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  1. docs/chroot/README.md

    Chroot allows user based namespace isolation on many standard Linux deployments.
    
    ## 1. Prerequisites
    
    - Familiarity with [chroot](http://man7.org/linux/man-pages/man2/chroot.2.html)
    - Chroot installed on your machine.
    
    ## 2. Install MinIO in Chroot
    
    ```sh
    mkdir -p /mnt/export/${USER}/bin
    wget https://dl.min.io/server/minio/release/linux-amd64/minio -O /mnt/export/${USER}/bin/minio
    chmod +x /mnt/export/${USER}/bin/minio
    ```
    
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  2. docs/integrations/veeam/README.md

    ### Create a backup job
    
    #### Backup Virtual Machines with Veeam Backup and Replication
    
    - Under Home > Jobs > Backup in Navigation Pane, click on Backup Job button in the ribbon and choose Virtual Machine. Follow the on screen wizard.
    
    - On the Storage screen, choose the Scale-out Backup Repository that was configured previously.
    
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  3. docs/docker/README.md

    See our web documentation on [Deploying MinIO in Standalone Mode](Deploy Standalone MinIO in a Container) for a more structured tutorial on deploying MinIO in a container.
    
    ## Prerequisites
    
    Docker installed on your machine. Download the relevant installer from [here](https://www.docker.com/community-edition#/download).
    
    ## Run Standalone MinIO on Docker
    
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  4. docs/multi-tenancy/README.md

    1. [Standalone Deployment](#standalone-deployment)
    2. [Distributed Deployment](#distributed-deployment)
    3. [Cloud Scale Deployment](#cloud-scale-deployment)
    
    ## 1. Standalone Deployment
    
    To host multiple tenants on a single machine, run one MinIO Server per tenant with a dedicated HTTPS port, configuration, and data directory.
    
    ### 1.1 Host Multiple Tenants on a Single Drive
    
    Use the following commands to host 3 tenants on a single drive:
    
    ```sh
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  5. README.md

     * HTTP/2 support allows all requests to the same host to share a socket.
     * Connection pooling reduces request latency (if HTTP/2 isn’t available).
     * Transparent GZIP shrinks download sizes.
     * Response caching avoids the network completely for repeat requests.
    
    OkHttp perseveres when the network is troublesome: it will silently recover from common connection
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  6. doc/README.md

    the CL (or ask the author to do so).
    
    At the end of the development cycle, the files will be merged by being
    concatenated in sorted order by pathname. Files in the directory matching the
    glob "*stdlib/*minor" are treated specially. They should be in subdirectories
    corresponding to standard library package paths, and headings for those package
    paths will be generated automatically.
    
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  7. docs/lambda/README.md

    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
    ```
    
    Upload this object to the bucket via `mc cp`
    ```
    mc cp testobject myminio/functionbucket/
    ```
    
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  8. docs/orchestration/docker-compose/README.md

    ## 1. Prerequisites
    
    * Familiarity with [Docker Compose](https://docs.docker.com/compose/overview/).
    * Docker installed on your machine. Download the relevant installer from [here](https://www.docker.com/community-edition#/download).
    
    ## 2. Run Distributed MinIO on Docker Compose
    
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  9. docs/compression/README.md

    MinIO uses [`klauspost/compress/s2`](https://github.com/klauspost/compress/tree/master/s2)
    streaming compression due to its stability and performance.
    
    This algorithm is specifically optimized for machine generated content.
    Write throughput is typically at least 500MB/s per CPU core,
    and scales with the number of available CPU cores.
    Decompression speed is typically at least 1GB/s.
    
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  10. ci/official/README.md

        -   Uses `pycpp.sh`, `code_check_changed_files.sh`
    
    These "env" files match up with an environment matrix that roughly covers:
    
    -   Different Python versions
    -   Linux, MacOS, and Windows machines (these pool definitions are internal)
    -   x86 and arm64
    -   CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs
    
    ## How to Test Your Changes to TensorFlow
    
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