Process Kafka messages in parallel #1512
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What's new?
This PR adds a worker pool to each message batcher, allowing all message processing to happen in parallel across multiple workers. The resulting messages are still submitted as a batch in the order they were initially read in. As a result, we can now scale our message processing up considerably by increasing the number of vCPUs per container instance. Even without changing the number of vCPUs, we'll likely see something like a 5x increase in processing throughput.