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  2. github.com/minio/minio

    docs/bucket/versioning/README.md 

    > NOTE: Server side replication is supported for idempotent versions on delete marked objects.

### Motivation
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  3. github.com/istio/istio

    operator/README.md 

    You can [contribute](../CONTRIBUTING.md) by picking an
[unassigned open issue](https://github.com/istio/istio/issues?q=is%3Aissue+is%3Aopen+label%3Aarea%2Fenvironments%2Foperator+no%3Aassignee),
creating a [bug or feature request](../BUGS-AND-FEATURE-REQUESTS.md),
or just coming to the weekly [Environments Working Group](https://github.com/istio/community/blob/master/WORKING-GROUPS.md)
meeting to share your ideas.
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  4. github.com/minio/minio

    helm/minio/README.md 

    | IMPORTANT |
| -------------------------- |
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  5. github.com/minio/minio

    docs/config/README.md 

    ```
KEY:
etcd  federate multiple clusters for IAM and Bucket DNS

ARGS:
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  6. github.com/minio/minio

    README.md 

    ## Container Installation

Use the following commands to run a standalone MinIO server as a container.

Standalone MinIO servers are best suited for early development and evaluation. Certain features such as versioning, object locking, and bucket replication
require distributed deploying MinIO with Erasure Coding. For extended development and production, deploy MinIO with Erasure Coding enabled - specifically,
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  7. github.com/minio/minio

    docs/bigdata/README.md 

    such as MinIO. MapReduce workloads typically interact with object stores in the same way they do with HDFS. These workloads rely on HDFS atomic rename functionality to complete 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...
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  8. github.com/tiangolo/fastapi

    README.md 

    The key features are:

* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *
* **Fewer bugs**: Reduce about 40% of human (developer) induced errors. *
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