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  1. docs/integrations/veeam/README.md

    - Follow the on screen wizard
    
    - On the Capacity Tier screen, check the box to Extend scale-out backup repository capacity with object storage checkbox and select the object storage. If you want to be able to test backup data immediately after a job is run, under the object storage selection, check the "Copy" box and uncheck the "Move" box.
    
    ### Create a backup job
    
    #### Backup Virtual Machines with Veeam Backup and Replication
    
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  2. docs/config/README.md

    minio server /data
    ```
    
    ### Storage Class
    
    By default, parity for objects with standard storage class is set to `N/2`, and parity for objects with reduced redundancy storage class objects is set to `2`. Read more about storage class support in MinIO server [here](https://github.com/minio/minio/blob/master/docs/erasure/storage-class/README.md).
    
    ```
    KEY:
    storage_class  define object level redundancy
    
    ARGS:
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  3. docs/erasure/storage-class/README.md

    `MINIO_STORAGE_CLASS_STANDARD=EC:parity`
    `MINIO_STORAGE_CLASS_RRS=EC:parity`
    
    For example, set `MINIO_STORAGE_CLASS_RRS` parity 2 and `MINIO_STORAGE_CLASS_STANDARD` parity 3
    
    ```sh
    export MINIO_STORAGE_CLASS_STANDARD=EC:3
    export MINIO_STORAGE_CLASS_RRS=EC:2
    ```
    
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  4. docs/distributed/README.md

    ## Why distributed MinIO?
    
    MinIO in distributed mode can help you setup a highly-available storage system with a single object storage deployment. With distributed MinIO, you can optimally use storage devices, irrespective of their location in a network.
    
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  5. README.md

    **Linux CPU**                 | [![Status](https://storage.googleapis.com/tensorflow-kokoro-build-badges/ubuntu-cc.svg)](https://storage.googleapis.com/tensorflow-kokoro-build-badges/ubuntu-cc.html)           | [PyPI](https://pypi.org/project/tf-nightly/)
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  6. Dockerfile.hotfix

          maintainer="MinIO Inc <******@****.***>" \
          version="${RELEASE}" \
          release="${RELEASE}" \
          summary="MinIO is a High Performance Object Storage, API compatible with Amazon S3 cloud storage service." \
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  7. docs/lambda/README.md

    ```
    
    Create a file `testobject` with some test data that will be transformed
    ```
    cat > testobject << EOF
    MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.
    EOF
    ```
    
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  8. Dockerfile.release.old_cpu

          maintainer="MinIO Inc <******@****.***>" \
          version="${RELEASE}" \
          release="${RELEASE}" \
          summary="MinIO is a High Performance Object Storage, API compatible with Amazon S3 cloud storage service." \
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  9. docs/distributed/DESIGN.md

    for an object. Healing is also done per object within the erasure set which contains the object.
    
    - MinIO does erasure coding at the object level not at the volume level, unlike other object storage vendors. This allows applications to choose different storage class by setting `x-amz-storage-class=STANDARD/REDUCED_REDUNDANCY` for each object uploads so effectively utilizing the capacity of the cluster. Additionally these can also be enforced using IAM policies to make sure the client uploads...
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  10. common-protos/k8s.io/api/storage/v1/generated.proto

      // This list might grow, but the prefix will be used.
      // "csi.storage.k8s.io/pod.name": pod.Name
      // "csi.storage.k8s.io/pod.namespace": pod.Namespace
      // "csi.storage.k8s.io/pod.uid": string(pod.UID)
      // "csi.storage.k8s.io/ephemeral": "true" if the volume is an ephemeral inline volume
      //                                 defined by a CSIVolumeSource, otherwise "false"
      //
      // "csi.storage.k8s.io/ephemeral" is a new feature in Kubernetes 1.16. It is only
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