Impetus LeapLogic™: Automating Legacy Workflow Migrations to Amazon MWAA

This post is co-written with Gurvinder Arora and Utkarsh Jain from Impetus LeapLogic™ Technologies.

Introduction

Impetus LeapLogic™ is a cloud transformation accelerator designed to simplify, automate, and expedite legacy migration to modern cloud ecosystems. It translates workloads from traditional data warehouses, ETL (Extract, Transform, and Load), BI (Business Intelligence) reports, Hadoop, scheduled batch jobs and other environments into optimized, cloud-native formats, minimizing manual efforts and risks. Impetus LeapLogic™ enables end-to-end transition with compatibility, scalability, and enhanced performance, tailored for leading cloud providers, and is engineered to facilitate end-to-end digital transformation in complex enterprise landscapes.

In this post we explore how Impetus LeapLogic™’s end-to-end automated migration solution enables accelerated transformation from proprietary orchestration solutions like BMC Control-M and Broadcom AutoSys, to cloud native open source managed service: Amazon Managed Workflows for Apache Airflow (Amazon MWAA). We highlight some of the challenges of using the legacy tools, propose a migration lifecycle and show the benefits of the automation through the lens of a customer story.

Limitations with Legacy Orchestration Tooling

In an era where agility, scalability, and efficiency are paramount to staying competitive, legacy orchestration tools reveal their limitations in supporting evolving business needs. Traditionally established solutions struggle to meet the demands of modern workflows and infrastructure, especially as businesses increasingly transition to cloud environments and embrace DevOps methodologies. As such, the limitations of these tools do more than hinder IT processes—they directly impact business agility, cost-effectiveness, and resilience in a fast-paced digital landscape. The following table lists some of the limitations with legacy orchestration tooling.

Closed source software	Limited access to community-driven support, slower innovation cycles, and restricted customization.
Limited cloud-native capabilities	Lack support for cloud-native features such as elastic scaling, pay-per-use pricing, serverless architecture, easy accessibility, easy maintenance and upgrades; making integration with cloud infrastructures challenging and limiting the ability to leverage hybrid or multi-cloud environments.
Performance issues with large-scale workflows	Often face performance bottlenecks at scale, which can delay workflows, impair efficiency, and limit reliability under high workloads.
Manual configurations	Require labor-intensive manual configuration, adding administrative overhead and increasing the likelihood of configuration errors. This limits agility and responsiveness to change.
Less intuitive UI with lower usability	Have dated, complex interfaces that hinder user experience, slowing down onboarding and decreasing operational efficiency for teams.
Limited elasticity	Lack dynamic scalability, making it difficult to optimize resource usage in response to fluctuating workloads or evolving operational demands.
Expensive licensing cost	Licensing fees are often high, creating significant ongoing costs that scale with the size and complexity of workflows.
Lacks AI and anomaly detection features	The absence of AI-driven insights and anomaly detection prevents proactive identification, investigation and remediation of potential issues, increasing the likelihood of downtime.

Streamlining transitions through automation

Amazon MWAA, fully aligned with cloud-native and DevOps paradigms, offers fully managed Apache Airflow experience, simplifying workflow automation while enhancing scalability, flexibility, and performance. Figure 1 highlights Amazon MWAA’s key features and benefits.

Amazon MWAA’s key benefits include on demand elasticity, cost efficiency, rich integration, enhanced security and operations through a managed service that is built on an open-source platform

Figure 1 – Amazon MWAA’s Key Features and Benefits

Building on Amazon MWAA’s orchestration capabilities, Impetus LeapLogic™, an automated cloud migration accelerator, takes this modernization a step further by offering a comprehensive approach to migration and optimization. While Amazon MWAA provides a robust foundation for cloud-native workflow management, Impetus LeapLogic™ streamlines the transition from legacy tools, addressing key migration challenges, automating complex workflows, and ensuring compatibility with modern architectures.

Impetus LeapLogic™ – End-to-end migration lifecycle automation

With 80-95% automation, Impetus LeapLogic™ simplifies the end-to-end transformation of legacy orchestration workloads to Amazon MWAA, reducing time and errors. It’s streamlined four-step approach – assessment, transformation, validation, and operationalization – ensures an efficient and risk-free transition to modern cloud infrastructure. This is illustrated in Figure 2.

Proposed transformation approach comprising of the assessment, transformation, validation and operationalization steps

Figure 2 – Transformation Approach

STEP-1: Assessment	STEP-2: Transformation
Integrated assessment for several workload types Comprehensive inventory listing Workload prioritization as per the business use cases Extensive dependency analysis at job and box level (AutoSys) and job, file, and ETL-workflow level (Control-M) Advanced blueprint of target architecture Optimization opportunities for parallel execution Phased migration plan with timelines and cost estimates	Intelligent grammar engine supporting complex constructs and custom functions End-to-end transformation, packaging, and orchestration scheduling Delivers a verified, executable package meeting performance SLAs Intrinsically applies optimization and performance tuning best practices Deployment of executable packages on Amazon MWAA Preservation as well as optimization of core business logic Extensible, repeatable, and verifiable methodology Easily integrates and orchestrates AWS Glue jobs using your Amazon MWAA orchestration jobs
STEP-3: Validation	STEP-4: Operationalization
Pipeline-based automated validation on diverse datasets and complex orchestration logic Auto-generation of reconciliation scripts Automated data-level validation Cell-to-cell validation reports Data type and entity-level matching Automated, pattern-driven data quality (DQ) checks and anomaly detection Customizable, expression-driven checks for data consistency (e.g., regex, conditional logic) Detailed logging and metadata for efficient root cause analysis (RCA) and troubleshooting of detected anomalies	Release to production and go-live Infrastructure as code Job execution using Amazon MWAA Automated DevOps, including CI/CD, etc. Orchestration stabilization on Amazon MWAA Uninterrupted changeover to the new environment Documentation, training, and handholding

Migration Benefits Delivered by Impetus LeapLogic™

Compared to manual transformation, Impetus LeapLogic™’s automated transformation yields:

4x faster transformation
1.5x faster validation
2x cost-effective than manual migration
50% migration acceleration
100% risk compliance with no business disruption
100% SLA adherence simultaneously ensuring production-ready code
Preserves and reuses existing investments
Ensures 80-95% automation, ensuring minimal human intervention
With intrinsic optimizations, maintains a controlled price-performance ratio on Amazon MWAA
Reduces technical debt, complexity, and constraints with on-demand, elastic AWS architecture
Proven experience with converting millions of legacy orchestration jobs to Amazon MWAA in a timeframe of a few weeks

Watch the expert roundtable to learn how to future-proof your orchestration strategy, reduce costs, and prepare for AI-driven workloads with the power of cloud-based orchestration.

Impetus LeapLogic™ Solution Migration Architecture

Impetus LeapLogic™’s migration architecture uses a proven methodology to handle nuanced transformation of processes and existing dependencies. This structured and robust approach ensures seamless migration of complex workflows while maintaining business continuity, improving reliability, and enabling organizations to adapt to evolving business demands quickly.

Transforming a Autosys job to a Airflow DAG in Amazon MWAA using the assessment, transformation, validation and operationalization steps.

Figure 3 – Transforming a Autosys job to a Airflow DAG in Amazon MWAA

Transforming a BMC Control-M job to a Airflow DAG in Amazon MWAA using the assessment, transformation, validation and operationalization steps.

Figure 4 – Transforming a BMC Control-M job to a Airflow DAG in Amazon MWAA

As illustrated in Figure 5, apart from orchestration workloads, Impetus LeapLogic™ also migrates other disparate workloads running in the legacy environments, such as ETL scripts, DML scripts, procedural code, analytics scripts, BI reports, and custom scripts like Teradata BTEQs, etc.

Convert or rearchitect your existing legacy code, workflows and analytics solutions running on Informatica, Teradata, Tableau and others to AWS managed services like AWS Glue, Amazon QuickSight, Amazon EMR through a phrased four step transformation approach

Figure 5 – Migration steps from legacy sources to AWS managed services

With the migration architecture and best practices in place, we now turn to a real-world scenario that demonstrates the transformative impact of this migration strategy, illustrated through the journey of a valued customer.

Customer Story

A leading provider of financial information, analytics, and credit ratings company wanted to migrate their legacy AutoSys to Amazon MWAA service. The client wanted to leverage open community advantages, reduce operating costs, enable elasticity, and migrate the end-to-end stack to AWS native cloud stack.

Impetus LeapLogic™ auto-converted 1248 AutoSys jobs across two business units with ~90% automation to meet expected performance SLAs. The tech stack used was Amazon MWAA, Amazon S3, and Python.

The project started with a detailed assessment of the existing AutoSys workloads. Impetus LeapLogic™’s assessment module identified the entire inventory, conducted the complexity analysis, and identified interdependencies between workloads. The assessment stage also helped create a robust migration plan based on the dependencies. Next, within the transformation stage, all the AutoSys jobs were successfully auto-transformed. To handle custom calendars and certain AutoSys properties, customized Python scripts were created as per the scheduling frequency.

Post-transformation, all the jobs were thoroughly validated by the customer team before promoting to production environments. Additionally, the Impetus LeapLogic™ team integrated ServiceNow with the transformed jobs to track and manage issues, changes, and problems. Further the customer received operational training and handover.

The migration of legacy AutoSys jobs to Amazon MWAA successfully enabled the client to leverage the flexibility and scalability of AWS’s native cloud services, achieving seamless operational efficiency, 50%+ cost savings, reducing overall effort by more than 50% than manual migration within an end-to-end 10-week timeframe. This project underscores the transformative power of cloud migration in modernizing legacy systems. At the same time, Impetus LeapLogic™’s end-to-end support provided the foundation for a smooth transition to a robust, future-ready architecture.

Conclusion

In this post we talked about how Impetus LeapLogic™ enables a structured, automated approach to transforming and optimizing legacy orchestration workflows for modern cloud environments. By handling complex dependencies, data mappings, and workflow configurations, Impetus LeapLogic™ reduces the manual effort required in migration, minimizing risks and expediting the transition to cloud-native architectures such as Amazon MWAA.

Using intelligent automation capabilities, Impetus LeapLogic™ facilitates accurate conversion of scripts, configurations, and workflows, ensuring compatibility and performance in the target environment. This solution empowers organizations to streamline migration while preserving operational continuity, allowing teams to focus on strategic innovation rather than the complexities of manual migration.

Watch the AutoSys to Amazon MWAA migration demo video, Control-M to Amazon MWAA migration demo video to learn about the end-to-end migration strategy and approach. For more information, contact Impetus LeapLogic™ at info@leaplogic.io, visit Impetus LeapLogic™ website www.leaplogic.io. You can also find Impetus LeapLogic™’s products on the AWS Marketplace or use their AutoSys to Amazon MWAA Marketplace offering.

Migration & Modernization