Demystifying Mainframe Migration-v2.pptx

w w w . f e u j i . c o m
Demystifying Mainframe Migration

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Overview
Art Of Possibilities
Migration & Modernization Softwares
Common Pitfalls
Security Angle
Agenda
Measuring Success

Evolution of Mainframes
3
Hardware
Software
S/360 S/370 S/370XA-31 bits ESA/390 CMOS-Parallel
Sysplex
z/Architecture-64 bits
MVT,PCP
MFT
MVS-VTAM MVS/XA
MVS/ESA
OS/390
USS-
TCP/IP
z/OS
CICS VM DB2 WebSphere Linux
z/VM
1964 1970 1980 1990 2000 2004

Anatomy of Legacy Mainframe Application
4

Mapping
5

Mapping
6

Reference Architectures - Cloud
7

Reference Architectures-Cloud
8

Reference Architectures Cloud
9

Art of Possibilities
10
Specific Apps
Specific Data or Apps
Specific Apps
Starting point Region Extension
Rehost/Replatform
Refactor leveraging
Reimagine
Objective served
1. Future-proof utopian IT state.
2. 100X business growth
Objective served
1. Language Upgrade.
2. Cloud native application.
3. Database modernization
Migrate mainframe
applications and data to cloud.
Objective served
Lift & shift to GCP Region Extension
Objective Served
1. Reduction of Operational
Expense.
2. Technology
standardization.
3. Database unlock
1. Data center Exit.
2. No impact on business or
application performance from
multi year transformation
roadmap.

The Journey To Cloud
11

Mainframe Application Migration & Modernization software
12

Features
13
Software Key Features Supported Technologies Integration & Ecosystem Deployment Models
Blue Age
Automated migration of mainframe applications. COBOL, PL/I, Assembler, Integration with various platforms,
On-premises, Cloud
Code analysis, transformation, and refactoring. JCL, CICS, IMS, DB2, VSAM, etc. DevOps tools support
Modernization to Java, .NET, Cloud, and more.
Micro Focus Modernizes COBOL applications, UI/UX enhancement, etc. COBOL, Mainframe languages Extensive partner ecosystem, On-premises, Cloud
(Visual COBOL)
Integrated IDE, mobile app development, integration with DevOps tools
cloud deployment.
IBM Application Facilitates migration, modernization, and COBOL, PL/I, Assembler, Integration with IBM tools and On-premises, Cloud
Modernization
and Connectivity
refactoring of applications. Natural/Adabas, JCL, etc. platforms, API connectivity
Includes tools for analysis, code transformation,
service enablement.
TmaxSoft Migration from mainframe to OpenFrame platform. COBOL, PL/I, CICS, JCL, Integration with existing systems, On-premises, Cloud
(OpenFrame)
COBOL to Java transformation, rehosting COBOL apps. IMS, IDMS, VSAM, etc. support for cloud-native
Modernization of legacy apps for web/mobile. architectures
Software AG Legacy modernization, API enablement, Natural, ADABAS, COBOL, Integration with various platforms, On-premises, Cloud
(Adabas &
Natural)
application integration. PL/I, Assembler, JCL, etc. DevOps tools support
Transformation of Natural apps to Java.
Modern Systems Automated migration and modernization. COBOL, PL/I, Assembler, Integration with DevOps and CI/CD On-premises, Cloud
(ModSys)
Replatforming to Windows, Linux, or Cloud. JCL, Adabas/Natural, DB2, etc. tools
Code analysis, transformation, and refactoring.

Common Pitfalls
14
Underestimating Complexity and Scope: Mainframe systems often have
complex architectures and interdependencies that can be challenging to fully
understand and document. Underestimating the scope and complexity of the
migration effort can lead to budget overruns, project delays, and unexpected
technical challenges.
Lack of Comprehensive Planning: Inadequate planning is a major pitfall.
Organizations should conduct thorough assessments of their existing mainframe
environment, identify critical business processes, set clear goals for the migration,
and create a detailed roadmap for the modernization process.
Insufficient Testing: Proper testing is crucial to ensure that the migrated or
modernized system functions as expected. Failure to thoroughly test the system
can lead to performance issues, security vulnerabilities, and operational
disruptions.
Data Migration Challenges: Migrating data from a mainframe to a modern
system can be complex due to differences in data formats, structures, and
integrity constraints. Inadequate data migration planning can result in data
corruption, loss, or inconsistencies.
Lack of Skillset: Migrating from a mainframe environment to modern
technologies might require a different skillset. Organizations should ensure that
their team has the necessary expertise or consider partnering with external
experts.
.
Vendor Lock-In: Organizations may choose a vendor or technology stack without
considering the long-term implications. This can lead to vendor lock-in, making it
difficult and costly to switch to alternative solutions in the future.
Ignoring Security Concerns: Mainframes are known for their robust security features.
Failing to address security considerations during migration and modernization can
expose the new system to vulnerabilities that were not present in the mainframe
environment.
Disregarding Legacy Business Logic: Mainframe applications often contain decades'
worth of business logic. Neglecting to accurately replicate or adapt this logic can result
in functional gaps and user dissatisfaction.
Inadequate Change Management: Transitioning to a new system can disrupt
established workflows and user habits. Poor change management practices can lead to
resistance, confusion, and decreased productivity among users.
Overlooking Performance Optimization: Modernized systems may not perform
optimally if the migration process doesn't include thorough performance optimization
and tuning efforts.
Rushing the Process: Rushing through the migration and modernization process to
meet deadlines can lead to hasty decisions, inadequate testing, and suboptimal results

The Security Angle
15
Data Protection and Privacy: Mainframe systems often store large amounts of
sensitive data, including personal, financial, and proprietary information. During
migration, it's essential to ensure that data remains protected, and that data-at-rest and
data-in-transit encryption mechanisms are in place to safeguard against unauthorized
access.
Access Control and Authentication: The migration process might involve changes to
the authentication and access control mechanisms. Organizations should implement
strong identity and access management practices, including multi-factor authentication,
to prevent unauthorized users from accessing the new system.
Network Security: Modern systems may use different networking architectures than
mainframes. Organizations should assess network security requirements, implement
firewalls, intrusion detection/prevention systems, and segment networks to minimize
the attack surface and mitigate potential threats.
Application Security: As applications are migrated or modernized, they need to be
evaluated for vulnerabilities and security weaknesses. This includes identifying and
addressing potential security gaps, coding flaws, and input validation issues that could
lead to security breaches
Security Auditing and Logging: Robust auditing and logging mechanisms should be
in place to monitor user activities, detect anomalies, and track security events. This can
help organizations identify and respond to security incidents effectively.
Compliance and Regulatory Considerations: Depending on the industry,
organizations might be subject to specific compliance regulations (e.g., GDPR,
HIPAA, PCI DSS). The migration process should ensure that these regulations are still
adhered to in the new environment.
Secure Data Migration: The process of migrating data from a mainframe to a
modern system should be performed securely. This includes data validation, integrity
checks, and encryption during data transfer to prevent data leakage or corruption.
Patch Management and Vulnerability Scanning: The new environment must have
a process in place for timely patching and updating of software components to
address known vulnerabilities. Regular vulnerability scanning helps identify and
remediate security weaknesses.
Incident Response and Disaster Recovery: A robust incident response plan and
disaster recovery strategy should be in place to address potential security breaches
or system failures. This includes backup and restoration procedures to ensure
business continuity.
Training and Awareness: Personnel involved in the migration process, as well as
end-users of the new system, should receive proper training in security best
practices and potential security threats. This can help prevent accidental security
breaches due to human error.
Third-Party Integration Security: If the migration involves integrating with third-
party systems or services, organizations need to assess the security posture of these
external components to ensure they don't introduce vulnerabilities into the new
environment.

Measuring Success
16
Business Goals Achievement: Evaluate whether the migration has aligned with the
organization's overall business objectives. Are you achieving increased agility, cost
savings, improved customer experiences, or other strategic goals set for the migration?
Cost Savings and ROI: Calculate the actual cost savings achieved through reduced
infrastructure and operational expenses. Compare these savings to the initial investment
made in the migration process. A positive return on investment (ROI) indicates a
successful migration.
Performance Improvement: Assess whether the migrated applications are performing
better in terms of response time, scalability, and overall efficiency in the cloud
environment compared to the legacy mainframe system.
Uptime and Reliability: Measure the uptime and availability of the applications post-
migration. Evaluate if the cloud environment provides the desired level of reliability and
if there have been any improvements in system availability.
Scalability and Flexibility: Determine whether the cloud environment allows for easy
scaling of resources based on demand. This can help handle workload spikes efficiently
and adapt to changing business needs.
User Experience Enhancement: Solicit feedback from users to gauge whether the
migrated applications offer an improved user experience in terms of usability,
responsiveness, and accessibility.
Adaptability to Change: Gauge the organization's ability to adapt to the new cloud
environment, embrace new practices, and leverage modern technologies effectively.
Lessons Learned: Reflect on challenges faced during migration and identify areas for
improvement in future projects.
Faster Time to Market: Assess whether the cloud environment has facilitated faster
development and deployment cycles. This can be measured by comparing the time
taken to release new features and updates before and after migration.
Operational Efficiency: Evaluate whether the migration has streamlined IT
operations, reduced manual processes, and simplified management of applications.
Security and Compliance: Verify that the migrated applications maintain or
enhance security and compliance standards. Assess whether the cloud environment
provides better security features and controls compared to the mainframe.
Data Management: Determine if data integration, migration, and management
processes have been successful and if data is being effectively utilized in the cloud
environment.
User Adoption and Satisfaction: Survey users to gather feedback on their
experience with the migrated applications. High user adoption rates and positive
user feedback indicate a successful migration.
Downtime and Disruptions: Measure the extent of planned and unplanned
downtime during and after the migration. A successful migration minimizes
disruptions to business operations.
Migration Time and Complexity: Assess whether the migration was completed
within the projected timeframe and if the complexity of the migration process was
managed effectively.
Vendor Support and Relationships: Evaluate the level of support received from the
cloud service provider and any third-party vendors involved in the migration. A
good relationship and responsive support are indicators of success.

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Demystifying Mainframe Migration-v2.pptx

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