Flow collection method and collection system based on eBPF
By combining eBPF and VXLAN virtual appliances in a Kubernetes environment, a lightweight traffic collection method was implemented, which solved the problem of traffic collection under high concurrency and high change frequency, met the needs of traffic analysis and security detection, and supported the expansion of the collection end.
Patent Information
- Application Number
- CN202610287829.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-10
- Publication Date
- 2026-06-02
AI Technical Summary
In a Kubernetes environment, existing traffic collection methods suffer from low performance, high resource consumption, high policy linkage complexity, and difficult operation and maintenance in high-concurrency and high-change-frequency scenarios, making it difficult to efficiently achieve traffic guidance and analysis under cloud virtual network conditions.
The traffic collection method based on eBPF is adopted. Traffic identification and filtering are performed in kernel space through mapping table to generate tunnel metadata. The encapsulation and transmission are completed in kernel space using VXLAN virtual device, avoiding the resource overhead caused by user space transfer and copying, and realizing lightweight traffic encapsulation and forwarding.
It reduces the complexity of BPF, lowers CPU and memory overhead, avoids bandwidth pressure on cloud virtual networks, supports traffic analysis and security detection needs in Kubernetes environments, and supports horizontal scaling of the data collection end.