A payment and order platform sustaining 10,000 transactions per second

Event-driven payment infrastructure on Java and Kafka, holding sub-50ms p99 latency under sustained load.

  • 10,000/s transactions sustained
  • <50ms p99 latency
  • 85% less database read load

We do not publish client names

The problem

The platform needed payment and order APIs that stayed correct under heavy concurrent writes, integrated third-party payment providers, and handled card data to PCI-aligned standards, without latency degrading as volume grew.

What we built

Event-driven processing on Kafka: producers stream payment and order events with partitioning for parallel consumption, and consumers run a matching engine with price-time priority. Idempotency keys on every write. PostgreSQL with partitioning, composite indexes and optimistic locking for ACID correctness under concurrent payment writes. Redis caching using Sorted Sets and Lua scripts. OAuth2 and JWT throughout, with third-party provider integrations via API Gateway and Lambda.

The result

The system sustains 10,000 transactions per second at under 50ms p99. Redis caching cut PostgreSQL read load by 85%. Six months in production with zero critical bugs. Terraform, Jenkins and GitHub Actions drive automated builds, container-based integration tests and static analysis quality gates.

More work

Tell us what you are trying to build

Describe the system and the constraint you have hit. You will get a technical reply, not a sales sequence.