## What is Bit Rot protection?

Bit Rot, also known as data rot or silent data corruption is a data loss issue faced by disk drives today. Data on the drive may silently get corrupted without signaling an error has occurred, making bit rot more dangerous than a permanent hard drive failure.

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?

```

> NOTE: For Veeam Backup with Immutability, create the bucket with object lock enabled, e.g.,

```
mc mb -l myminio/veeambackup
```

> Object locking requires erasure coding enabled on the minio server. For more information see <https://min.io/docs/minio/linux/operations/concepts/erasure-coding.html>.

### Add MinIO as an object store for Veeam

bucket, you must add a noncurrent expiration policy. The noncurrent expiration lifecycle policy will manage the deletes of the noncurrent object versions in the versioning-enabled bucket. (A version-enabled bucket maintains one current and zero or more noncurrent object versions.)

Versioning must be explicitly enabled on a bucket, versioning is not enabled by default. Object locking enabled buckets have versioning enabled automatically. Enabling and suspending versioning is done at the bucket...

We will enable bucket event notification to trigger whenever a JPEG image is uploaded or deleted `images` bucket on `myminio` server. Here ARN value is `arn:minio:sqs::1:amqp`. To understand more about ARN please follow [AWS ARN](http://docs.aws.amazon.com/general/latest/gr/aws-arns-and-namespaces.html) documentation.

```
mc mb myminio/images
mc event add myminio/images arn:minio:sqs::1:amqp --suffix .jpg

with a *minimum* of 4 drives per MinIO server. See [MinIO Erasure Code Overview](https://min.io/docs/minio/linux/operations/concepts/erasure-coding.html)
for more complete documentation.

### Stable

Run the following command to run the latest stable image of MinIO as a container using an ephemeral data volume:

```sh
podman run -p 9000:9000 -p 9001:9001 \

- Liveness probe available at `/minio/health/live`
- Cluster probe available at `/minio/health/cluster`

Read more on how to use these endpoints in [MinIO healthcheck guide](https://github.com/minio/minio/blob/master/docs/metrics/healthcheck/README.md).

## Prometheus Probe

    "s3:ReplicateDelete"
   ],
   "Resource": [
    "arn:aws:s3:::destbucket/*"
   ]
  }
 ]
}
```

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.

This means that in cases where raw IO is below these numbers

For example, an 16-server distributed setup with 200 drives per node would continue serving files, up to 4 servers can be offline in default configuration i.e around 800 drives down MinIO would continue to read and write objects.

* There are 4 minio distributed instances created by default. You can add more MinIO services (up to total 16) to your MinIO Compose deployment. To add a service
  * Replicate a service definition and change the name of the new service appropriately.
  * Update the command section in each service.
  * Add a new MinIO server instance to the upstream directive in the Nginx configuration file.