DeepFlow - Achieve Observability Instantly

DeepFlow is an observability product independently developed by Spruce Network. It is specially designed to guarantee the continuity of the enterprise's core business. Facing high-reliability industries such as finance, telecommunications, and electricity, DeepFlow has been running stably on 500,000 servers, protecting the critical IT systems of hundreds of China's top 500 companies. Based on eBPF, DeepFlow enables zero-code (Zero Code) collection of observation signals such as application performance indicators, distributed tracking, and continuous performance analysis, and combines smart labeling (SmartEncoding) technology to achieve full stack (Full Stack) correlation and efficient access of all observed signals. Using DeepFlow, cloud-native applications can automatically have deep observability, thereby eliminating the heavy burden of continuous experimentation on developers and providing DevOps/SRE teams with monitoring and diagnostic capabilities from code to infrastructure. Enterprise IT operation and maintenance have long been plagued by three major problems: data silos are incomplete, fault location is dependent on human guessing, and 7*24 inspection manpower is overwhelmed. DeepFlow's integrated observability platform natively correlates metrics, tracking, logs, and network data, and AI agents automatically complete root cause analysis, reducing MTTR from a few hours to less than 10 minutes, improving fault inspection efficiency by 70%, and reducing infrastructure costs by up to 50%. If the physical world requires cameras to see every corner, then in a digital world composed of tens of millions of microservices, DeepFlow is the pair of electronic eyes that never tire. It doesn't rely on artificial burying points, but rather quietly senses every network handshake, every SQL call, and every millisecond response delay at the operating system kernel layer — transforming an otherwise invisible digital context into definitive power for enterprise decisions.