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.

MinIO is built ground up on the cloud-native premise. With features like erasure-coding, distributed and shared setup, it focuses only on storage and does it very well. While, it can be scaled by just replicating MinIO instances per tenant via an orchestration platform....

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
target/

# Jupyter Notebook
.ipynb_checkpoints

# pyenv
.python-version

# celery beat schedule file
celerybeat-schedule

# SageMath parsed files
*.sage.py

        minioClient.makeBucket(MakeBucketArgs.builder().bucket("my-bucketname").build());
        System.out.println("my-bucketname is created successfully");
      }

      boolean isVersioningEnabled =
          minioClient.isVersioningEnabled(
              IsVersioningEnabledArgs.builder().bucket("my-bucketname").build());
      if (isVersioningEnabled) {

    MINIO_CONFIG_ENV_FILE=config.env \
    MC_CONFIG_DIR=/tmp/.mc

COPY --from=build /etc/ssl/certs/ca-certificates.crt /etc/ssl/certs/
COPY --from=build /go/bin/minio /usr/bin/minio
COPY --from=build /go/bin/mc /usr/bin/mc
COPY --from=build /go/bin/cur* /usr/bin/

COPY CREDITS /licenses/CREDITS
COPY LICENSE /licenses/LICENSE

```
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/
```

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.

    MINIO_CONFIG_ENV_FILE=config.env \
    MC_CONFIG_DIR=/tmp/.mc

COPY --from=build /etc/ssl/certs/ca-certificates.crt /etc/ssl/certs/
COPY --from=build /go/bin/minio /usr/bin/minio
COPY --from=build /go/bin/mc /usr/bin/mc
COPY --from=build /go/bin/cur* /usr/bin/

COPY CREDITS /licenses/CREDITS
COPY LICENSE /licenses/LICENSE

the purpose of contributing to a commons of creative, cultural and
scientific works ("Commons") that the public can reliably and without fear
of later claims of infringement build upon, modify, incorporate in other
works, reuse and redistribute as freely as possible in any form whatsoever
and for any purposes, including without limitation commercial purposes.

### **4.2 WordCount**

WordCount is a simple program that counts how often a word occurs in a text file. The code builds a dataset of (String, Int) pairs called counts, and saves the dataset to a file.

The following example submits WordCount code to the Scala shell. Select an input file for the Spark WordCount example. We can use any text file as input.

simultaneously - progress of the syncing can be monitored by looking at `mc replicate resync status alias/bucket --remote-bucket <arn>`. In the event that resync operation failed to replicate some versions, they would be picked up by the healing mechanism in-built as part of the scanner. If the resync operation reports a failed status or in the event of a cluster restart while resync is in progress, a fresh `resync start` can be issued - this will replicate previously unsynced content at the cost of additional...