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Migrating COBOL Batch to Spring Batch Bulk data processing usually performs asynchronous due to the transitional engine capabilities. Batch processing is suitable for optimizing the execution of high-volume repetitive tasks. by Join the DZone community and get the full member experience.Join For Free Bulk data processing usually performs asynchronous due to the transitional engine capabilities. Batch processing is suitable for optimizing the execution of high-volume repetitive tasks. The mainframe batch mainly prevents parallel processing due to the mono thread model, locking I/O to data storage as its design. COBOL prevents concurrent processing, which leads to a higher Total Cost of Ownership (TCO). Practical and cost-optimized architectures are available to modernize the existing COBOL Batch to:

Batch program codebasePersistence dataTotal costBatch microservicesBatch coreBatch programSpring batchBatch domainTime batch microservicesBlu ageMicro focusJava spring batch overSpring bootSpring bathSpring batch microserviceSpring programs