environments. The highly vola�le life cycle of containers causes these approaches to struggle to scale side by side with the applica�on as load balancing tables and access control lists carrying hundreds of thousands implemented using BPF using efficient hashtables allowing for almost unlimited scale and supports direct server return (DSR) if the loadbalancing opera�on is not performed on the source host. Note: load balancing find a special place in our hearts, we strive to provide be�er tooling for troubleshoo�ng. This includes tooling to provide: Event monitoring with metadata: When a packet is dropped, the tool doesn’t

environments. The highly volatile life cycle of containers causes these approaches to struggle to scale side by side with the application as load balancing tables and access control lists carrying hundreds of thousands implemented using BPF using efficient hashtables allowing for almost unlimited scale and supports direct server return (DSR) if the loadbalancing operation is not performed on the source host. Note: load balancing find a special place in our hearts, we strive to provide better tooling for troubleshooting. This includes tooling to provide: Event monitoring with metadata: When a packet is dropped, the tool doesn’t

environments. The highly volatile life cycle of containers causes these approaches to struggle to scale side by side with the application as load balancing tables and access control lists carrying hundreds of thousands implemented using BPF using efficient hashtables allowing for almost unlimited scale and supports direct server return (DSR) if the loadbalancing operation is not performed on the source host. Note: load balancing find a special place in our hearts, we strive to provide better tooling for troubleshooting. This includes tooling to provide: Event monitoring with metadata: When a packet is dropped, the tool doesn’t

Golang Package Compatibility Guarantees API Reference Hubble internals Hubble Architecture Hubble server Hubble Relay Reference Command Cheatsheet Command utilities: Command examples: Kubernetes examples: environments. The highly volatile life cycle of containers causes these approaches to struggle to scale side by side with the application as load balancing tables and access control lists carrying hundreds of thousands implemented using BPF using efficient hashtables allowing for almost unlimited scale and supports direct server return (DSR) if the loadbalancing operation is not performed on the source host. Note: load balancing

Golang Package Compatibility Guarantees API Reference Hubble internals Hubble Architecture Hubble server Hubble Relay Reference Command Cheatsheet Command utilities: Command examples: Kubernetes examples: environments. The highly volatile life cycle of containers causes these approaches to struggle to scale side by side with the application as load balancing tables and access control lists carrying hundreds of thousands optimized for maximum performance, can be attached to XDP (eXpress Data Path), and supports direct server return (DSR) as well as Maglev consistent hashing if the load balancing operation is not performed

environments. The highly volatile life cycle of containers causes these approaches to struggle to scale side by side with the application as load balancing tables and access control lists carrying hundreds of thousands optimized for maximum performance, can be attached to XDP (eXpress Data Path), and supports direct server return (DSR) as well as Maglev consistent hashing if the load balancing operation is not performed find a special place in our hearts, we strive to provide better tooling for troubleshooting. This includes tooling to provide: Event monitoring with metadata: When a packet is dropped, the tool doesn’t

environments. The highly volatile life cycle of containers causes these approaches to struggle to scale side by side with the application as load balancing tables and access control lists carrying hundreds of thousands optimized for maximum performance, can be attached to XDP (eXpress Data Path), and supports direct server return (DSR) as well as Maglev consistent hashing if the load balancing operation is not performed find a special place in our hearts, we strive to provide better tooling for troubleshooting. This includes tooling to provide: Event monitoring with metadata: When a packet is dropped, the tool doesn’t

nodePort 访问 传统的 nodePort 转发，伴随着 SNAT的发生。而 Cilium 为 nodePort 提供了 native 和 IPIP 等方式的 DSR （direct server return）实现，有效减 少了网络转发的跳数，极大提升了 nodePort的转发性能，降低访问延时。 相关测试表明： • kube proxy iptables模式下，请求完 成时间 1.6ms