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Joshua Oluikpe explains a practical design for processing Kafka messages in strict order within each session while allowing independent sessions to run in parallel. The design relies on consistent hashing, one Go worker per session, retries within the same path, and contiguous commit-point management to prevent message loss after a crash.
Cloudflare reduced memory consumption in its Pingora Backend Router service by more than 100 terabytes globally by shrinking the representation of the consistent hashing structure and reducing the number of hashes, with no noticeable impact on request distribution accuracy. The experience demonstrates how statistical analysis and data structure design can achieve major savings in large-scale infrastructure.