Real-Time Telemetry & Event Ingestion Pipeline
A distributed event-driven ingestion pipeline designed for handling high-volume telemetry payloads per second with sub-second analytical dashboard updates, predictive anomaly alerts, and automated failover.
Identifying the Core Problem
Hardware sensors and industrial devices produce continuous streams of vibration, heat, and power telemetry. Traditional relational databases struggle under sustained event spikes, causing payload drops and delayed anomaly notifications.
How OXELVO Solved It
We engineered an ingestion architecture around Apache Kafka and ClickHouse columnar storage. Lightweight FastAPI gateways publish incoming HTTP/gRPC telemetry to partitioned Kafka topics, while background workers batch-insert records into ClickHouse for sub-second analytical queries.
Key System Features
- Lightweight asynchronous ingestion gateway with token-bucket rate limiting
- Partitioned Kafka message broker preventing payload loss during traffic surges
- Columnar ClickHouse database delivering high data compression and fast aggregation
- Real-time telemetry dashboards and automated alert webhooks to operational teams
- Automated data retention policies archiving aged records to cold storage
Engineering Decisions & Guardrails
This project represents an active technical demonstration and architectural blueprint engineered by OXELVO. We share code blueprints, schemas, and live demonstrations to verify real-world feasibility before client commercialization.
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Connect with our solutions architects to review requirements, data schemas, and sprint estimates.
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