This project is a Rack middleware rate limiter and application layer firewall for Ruby web applications. It serves as a security layer to throttle and block HTTP requests based on custom rules, protecting web servers from abusive traffic. The system provides capabilities for IP blocking and the banning of malicious clients. It implements request safelisting to bypass restrictions for trusted users and uses time-windowed rate limiting to control request frequency. The middleware covers traffic management and monitoring, including the ability to track request patterns and instrument traffic ev
Blog.Core is a production-ready backend boilerplate for building enterprise APIs and microservices using ASP.NET Core. It provides a foundational infrastructure for distributed systems, including tools for database-first scaffolding and the implementation of multi-tenant API frameworks. The project distinguishes itself through automated data layer generation, which produces entity models and repository layers directly from database schemas. It implements a centralized identity management system using standard identity server protocols to handle authentication and authorization across multiple
This project is a collection of technical guides and configuration patterns for tuning Nginx server performance, managing traffic flow, and implementing protocol-aware routing. It provides a curated set of parameters and best practices to optimize request handling, memory usage, and CPU efficiency. The project includes a method for sharing a single port between different protocols by inspecting initial packets to route traffic to the correct backend. It also provides configuration patterns for implementing request rate limiting and range request restrictions to mitigate denial of service atta
go-grpc-middleware is a gRPC middleware framework for Go designed to handle cross-cutting concerns, reliability, and observability. It provides a collection of interceptors that can be used to modify inbound and outbound calls to enforce system-wide policies. The framework distinguishes itself through specialized toolkits for service reliability, including automatic retry logic for failed client calls and panic recovery mechanisms that translate runtime crashes into standard error responses. It also features an observability suite for collecting performance metrics and recording request activ