Awesome GitHub RepositoriesCluster Request Routing

StatsD is a network-based metrics daemon and aggregator that collects application performance data, such as counters and timers, for periodic delivery to backend services. It functions as system monitoring middleware, receiving telemetry via UDP to minimize performance overhead on monitored services. The system acts as a distributed metrics router, employing consistent hashing to distribute data points across clusters and ensure aggregation accuracy. It includes cluster health monitoring to track node availability and automatically recalculate routing paths when services go offline. The proj

ioredis is a performance-focused Redis client for Node.js applications. It provides a comprehensive interface for interacting with Redis servers, including specialized clients for sharded clusters and Sentinel-based high availability environments. The project distinguishes itself through advanced networking and execution capabilities, such as automatic event-loop pipelining to reduce overhead and a system for routing read-write traffic between primary and replica nodes. It also features a dedicated Lua scripting interface that allows server-side scripts to be registered as custom client comma

phpredis is a C-based native extension that bridges PHP applications with Redis servers for high-performance data storage and retrieval. It serves as an interface for manipulating strings, hashes, lists, sets, and sorted sets while providing a direct path for executing Redis commands and server-side scripts. The extension provides comprehensive support for distributed environments and high availability. It interfaces with Redis Cluster to distribute data across multiple nodes using hash slots and manages Redis Sentinel for service discovery and automatic failover. It also enables shared state

Redis is a high-performance in-memory key-value store that functions as a distributed cache, message broker, and NoSQL database. It provides sub-millisecond read and write access to data stored in RAM and can operate as a vector database for indexing high-dimensional embeddings. The system supports a wide range of data storage and synchronization primitives, including the management of strings, hashes, lists, sets, and JSON documents. It enables real-time data operations through atomic transactions, hybrid persistence using snapshots and append-only logs, and high-availability configurations

OceanBase is a distributed SQL database designed for high availability and strong consistency across multiple nodes and regions. It functions as a hybrid transactional and analytical processing engine, allowing real-time analytics and transactions to execute on a single data copy. The system also serves as a vector database engine for indexing and querying vector data to power semantic search and recommendation systems. The platform features native compatibility layers for MySQL and Oracle, enabling the migration of legacy workloads without rewriting SQL code. It utilizes a Paxos-based distri

h2o-3 is a distributed machine learning platform and automated machine learning framework designed for training and deploying predictive models using distributed in-memory computing. It functions as a deep learning framework and a distributed model scoring engine, capable of operating as a Kubernetes ML cluster to process large datasets in parallel. The platform distinguishes itself through automated machine learning capabilities that automatically select the best algorithms and hyperparameters to optimize model performance. It provides specialized deep learning toolkits for tasks including i

FastStream is an asynchronous Python framework designed for building event-driven microservices. It provides a unified abstraction layer for interacting with various message brokers, enabling developers to manage event production and consumption through a consistent interface while maintaining access to native provider-specific features. The framework centers on a decorator-based routing model that binds application logic directly to broker topics, supported by a built-in dependency injection container that resolves resources at runtime. The framework distinguishes itself through its deep int

Kvrocks is a distributed key-value store and Redis-compatible NoSQL database. It utilizes a RocksDB storage engine to provide disk-based persistence, allowing for high-capacity data storage with reduced memory costs compared to in-memory systems. The system functions as a vector database and full-text search engine, supporting nearest-neighbor searches on vector embeddings and complex document queries via text matching. It employs a proxyless cluster architecture with slot-based routing to distribute data and scale capacity across multiple nodes. The platform covers a wide range of data mana

Esta es una biblioteca cliente de Ruby y driver de protocolo utilizado para integrar aplicaciones Ruby con bases de datos Redis. Funciona como una capa de comunicación que gestiona versiones de protocolo y proporciona una interfaz consistente para ejecutar operaciones de base de datos. La biblioteca soporta una variedad de topologías de despliegue, incluyendo instancias independientes, Redis Sentinel para descubrimiento de maestros de alta disponibilidad y conmutación por error, y Redis Cluster con enrutamiento de solicitudes consciente de slots y descubrimiento de nodos. También proporciona sharding del lado del cliente utilizando hashing consistente para distribuir datos a través de servidores independientes. Las capacidades amplias incluyen gestión de transacciones atómicas y scripting en Lua para transformaciones del lado del servidor, así como soporte para tipos de datos especializados como coordenadas geoespaciales y streams. El rendimiento se optimiza mediante el pipelining de comandos y extensiones de análisis nativas, mientras que la seguridad se maneja mediante cifrado SSL/TLS y autenticación mutua por certificados. El cliente incluye herramientas para orquestar topologías de bases de datos independientes y en clúster utilizando contenedores para pruebas de integración automatizadas.