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2 مستودعات

Awesome GitHub RepositoriesPipeline Orchestrators

Tools that coordinate the promotion of artifacts through environments using visual workflows and graph-based execution.

Distinct from Cloud Deployment: Distinct from Cloud Deployment by focusing on the workflow orchestration and DAG-based promotion logic across environments.

Explore 2 awesome GitHub repositories matching devops & infrastructure · Pipeline Orchestrators. Refine with filters or upvote what's useful.

Awesome Pipeline Orchestrators GitHub Repositories

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  • spinnaker/spinnakerالصورة الرمزية لـ spinnaker

    spinnaker/spinnaker

    9,740عرض على GitHub↗

    Spinnaker is a multi-cloud continuous delivery platform designed to automate software releases and deployment pipelines across various public cloud providers and Kubernetes clusters. It functions as a cloud deployment orchestrator and infrastructure delivery tool, coordinating the promotion of software artifacts through multiple environments using visual workflows and directed acyclic graphs. The platform distinguishes itself with a dedicated canary analysis engine that compares performance metrics between new and stable software versions to automate release decisions. It utilizes cloud-agnos

    Coordinates software artifact promotion through environments using visual workflows and directed acyclic graphs.

    Java
    عرض على GitHub↗9,740
  • zenml-io/zenmlالصورة الرمزية لـ zenml-io

    zenml-io/zenml

    5,451عرض على GitHub↗

    ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented

    Executes machine learning workflows on defined infrastructure stacks to enable reproducible runs and shared caching of pipeline results.

    Pythonagentopsagentsai
    عرض على GitHub↗5,451
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