shajalahamedcse / loxilb Goto Github PK

loxilb is an open source hyper-scale software load-balancer for cloud-native workloads. It uses eBPF as its core-engine and is based on Golang. It is designed to power on-premise, edge and public-cloud Kubernetes cluster deployments.

• Service type load-balancer for kubernetes
  • L4/NAT stateful loadbalancer
  • NAT44, NAT66, NAT64 with One-ARM, FullNAT, DSR etc
  • Support for TCP, UDP, SCTP (w/ multi-homing), QUIC, FTP, TFTP etc
  • High-availability support with hitless/maglev/cgnat clustering
  • Full compliance for K8s loadbalancer Spec
  • Multi-cluster, in-cluster or ext-cluster deployment support
• Extensive and scalable liveness probes for cloud-native environments
• High-perf replacement for the aging iptables/ipvs
• L7 proxy support - HTTP1.0, 1.1, 2.0 etc
• Telco/5G/6G friendly features
  • GTP tunnels as first class citizens
  • LB support on various interfaces - N2, N4, E2 etc
  • Optimized SRv6 implementation
  • Support for UL-CL with LB, QFI and other utility extensions

• Bespoke GoLang based control plane components
• eBPF based data-path forwarding
  • Home-grown stack with advanced features like Conntrack, QoS etc
  • Complete kernel networking bypass
  • Highly scalable with low-latency & high throughput
• GoLang powered easy to use APIs/Interfaces infra
• Seamless integration with goBGP based routing stack

• Performs much better compared to its competitors across various architectures

  • Single-Node Performance
  • Multi-Node Performance
  • Performance on ARM
  • Short Demo on Performance

• ebpf makes it flexible and future-proof (kernel version agnostic and in future OS agnostic 🚧)

• Advanced quality of service for workloads (per LB, per end-point or per client)

• Includes powerful NG stateful firewalling and IPSEC/Wireguardsupport

• Optimized/Custom end-point liveness checks at scale

• Support for 5G/Edge cloud-native workloads

• Works with any Kubernetes distribution/CNI - k8s/k3s/k0s/kind/OpenShift + Calico/Flannel/Cilium/Weave/Multus etc

• Extensive support for SCTP workloads (with multi-homing) on k8s

• Dual stack with NAT66, NAT64 support for k8s

• k8s multi-cluster support 🚧

• Runs in any cloud (public cloud/on-prem) or standalone environments

  (*🚧: Work in progress)