Awesome GitHub RepositoriesRemote Worker Execution

Puter is a browser-based desktop environment and cloud-native development platform that provides a virtualized graphical workspace. It enables developers to build and deploy full-stack web applications by integrating cloud storage, authentication, and serverless backend logic directly into the browser, eliminating the need for traditional server infrastructure. The platform distinguishes itself through a unified cloud storage layer and a distributed network runtime that facilitates peer-to-peer communication and cross-origin resource fetching. It features a sophisticated cross-window orchestr

Prefect is a workflow orchestration platform designed to define, schedule, and monitor complex data pipelines as Python code. It functions as a container-native engine that wraps individual tasks in isolated environments, ensuring consistent dependencies and resource allocation across diverse infrastructure. By utilizing a state-machine-based orchestration model, the system tracks execution progress through discrete transitions and persistent event logs to maintain reliable and observable task processing. The platform distinguishes itself through a decoupled worker-API architecture, which sep

iii is a distributed service orchestrator and event-driven workflow engine designed to compose and manage cross-language functions and workers through a central execution engine. It functions as a multi-language service mesh and WebSocket service gateway, providing a persistent communication layer for remote service workers. The platform enables dynamic runtime extensions, allowing new workers and capabilities to be deployed and registered into a live environment without requiring system restarts. It distinguishes itself by offering machine-readable skill exposure and agent capability integra

OneDev is a self-hosted, unified development platform that integrates Git repository hosting, issue tracking, and continuous integration and deployment (CI/CD) into a single system. It provides a comprehensive environment for managing the entire software lifecycle, allowing teams to coordinate code reviews, track development tasks, and automate build pipelines through a centralized interface. The platform distinguishes itself by offering browser-based, containerized development environments that allow developers to access and edit project files directly on the server. Its build system utilize

Openwork is an LLM agent orchestration platform and cross-platform desktop application designed for building and running automated workflows. It serves as a local AI agent host and session manager, allowing users to connect local project folders to various large language models and remote cloud workers. The project distinguishes itself through a local-first execution model that enables agents to process files directly on a host machine. It implements human-in-the-loop permissioning to intercept agent resource requests, requiring explicit user approval before accessing specific local system fi

Jenkins-Zero-To-Hero is an educational course and DevOps engineering curriculum designed to teach the practical application of Jenkins for continuous integration and delivery. It serves as a comprehensive guide and tutorial for building automated software release lifecycles. The material specifically focuses on Jenkins Docker integration, providing instructional guides for configuring Docker agents and executing build pipelines within isolated container environments. It covers the development of pipelines as code using declarative scripts to ensure repeatable deployment processes. The curric

Feast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma

Osmedeus is a security workflow orchestration engine that coordinates AI agents, shell commands, and scanning tools through declarative YAML pipelines. It functions as a distributed security scanner, a declarative workflow automator, and an AI agent framework for security, enabling automated multi-step security analysis with conditional branching, parallel execution, and distributed workers. The engine distinguishes itself through a hybrid runner model that executes workflow steps on the local host, inside Docker containers, or over SSH to remote machines, selected per step or module. It supp

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.

Dieses Projekt ist ein strukturierter Bildungsleitfaden und Lehrplan zur Beherrschung von Infrastructure as Code (IaC). Es fungiert als Leitfaden für Cloud-Provisioning und DevOps-Schulungsmaterial und bietet eine Reihe von Lektionen und praktischen Übungen zur Bereitstellung und Verwaltung von Cloud-Ressourcen durch deklarative Konfiguration. Der Lehrplan deckt die Entwicklung wiederverwendbarer Module, die Orchestrierung mehrerer Umgebungen mittels Workspaces und die Verwaltung von Remote-State-Dateien mit Sperrmechanismen ab. Er enthält zudem Anleitungen zum Cloud-Secret-Management zur Sicherung sensibler Daten. Das Material umfasst grundlegende Infrastructure-as-Code-Funktionen, einschließlich Provider-Konfiguration, variablenbasierter Parametrisierung und der Verwendung dynamischer Logik und Funktionen für flexible Konfigurationen. Es adressiert zudem die Ressourcenbereitstellung und den Abruf externer Daten.