Automated migration from AutoSys to Amazon MWAA with Leaplogic

Legacy orchestration tools and techniques, such as AutoSys, are becoming less cost-effective and require modernization to meet current business demands. One of the most viable, flexible, performant, and user-friendly native cloud orchestrators is —Amazon Managed Workflows for Apache Airflow (MWAA). LeapLogic enables end-to-end modernization of legacy AutoSys orchestrator workloads in four steps:

1. Assessment: Profiles legacy workloads, identifies interdependencies, and provides actionable prescriptive recommendations alongside a robust offload plan.

2. Transformation: Transforms all the legacy code and business logic to the target equivalent code – automatically with inherent optimizations. Rather than a slow line-by-line conversion, it leverages an intelligent grammar-driven, pattern-based code conversion approach.

3. Validation: Ensures the correctness and consistency of the conversion process by generating cell-level validation reports and certifying workloads for production.

4. Operationalization: Provides a DevOps-ready modernized environment and decommissions the legacy systems.

LeapLogic has helped several large enterprises transform their workloads to the cloud while preserving years of business logic, workflows, and execution rules. By leveraging cutting-edge technology and innovation, it has delivered powerful outcomes for many enterprises across various domains over the years.

AutoSys, with its various technical limitations including—high licensing costs, manual configurations, limited cloud-native capabilities, low usability, limited elasticity, inadequate support for CI/CD, difficulty in managing complex dependencies, lack of advanced analytics or AI/anomaly detection features, limited real-time monitoring, and performance issues with large workflows, poses significant challenges. LeapLogic seamlessly migrates legacy AutoSys orchestrator workloads to Amazon MWAA, effectively overcoming these limitations to drive substantial cost savings and operational efficiencies.