Edge
CLP Edge brings YScope's advanced log compression and analytics to edge devices, with a real-world deployment on over a million electric vehicles (EVs). It enables efficient, real-time log management and analytics directly on vehicles, reducing cloud costs, improving compliance, and supporting new use cases like automated in-vehicle actions.
Getting started
Read the full story of CLP Edge’s deployment and learn how to get started with edge analytics and compression.
Real-World Impact
- Deployed on over 1 million vehicles for more than a year, CLP Edge has significantly reduced upload and cloud costs, extended log retention, and improved compliance.
- Streaming compression has mitigated SSD wear issues, and in-vehicle analytics have enabled faster, more scalable insights.
- The system supports thousands of analytics rules with minimal overhead, and is being expanded with more expressive rules and AI-powered analytics.
Key Features
- Real-time streaming compression (20–25x) before logs are written to disk
- Archive compression (45–55x, up to 1000x for verbose logs) for storage and analytics
- Deploy rules to analyze logs and trigger automated actions directly on the vehicle
- Results processed locally or uploaded as needed
- Compression and analytics run opportunistically during idle periods
- Tunable resource usage to avoid impacting user experience or device lifespan
- Most analytics are performed on-device, minimizing the need to upload raw logs
- Helps meet regulations like GDPR; supports data scrubbing and encryption
- Analyze compressed logs using CLP’s Python, Java, and Rust libraries
- Visualize logs in web-based log viewers and Perfetto traces