Kafka and Spark Structured Streaming in Enterprise: The Patterns That Hold Up Under Pressure

I’ve been running Kafka and Spark Structured Streaming together in production for about five years. Not in demo environments or proof-of-concept projects. In systems processing insurance claims, manufacturing telemetry, and financial transaction data, with SLAs and compliance requirements, and people who call you at 2 AM when things break.