Migrating Legacy Financial Systems to Cloud: Challenges and Best Practices
summary
Legacy Java 6 systems at a large bank migrate over 3–4 quarters by building a data‑driven roadmap, keeping the old stack live while reimplementing services from scratch, and ramping traffic 15→30→70% during phased cutovers. Deployments move from multi‑script manual runs to blue‑green deployments on Kubernetes (EKS) + Terraform with node pools, autoscaling and JWT/MFA in backend auth. Data migration from Oracle uses staged lakes/pools, Kafka and Cassandra integrations are shown as examples, documentation is mandatory, and the effort saves millions via cloud cost and operational efficiency.
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chapters (10)
- 0:00Migrating financial systems to cloud
- 2:33Phased migration roadmap
- 5:24Blue-green deployment with Kubernetes
- 7:31Cost efficiency and scalability
- 9:14Business continuity during migration
- 10:58Importance of documentation
- 12:47Data migration challenges
- 15:37Integrating with existing ecosystem
- 16:39Overcoming resistance to change
- 17:21Conclusion
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