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  1. helm/minio/README.md

    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.
    
    | IMPORTANT |
    | -------------------------- |
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  2. README.md

    - [Project Conventions](https://github.com/istio/istio/wiki/Development-Conventions) - describes the conventions we use within the code base
    - [Creating Fast and Lean Code](https://github.com/istio/istio/wiki/Writing-Fast-and-Lean-Code) - performance-oriented advice and guidelines for the code base
    
    You'll find many other useful documents on our [Wiki](https://github.com/istio/istio/wiki).
    
    ## Introduction
    
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  3. docs/integrations/veeam/README.md

    - Since we selected Copy mode when creating the SOBR, the backup will be copied to the capacity tier as soon as it is created on the performance tier.
    
    - For Veeam Backup with Immutability, you can choose a number of restore points or days to make backups immutable.
    
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  4. README.md

    }
    ```
    
    Further examples are on the [OkHttp Recipes page][recipes].
    
    
    Requirements
    ------------
    
    OkHttp works on Android 5.0+ (API level 21+) and Java 8+.
    
    OkHttp depends on [Okio][okio] for high-performance I/O and the [Kotlin standard library][kotlin]. Both are small libraries with strong backward-compatibility.
    
    We highly recommend you keep OkHttp up-to-date. As with auto-updating web browsers, staying current
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  5. docs/config/README.md

    by the `mc admin config set alias/ delay=15.0`. By default the value is `10.0`. This means the scanner will sleep *10x* the time each operation takes.
    
    In most setups this will keep the scanner slow enough to not impact overall system performance. Setting the `delay` key to a *lower* value will make the scanner faster and setting it to 0 will make the scanner run at full speed (not recommended in production). Setting it to a higher value will make the scanner slower, consuming less resources...
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  6. docs/orchestration/kubernetes/README.md

    Deploy MinIO on Kubernetes [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)  [![Docker Pulls](https://img.shields.io/docker/pulls/minio/minio.svg?maxAge=604800)](https://hub.docker.com/r/minio/minio/)
    
    MinIO is a high performance distributed object storage server, designed for large-scale private cloud infrastructure. MinIO is designed in a cloud-native manner to scale sustainably in multi-tenant environments. Orchestration platforms like Kubernetes provide perfect cloud-native...
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  7. README.md

    [![MinIO](https://raw.githubusercontent.com/minio/minio/master/.github/logo.svg?sanitize=true)](https://min.io)
    
    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.
    
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  8. docs/bigdata/README.md

    writing data to the datastore. Object storage operations are atomic by nature and they do not require/implement rename API. The default S3A committer emulates renames through copy and delete APIs. This interaction pattern causes significant loss of performance because of the write amplification. _Netflix_, for example, developed two new staging committers - the Directory staging committer and the Partitioned staging committer - to take full advantage of native object storage operations. These committers...
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  9. 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
    ```
    
    Upload this object to the bucket via `mc cp`
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  10. docs/compression/README.md

    which is a fitness factor for a lossless data compression.
    
    Pre-compressed input typically compresses in excess of 2GiB/s per core,
    so performance impact should be minimal even if precompressed data is re-compressed.
    Decompressing incompressible data has no significant performance impact.
    
    Below is a list of common files and content-types which are typically not suitable for compression.
    
    - Extensions
    
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