加载中
正在获取最新内容,请稍候...
正在获取最新内容,请稍候...
An open-source project demonstrating a scalable, high-performance, and secure overlay network solution designed for modern distributed systems and hybrid cloud environments.
This project implements a proof-of-concept for a performant, secure, and easy-to-manage overlay network, providing a unified address space and encrypted communication across diverse physical networks or cloud providers.
Traditional network configurations like VPNs, complex routing tables, or firewall rules become unmanageable and insecure in dynamic, distributed, or multi-cloud environments. This project offers a secure, flat network layer over existing infrastructure.
Establishes direct, encrypted connections between individual hosts, bypassing traditional routing complexities.
All network traffic is automatically encrypted end-to-end using strong cryptographic primitives.
Configuration is simplified via a central authority or distributed file, making onboarding new hosts straightforward.
This overlay network solution is ideal for various scenarios requiring secure, simple, and scalable connectivity across different locations or environments.
Connect servers, containers, and services running in different cloud provider VPCs or on-premises data centers as if they were on the same local network.
Simplifies cross-environment communication and management, reducing network complexity.
Provide secure access for remote employees or devices to internal resources without requiring a traditional, centralized VPN concentrator.
Enhances security with end-to-end encryption and simplifies remote connectivity setup.
Establish secure communication channels between geographically dispersed IoT devices and central management platforms.
Provides a secure, scalable, and direct communication method for scattered devices.
You might be interested in these projects
BAML (Boundary AI Markup Language) is an open-source framework that brings structure, testability, and version control to prompt engineering, enabling seamless integration of AI models into production applications across multiple programming languages.
CrewAI is an open-source framework designed for orchestrating sophisticated workflows involving multiple autonomous AI agents. It facilitates collaborative intelligence, allowing agents to work together seamlessly on complex tasks by assigning roles and fostering interaction.
A robust CGo-based SQLite driver for the Go programming language's standard database/sql package. Provides reliable and efficient access to SQLite databases within Go applications.