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Legacy Modernization
The Infosys Automotive practice offers legacy modernization services across mainframe assets, application interfaces, and business processes. We reengineer legacy systems to simplify the application landscape / enhance functionality, and migrate the code base to next-generation architecture / technologies / platforms.
Modernization empowers auto makers to capitalize on data science, cloud computing, DevOps, and edge analytics across functions – core manufacturing, testing, distribution, sales, hiring, training, finance, maintenance, and repair. Moreover, it enables manufacturers to realize on-demand transportation services, implement preventive maintenance, and deliver over-the-air software updates for vehicle engine / components.
Our cloud-first modernization toolkit incorporates a proprietary assessment framework to capture know-how of existing legacy systems, understand the criticality of applications, and define the target state. The analysis helps us rationalize code and applications. We use automated tools to extract business logic / rules from legacy software. Our knowledge tools and accelerators reduce project costs and timelines, de-risk modernization programs, and ensure business continuity.
Our team has rich experience across Amazon Web Services (AWS), Google and Microsoft Azure cloud platforms as well as communication standards and protocols. Notably, strategic partnerships with leading cloud infrastructure providers enable us to offer diverse ‘as-a-service’ cloud models.
Infosys offers several optimization solutions for residual legacy mainframe applications, including batch, database, storage, and inventory optimization. Our modular modernization strategy maximizes existing IT investment and leverages commercial-off-the-shelf products for standardized capabilities. Significantly, we integrate traditional software development and infrastructure management processes with Agile, Scrum and DevOps practices and tools. Our Application Programming Interfaces (API) enablement process for enterprise platforms and interfaces facilitates enhancement of capabilities with developers and partners.
White paper: Interdisciplinary collaboration accelerates product enhancement
A structured knowledge-based engineering methodology distils experiential knowledge and enables concurrent development.
Case Study
White Paper
Case Study
White Paper