jcl-migration-analyzer

JCL migration to modern batch workflows involves analyzing legacy scripts to extract job structures, step sequences, and data dependencies. This process generates structured migration reports and implementation strategies for platforms like Spring Batch, Apache Airflow, or Kubernetes Jobs.

JCL COND logic translation requires extracting conditional step execution rules from legacy scripts and mapping them into modern workflow orchestration patterns. The analysis produces structured data detailing these dependencies to guide implementation in target platforms like Airflow or Spring Batch.

Analyzing mainframe JCL dependencies for migration involves parsing job cards, DD statements, PROCs, and GDGs into a structured JSON report. This extracts data flows and step sequences to produce accurate workflow definitions and risk estimates for target platforms.

Yes, you can use JCL analysis to plan a Spring Batch migration. The analyzer extracts program invocations and data dependencies from legacy scripts, producing workflow definitions, effort estimates, and recommended implementation patterns specifically tailored for Spring Batch.

JCL migration supports generating Apache Airflow DAGs by extracting step sequences and conditional logic from legacy scripts. The analysis outputs structured data and migration strategies detailing how to map job structures and data dependencies into Airflow workflow definitions.

A limitation of migrating JCL to shell scripts is handling complex COND logic and GDG dependencies, which may lack direct shell equivalents. The migration analysis identifies these constraints, providing risk and effort estimates to guide implementation pattern decisions.