A Data-First Approach to Mainframe Modernization with AWS Transform and Qlik
AWS Partner Network Blog
This article describes a data-first approach to mainframe modernization combining AWS Transform's agentic AI with Qlik's Change Data Capture (CDC) capabilities for incremental, lower-risk migration.
- AWS Transform analyzes mainframe codebases (COBOL, PL/I, JCL) and maps data dependencies to cloud-native microservices
- Qlik Replicate streams mainframe data via log-based CDC to AWS targets (RDS, Aurora, Redshift, S3) in near-real-time
- Blue/green deployment pattern allows modernized applications to run in parallel with mainframe while data stays synchronized
- Reverse CDC enables bidirectional sync, reducing cutover risk during coexistence phase
- Qlik Cloud Analytics and Amazon Quick provide real-time dashboards tracking migration progress, data quality, and CDC latency
- Modular architecture allows organizations to adopt components independently based on modernization priorities
This approach transforms mainframe modernization from risky all-or-nothing migrations into repeatable, wave-by-wave programs that minimize disruption and data loss.
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