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 cluster, applications need to specify a transition tier defined on MinIO...

* [MinIO Erasure Code QuickStart Guide](https://min.io/docs/minio/container/operations/concepts/erasure-coding.html)...

MinIO FIPS executables are available at <http://dl.min.io> - they are only published for `linux-amd64` architecture as binary files with the suffix `.fips`. We also publish corresponding container images to our official image repositories.

MinIO's erasure coded backend uses high speed [HighwayHash](https://github.com/minio/highwayhash) checksums to protect against Bit Rot.

## How are drives used for Erasure Code?

MinIO server supports storage class in erasure coding mode. This allows configurable data and parity drives per object.

This page is intended as a summary of MinIO Erasure Coding. For a more complete explanation, see <https://min.io/docs/minio/linux/operations/concepts/erasure-coding.html>.

## Overview

## Explore Further

- [MinIO Erasure Code QuickStart Guide](https://min.io/docs/minio/linux/operations/concepts/erasure-coding.html)
- [Kubernetes Documentation](https://kubernetes.io/docs/home/)

# Contributor Covenant Code of Conduct

## Our Pledge

In the interest of fostering an open and welcoming environment, we as
contributors and maintainers pledge to making participation in our project and
our community a harassment-free experience for everyone, regardless of age, body
size, disability, ethnicity, gender identity and expression, level of experience,
nationality, personal appearance, race, religion, or sexual identity and
orientation.

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.

```sh
$ cd minio
$ git remote add upstream https://github.com/minio/minio
$ git fetch upstream
$ git merge upstream/master
...
```

### Create your feature branch

Before making code changes, make sure you create a separate branch for these changes

```
git checkout -b my-new-feature
```

### Test MinIO server changes

After your code changes, make sure

	  token: "Bearer xxxxx" # optional authentication token for the notification endpoint

	retry:
	  attempts: 10 # number of retries for the job before giving up
	  delay: "500ms" # least amount of delay between each retry
```

You can create and run multiple 'replication' jobs at a time there are no predefined limits set.

## Batch Jobs Terminology

### Job