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Mechanisms for storing frequently accessed data in memory.
Explore 14 awesome GitHub repositories matching data & databases · Application Caching. Refine with filters or upvote what's useful.
Acest proiect este o resursă educațională cuprinzătoare și un ghid de studiu axat pe arhitectura sistemelor distribuite și designul infrastructurii backend. Oferă un curriculum structurat pentru stăpânirea principiilor de scalabilitate, fiabilitate și performanță necesare pentru a proiecta sisteme software complexe. Repository-ul se distinge prin oferirea unei abordări metodice pentru pregătirea interviurilor tehnice, încorporând tipare de design, compromisuri arhitecturale și instrumente de repetiție spațiată pentru a ajuta utilizatorii să rețină concepte complexe. Pune accent pe analiza bazată pe constrângeri, învățând utilizatorii cum să evalueze cerințele concurente precum latența, consistența și disponibilitatea atunci când schițează design-uri arhitecturale. Conținutul acoperă un spectru larg de capabilități de design de sistem, inclusiv strategii pentru scalarea bazelor de date, gestionarea traficului și optimizarea infrastructurii. Detaliază tehnici pentru scalarea orizontală, caching-ul pe mai multe niveluri, comunicarea asincronă și descoperirea serviciilor, oferind în același timp framework-uri pentru efectuarea estimărilor de resurse și planificarea capacității. Documentația este organizată ca un ghid de studiu, oferind o cale sistematică prin fundamentele ingineriei backend și designul sistemelor la scară largă.
Details mechanisms for storing frequently accessed data in memory to reduce latency and backend processing requirements.
Acest proiect este un director cuprinzător, curatoriat de comunitate, care organizează un peisaj vast de biblioteci, framework-uri și instrumente software Python. Servește drept bază de cunoștințe centralizată concepută pentru a facilita navigarea în ecosistem și a accelera descoperirea de către dezvoltatori pe parcursul întregului ciclu de viață al dezvoltării software. Directorul se distinge prin furnizarea unui index structurat de resurse categorisite pe domeniu tehnic, variind de la utilitare fundamentale de dezvoltare la domenii de inginerie specializate. Acoperă capabilități de nivel înalt, inclusiv inteligență artificială, știința datelor, dezvoltare web și gestionarea infrastructurii, permițând dezvoltatorilor să identifice soluții verificate pentru provocări tehnice specifice. Proiectul cuprinde o suprafață largă de capabilități, inclusiv instrumente pentru gestionarea dependențelor, analiza statică a codului și testarea automatizată. De asemenea, cataloghează resurse pentru stocarea persistentă a datelor, orchestrarea infrastructurii cloud și dezvoltarea interfețelor, oferind o referință unificată pentru construirea și menținerea sistemelor software complexe.
Boost system performance by memoizing frequently accessed data within memory-efficient storage structures.
This project is a comprehensive reference collection of practical implementation examples and patterns for building applications with Spring Boot. It serves as a Java web application template and a showcase for developing functional web services featuring REST endpoints, template engines, and global exception handling. The repository distinguishes itself by providing detailed demonstrations of enterprise-grade features, including distributed locking, task scheduling, and asynchronous message exchange using brokers like RabbitMQ. It also includes reference implementations for automated API doc
Implements in-memory and distributed caching to store frequently accessed data and reduce database load.
Hutool is a standard utility library for Java application development designed to simplify common programming tasks and reduce boilerplate code. It provides a comprehensive collection of reusable helper classes and static utilities to streamline development across the Java ecosystem. The project implements a wide array of specialized toolkits, including systems for cryptography and security, network communication via HTTP and JSON clients, and the processing of office documents and file system IO. It also features a concurrency and scheduling framework for managing asynchronous tasks and recu
Implements an in-memory storage system for frequently accessed information to reduce retrieval latency.
This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive interface for managing remote data stores, enabling developers to execute standard database commands, handle complex data structures, and perform asynchronous operations within Go applications. The library distinguishes itself through its support for advanced Redis capabilities, including connection pooling, pipelining, and transactional integrity. It provides specialized primitives for managing distributed clusters, including automated topology updates and request routing to sha
Provides high-performance in-memory caching to reduce latency and offload requests from primary data sources.
This project serves as a comprehensive, community-driven directory for the .NET ecosystem. It functions as a curated index of high-quality libraries, frameworks, and tools designed to assist developers in identifying recommended solutions for a wide range of project requirements and software engineering tasks. The repository distinguishes itself by providing a categorized catalogue that simplifies the discovery of resources across the entire .NET development lifecycle. By maintaining a standardized collection of community-contributed utilities, it helps developers navigate the ecosystem to fi
Provides mechanisms for storing frequently accessed data in memory to improve performance.
Wagtail is an open-source content management system built on the Django web framework. It provides a structured, tree-based approach to content modeling, allowing developers to define custom page types and reusable content components that are managed through a highly customizable administrative interface. The platform distinguishes itself through its flexible, block-based content composition system, which enables editors to assemble complex page layouts dynamically. It also offers robust support for multi-site and multi-lingual environments, allowing organizations to manage distinct websites
Stores frequently accessed content or image renditions in memory to reduce database load and improve response times.
Memcached is a high-performance, distributed, in-memory key-value storage and request routing engine. It functions as a volatile data store designed to accelerate dynamic applications by caching objects in RAM, thereby reducing backend database load and providing sub-millisecond response times. The system utilizes a specialized architecture that organizes memory into fixed-size slabs to minimize fragmentation and maximize throughput for high-concurrency workloads. The project distinguishes itself through a multi-threaded, lock-friendly design that scales across CPU cores and supports complex
Stores frequently accessed data in memory to reduce backend database load and improve application response times.
Formbricks is an open-source survey and feedback platform designed to help teams capture and analyze user insights through targeted, in-app, and website-based interactions. It functions as a comprehensive customer experience analytics system that allows organizations to maintain full control over their data, user attributes, and survey workflows. The platform distinguishes itself through its event-driven architecture, which enables precise behavioral targeting by triggering surveys based on specific user actions or application events. It supports deep integration with external ecosystems by a
Stores frequently accessed information in memory to reduce database load and accelerate response times.
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
Provides high-performance in-memory storage for frequently accessed application data to reduce primary source load.
RedisInsight is a graphical user interface and management tool for browsing, analyzing, and administering Redis databases. It provides a visual environment for exploring key-value data structures, managing database instances, and performing data analysis across different operating systems and deployments. The tool distinguishes itself by providing dedicated visual managers for complex operations, including a vector database manager for configuring embeddings and similarity searches, a query workbench for executing raw commands and Lua scripts, and a performance monitoring dashboard for tracki
Supports high-speed in-memory data caching to provide sub-millisecond access for applications and AI agents.
This PHP caching library provides a key-value storage abstraction designed to reduce application computation time by storing and retrieving frequently accessed data. It implements the PSR-6 standard for caching interfaces to ensure interoperability between different libraries. The project includes a legacy cache adapter that wraps modern standardized cache pools. This allows systems in transition to maintain compatibility by converting between legacy caching implementations and unified interfaces. The library covers a range of storage capabilities, including a filesystem cache store for pers
Provides a comprehensive system for storing frequently accessed application data in memory or on disk.
node-lru-cache este un magazin cheie-valoare pentru Node.js care implementează un cache limitat de memorie. Previne epuizarea memoriei prin limitarea numărului total de elemente sau a dimensiunii totale în octeți, evacuând automat elementele cel mai puțin recent utilizate (least-recently-used) pentru a menține aceste limite. Proiectul oferă tipare de caching specializate, inclusiv durate time-to-live pentru a asigura prospețimea datelor și un mecanism stale-while-revalidate care servește conținut expirat în timp ce preia asincron actualizările în fundal. Include, de asemenea, instrumente de diagnosticare pentru monitorizarea hit-urilor, miss-urilor și metricilor de evacuare a cache-ului prin obiecte de stare operațională și canale de diagnosticare. Implementarea acoperă capabilități mai largi de gestionare a memoriei și recuperare a datelor, cum ar fi preluarea automată a datelor pentru intrările lipsă, curățarea manuală a elementelor învechite și execuția funcțiilor de curățare atunci când elementele expiră pentru a elibera resurse externe.
Stores frequently accessed application data in memory to reduce latency and database load.
Lumen is a PHP micro-framework designed for building lightweight web services and RESTful API backends. It provides a specialized toolset for handling incoming HTTP requests and routing them to application logic with minimal overhead. The framework facilitates the development of distributed systems by offering a small footprint and high performance. It includes a service container for dependency injection, a middleware pipeline for request filtering, and regex-based route dispatching to manage application traffic. Developers can utilize a unified database abstraction layer to standardize int
Stores frequently accessed information in memory to reduce redundant computation and improve responsiveness.