Awesome GitHub RepositoriesData Store Requirements

هذا المشروع عبارة عن مورد تعليمي شامل ودليل دراسي يركز على بنية الأنظمة الموزعة وتصميم البنية التحتية للـ backend. يوفر منهجاً منظماً لإتقان مبادئ القابلية للتوسع، والموثوقية، والأداء المطلوبة لتصميم أنظمة برمجية معقدة. يتميز المستودع بتقديم نهج منهجي للتحضير للمقابلات التقنية، حيث يدمج أنماط التصميم، والمقايضات المعمارية، وأدوات التكرار المتباعد لمساعدة المستخدمين على الاحتفاظ بالمفاهيم المعقدة. ويؤكد على التحليل القائم على القيود، حيث يعلم المستخدمين كيفية تقييم المتطلبات المتنافسة مثل زمن الوصول (latency)، والاتساق، والتوافر عند صياغة التصاميم المعمارية. يغطي المحتوى طيفاً واسعاً من قدرات تصميم النظام، بما في ذلك استراتيجيات توسيع قواعد البيانات، وإدارة حركة المرور، وتحسين البنية التحتية. ويفصل تقنيات التوسع الأفقي، والتخزين المؤقت متعدد الطبقات، والتواصل غير المتزامن، واكتشاف الخدمات، مع توفير أطر عمل لإجراء تقديرات الموارد وتخطيط السعة. يتم تنظيم التوثيق كدليل دراسي، مما يوفر مساراً منهجياً عبر أساسيات هندسة الـ backend وتصميم الأنظمة واسعة النطاق.

Infisical is a centralized secrets management platform designed to store, synchronize, and control access to sensitive credentials and configuration data across distributed development, staging, and production environments. It employs client-side encryption to ensure that secrets remain unreadable to the underlying storage infrastructure, while providing a hierarchical permission model to govern both user and machine access. The platform distinguishes itself through dynamic credential provisioning, which generates short-lived access tokens that are automatically revoked after use. It supports

normalizr is a JSON data normalization library and schema-based data transformer. It functions as a state management helper designed to flatten deeply nested JSON structures into a relational format based on predefined schemas. The library transforms complex nested objects into flat entities to prevent data duplication in client-side caches and stores. It organizes API responses into a relational format that mimics a database, facilitating consistent updates and easier retrieval within global state managers. Its core capabilities include relational data modeling and the ability to transform

Cayley is a graph database and query engine designed to store and retrieve interconnected data. It functions as a quad store, persisting information as four-element tuples to maintain complex relationships and semantic linked data. The system features a backend-agnostic storage layer that decouples the graph API from the underlying data store. This allows for the integration of external backends through a modular adapter system, enabling the synchronization of data across different storage engines. The project provides a pattern-matching query engine for extracting specific nodes and relatio

BullMQ is a Redis-backed message queue library and background processor designed for distributed task queueing. It functions as a distributed queue manager and task scheduler, utilizing Redis to manage asynchronous job processing and persistence. The system distinguishes itself through its role as a job workflow orchestrator, enabling the definition of complex parent-child job dependencies and hierarchies for multi-step workflows. It provides sandboxed process execution to isolate heavy workloads and prevent event loop blocking, alongside distributed rate limiting to protect downstream servic

MobX State Tree is a structured, tree-based state management library for JavaScript applications that combines typed model definitions with reactive snapshots and patch-based change tracking. It provides a reactive state container with runtime and compile-time type safety, where application state is defined as a tree of typed models with collocated actions, computed views, and lifecycle hooks for predictable state mutations. The library is built around an action-centric mutation model that encapsulates all state changes within named functions that directly modify the tree, supported by genera

This project is a framework for implementing event sourcing and command query responsibility segregation within containerized microservices. It provides a structured approach to managing business state as a sequence of immutable events, ensuring a reliable audit trail and the ability to reconstruct system state at any point in time. The framework distinguishes itself by enforcing a clear separation between data modification and data retrieval paths. By utilizing event-driven data synchronization, it allows for the asynchronous updating of materialized views and read models, ensuring that quer