Sold by: Perficient, Inc.
Perficient's AI Led Mainframe Modernization offering accelerates enterprise COBOL portfolio transformation to cloud-native Java on AWS, using AWS Transform's AI-powered automation to handle codebase analysis, domain decomposition, COBOL-to-Java refactoring, and test planning at scale. The engagement supports Refactor and Reimagine modernization patterns, with Perficient mainframe SMEs providing human-in-the-loop governance at critical decision points to preserve business-critical logic throughout migration waves. Organizations achieve dramatic reductions in mainframe total cost of ownership, faster release cycles, and access to modern AWS-managed services while eliminating the dependency on scarce mainframe talent.
Overview
Perficient's AI Led Mainframe Modernization offering transforms legacy IBM zOS and Fujitsu GS21 mainframe environments into cloud-native Java applications on AWS, powered by AWS Transform, the AI-powered platform purpose-built for mainframe modernization at scale. AWS Transform automates the most expensive and error-prone phases of the modernization journey: codebase analysis, business logic extraction, domain decomposition, COBOL-to-Java refactoring, test planning, and test data collection. The offering supports three core modernization patterns: Refactor (converting COBOL to functionally equivalent Java with optional reforging to modern Java idioms), Reimagine (reverse engineering business logic and regenerating modern application code using KIRO, AWS's AI-assisted forward engineering tool), and Replatform. Perficient wraps this platform capability with deep mainframe domain expertise, delivery governance, and human-in-the-loop decision-making at key checkpoints to ensure business-critical logic is preserved throughout every migration wave.
Enterprise organizations running COBOL portfolios of millions of lines face escalating mainframe total cost of ownership, a shrinking talent pool of mainframe specialists, and an inability to compete on release velocity. Perficient's structured engagement spans from assessment through production cutover, migrating workloads domain by domain to minimize risk and maintain operational continuity. Each wave completes a full cycle of refactoring, testing, and cutover, with Perficient mainframe SMEs and client domain experts validating transformation artifacts before execution. This iterative, domain-driven delivery model reduces the risk of big-bang failure that has historically undermined mainframe modernization programs.
Organizations achieve dramatic improvements across cost, speed, and capability. Migrating workloads off the mainframe to AWS reduces infrastructure costs significantly, eliminating MIPS-based licensing and specialized hardware expenses. Release cycles that once measured in months accelerate to weeks or days on the modernized platform. Development teams shift from scarce mainframe specialists to the broad Java developer market. Workloads gain access to AWS managed services for databases (Amazon RDS, Amazon Aurora), messaging (Amazon SQS, Amazon SNS), monitoring (Amazon CloudWatch), and security (AWS IAM, AWS KMS), unlocking capabilities that mainframe architectures cannot deliver. This offering relates to AWS Transform, Amazon S3, Amazon EC2, Amazon ECS, Amazon ECR, Amazon RDS, Amazon Aurora, AWS IAM, and AWS KMS.
Highlights
- AI-Powered Transformation at Scale: AWS Transform automates the most complex phases of mainframe modernization: codebase analysis, business logic extraction, domain decomposition, and COBOL-to-Java refactoring across millions of lines of code. What once required years of manual effort now completes in months, with AI handling the scale and complexity that human teams cannot.
- Reduce Mainframe Total Cost of Ownership: Migrating legacy IBM zOS workloads to AWS eliminates MIPS-based licensing, specialized hardware costs, and dependence on scarce mainframe talent. Organizations redirect IT budgets from maintaining aging infrastructure toward innovation on AWS managed services.
- Modernize Without Disrupting Operations: Perficient's domain-driven delivery model migrates COBOL applications wave by wave, with human-in-the-loop checkpoints ensuring business-critical logic is validated before each production cutover. Each wave is independently testable, reducing the risk that has historically caused mainframe modernization programs to fail.
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