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Add the broker-comparison module

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Kafka, RabbitMQ and Pulsar measured side by side on ordering, replay and
consumer scaling by driving the three client libraries directly, plus an
operational-footprint measurement of each broker's own distribution.

Nine tests, three brokers started without Docker, and every number in the
documentation regenerated by scripts/run-all.sh.
This commit is contained in:
Ankur Mhatre
2026-09-01 23:27:08 +05:30
parent f4b0112e2c
commit e1f8aa7402
30 changed files with 1835 additions and 7 deletions
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broker-comparison/docs/output/kafka-consumer-scaling.txt Normal file
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== Kafka: partitions are the ceiling on consumer parallelism ==
topic 'orders-scaling', 3 partitions, 5 consumers in one group
consumer-1 -> partitions [0]
consumer-2 -> partitions [1]
consumer-3 -> partitions [2]
consumer-4 -> no partitions (idle)
consumer-5 -> no partitions (idle)
consumers with no partitions: 2
A partition is assigned to at most one consumer in a group, so the number
of partitions is a hard ceiling on consumer parallelism. Adding consumers
beyond it adds idle processes, not throughput.