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# Lessons learned after 6.7T events through PostgreSQL queues


- **Event:** Conference India 2026

## Description

Many organizations reach for specialized streaming systems like Apache Kafka for high-throughput event processing. But is it always the best choice? What if you choose PostgreSQL instead. This talk chronicles six years of battle-tested lessons learned while scaling PostgreSQL from a simple queue to a system processing 100,000 events per second, and delivering total 6.7T events. Learn about the specific configuration values, query patterns, and architectural decisions that enabled PostgreSQL to compete with and often outperform dedicated messaging systems, while providing the operational simplicity and transactional guarantees that only PostgreSQL can offer.

## Speaker

### [Mihir Gandhi](https://www.wearedevelopers.com/@mihir-gandhi)

Backend Engineer at RudderStack


## Related talks at this congress

- [How We Cut Our API's p99 Latency from Minutes to Under a Second](https://www.wearedevelopers.com/events/conference-india-2026/sessions/1987-how-we-cut-our-api-s) — Deepak Agrawal
- [We Deleted Our Observability Stack and Rebuilt It with OTEL: 12 Engineers to 4 at 20K+ clusters](https://www.wearedevelopers.com/events/conference-india-2026/sessions/1998-we-deleted-our) — Yash Sharma, Sreeram Venkitesh, Kapil Gautam
- [How 8 GPUs Became 16: Rethinking LLM Inference Through Parallelism, Memory, and Runtime Design](https://www.wearedevelopers.com/events/conference-india-2026/sessions/2003-how-8-gpus-became-16) — Purnima Kumari
- [Building Elastic Cloud Serverless on Kubernetes: Lessons from Operating at Cloud Scale](https://www.wearedevelopers.com/events/conference-india-2026/sessions/2007-building-elastic) — Someshwaran Mohan Kumar

## Watch remotely

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## Links

- [Get tickets](https://www.wearedevelopers.com/conference-india/tickets)