HTTP API Gateway

Service Discovery and Governance Platform for Microservice and Distributed Architecture

Computational framework for reinforcement learning in traffic control

🐳 🚦 Docker Traffic Control - network rate limiting, emulating delays, losses, duplicates, corrupts and reorders of network packets using only container labels or a command-line interface.

traffic control in pure go - it allows to read and alter queues, filters and classes

AppActive: A middleware dedicate to building multi-site active/active application architectures（阿里巴巴开源的一款标准、通用且功能强大的，致力于构建应用多活架构的开源中间件）

Test your application on Kubernetes in a brand new simple way⚡ 轻量高效的微服务本地联调测试工具

NetLimiter-like bandwidth limiting and QoS for Linux

A lightweight Python-based Web-GUI for Linux traffic control (tc) to set, view and delete traffic shaping rules.

Lightweight Java SDK used as Proxyless Service Governance

Lightweight Go SDK used as Proxyless Service Governance

Pseudo-driver for the intermediate queue device.

Traffic Lights Control with Deep Learning

An EBPF based IPv4/IPv6 firewall with integrations for OpenZiti Zero-Trust Framework edge-routers and tunnellers

Adaptive real-time traffic light signal control system using Deep Multi-Agent Reinforcement Learning

Convert network filtering rules from various formats into BPF programs

CortexBrain is an ambitious open-source project designed to build an intelligent, lightweight, and highly efficient monitoring platform for distributed cloud and hybrid (cloud–edge) workflows

We developed a system that leverages on YOLO Machine Learning Model for managing the traffic flow based on the vehicle density.

texporter is a lightweight, high-performance eBPF-based network traffic exporter for Prometheus.

Develop agent-based traffic management system by model-free reinforcement learning