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  1. docs/orchestration/README.md

    While containers provide isolated application execution environment, orchestration platforms allow seamless scaling by helping replicate and manage containers. MinIO extends this by adding isolated storage environment for each tenant.
    
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  2. docs/batch-jobs/README.md

    # MinIO Batch Job
    MinIO Batch jobs is an MinIO object management feature that lets you manage objects at scale. Jobs currently supported by MinIO
    
    - Replicate objects between buckets on multiple sites
    
    Upcoming Jobs
    
    - Copy objects from NAS to MinIO
    - Copy objects from HDFS to MinIO
    
    ## Replication Job
    To perform replication via batch jobs, you create a job. The job consists of a job description YAML that describes
    
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  3. docs/multi-user/README.md

    Create new canned policy file `getonly.json`. This policy enables users to download all objects under `my-bucketname`.
    
    ```json
    cat > getonly.json << EOF
    {
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  4. docs/bucket/lifecycle/README.md

    such as GCS, AWS and Azure as well as to other MinIO clusters via the ILM transition feature. This will allow transitioning of older objects to a different cluster or the public cloud by setting up transition rules in the bucket lifecycle configuration. This feature enables applications to optimize storage costs by moving less frequently accessed data to a cheaper storage without compromising accessibility of data.
    
    To transition objects in a bucket to a destination bucket on a different...
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  5. docs/metrics/prometheus/README.md

    ## List of metrics exposed by MinIO
    
    - MinIO exports Prometheus compatible data by default as an authorized endpoint at `/minio/v2/metrics/cluster`. 
    - MinIO exports Prometheus compatible data by default which is bucket centric as an authorized endpoint at `/minio/v2/metrics/bucket`.
    - MinIO exports Prometheus compatible data by default which is node centric as an authorized endpoint at `/minio/v2/metrics/node`.
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  6. docs/bucket/retention/README.md

    # Object Lock and Immutablity Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)
    
    MinIO server allows WORM for specific objects or by configuring a bucket with default object lock configuration that applies default retention mode and retention duration to all objects. This makes objects in the bucket immutable i.e. delete of the version are not allowed until an expiry specified in the bucket's object lock configuration or object retention.
    
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  7. internal/grid/README.md

                    out <- []byte("response")
    
                    // Return the request for reuse
                    grid.PutByteBuffer(req)
                }
            }
            // out is closed by the caller and should never be closed by the handler.
            return nil
        }
    
        err := manager.RegisterStreamingHandler(grid.HandlerDiskInfo, StreamHandler{
            Handle: handler,
            Subroute: "asubroute",
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  8. docs/tls/kubernetes/README.md

    ## 3. Update deployment yaml file
    
    Whether you are planning to use Kubernetes StatefulSet or Kubernetes Deployment, the steps remain the same.
    
    If you're using certificates provided by a CA, add the below section in your yaml file under `spec.volumes[]`
    
    ```yaml
        volumes:
          - name: secret-volume
            secret:
              secretName: tls-ssl-minio
              items:
              - key: public.crt
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  9. docs/kms/README.md

    MinIO uses a key-management-system (KMS) to support SSE-S3. If a client requests SSE-S3, or auto-encryption is enabled, the MinIO server encrypts each object with an unique object key which is protected by a master key managed by the KMS.
    
    ## Quick Start
    
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  10. docs/docker/README.md

    MinIO needs a persistent volume to store configuration and application data. For testing purposes, you can launch MinIO by simply passing a directory (`/data` in the example below). This directory gets created in the container filesystem at the time of container start. But all the data is lost after container exits.
    
    ```sh
    docker run \
      -p 9000:9000 \
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