How Python Can Replace Mainframes for High-Volume Transaction Processing

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A veteran mainframe programmer with over 15 years of experience has outlined a structured approach to modernizing legacy mainframe systems using Python. The strategy involves breaking mainframe functions into smaller, independent services and migrating them in phases to avoid disrupting business operations. Historical data must be cleaned and validated before cutover, while real-time transaction data is transferred through secure, controlled processes. The author cautions against running both systems simultaneously for too long, as it risks duplicate processing, higher costs, and data inconsistencies. With proper monitoring, rollback planning, and phased execution, the approach aims to handle high transaction volumes while minimizing operational disruption.

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