Modernizing Legacy Systems: AI-Enhanced Cloud Adoption Frameworks
“By 2030, 80 percent of heritage financial services firms will go out of business, become commoditized, or exist only formally but not competing effectively”, predicts Gartner.
This session explores the integration of AI, specifically ChatGPT, into cloud adoption frameworks to modernize legacy systems. Learn how to leverage AWS Cloud Adoption Framework (CAF) 3.0, Microsoft Cloud Adoption Framework for Azure, and Google Cloud Adoption Framework to build cloud-native architectures that maximize scalability, flexibility, and security. Designed for architects, technical leads, and senior IT professionals, this talk provides actionable insights and strategies for successful digital transformation.
Cloud adoption frameworks are essential for accelerating digital business transformation by leveraging the power of cloud technologies. This talk will guide you through the AWS Cloud Adoption Framework (CAF) 3.0, Microsoft Cloud Adoption Framework for Azure, and Google Cloud Adoption Framework, focusing on building cloud-native architectures that ensure scalability, flexibility, and security.
The session will delve into the strategic role of AI, particularly ChatGPT, in modernizing legacy systems. By understanding and implementing these frameworks, you will learn to navigate the complexities of transitioning from legacy systems to modern cloud-based architectures. This talk will provide practical steps and real-world case studies to help you effectively plan and execute your cloud adoption strategy.
Legacy systems can be assets and obstacles, providing reliable functionality but often becoming burdensome to maintain and evolve. In this talk, we will confront the challenges of working with legacy architectures and discover the strategic approaches for modernization. By examining the benefits and risks of incremental migration versus full system rewrites, attendees will learn the most suitable path for their unique situations.
Through practical examples and case studies, we will explore how successful organizations have revitalized their aging architectures, preserving the value of legacy investments while embracing innovation and adaptability. From small-scale legacy components to large-scale monolithic systems, we'll cover diverse modernization scenarios, allowing participants to glean insights applicable to their projects.
Whether your organization is facing budget constraints, a need for rapid modernization, or concerns about maintaining critical functionality, this talk offers a comprehensive guide to navigating the legacy landscape and crafting a roadmap to rejuvenate aging architectures.
Agenda:
Introduction:
- Overview of the session
- Importance of cloud adoption frameworks in digital transformation
- Introduction to AI and ChatGPT in modernizing legacy systems
Understanding Cloud Adoption Frameworks:
- Overview of AWS Cloud Adoption Framework (CAF) 3.0
- Introduction to Microsoft Cloud Adoption Framework for Azure
- Introduction to Google Cloud Adoption Framework
- Key components and benefits of each framework
Strategic Role of AI in Legacy Modernization:
- How AI, particularly ChatGPT, is revolutionizing the modernization of legacy systems
- Benefits of integrating AI in cloud adoption frameworks
Steps for Moving Legacy Systems to the Cloud:
- Assessing legacy systems and identifying modernization opportunities
- Using CAF frameworks to plan and execute migration strategies
- Incremental migration vs. full system rewrites
- Ensuring compliance, security, and performance during the transition
ChatGPT's Role in Legacy Analysis:
- Utilizing ChatGPT for analyzing legacy code
- Aiding in documentation and understanding complex, outdated codebases
- Practical examples of ChatGPT in legacy modernization
Building Cloud-Native Architectures:
- Designing scalable, flexible, and secure cloud-native solutions
- Leveraging cloud-native services and best practices
- Implementing continuous integration and continuous delivery (CI/CD) pipelines
Case Studies and Real-World Applications:
- Examples of successful legacy system modernizations using AI and cloud frameworks
- Lessons learned and best practices from leading organizations
Practical Tips and Best Practices:
- Actionable advice for managing and optimizing cloud migration
- Strategies for ensuring successful digital transformation
Conclusion and Q&A:
- Recapitulation of key takeaways
- Addressing final questions and facilitating discussions with the audience
- Highlighting the future of AI and cloud adoption in modernizing legacy systems
Participants will leave this session equipped with a robust understanding of how to leverage AI, particularly ChatGPT, in the context of legacy system modernization. You will gain strategic insights, practical tools, and actionable knowledge to lead your teams and projects towards successful, AI-enhanced modernization efforts, ensuring your organization remains competitive and agile in a rapidly evolving digital landscape.
About Rohit Bhardwaj
Rohit Bhardwaj is a Director of Architecture working at Salesforce. Rohit has extensive experience architecting multi-tenant cloud-native solutions in Resilient Microservices Service-Oriented architectures using AWS Stack. In addition, Rohit has a proven ability in designing solutions and executing and delivering transformational programs that reduce costs and increase efficiencies.
As a trusted advisor, leader, and collaborator, Rohit applies problem resolution, analytical, and operational skills to all initiatives and develops strategic requirements and solution analysis through all stages of the project life cycle and product readiness to execution.
Rohit excels in designing scalable cloud microservice architectures using Spring Boot and Netflix OSS technologies using AWS and Google clouds. As a Security Ninja, Rohit looks for ways to resolve application security vulnerabilities using ethical hacking and threat modeling. Rohit is excited about architecting cloud technologies using Dockers, REDIS, NGINX, RightScale, RabbitMQ, Apigee, Azul Zing, Actuate BIRT reporting, Chef, Splunk, Rest-Assured, SoapUI, Dynatrace, and EnterpriseDB. In addition, Rohit has developed lambda architecture solutions using Apache Spark, Cassandra, and Camel for real-time analytics and integration projects.
Rohit has done MBA from Babson College in Corporate Entrepreneurship, Masters in Computer Science from Boston University and Harvard University. Rohit is a regular speaker at No Fluff Just Stuff, UberConf, RichWeb, GIDS, and other international conferences.
Rohit loves to connect on http://www.productivecloudinnovation.com.
http://linkedin.com/in/rohit-bhardwaj-cloud or using Twitter at rbhardwaj1.