Search Results for "model driven"

tau is the core runtime and orchestration engine of the Taubyte platform, an event-driven, distributed computing framework for building and running decentralized applications. tau handles the dynamic deployment of code, services, and data across edge and cloud environments based on real-time events. It abstracts infrastructure and simplifies application delivery by combining GitOps principles with a secure, multi-tenant execution model. tau enables seamless scalability, event-based routing, and on-demand execution without managing underlying servers.

NetBird is an open-source solution that builds a WireGuard®-based overlay network enabling seamless, encrypted peer-to-peer connectivity without the complexity of firewall rules, port forwarding, or centralized VPN gateways. It integrates access control features such as SSO and MFA for secure, policy-driven networking. Every machine in the network runs NetBird Agent (or Client) that manages WireGuard. Every agent connects to Management Service that holds network state, manages peer IPs, and...

...It is designed for developers who need to build interoperable clients, servers, proxies, gateways, or custom protocol components rather than using a high-level web framework. Beast follows Boost.Asio’s asynchronous model, so it fits naturally into event-driven C++ networking applications. Its algorithms are role-agnostic, meaning the same core abstractions can be used to build client-side and server-side systems. The library provides protocol vocabulary types, parsers, serializers, examples, and reusable patterns for robust network programming. It is especially useful for C++ developers who want fine-grained control over HTTP and WebSocket behavior while staying within the Boost ecosystem.

The OWASP ModSecurity Core Rule Set (CRS) is a curated, generic Web Application Firewall rule set that detects and blocks common attack categories across most web apps. It focuses on broad protection—SQL injection, cross-site scripting, local/remote file inclusion, command injection, and protocol violations—without requiring app-specific knowledge. Rules are organized into paranoia levels so operators can tune detection aggressiveness and balance false positives against coverage. An...