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Lessons from scaling PostgreSQL queues to 100K events

Lessons from scaling PostgreSQL queues to 100K events

RudderStack cranked PostgreSQL up to 100K events/sec as a queuing engine. The secret sauce: tight tuning of job partitioning, smarter indexing, tuned VACUUM timing, and compaction that didn't choke.

Recursive CTEs stood in for loose index scans. Caching cut I/O repeats. They ditched byte slices to sidestep the hex-encoding tax—standardized everything to Go strings instead. Bulk inserts rode in through COPY.

System shift: Ditching Kafka for PostgreSQL isn’t just a clever hack—it’s part of a broader move. Some teams are trading complex pipelines for sturdy, transactional databases that can hold their own.


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The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
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