Moving legacy data architecture to AWS can help enterprises enhance operational resiliency, improve productivity, enable faster innovation, and fuel growth. However, migrating years of legacy business code, logic, and workloads to AWS has multiple challenges like the risk of business disruption, huge manual effort that turns costly with overruns and inefficiency, and the risk of losing logic and legacy code during conversion.

LeapLogic, an Impetus product for automated workload transformation, addresses all these concerns. Its intelligent grammar engine identifies optimization opportunities at schema, code, and execution levels and automatically converts all types of workloads, logic, and workflows to AWS-native stack.

How does LeapLogic work?

LeapLogic enables end-to-end transformation, operationalization, and transitioning of data warehouse, ETL, analytics, and Hadoop workloads in four steps:

1. Assessment: Complete analysis of workloads, code profiling, and dependencies with actionable recommendations
2. Transformation: End-to-end transformation, including core business logic to AWS-native equivalents (click here to map the migration of critical legacy workloads to AWS-native stack)
3. Validation: Validation for pipelines, data, and row and cell-level queries
4. Operationalization: Target-specific executable packaging with the optimal price-performance ratio