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    Autosys workload Modernization

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    Eliminate your Autosys dependency and modernize to Apache Airflow —comprehensive assessment, pilot for 100 jobs, and a clear roadmap to transform your entire environment. Hexaware’s Autosys to Apache Airflow Modernization offering leverages advanced AI powered automation to transform legacy Autosys job scheduling workflows into scalable, cloud-native Apache Airflow DAGs. Delivering up to 70% automation in migration, it drastically reduces manual effort, accelerates time-to-market, and minimizes business disruption. Clients gain significant cost savings by eliminating high Autosys licensing fees, improving workflow agility, and enhancing operational visibility. The solution enables resilient, event-driven orchestration that boosts productivity, reduces downtime, and supports rapid innovation—empowering enterprises to achieve greater scale, flexibility, and cloud efficiency.

    Overview

    Estimated cost: USD 50,000 with a typical duration of 6 weeks for assessment and pilot for 100 jobs

    By modernizing from Autosys to Apache Airflow, clients can significantly reduce total cost of ownership by 30-50% through elimination of expensive licensing fees and optimized infrastructure. The solution accelerates time-to-market, enabling deployment of new or modified workflows 40-60% faster using Airflow’s DAG-as-code capabilities and CI/CD automation, which enhances business agility and responsiveness. Enterprises gain improved operational visibility with unified workflow monitoring, lineage, and auditability, fostering proactive troubleshooting and SLA enforcement. Additionally, maintenance complexity is reduced through reusable operator libraries, standardized templates, and modular DAG design, boosting developer productivity and simplifying ongoing operations.

    Powered by Hexaware’s proprietary US patented AI powered Amaze® accelerator, this offering combines deep automated assessment, AI-driven conversion, and rigorous validation to enable enterprises to drastically reduce costs, improve agility, and future-proof their workload automation infrastructure. The offering follows a structured phased approach starting with a 1-week discovery workshop and an automated assessment that delivers a detailed report within the same week. This is followed by a pilot migration of 100 selected jobs executed over 2-3

    weeks to validate the migration strategy and outcomes. Finally, within one week, the pilot results are reviewed to finalize a comprehensive, full-scale migration roadmap. This approach ensures clear milestones, risk mitigation, and aligned investment based on proven pilot success.

    Key Features:

    Comprehensive Assessment and Discovery

    Begin with a detailed automated assessment of your existing Autosys environment, including job inventories, dependencies, embedded business logic, and workflow complexity. This phase delivers valuable insights into migration readiness, risk factors, and optimization opportunities through a fully automated scanning and analysis process.

    Pilot Migration of 100 Jobs

    Conduct a pilot migration where 100 representative Autosys jobs are converted into Apache Airflow DAGs using the Amaze® automation platform. This validates the conversion approach, performance improvements, workflow integration, and functional parity, ensuring minimal disruption and solid business outcomes before scaling.

    Amaze®-Powered Automation

    Amaze® drives up to 70% automation in converting Autosys jobs including complex dependencies, shell scripts, calendar triggers, and job chains into reproducible, code-driven Airflow DAGs. This reduces manual errors, accelerates timelines, and lowers the overall migration cost.

    Modern, Cloud-Native Architecture

    Employ Apache Airflow running on managed AWS MWAA or containerized Kubernetes platforms to provide elastic scalability, high availability, intelligent retry mechanisms, SLA enforcement, and enhanced observability through unified monitoring and lineage tracking.

    Security and Compliance

    Incorporate enterprise-grade security through role-based access control, secrets management, and audit logging. Ensure adherence to regulatory requirements with clear governance models around workflow execution and access.

    Business Benefits:

    Significant Cost Savings

    Eliminate expensive Autosys licensing and reduce operational overhead, achieving into the range of 30-50% total cost of ownership (TCO) reduction by shifting to an open-source, cloud-native platform.

    Accelerated Time-to-Market

    Accelerate deployment of new or modified workflows by 40-60% using Airflow’s DAG-as-code capabilities combined with CI/CD automation, enabling business responsiveness and innovation.

    Improved Visibility and Governance

    Gain unified monitoring, lineage, and auditability of workflows across your enterprise. Enhanced troubleshooting and SLA management result from Airflow’s rich UI and observability features.

    Reduced Operational Complexity

    Simplify maintenance through reusable operator libraries, standardized templates, and modular DAG design, which also improves developer productivity and knowledge transfer.

    Outcomes:

    Clients adopting this offering will receive detailed assessment reports and results from a validated pilot migration of 100 jobs, providing confidence for enterprise-wide rollout. Hexaware’s expert-led, automation-powered migration journey mitigates risk, reduces manual effort, and unlocks scalable, future-proof workflow orchestration on Apache Airflow. Clients benefit from improved operational efficiencies, accelerated modernization, and cloud agility aligned with strategic business objectives

    Highlights

    • Amaze® accelerator enables up to 70% automation, drastically reducing manual effort and migration timelines
    • Proven pilot migration of 100 critical Autosys jobs ensures validated, low-risk modernization outcomes
    • Enables up to 50% reduction in total cost of ownership by eliminating costly Autosys licensing and leveraging cloud-native Apache Airflow orchestration

    Details

    Delivery method

    Deployed on AWS
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