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5 Repos

Awesome GitHub RepositoriesDeclarative Infrastructure Tools

Automates provisioning using configuration templates.

Distinguishing note: Focuses on infrastructure-as-code for service dependencies.

Explore 5 awesome GitHub repositories matching devops & infrastructure · Declarative Infrastructure Tools. Refine with filters or upvote what's useful.

Awesome Declarative Infrastructure Tools GitHub Repositories

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  • langgenius/difyAvatar von langgenius

    langgenius/dify

    145,458Auf GitHub ansehen↗

    Dify is an open-source platform for building, orchestrating, and deploying generative AI applications and autonomous agents. It provides a visual development environment that allows users to design complex, multi-step logic chains and conversational flows, which can then be published as APIs, web interfaces, or embedded widgets. The platform acts as a centralized infrastructure layer, managing model connections, prompt templates, and knowledge retrieval to support scalable AI-powered services. What distinguishes the platform is its focus on stateful application design and workflow orchestrati

    Uses environment-specific configuration files and templates to automate the provisioning and setup of persistent service dependencies.

    TypeScriptagentagentic-aiagentic-framework
    Auf GitHub ansehen↗145,458
  • opentofu/opentofuAvatar von opentofu

    opentofu/opentofu

    29,206Auf GitHub ansehen↗

    OpenTofu is a declarative infrastructure orchestrator that automates the provisioning and management of cloud resources. It functions as a platform-agnostic interface, allowing users to define their desired environment state in configuration files, which the system then reconciles against live infrastructure to calculate and execute necessary updates. The project utilizes a graph-based execution engine to determine the optimal sequence for resource operations, enabling the parallel processing of independent components to reduce deployment times. To support complex, multi-platform environments

    A tool that manages cloud resources by comparing desired configuration states against live environments to automate provisioning and updates.

    Go
    Auf GitHub ansehen↗29,206
  • cortexlabs/cortexAvatar von cortexlabs

    cortexlabs/cortex

    8,013Auf GitHub ansehen↗

    Cortex is a Kubernetes-based machine learning infrastructure platform designed for deploying, scaling, and managing models and workloads. It functions as a serverless inference engine and GPU cluster orchestrator, providing the tools necessary to execute real-time, asynchronous, and batch model predictions. The platform utilizes declarative infrastructure-as-code for provisioning model clusters and environments. It optimizes operational costs by elastically scaling CPU and GPU resources through the use of spot instances. The system covers a broad set of operational capabilities, including wo

    Uses infrastructure-as-code and configuration templates to provision machine learning environments and clusters.

    Goinfrastructuremachine-learning
    Auf GitHub ansehen↗8,013
  • fluxcd/fluxAvatar von fluxcd

    fluxcd/flux

    6,861Auf GitHub ansehen↗

    Flux is a Kubernetes GitOps controller and deployment engine that synchronizes cluster state with configurations stored in a Git repository. It serves as a system for continuous delivery, utilizing a manifest generator to create configuration files from templates and a reconciliation loop to ensure the live environment matches the desired state defined in versioned repositories. The project distinguishes itself through a container image automator that scans registries and updates manifests based on semantic versioning or regular expressions. It incorporates secure configuration deployment via

    Automates infrastructure provisioning using declarative templates and encrypted configuration files.

    Go
    Auf GitHub ansehen↗6,861
  • pyinfra-dev/pyinfraAvatar von pyinfra-dev

    pyinfra-dev/pyinfra

    5,779Auf GitHub ansehen↗

    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

    Applies desired system states by comparing target against current configuration and making only necessary changes.

    Pythoncloud-managementconfiguration-managementhigh-performance
    Auf GitHub ansehen↗5,779
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