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4 个仓库

Awesome GitHub RepositoriesContainerized Task Execution

Mechanisms for packaging and running workflow tasks within isolated container environments.

Distinct from Container Image Packaging: Distinct from general image packaging: focuses on the runtime execution of tasks within containers rather than just image creation.

Explore 4 awesome GitHub repositories matching devops & infrastructure · Containerized Task Execution. Refine with filters or upvote what's useful.

Awesome Containerized Task Execution GitHub Repositories

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  • prefecthq/prefectPrefectHQ 的头像

    PrefectHQ/prefect

    21,640在 GitHub 上查看↗

    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

    Packages workflow code into container images to ensure consistent and reproducible execution environments.

    Pythonautomationdatadata-engineering
    在 GitHub 上查看↗21,640
  • flyteorg/flyteflyteorg 的头像

    flyteorg/flyte

    7,095在 GitHub 上查看↗

    Flyte is a Kubernetes-based machine learning orchestrator and containerized pipeline manager designed for coordinating AI workflows and data pipelines. It functions as an engine for defining and executing resilient pipelines, utilizing a data lineage tracker to maintain immutable execution states and ensure reproducible outputs. The platform distinguishes itself by packaging individual tasks into separate containers to ensure dependency isolation and environment consistency. It provides specialized capabilities for machine learning, including the transformation of trained models into scalable

    Manages the packaging and execution of individual pipeline tasks within isolated containers.

    Go
    在 GitHub 上查看↗7,095
  • aws/copilot-cliaws 的头像

    aws/copilot-cli

    3,735在 GitHub 上查看↗

    AWS Copilot is a command line interface for deploying and managing containerized applications and services on AWS. It serves as a container deployment tool, infrastructure orchestrator, and job runner, enabling the release of production-ready workloads through a simplified set of commands. The tool distinguishes itself by automating the entire application lifecycle, from initializing directory structures and manifests to managing continuous delivery pipelines with Git integration. It utilizes a manifest-based approach to generate and customize cloud infrastructure templates, allowing for the

    Triggers the execution of specific containerized background tasks within a defined environment.

    Goaws-apprunneraws-ecsaws-fargate
    在 GitHub 上查看↗3,735
  • jenkinsci/jenkinsfile-runnerjenkinsci 的头像

    jenkinsci/jenkinsfile-runner

    1,202在 GitHub 上查看↗

    Jenkinsfile runner is a continuous integration engine that executes declarative workflows and pipeline scripts directly from the command line or container environments without requiring a persistent master server. It provides terminal-based execution tools for running, testing, and linting pipeline definitions locally, supporting build parameter passing, interactive shell sessions, and source control checkout configurations with authentication for private repositories. The system supports declarative instance configuration through mounted YAML files, automatic dependency resolution, and on-de

    Runs continuous integration tasks inside pre-built or custom container images for isolated execution.

    Javaclidocker-imagefaas
    在 GitHub 上查看↗1,202
  1. Home
  2. DevOps & Infrastructure
  3. Container Image Packaging
  4. Containerized Task Execution

探索子标签

  • Elastic Container Service ExecutionRuns data pipeline tasks as containerized processes on managed elastic cloud compute services. **Distinct from Containerized Task Execution:** Focuses on the execution of tasks on ECS, distinct from general containerized task execution.