Mike Morris <******@****.***> 1702326113 -0500

SataQiu <******@****.***> 1702613527 +0800

SataQiu <******@****.***> 1713430345 +0800

```
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

Follow the steps from the Veeam documentation for adding MinIO as an object store - <https://helpcenter.veeam.com/docs/backup/vsphere/adding_s3c_object_storage.html?ver=100>

// is evaluated when the param referred by its perNamespaceParamRef is not found.
// +enum
type ParameterNotFoundActionType string

const (
	// Ignore means that an error finding params for a binding is ignored
	AllowAction ParameterNotFoundActionType = "Allow"
	// Fail means that an error finding params for a binding is ignored
	DenyAction ParameterNotFoundActionType = "Deny"
)

Walter Fender <******@****.***> 1666388165 -0700

Lior Lieberman <******@****.***> 1707338903 +0000

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....

	binding, ok := obj.(*api.Binding)
	if !ok {
		return nil, errors.NewBadRequest(fmt.Sprintf("not a Binding object: %#v", obj))
	}

	if name != binding.Name {
		return nil, errors.NewBadRequest("name in URL does not match name in Binding object")
	}

	// TODO: move me to a binding strategy
	if errs := validation.ValidatePodBinding(binding); len(errs) != 0 {

        # of a shared object that will be loaded whenever `import tensorflow`
        # is run. The natural place is libtensorflow_framework.so.
        # While adding graph_optimization_pass_registration to
        # libtensorflow_framework.so is possible with some modification in
        # dependency, many tests will fail due to multiple copies of LLVM.