17 repository-uri
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.
Acest proiect este un orchestrator de infrastructură serverless și un instrument de deployment conceput pentru a găzdui aplicații Next.js pe AWS. Funcționează ca un framework de deployment pentru edge computing și un wrapper de infrastructură cloud-as-code care automatizează provizionarea funcțiilor AWS Lambda, a bucket-urilor S3 și a distribuțiilor CloudFront. Sistemul se distinge prin distribuirea randării pe partea de server (SSR) și a rutelor API în locații edge globale pentru a reduce latența. Se integrează direct cu rețelele de livrare de conținut (CDN) pentru a optimiza livrarea activelor statice și a paginilor randate, oferind în același timp un strat pentru a împacheta handler-ele aplicației pentru compatibilitate cu mediile serverless. Platforma acoperă domenii largi de capabilități, inclusiv livrarea globală de conținut, infrastructura API serverless și configurarea automatizată a resurselor. Gestionează traficul prin logică de rutare edge și gestionarea internaționalizării, suportând în același timp strategii de performanță precum incremental static regeneration și optimizarea imaginilor la nivel de edge. Infrastructura este gestionată prin configurații Terraform, oferind control asupra limitelor de memorie, duratelor de timeout și alocărilor de permisiuni IAM.
Provides hosting for full-stack web applications, including API routes and rendered pages, at the network edge.
Acest proiect este un plugin și adaptor pentru Serverless Framework care permite implementarea aplicațiilor Next.js pe AWS Lambda@Edge și AWS CloudFront. Acesta funcționează ca un bridge pentru a adapta randarea pe server și rutele API pentru execuția pe serverless edge compute. Plugin-ul automatizează provizionarea infrastructurii cloud, inclusiv împachetarea și implementarea codului aplicației în locații edge globale. Gestionează sincronizarea activelor statice către bucket-uri de stocare și maparea rutelor Next.js către funcții edge specializate pentru a reduce latența globală. Proiectul acoperă capabilități vaste, inclusiv livrarea globală de conținut, maparea domeniilor personalizate și DNS, și gestionarea traficului edge-based pentru redirecționările de domeniu. De asemenea, gestionează configurațiile resurselor de calcul, permisiunile IAM și politicile de cache network-edge, inclusiv suport pentru incremental static regeneration și prerendering automat.
Serves API routes and server-side rendered pages from network edges to improve global response times.
Segment Geospatial este un toolkit Python pentru izolarea caracteristicilor geografice în imagini de teledetecție folosind Segment Anything Model. Funcționează ca un procesor de imagini de teledetecție care convertește tile-urile de hartă în formate georeferențiate pentru a genera măști de segmentare din date satelitare. Sistemul permite extragerea obiectelor geografice prin generarea automată de măști sau prompt-uri manuale, cum ar fi descrieri text, bounding box-uri și markere interactive. Suportă segmentarea imaginilor timeseries pentru a urmări sau identifica obiecte în secvențe de imagini pe date diferite și oferă un vizualizator de măști geospațiale pentru randarea rezultatelor pe hărți interactive. Proiectul acoperă o gamă largă de operațiuni spațiale, inclusiv achiziția de tile-uri de hartă, conversia raster-la-vector și reconstrucția marginilor caracteristicilor pentru a rafina limitele obiectelor. Include, de asemenea, un API REST care expune aceste funcții de segmentare și procesare a datelor către aplicații remote. Capabilitățile de export suportă imagini raster georeferențiate și formate vectoriale standard, inclusiv GeoJSON, Shapefile și 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.