Showing 5 open source projects for "kubernetes"

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  • 1
    Kubernetes Operator Pythonic Framework

    Kubernetes Operator Pythonic Framework

    A Python framework to write Kubernetes operators in just a few lines

    Kopf —Kubernetes Operator Pythonic Framework— is a framework and a library to make Kubernetes operator's development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic).
    Downloads: 0 This Week
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  • 2
    Seldon Core

    Seldon Core

    An MLOps framework to package, deploy, monitor and manage models

    The de facto standard open-source platform for rapidly deploying machine learning models on Kubernetes. Seldon Core, our open-source framework, makes it easier and faster to deploy your machine learning models and experiments at scale on Kubernetes. Seldon Core serves models built in any open-source or commercial model building framework. You can make use of powerful Kubernetes features like custom resource definitions to manage model graphs.
    Downloads: 0 This Week
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  • 3
    Checkov

    Checkov

    Prevent cloud misconfigurations during build-time for Terraform

    ...Checkov uses a common command-line interface to manage and analyze infrastructure as code (IaC) scan results across platforms such as Terraform, CloudFormation, Kubernetes, Helm, ARM Templates and Serverless framework. Verify changes to hundreds of supported resource types in all major cloud providers. Checkov supports developers using Terraform, Terraform plan, CloudFormation, Kubernetes, ARM Templates, Serverless, Helm, and AWS CDK. Scan cloud resources in build-time for misconfigured attributes with a simple Python policy-as-code framework. ...
    Downloads: 1 This Week
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  • 4
    BentoML

    BentoML

    Unified Model Serving Framework

    ...Parallelize compute-intense model inference workloads to scale separately from the serving logic. Adaptive batching dynamically groups inference requests for optimal performance. Orchestrate distributed inference graph with multiple models via Yatai on Kubernetes. Easily configure CUDA dependencies for running inference with GPU. Automatically generate docker images for production deployment.
    Downloads: 0 This Week
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  • 5
    Kopf

    Kopf

    A Python framework to write Kubernetes operators

    Kopf —Kubernetes Operator Pythonic Framework, is a framework and a library to make Kubernetes operator's development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic).
    Downloads: 0 This Week
    Last Update:
    See Project
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