17 个仓库
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 17 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.
本项目是一个无服务器基础设施编排和部署工具,旨在 AWS 上托管 Next.js 应用程序。它作为一个边缘计算部署框架和云基础设施即代码 (IaC) 封装器,自动化配置 AWS Lambda 函数、S3 存储桶和 CloudFront 分发。 该系统的特色在于将服务端渲染和 API 路由分发到全球边缘节点,以降低延迟。它直接与内容分发网络 (CDN) 集成,以优化静态资源和渲染页面的交付,同时提供一层封装来适配无服务器环境的应用处理器。 该平台涵盖了广泛的功能领域,包括全球内容交付、无服务器 API 基础设施和自动化资源配置。它通过边缘路由逻辑和国际化处理来管理流量,同时支持增量静态再生 (ISR) 和边缘图像优化等性能策略。基础设施通过 Terraform 配置进行管理,从而控制内存限制、超时时长和 IAM 权限分配。
Provides hosting for full-stack web applications, including API routes and rendered pages, at the network edge.
This project is a Serverless Framework plugin and adapter that enables the deployment of Next.js applications to AWS Lambda@Edge and AWS CloudFront. It functions as a bridge to adapt server-side rendering and API routes for execution on serverless edge compute. The plugin automates the provisioning of cloud infrastructure, including the packaging and deployment of application code to global edge locations. It handles the synchronization of static assets to storage buckets and the mapping of Next.js routes to specialized edge functions to reduce global latency. The project covers wide-ranging
Serves API routes and server-side rendered pages from network edges to improve global response times.
Segment Geospatial 是一个 Python 工具包,用于使用 Segment Anything Model (SAM) 隔离遥感影像中的地理特征。它作为一个遥感图像处理器,将地图瓦片转换为地理参考格式,从而从卫星数据中生成分割掩码。 该系统支持通过自动掩码生成或手动提示(如文本描述、边界框和交互式标记)来提取地理对象。它支持时序影像分割,以跟踪或识别不同日期图像序列中的对象,并提供用于在交互式地图上渲染结果的地理空间掩码可视化工具。 该项目涵盖了广泛的空间操作,包括地图瓦片获取、栅格转矢量转换以及用于细化对象边界的特征边缘重建。它还包括一个 REST API,将这些分割和数据处理功能暴露给远程应用程序。 导出功能支持地理参考栅格图像和标准矢量格式,包括 GeoJSON、Shapefile 和 GeoPackage。
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.
jstack is a TypeScript full stack framework and edge-compatible web stack. It serves as a development setup that ensures end-to-end type safety by sharing TypeScript definitions between the server and the client. The project functions as a Next.js application boilerplate, providing a pre-configured starting point for building web applications with integrated routing, styling, and database tools. It includes a type-safe database integration system that automatically generates TypeScript definitions from database schemas to prevent runtime data errors. The framework covers full stack web devel
Hosts full-stack web applications, including API and rendered pages, at the network edge.
The sandbox-sdk is a development kit designed for building secure, isolated execution environments on a global edge network. It provides a framework for creating ephemeral, containerized workspaces that allow developers to run untrusted code, manage build tasks, and host automated scripts without compromising host system security. By leveraging a serverless runtime, the platform enables the deployment of these environments directly at the network edge to ensure low-latency performance. The platform distinguishes itself by integrating language models with sandboxed execution, facilitating the
Runs full-featured web applications within secure edge containers while proxying traffic for safe remote access.