CLP provides an open‑source platform for log archive storage, search, and analytics that compresses logs losslessly at ratios up to 169×, allowing direct queries on the compressed data. The system runs on edge devices and cloud infrastructure, offering schema‑free ingestion, real‑time rule‑based analysis, and a web interface for scalable log exploration. Major users such as Uber, Walmart, and Meta leverage CLP to reduce storage costs and avoid SSD wear while maintaining full log fidelity.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises generate massive volumes of log data that must be stored, indexed, and queried for debugging, compliance, and operational monitoring. Traditional log management solutions require decompression for search, rely on predefined schemas, and incur high storage costs and SSD wear, especially on edge devices.
Solution
CLP offers an open‑source platform that compresses log streams losslessly up to 169× while preserving the ability to search and run rule‑based analytics directly on the compressed data. The system runs on edge hardware and in cloud environments, eliminating the need for schema definition and reducing storage footprints and SSD wear. Real‑time ingestion and analytics enable engineers to retain complete log histories without the latency of decompression, supporting both on‑device debugging and centralized monitoring. An intuitive interface provides fast query results and visual exploration of compressed logs, making the platform suitable for large‑scale deployments.
Target Audience
Primary users are DevOps, SRE, and data‑engineering teams that manage high‑volume log data in cloud infrastructures, edge devices, or large fleets of vehicles, particularly within enterprises requiring cost‑effective storage and rapid troubleshooting.
Features
- Lossless compression achieving up to 169× reduction, outperforming traditional solutions
- Direct search and query execution on compressed logs without decompression
- Schema‑free ingestion pipeline that automatically indexes incoming log streams
- Real‑time, rule‑based analytics capable of running on edge devices and cloud clusters
- Lightweight footprint designed to minimize SSD wear and cloud storage costs
- Open‑source distribution with community support and extensibility for custom analytics