17 Repos
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.
Dieses Projekt ist ein Serverless-Infrastruktur-Orchestrator und Deployment-Tool für das Hosting von Next.js-Anwendungen auf AWS. Es fungiert als Framework für Edge-Computing-Deployments und als Infrastructure-as-Code-Wrapper, der die Bereitstellung von AWS Lambda-Funktionen, S3-Buckets und CloudFront-Distributionen automatisiert. Das System zeichnet sich dadurch aus, dass es Server-Side-Rendering und API-Routen über globale Edge-Standorte verteilt, um die Latenz zu minimieren. Es lässt sich direkt in Content Delivery Networks integrieren, um die Auslieferung statischer Assets und gerenderter Seiten zu optimieren, und bietet eine Schicht, um Anwendungs-Handler für Serverless-Umgebungen zu kapseln. Die Plattform deckt breite Funktionsbereiche ab, darunter globales Content Delivery, Serverless-API-Infrastruktur und automatisierte Ressourcenkonfiguration. Sie steuert den Datenverkehr durch Edge-Routing-Logik und Internationalisierungs-Handling und unterstützt Performance-Strategien wie Incremental Static Regeneration und Edge-basiertes Bild-Optimierung. Die Infrastruktur wird über Terraform-Konfigurationen verwaltet, was eine präzise Kontrolle über Speicherlimits, Timeout-Dauern und IAM-Berechtigungen ermöglicht.
Provides hosting for full-stack web applications, including API routes and rendered pages, at the network edge.
Dieses Projekt ist ein Serverless-Framework-Plugin und -Adapter, das die Bereitstellung von Next.js-Anwendungen auf AWS Lambda@Edge und AWS CloudFront ermöglicht. Es fungiert als Brücke, um serverseitiges Rendering und API-Routen für die Ausführung auf serverlosem Edge-Compute anzupassen. Das Plugin automatisiert die Bereitstellung der Cloud-Infrastruktur, einschließlich der Paketierung und Bereitstellung von Anwendungscode an globalen Edge-Standorten. Es übernimmt die Synchronisierung statischer Assets mit Speicher-Buckets und die Abbildung von Next.js-Routen auf spezialisierte Edge-Funktionen, um die globale Latenz zu reduzieren. Das Projekt deckt weitreichende Funktionen ab, einschließlich globaler Content-Delivery, benutzerdefinierter Domain- und DNS-Abbildung sowie Edge-basiertem Traffic-Management für Domain-Redirects. Es verwaltet zudem Compute-Ressourcenkonfigurationen, IAM-Berechtigungen und Netzwerk-Edge-Cache-Richtlinien, einschließlich Unterstützung für inkrementelle statische Regeneration und automatisiertes Prerendering.
Serves API routes and server-side rendered pages from network edges to improve global response times.
Segment Geospatial ist ein Python-Toolkit zur Isolierung geografischer Merkmale in Fernerkundungsbildern unter Verwendung des Segment Anything Model. Es fungiert als Fernerkundungs-Bildprozessor, der Kartenkacheln in georeferenzierte Formate konvertiert, um Segmentierungsmasken aus Satellitendaten zu generieren. Das System ermöglicht die Extraktion geografischer Objekte durch automatische Maskengenerierung oder manuelle Prompts, wie Textbeschreibungen, Bounding-Boxes und interaktive Marker. Es unterstützt die Segmentierung von Zeitreihenbildern, um Objekte über Sequenzen von Bildern an verschiedenen Daten hinweg zu verfolgen oder zu identifizieren, und bietet einen Geodaten-Masken-Visualisierer für das Rendern von Ergebnissen auf interaktiven Karten. Das Projekt deckt ein breites Spektrum an räumlichen Operationen ab, einschließlich Kartenkachel-Akquise, Raster-zu-Vektor-Konvertierung und Feature-Edge-Rekonstruktion zur Verfeinerung von Objektgrenzen. Es enthält zudem eine REST-API, die diese Segmentierungs- und Datenverarbeitungsfunktionen für Remote-Anwendungen bereitstellt. Exportfunktionen unterstützen georeferenzierte Rasterbilder und Standard-Vektorformate, einschließlich GeoJSON, Shapefile und 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.
Das sandbox-sdk ist ein Development Kit für den Aufbau sicherer, isolierter Ausführungsumgebungen in einem globalen Edge-Netzwerk. Es bietet ein Framework zur Erstellung ephemerer, containerisierter Arbeitsbereiche, die es Entwicklern ermöglichen, nicht vertrauenswürdigen Code auszuführen, Build-Aufgaben zu verwalten und automatisierte Skripte zu hosten, ohne die Sicherheit des Host-Systems zu gefährden. Durch die Nutzung einer serverlosen Laufzeitumgebung ermöglicht die Plattform das Deployment dieser Umgebungen direkt an der Netzwerk-Edge, um eine niedrige Latenz zu gewährleisten. Die Plattform zeichnet sich durch die Integration von Sprachmodellen mit Sandbox-Ausführung aus, was die Entwicklung autonomer KI-Agenten erleichtert, die dynamische Aufgaben ausführen und Code generieren können. Sie enthält spezialisierte Funktionen für interaktives Remote-Development, wie persistente Terminal-Sitzungen und Echtzeit-Stream-Multiplexing, die aktives Debugging und die Beobachtung von Prozessen ermöglichen. Sicherheit wird durch automatisierte Credential-Injection und Netzwerkzugriffskontrollen verwaltet, wodurch sichergestellt wird, dass sensible Authentifizierungstoken vor dem in der Sandbox laufenden Code verborgen bleiben. Über ihre Kernfunktionen hinaus unterstützt die Plattform eine breite Palette von Workflows, einschließlich Web-App-Hosting, automatisierter Build-Pipelines und Remote-Dateisystemverwaltung. Sie bietet Tools zum Mapping interner Container-Dienste auf öffentliche Subdomains, was einen sicheren Remote-Zugriff auf gehostete Dienste ermöglicht. Das System enthält zudem Observability-Funktionen zur Erfassung von Laufzeitdiagnosen sowie Caching-Mechanismen, um Entwicklungszyklen durch die Wiederverwendung von Build-Artefakten zu beschleunigen.
Runs full-featured web applications within secure edge containers while proxying traffic for safe remote access.