16 repositorios
Infrastructure for deploying and managing data engines in distributed or offline-capable environments.
Distinguishing note: Focuses on edge deployment of data engines rather than general cloud infrastructure.
Explore 16 awesome GitHub repositories matching devops & infrastructure · Edge Computing. Refine with filters or upvote what's useful.
Vapor is a comprehensive server-side web framework designed for building scalable, high-performance applications and APIs in Swift. It provides a non-blocking, event-loop-based runtime that manages concurrent task processing, background job queues, and asynchronous request handling. The framework is built around a dependency injection container that manages the lifecycle and resolution of services, configurations, and database connections throughout the request pipeline. The framework distinguishes itself through a protocol-oriented design that emphasizes type safety across all layers of the
Enables deployment to global edge computing platforms.
ncnn is a high-performance neural network inference framework designed for executing deep learning models locally on mobile and desktop hardware. It functions as a specialized engine that enables the deployment of artificial intelligence tasks directly on resource-constrained devices, eliminating the need for external network connectivity or cloud-based processing services. The framework provides a comprehensive toolset for model optimization, allowing users to convert and quantize machine learning models into specialized binary structures. By utilizing static model graph compilation and zero
Enables complex artificial intelligence tasks like image and audio analysis to run locally on hardware for privacy and offline functionality.
This project is a high-performance MQTT broker and IoT data platform designed to manage millions of concurrent device connections. It provides a scalable infrastructure for ingesting, processing, and routing telemetry data across distributed systems, utilizing an actor-based concurrency model to maintain high availability and state synchronization across cluster nodes. The platform distinguishes itself through integrated stream processing and edge computing capabilities. It allows users to execute declarative SQL-based rules directly against incoming message streams for real-time filtering, t
Processes and filters data streams locally at the network edge to enable low-latency decision-making.
Azure Docs is the official technical documentation repository for Microsoft Azure, the cloud computing platform. It provides comprehensive guidance on the full spectrum of Azure services, covering everything from core infrastructure components like virtual machines, Kubernetes clusters, and serverless computing to platform services for AI, machine learning, data analytics, and storage. The documentation details how to provision, manage, and govern cloud resources at scale, including policy enforcement, identity management, and cost optimization. The documentation distinguishes Azure through i
Documents extending cloud intelligence and analytics to run on edge devices for local processing.
GraphQL Yoga is a GraphQL server framework designed for building APIs that operate across all JavaScript environments. It utilizes the WHATWG Fetch API to provide a standardized request and response interface, enabling the server to run on serverless and edge computing platforms. The framework includes a specialized server for processing file uploads via the standard GraphQL multipart request specification and a subscription server that delivers real-time data streaming through server-sent events. An extensible plugin framework allows for the injection of custom behaviors and logic into the r
Supports deploying GraphQL APIs to serverless and edge computing environments via web-standard fetch.
Photopea is a browser-based image editor that runs entirely in the browser without requiring any downloads or installations, capable of editing both raster and vector graphics. It functions as a multi-format image converter, a PSD file editor, a RAW photo processor, and a vector graphics editor, all within a single web application. The editor distinguishes itself through its extensive file format support, opening and saving industry-standard formats including PSD, AI, Sketch, Figma, and XD, as well as native files from Affinity, InDesign, and Krita. It also supports RAW camera files from Niko
Improves selection edges with tools for hair, fur, and other fine details.
SpringBlade is a development framework and platform designed for building multi-tenant SaaS applications. It provides a comprehensive scaffold for both Spring Cloud microservices and monolithic Spring Boot architectures, enabling the rapid construction of enterprise-grade software. The platform distinguishes itself through integrated LLM orchestration and industrial IoT management. It features an LLM orchestration platform that combines large language models with knowledge bases and visual AI agent workflows, alongside an IoT hub for device connectivity, state synchronization, and edge flow o
Processes data at the network edge using a visual node-based map of rules and tool calls.
ZyperWinOptimize is a Windows system optimization tool that automates performance tuning by removing bloatware, disabling unnecessary services, and cleaning junk files to improve system responsiveness. It functions as a profile-driven configuration tool, storing user-selected optimization settings in a JSON file for consistent reapplication across sessions, and includes capabilities for Windows and Office activation via embedded product keys and command-line tools. The tool distinguishes itself through its comprehensive approach to system modification, combining registry tweaking, service sta
Provides a built-in utility to completely uninstall Microsoft Edge, including all residual files and registry entries.
This is a Golang client library for interacting with a cloud native distributed messaging system. It provides the necessary tools for Go applications to exchange messages using publish-subscribe and request-reply patterns, as well as specialized clients for managing persistent streams and distributed storage. The library includes a JetStream client for durable message streaming and replay, a Key-Value store client for managing distributed state with versioning and watchers, and an Object Store client for the storage and retrieval of large binary files via chunked delivery. The implementation
Enables edge computing connectivity by bridging remote devices and edge environments to a central cluster via leaf nodes.
Vue Flow is a TypeScript library for building interactive node-based editors and flowcharts. It provides the core infrastructure for creating diagrams where users can drag, select, and connect nodes with edges, supporting pan and zoom navigation of the canvas. The library offers extensive control over graph behavior and appearance, including the ability to customize connection lines, define custom edge types, and configure zoom constraints and viewport defaults. It includes built-in components like a minimap for navigation, zoom controls, and a fit-view button, along with features for node re
Provides composable functions to delete edges from the diagram data model.
Remove-MS-Edge is a script-based utility designed to uninstall preinstalled web browsers and the WebView2 runtime from Windows operating systems. It functions as a component management tool that leverages batch scripts to remove system packages and associated runtime environments. The project includes a recovery utility to restore removed browser components from cabinet archives. This capability is used to resolve Windows Update loops and repair system update failures caused by missing browser components. The toolkit employs system-level primitives including the Deployment Image Servicing an
Provides automated scripts to remove the system web browser and its associated runtime.
Este proyecto es un orquestador de infraestructura serverless y herramienta de despliegue diseñada para alojar aplicaciones Next.js en AWS. Funciona como un framework de despliegue de edge computing y un wrapper de infraestructura como código que automatiza el aprovisionamiento de funciones AWS Lambda, buckets S3 y distribuciones CloudFront. El sistema se distingue por distribuir el renderizado del lado del servidor (SSR) y las rutas de API a través de ubicaciones edge globales para reducir la latencia. Se integra directamente con redes de entrega de contenido (CDN) para optimizar la entrega de activos estáticos y páginas renderizadas, proporcionando una capa para envolver los manejadores de la aplicación para su compatibilidad con entornos serverless. La plataforma cubre áreas de capacidad amplias, incluyendo entrega global de contenido, infraestructura de API serverless y configuración automatizada de recursos. Gestiona el tráfico mediante lógica de rutas en el edge y manejo de internacionalización, soportando estrategias de rendimiento como la regeneración estática incremental (ISR) y la optimización de imágenes en el edge. La infraestructura se gestiona mediante configuraciones de Terraform, proporcionando control sobre límites de memoria, tiempos de espera y asignación de permisos IAM.
Provides hosting for full-stack web applications, including API routes and rendered pages, at the network edge.
Este proyecto es un plugin y adaptador de Serverless Framework que permite el despliegue de aplicaciones Next.js en AWS Lambda@Edge y AWS CloudFront. Funciona como un puente para adaptar el renderizado del lado del servidor y las rutas de API para su ejecución en computación edge serverless. El plugin automatiza el aprovisionamiento de la infraestructura en la nube, incluyendo el empaquetado y despliegue del código de la aplicación en ubicaciones edge globales. Maneja la sincronización de activos estáticos a buckets de almacenamiento y el mapeo de rutas de Next.js a funciones edge especializadas para reducir la latencia global. El proyecto cubre capacidades de gran alcance, incluyendo entrega de contenido global, mapeo de dominio personalizado y DNS, y gestión de tráfico basada en edge para redirecciones de dominio. También gestiona configuraciones de recursos de computación, permisos de IAM y políticas de caché de red-edge, incluyendo soporte para regeneración estática incremental y prerenderizado automatizado.
Serves API routes and server-side rendered pages from network edges to improve global response times.
Segment Geospatial is a Python toolkit for isolating geographic features in remote sensing imagery using the Segment Anything Model. It functions as a remote sensing image processor that converts map tiles into georeferenced formats to generate segmentation masks from satellite data. The system enables the extraction of geographic objects through automatic mask generation or manual prompts, such as text descriptions, bounding boxes, and interactive markers. It supports timeseries imagery segmentation to track or identify objects across sequences of images over different dates and provides a g
Applies a feature edge reconstruction algorithm to refine the boundaries of segmented geospatial objects.
This project is a collection of structured study notes and conceptual breakdowns designed for the AWS Certified Cloud Practitioner exam. It serves as a technical reference and study guide, organizing cloud service details and architectural principles to assist in certification preparation. The knowledge base is built using markdown files and includes curated cheat sheets and interactive mind-map visualizations. These tools map complex certification topics into visual hierarchies to enable drill-down study paths and rapid revision. The materials cover a wide range of cloud capabilities, inclu
Provides notes on running compute instances and functions on ruggedized hardware at the edge.
El sandbox-sdk es un kit de desarrollo diseñado para construir entornos de ejecución seguros y aislados en una red global de borde (edge network). Proporciona un framework para crear espacios de trabajo efímeros y contenerizados que permiten a los desarrolladores ejecutar código no confiable, gestionar tareas de compilación y alojar scripts automatizados sin comprometer la seguridad del sistema anfitrión. Al aprovechar un runtime serverless, la plataforma permite el despliegue de estos entornos directamente en el borde de la red para garantizar un rendimiento de baja latencia. La plataforma se distingue por integrar modelos de lenguaje con ejecución en sandbox, facilitando el desarrollo de agentes de IA autónomos que pueden realizar tareas dinámicas y generar código. Incluye funciones especializadas para el desarrollo remoto interactivo, como sesiones de terminal persistentes y multiplexación de flujos en tiempo real, que permiten la depuración activa y la observación de procesos. La seguridad se gestiona mediante la inyección automatizada de credenciales y controles de acceso a la red, asegurando que los tokens de autenticación sensibles permanezcan ocultos del código que se ejecuta dentro del sandbox. Más allá de sus capacidades principales de ejecución, la plataforma admite una amplia gama de flujos de trabajo, incluyendo alojamiento de aplicaciones web, pipelines de compilación automatizados y gestión remota del sistema de archivos. Proporciona herramientas para mapear servicios de contenedores internos a subdominios públicos, permitiendo el acceso remoto seguro a los servicios alojados. El sistema también incluye funciones de observabilidad para capturar diagnósticos en tiempo de ejecución y mecanismos de caché para acelerar los ciclos de desarrollo mediante la reutilización de artefactos de compilación.
Runs full-featured web applications within secure edge containers while proxying traffic for safe remote access.