G.1 · Enterprise Platform & Data Engineering
Distributed Transaction and Backend Systems
Event-driven cores that hold consistency under load
What we build
Transactional cores designed for correctness under concurrency. Includes event-sourced and CQRS architectures, idempotent APIs and exactly-once processing over Kafka and Pulsar, saga and outbox patterns for cross-service consistency, partitioning and sharding chosen from the measured access pattern, back-pressure and load-shedding at every boundary, and multi-region topologies whose consistency and failover semantics are written down before they are needed.
Capabilities
- Event-sourced and CQRS architectures with a replayable log of record
- Idempotent APIs and exactly-once processing over Kafka and Pulsar
- Saga and outbox patterns for consistency across service boundaries
- Partitioning, sharding, and back-pressure chosen from the measured access pattern
- Multi-region topologies with explicit consistency, failover, and recovery semantics
Related services
How it connects
Where it sits in the stack.
This system, and the two it hands off to. None of them can be optimized alone.
Distributed Backend Systems
Transactional cores designed for correctness under concurrency.
Data Platforms & Streaming
Data platforms built for freshness and lineage, not volume alone.
Enterprise Platforms · see serviceReliability Engineering
The measurement and failure discipline that keeps a platform inside its availability target.
Enterprise Platforms · see serviceBring us the whole stack.
Tell us where latency is costing you, from the die to the data center to the control room. An architect replies with a first read of the problem, not a sales deck.