Data Ingestion
Wearable IoT APIs
Modern sports rely on edge devices: GPS vests, smart boots, and HR monitors. We build the high-throughput APIs necessary to ingest, validate, and store thousands of telemetry points per second in real-time.
Architectural Features
- High-Frequency Ingestion: Go or Rust-based microservices capable of parsing 10Hz to 100Hz telemetry data streams concurrently from multiple devices without blocking.
- Event Streaming: Kafka or RabbitMQ message brokers buffering incoming telemetry to ensure zero data loss during network interruptions on the pitch.
- Bluetooth LE Middleware: Native iOS/Android modules that interface securely with proprietary hardware, parsing raw hex strings into JSON objects.
Recommended Tech Stack
Ingestion Layer
Golang microservices for low-latency, highly concurrent HTTP/UDP ingestion of raw hardware data.
Message Broker
Apache Kafka. Crucial for decoupling the firehose of incoming GPS coordinates from the database writing process.
Time-Series Database
InfluxDB or TimescaleDB, specialized for storing chronologically indexed data points like velocity and acceleration metrics.