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  1. docs/integrations/veeam/README.md

    - Create a new bucket for VBO backups
    
    ```
    mc mb -l myminio/vbo
    ```
    
    - Under Backup Infrastructure, right click on Object Storage Repositories and choose "Add object storage"
    
    ![Adding Object Storage to VBO Step 1](https://raw.githubusercontent.com/minio/minio/master/docs/integrations/veeam/screenshots/1_add_object_store.png)
    
    - Follow through the wizard as above for Veeam Backup and Replication as the steps are the same between both products
    
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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. 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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  10. docs/orchestration/README.md

    MinIO is built ground up on the cloud-native premise. With features like erasure-coding, distributed and shared setup, it focuses only on storage and does it very well. While, it can be scaled by just replicating MinIO instances per tenant via an orchestration platform.
    
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