8 مستودعات
Capability to run the same application across diverse hosting paradigms such as standalone, serverless, and orchestrated clusters.
Distinguishing note: The candidates focus on multi-user environments or specific platforms like OpenShift, not the breadth of hosting paradigms.
Explore 8 awesome GitHub repositories matching devops & infrastructure · Multi-Environment Hosting. Refine with filters or upvote what's useful.
Old repo of Nuxt 3 framework, now on nuxt/nuxt
Packages applications into a universal output directory deployable across Node.js, Deno, serverless, edge, and static hosting.
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
Selects between local, Docker, or SSH execution environments per workflow step.
Ant Design Blazor is a library of enterprise-class UI components that implement the Ant Design visual language for Blazor applications. It provides a complete set of pre-built, high-quality components designed for building professional web interfaces in complex business applications. The library is distributed as a single NuGet package that integrates into existing Blazor projects through standard dependency injection, and also offers template-based project scaffolding for generating new project structures. It supports multiple hosting models, allowing the same components to run across WebAss
Runs the same components across WebAssembly, server, or hybrid environments without code changes.
This is a GitHub Action that executes shell commands on remote servers over SSH as part of a CI/CD pipeline. It supports authentication using passwords, private keys, or private keys with passphrases, and can verify the SHA256 fingerprint of the remote host's public key before connecting to prevent man-in-the-middle attacks. The action can connect to multiple remote hosts in a single workflow step, optionally executing commands synchronously across all of them. It also supports routing SSH connections through an intermediate jump host to reach target servers in restricted networks. Environmen
Connects to multiple remote hosts simultaneously and executes commands across all of them in one step.
pyinfra is an agentless infrastructure automation framework that turns declarative Python code into idempotent shell commands to manage servers, containers, and local machines over SSH without requiring any pre-installed software on target hosts. It operates by comparing the desired state of a system against its current state, using a dry-run simulation mode to preview changes and a fact-based conditional execution engine to gather host attributes at runtime and control which operations run. The tool compiles Python operations into optimized shell commands and executes them in parallel across
Manages thousands of servers in parallel with SSH-based, agentless execution and real-time output.
pyinfra is a Python-based infrastructure automation framework that turns Python code into shell commands for managing servers, Docker containers, and local machines. It operates as a declarative, idempotent deployment tool, applying desired system states by comparing target configurations against current states and making only the necessary changes. The framework provides a connector-based transport abstraction that unifies SSH, Docker, and local execution behind a common interface, with a parallel execution engine that manages concurrent operations across hosts. The tool distinguishes itself
Connects to multiple remote hosts simultaneously and executes commands across all of them in one step.
PhiCookBook is a technical guide and implementation framework for integrating small language models into applications. It provides instructions for deploying these lightweight models to perform reasoning, coding, and math tasks across various hardware environments and serving platforms. The project functions as a tutorial for developing intelligent AI applications by chaining prompts and code into executable sequences. It includes a framework for evaluating model behavior and calculating quality metrics to verify the accuracy and reliability of these workflows. The repository covers a broad
Provides interfaces to execute lightweight models across diverse hardware environments and serving platforms.
mcp-context-forge is a Model Context Protocol federation gateway that unifies diverse AI tool servers and APIs into a single consistent interface for discovery and execution. It acts as a centralized proxy that aggregates multiple servers and APIs, allowing AI agents to access and invoke a unified set of tools, prompts, and resources. The project distinguishes itself through a multi-protocol translation bridge that converts communication between standard I/O, SSE, gRPC, and REST to enable interoperability between disparate tool servers. It includes a comprehensive LLM evaluation framework for
Supports deployment as a standalone module, serverless function, or within Kubernetes and OpenShift.