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docs/bucket/versioning/README.md
<!-- .. up to 10 prefixes in all --> </VersioningConfiguration> ``` ### Features - Objects matching these prefixes will behave as though versioning were suspended. These objects **will not** be replicated if bucket has replication configured. - Objects matching these prefixes will also not leave `null` delete markers, dramatically reduces namespace pollution while keeping the benefits of replication.
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docs/bucket/replication/README.md
### Interaction with extended Bucket Versioning configuration When Bucket Versioning with excluded prefixes are configured objects matching these prefixes are excluded from being versioned and replicated. ``` <VersioningConfiguration xmlns="http://s3.amazonaws.com/doc/2006-03-01/"> <Status>Enabled</Status>
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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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docs/ftp/README.md
Connected to localhost. sftp> ls runner/ chunkdocs testdir ``` Following example shows how to download an object locally via `sftp` client: ``` sftp> get runner/chunkdocs/metadata metadata Fetching /runner/chunkdocs/metadata to metadata
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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.
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docs/debugging/README.md
### Remotely Inspecting backend data
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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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docs/orchestration/docker-compose/README.md
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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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