“The classic one is messages on a Kafka queue, let me scale out. Here's a number of consumers listening on to that message queue, scaling out and might go from one to two to three to four to five”

The Data Stack Show · Re-Air: What Every Developer Needs to Know About Microservices with Mark Fussell, Founder & CEO at Diagrid

Play from 31:40
31:40

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What was described

Implemented an auto-scaling pattern that monitors a Kafka queue, and when the queue size crosses a threshold, spins up additional consumer instances, scaling from 1 up to 5 (or more) and scaling down when load drops

1 to 5 consumers

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