Batch Compression Over RabbitMQ Cuts IIoT Payload Size by 90% in Spring Boot

Industrial IoT deployments with thousands of devices can generate hundreds of millions of small telemetry messages daily, creating significant network and storage costs. A key optimization technique involves compressing batches of messages together rather than compressing each message individually before sending over a broker like RabbitMQ. Benchmarks using standard Java gzip tools show that per-message compression actually increases payload size by around 9%, while batching 500 messages before compression reduces total size by nearly 90%. This efficiency gain occurs because compression algorithms rely on recognizing repeated patterns, which only become visible when multiple similar messages are processed together. Batch compression also proved significantly faster in testing, completing in under 1 millisecond compared to nearly 50 milliseconds for 500 individual compression operations.