MuleSoft Batch Processing: High-Volume Streaming Architecture

Abstract

MuleSoft Batch Processing with streaming capabilities provides enterprise-grade handling of high-volume data integration workloads. This journal examines batch processing architecture, streaming patterns, performance optimization, PEGA integration, and deployment strategies for organizations managing millions of records. MuleSoft 4 enables efficient processing through source-level streaming, intelligent record orchestration, and sophisticated error handling without memory exhaustion[1]. The document presents architectural patterns, implementation best practices, and real-world performance metrics essential for production-grade batch systems.