replication
for analytics, AI, and
other data use cases
Migration from mainframes to
AWS services without downtime or
on-going need an SME
Mainframe Modernization with AWS
7

Precisely + AWS Benefits
Simple integration
Single solution to integrate,
prepare, load, cleanse,
transform & stream
mainframe data to the
AWS cloud
Real-time replication
Databases are kept
in-sync between
mainframe and cloud for
reporting, analytics, and
data warehousing
Scalable and resilient
High-performance
replication is able to
recover from network
and DB connectivity loss
Mainframe expertise
Leverages Precisely’s
50 years of experience
implementing complex
mainframe solutions
Mainframe Modernization with AWS
8

Precisely Data Replication for AWS Mainframe Modernization
Ingest and stream
Corporate Data Center
Precisely Connect
Capture
Agent
Apply
Agent
• High performance
• Parallel streams
• Transformation
• Filtering
• Copybook support
• Codepage conversion
• Auto mapping
• Schema registry support
• Monitoring and statistics
Mainframe
IMS
VSAM
File systems
Write to data stores anywhere
on-prem or in the Cloud
Amazon
DynamoDB
AWS Cloud
Amazon MSK
Connect
Amazon S3
Read mainframe data on-prem
FLAT FILES
DB2 z/OS
Mainframe Modernization with AWS
9

AAA Life
Insurance SOLUTION
• With over 1,500,000 active policies, customers
have relied on AAA Life to help provide
financial protection for those they care about
for decades.
• The company understood that modernizing
every aspect of its business operations,
especially core IT systems, was key to providing
the innovative applications and services
expected by its consumers, partners, and
internal team members.
• IBM i data is available for in real-time
• Future-proofing the architecture so that AAA
Life can implement new targets and data use
cases seamlessly
• Maximizing the investment in IBM i while
continuing to innovate and deliver new
functionality
• Eliminate need for IBM i specialized skills
• Connect for DB2 to AWS
OBJECTIVE
• Policy processing and customer analytics
hindered by reliance on multiple disparate
computing platforms and applications
• Cloud modernization initiative required extensive
integration of existing applications and data flows
• Dependent upon core business applications and
data on IBM i servers and storage systems
• Transforming, validating, and migrating extensive
volumes of historical customer and financial data
for use in cloud computing systems
CHALLENGES
BENEFITS
Mainframe Modernization with AWS
10

Look for more from
Precisely on the AWS
marketplace in 2023
Mainframe Modernization with AWS
11

As organizations make the move to cloud platforms to support modern analytics and applications, they often need to move more than their on-premises data warehouses and lakes. Organizations often have legacy mainframe systems that run their mission-critical and revenue-generating applications, and that should be included in modern cloud projects. Yet it can be difficult to replicate mainframe data onto cloud platforms to make it a part of your data-driven initiatives, due to the data’s complex format. When moving data to the cloud it needs to maintain accuracy, consistency, and context to be considered trusted data. At the same time, the data needs to be available in real time to cloud-based data management and analytics applications. Join this session for a discussion with experts from Precisely and AWS about how to bring your data to applications and services on the cloud. Topics include: The importance of mainframe data for organizationsHow to migrate/replicate mainframe data to cloud platformsHow to ensure trusted data on cloud platforms

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Zukuntssichere SAP Prozesse dank automatisierter Massendaten

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Unlocking the Potential of the Cloud for IBM Power Systems

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Are you considering leveraging the cloud alongside your existing IBM AIX and IBM I systems infrastructure? There are likely benefits to be realized in scalability, flexibility and even cost. However, to realize these benefits, you need to be aware of the challenges and opportunities that come with integrating your IBM Power Systems in the cloud. These challenges range from data synchronization to testing to planning for fallback in the event of problems. Join us for this webcast to hear about: • Seamless migration strategies • Best practices for operating in the cloud • Benefits of cloud-based HA/DR for IBM AIX and IBM i

Crucial Considerations for AI-ready Data.pdf

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This document discusses the importance of ensuring data is ready for AI applications. It notes that while most businesses invest in AI, only 4% of organizations say their data is truly AI-ready. It identifies several issues that can arise from using bad data for AI, including bias, poor performance, and inaccurate predictions. The document advocates for establishing strong data governance, quality practices, and integration capabilities to address issues like completeness, validity, and bias. It provides examples of how two companies leveraged these approaches to enhance their AI and machine learning models. The document emphasizes that achieving trusted AI requires a focus on data integrity throughout the data journey from generation to activation.

Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf

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