Our Services
Specialized backend engineering solutions for high-performance, scalable systems
Go/Rust Backends
We build high-performance microservices using Go and Rust, delivering maximum throughput with minimal resource consumption. Our services handle millions of requests per second with sub-millisecond latency.
- RESTful and gRPC API development
- Concurrent processing with goroutines and async/await
- Memory-safe systems with zero-cost abstractions
- Containerized deployments with Docker and Kubernetes
- Comprehensive testing and observability
Kafka Stream Processing
Event-driven architectures with Apache Kafka for real-time data processing. We design systems that handle millions of events per second with guaranteed delivery and exactly-once semantics.
- Event sourcing and CQRS patterns
- Stream processing with Kafka Streams and ksqlDB
- Schema registry and Avro/Protobuf serialization
- Dead letter queues and error handling strategies
- Multi-datacenter replication and disaster recovery
PostgreSQL Sharding
Distributed database architectures with PostgreSQL sharding for horizontal scalability. We design systems that scale to billions of rows while maintaining ACID compliance and query performance.
- Horizontal and vertical partitioning strategies
- Citus and pg_shard for distributed PostgreSQL
- Consistent hashing and range-based sharding
- Cross-shard queries and distributed transactions
- Automated rebalancing and capacity planning
High-Throughput API Gateways
We design and implement API gateways that handle millions of requests per second with intelligent routing, rate limiting, and comprehensive security.
Rate Limiting
Token bucket and sliding window algorithms with distributed state management using Redis.
Authentication
JWT validation, OAuth2 flows, and API key management with zero-trust security models.
Load Balancing
Round-robin, least connections, and consistent hashing with health checks and circuit breakers.
Request Routing
Path-based, header-based, and canary deployments with A/B testing capabilities.
Caching
Multi-layer caching with CDN, edge, and application-level caches for optimal performance.
Monitoring
Real-time metrics, distributed tracing, and alerting with Prometheus, Grafana, and Jaeger.