MuleSoft Interview Question: Process 10GB Without OutOfMemory Error

🚀 MuleSoft Interview Question Explained Q: How would you design a flow to process 10 GB of data without an OOM (Out Of Memory) error? In this video, I explain the exact production-grade approach I use in Mule 4 to process massive payloads efficiently using streaming, chunking, batch processing, and DataWeave optimization. 🔥 Topics Covered: • Streaming from File, SFTP, S3, HTTP, and DB sources • Repeatable File Store Streams • DataWeave deferred/streaming mode • Streaming-friendly transformations • Batch Processing vs For-Each • Avoiding memory-heavy operations • Fetch size, buffer size, block size & concurrency tuning 💡 Key Principle: Never load the entire payload into memory. Stream it end-to-end and process records — not the whole file. This is one of the most common MuleSoft architect/interview questions and also a critical real-world integration pattern for large-scale enterprise systems. #MuleSoft #Mule4 #Integration #Streaming #BatchProcessing #DataWeave #CloudHub #OOM #SystemDesign #MuleSoftInterview