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[![Build Status](https://travis-ci.org/Azure/batch-shipyard.svg?branch=master)](https://travis-ci.org/Azure/batch-shipyard)
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[![Docker Pulls](https://img.shields.io/docker/pulls/alfpark/batch-shipyard.svg)](https://hub.docker.com/r/alfpark/batch-shipyard)
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[![Image Layers](https://images.microbadger.com/badges/image/alfpark/batch-shipyard.svg)](http://microbadger.com/images/alfpark/batch-shipyard)
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# Batch Shipyard
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[Batch Shipyard](https://github.com/Azure/batch-shipyard) is a tool to help
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provision and execute batch-style Docker workloads on
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[Azure Batch](https://azure.microsoft.com/en-us/services/batch/) compute
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pools. No experience with the
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[Azure Batch SDK](https://github.com/Azure/azure-batch-samples) is needed; run
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your Dockerized tasks with easy-to-understand configuration files!
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## Major Features
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* Automated [Docker Host Engine](https://docker.io) installation on compute
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nodes
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* Automated deployment of required Docker images to compute nodes
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* Accelerated Docker image deployment at scale to compute pools consisting of
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a large number of VMs via private peer-to-peer distribution of Docker images
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among the compute nodes
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* Automated Docker Private Registry instance creation on compute nodes with
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Docker images backed to Azure Storage if specified
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* Automated
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[Azure File Docker Volume Driver](https://github.com/Azure/azurefile-dockervolumedriver)
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installation and share setup for SMB/CIFS backed to Azure Storage if
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specified
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* Seamless integration with Azure Batch job, task and file concepts along with
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full pass-through of the
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[Azure Batch API](https://azure.microsoft.com/en-us/documentation/articles/batch-api-basics/)
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to containers executed on compute nodes
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* Support for task dependencies allowing complex processing pipelines and
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graphs with Docker containers
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* Support for multi-instance tasks to accomodate Dockerized MPI applications
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on compute pools
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* Transparent assist for running Docker containers utilizing Infiniband/RDMA
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for MPI on
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[HPC low-latency Azure VM instances](https://azure.microsoft.com/en-us/documentation/articles/virtual-machines-windows-a8-a9-a10-a11-specs/)
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(i.e., STANDARD\_A8 and STANDARD\_A9)
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* Automatic set up of SSH tunneling to Docker Hosts on compute nodes if
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specified
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## Installation
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Simply clone the repository:
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```
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git clone https://github.com/Azure/batch-shipyard.git
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```
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or [download the latest release](https://github.com/Azure/batch-shipyard/releases).
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## Requirements
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The Batch Shipyard tool is written in Python. The client script is compatible
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with Python 2.7 or 3.3+. You will also need to install the
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[Azure Batch](https://pypi.python.org/pypi/azure-batch) and
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[Azure Storage](https://pypi.python.org/pypi/azure-storage) python packages.
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Installation can be performed using the [requirements.txt](./requirements.txt)
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file via the command `pip install --user -r requirements.txt` (or via `pip3`
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for python3).
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## Batch Shipyard Compute Node OS Support
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Batch Shipyard is currently only compatible with Linux Batch Compute Pools
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configured via
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[VirtualMachineConfiguration](http://azure-sdk-for-python.readthedocs.io/en/latest/_modules/azure/batch/models/virtual_machine_configuration.html).
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Please see the list of
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[Azure Batch supported Marketplace Linux VMs](https://azure.microsoft.com/en-us/documentation/articles/batch-linux-nodes/#list-of-virtual-machine-images)
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for use with Batch Shipyard.
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## Documentation
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Please refer to
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[this guide](https://github.com/Azure/batch-shipyard/blob/master/docs)
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for a complete primer on concepts and usage.
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Please visit the
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[recipes directory](https://github.com/Azure/batch-shipyard/blob/master/recipes)
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for different sample Docker workloads using Azure Batch and Batch Shipyard
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after you have completed the primer.
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## ChangeLog
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See the [CHANGELOG.md](https://github.com/Azure/batch-shipyard/blob/master/CHANGELOG.md)
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file.
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* * *
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This project has adopted the
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[Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
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For more information see the
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[Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
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contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any
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additional questions or comments.
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