Migrating Mission Critical Workloads from Mainframe to Open Source

Explore the challenges and learnings of migrating mission-critical workloads from mainframes to open-source distributed systems in this insightful conference talk by U.S. Bank representatives. Discover how the 5th largest bank in the United States successfully moved 60% of its requests to a new Cassandra-based solution, reducing mainframe utilization. Learn about the streaming solution using Spring Boot, Kafka, and Spark that synchronizes data between Cassandra and mainframes in under 500 milliseconds. Gain valuable insights into proving the reliability, data consistency, security, and performance of open-source solutions for mission-critical operations. Understand the architecture, implementation process, and benefits of this digital transformation, including cost savings and improved scalability. Delve into topics such as missing event detection, data reconciliation, and the use of materialized views. Examine the challenges faced during the migration effort, the time required to build the streaming pipeline, and the reasons behind the decline of mainframe usage in favor of private cloud solutions.

Intro
Background
US Bank
Digital Transactions
Mainframe Architecture
Mainframe Learnings
Mainframe Pipeline
Missing Events
Summary
Missing Events Detection
Data Reconciliation
Highlights
How long was the migration effort
How long did it take to build the streaming pipe
What is a materialized view
Kafka
UI Layer
Why its not tangible
Why its declining
Private Cloud