Nexus Stream
Designed a distributed microservice event pipeline using Redis Streams, FastAPI, Docker Compose, PostgreSQL, and C++ for high-throughput stream ingestion and sub-10ms processing latency.
5,000+ ops/sec
Throughput
Sustained event stream throughput
< 10 ms
End-to-End Latency
Sub-10ms processing at P99
Zero Loss
Fault Recovery
Redis consumer group acknowledgments
Docker Compose
Containerization
One-command reproducible staging cluster
Operational Constraints & Friction
High-volume event ingestion pipelines frequently bottleneck when processing concurrent bursts of sensor or transactional data without losing event ordering.
Architectural Execution
Designed a distributed microservice event pipeline using Redis Streams, FastAPI, Docker Compose, PostgreSQL, and C++ for high-throughput stream ingestion and sub-10ms processing latency.
Nexus Stream — System Architecture
High-Level Topology & Data Flow
High-Throughput Ingestion Clients / Sensor Streams
Client requests, sensors & telemetry
FastAPI Ingestion Gateway (Async I/O)
ACID Persistence & Read/Write separation
Internal Topology & Data Mechanics
An asynchronous FastAPI gateway ingests events into a Redis Stream cluster. C++ and Python consumer worker pods subscribe through Redis Consumer Groups, process transactional state changes, and batch-persist writes into PostgreSQL.
Engineering Obstacles Overcome
Preserving sub-10ms latency while ensuring no duplicate events are committed to PostgreSQL during network partitions.
- ✓Real-time event streaming & fan-out
- ✓Decoupled asynchronous worker nodes
- ✓Multi-container Docker Compose orchestration
- ✓Sub-10ms end-to-end processing latency
- ✓Fault-tolerant consumer group offsets
Project Delivery & Impact
Built a high-performance event pipeline capable of processing thousands of events per second with sub-10ms latency.