1. The Future of
Mainframe Data is in
the Cloud
Ashwin Ramachandran, VP Product Management Data
Integration, Precisely
Maggie Li, Principal Engineer, Amazon Web Services

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3. 3
Mainframes
host the
most critical
applications
92 Top world
banks
10 of the world’s
top insurers 23 of the top 25
US retailers
$2.5 bn
Transactions / day / per MF
71%
of the
fortune 500
$2.9 bn
Mainframe market by 2025

4. of organizations will
embrace a cloud-first
principle by 2025
85%
of leaders site data
modernization as the reason
for their shift to cloud
55%
of wasted migration
spend is expected over
the next three years
$100 bn
Approximately

5. Inefficient migration
comes at a heavy cost
5
75%
of cloud migration
projects are overbudget
38%
of cloud migration projects
run behind schedule

6. © 2023, Amazon Web Services, Inc. or its Affiliates.
Need for mainframe modernization
Modernization Drivers
Mainframe Questions
Increase Agility
Reduce costs
Mitigate risks
Complex dependencies
Slow release cycles
Escalating costs
Skills shortage
Locked data
Vendor lock-in
Technical debt
Siloed platform
Tightly coupled
Limited capacity
Little innovation
Long procurement
Outdated interfaces
Legacy components
Undocumented code
Performance?
Resiliency?
Security?
Business case?

7. © 2023, Amazon Web Services, Inc. or its Affiliates.
“AWS Mainframe Modernization service is a cloud native platform to
modernize, migrate, run, and operate mainframe applications.”

8. © 2023, Amazon Web Services, Inc. or its Affiliates.
Mainframe analytics using AWS Mainframe
Modernization Data Replication with Precisely
AWS Cloud
Corporate data center
Data files
Transaction
manager
Batch
subsystem
Monitoring Scheduler
COBOL, PL/I, JCL
Mainframe operating system
Database
Mainframe
Data Integration Data Stores Data Analytics
Data Capture
AWS Mainframe
Modernization
Data Replication
Streaming Processing
Data warehouse
Data lake
Business intelligence
Machine learning
Interactive queries
Real-time search

9. © 2023, Amazon Web Services, Inc. or its Affiliates.
AWS Cloud
Corporate data center
Data files
Transaction
manager
Batch
subsystem
Monitoring Scheduler
Applications
Mainframe operating system
Database
Mainframe
AWS Mainframe Modernization service
Load Balancer API Gateway
File storage
Web Messages
Screens Messages
Messaging
Managed runtime
Refactored
application
Screens
Managed runtime
Replatformed
application
Data Replication
New functions
New channels
Relational database NoSQL database
Mobile
Large migration leveraging AWS Mainframe
Modernization Data Replication with Precisely

10. © 2023, Amazon Web Services, Inc. or its Affiliates.
New functions and channels using AWS Mainframe
Modernization Data Replication with Precisely
AWS Cloud
Corporate data center
Data files
Transaction
manager
Batch
subsystem
Monitoring Scheduler
COBOL, PL/I, JCL
Mainframe operating system
Database
Mainframe
Data Integration Data Stores New functions
Data Capture
AWS Mainframe
Modernization
Data Replication
Streaming Messaging
Relational database
NoSQL database
Web applications
Functions
APIs
Mobile
Real-time replication Codepage conversion Parallel streams

11. © 2023, Amazon Web Services, Inc. or its Affiliates.
AWS and Precisely help drive customer success
- Refactor
- Replatform
- Augment
- Managed runtimes
Cloud-native fully-managed
aws Mainframe Modernization service
aws professional services Delivery Kits
aws Mainframe Modernization Methodology
AWS Assess – Mobilize – Migrate & Modernize
AWS Mainframe MAP (Migration Acceleration Program)
aws professional services delivery practices
AWS mainframe-dedicated organizations
Orgs: Sales, Tech Sales, Partner, Product, ProServe
Sectors: Commercial, Public sector, FSI
Geos: NAMER, LATAM, EMEA, APJ
Publications
Service documentation, AWS Prescriptive Guidance
articles, Blog posts
aws training & certification
mainframe curriculum
Modernize
mainframe
applications
aws Competency
6 Software partners
aws Competency
11 Services partners
aws partner network
62+ technology partners
aws partner network delivery practices
57+ offerings
aws well-architected
AWS Compliance shared responsibility

12. OBJECTIVE
One of the nation’s oldest financial
institutions with $188.4 billion in
assets offers a broad range of retail
and commercial banking products
and services. They are known to offer
tailored advice, ideas, and solutions
based on their customers needs.
Looking to modernize their
mainframe while also improving
customer satisfaction and the overall
“digital bank” experience.
CHALLENGES
• Struggling to deliver consistent,
accurate data to customers
across channels leading to
customer churn
• Missed opportunities to sell
additional services resulting in lost
revenue
• $1 million in costs to provide real-
time data from the mainframe
BENEFITS
• Reduced MIPS usage, lowering
mainframe operational costs
• Improved customer experience
resulting in less churn and use
of lower cost customer service
channels
• Faster time to market than
competitive alternatives
(150-250 days)
• Reduction of manual and
redundant system processing
SOLUTION: Precisely Connect for VSAM to Kafka on AWS
North American Bank
overall reduction
in costs
reduction in
MIPS usage

13. OBJECTIVE
Moving clients’ mission-critical core
banking applications to the AWS
cloud (payments, transfers, etc.) for
more modern user experience,
scalability, and future maintainability.
Deliver data with extremely low
latency from backend mainframes to
front end applications running on
AWS.
CHALLENGES
• Real-time data delivery without
mainframe impact
• Need a repeatable process to
deploy integration on a client-by-
client basis
• Wanted an organization that
would partner on their needs
BENEFITS
• Ability to scale, delivering data in
near-real-time (hundreds of
milliseconds)
• No backpressure on the
mainframe ensuring core banking
systems continue to run without
negative performance impact
• Utility-like operation simplifies
DevOps and client onboarding
SOLUTION: Precisely Connect for IMS, VSAM, and Db2 to Kafka on AWS
Payments processor in North America

14. Precisely addresses customer modernization challenges
You’ve struggled with traditional solutions. We have a new vision for modern data integration.
Data access owned by IT Collaboration between IT and business data users
Massive, loosely integrated solutions Just the scalable, interoperable capabilities you need
Data must be brought to the solution Workflows designed for the cloud that run alongside data
Slow, batch ETL processes Streaming data pipelines to the cloud
Separate business and IT metadata Scalable, shared catalog of business & technical metadata
Rules-based data management AI-driven quality rules, alerts, and data enrichment

15. Data
Integration
benefits Accelerate application
modernization
Extend the value of
your mainframe data
Future-proof your
architecture
Integrate complex
data formats
Democratize
your data

16. Cloud / VPC / On-Premises
Data
Integration
Data
Observability
Data
Quality
Geo
Addressing
Spatial
Analytics
Data
Governance
Data
Enrichment
APIs and SDKs
Enterprise Business
Systems
• Enterprise apps
• Analytics tools
• Precisely industry
apps
• BI dashboards
• AI/ML
Enterprise Data
Sources
• Business Intelligence
• CRM
• Workforce mgmt.
• Data warehouse
• ERP
• Billing
Data Integrity Services
Data Integrity Foundation Data catalog Intelligence Agents

17. Key takeaways
• Your data strategy needs to
include mainframe and cloud
• Modernization does not equal
migration
• Solid integration strategy
is a key to success

18. Questions?