// admission webhook name (e.g. imagepolicy.example.com/error=image-blacklisted). AuditAnnotations will be provided by
  // the admission webhook to add additional context to the audit log for this request.
  // +optional
  map<string, string> auditAnnotations = 6;

  // warnings is a list of warning messages to return to the requesting API client.

  // admission webhook name (e.g. imagepolicy.example.com/error=image-blacklisted). AuditAnnotations will be provided by
  // the admission webhook to add additional context to the audit log for this request.
  // +optional
  map<string, string> auditAnnotations = 6;

  // warnings is a list of warning messages to return to the requesting API client.

running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

* Introduce truncating audit backend that can be enabled by passing --audit-log-truncate-enabled or --audit-webhook-truncate-enabled flag to the apiserver to limit the size of individual audit events and batches of events. ([#64024](https://github.com/kubernetes/kubernetes/pull/64024), [@loburm](https://github.com/loburm))

			}
			traceFn := globalLifecycleSys.trace(oi)
			// Note: NewerNoncurrentVersions action is performed only scanner today
			tags := newLifecycleAuditEvent(lcEventSrc_Scanner, lcEvent).Tags()

			// Send audit for the lifecycle delete operation
			auditLogLifecycle(
				ctx,
				oi,
				ILMExpiry, tags, traceFn)

			evArgs := eventArgs{
				EventName:  event.ObjectRemovedDelete,
				BucketName: bucket,

		if _, err := xnet.ParseHost(b.String()); err != nil {
			return err
		}
	}
	return nil
}

// Name returns the name of the target
func (h *Target) Name() string {
	return "minio-kafka-audit"
}

// Endpoint - return kafka target
func (h *Target) Endpoint() string {
	return "kafka"
}

// String - kafka string
func (h *Target) String() string {
	return "kafka"
}

	} else {
		transitionLogIf(ctx, err)
	}

	// Now, delete object from hot-tier namespace
	if _, err := objectAPI.DeleteObject(ctx, oi.Bucket, oi.Name, opts); err != nil {
		return err
	}

	// Send audit for the lifecycle delete operation
	defer auditLogLifecycle(ctx, *oi, ILMExpiry, tags, traceFn)

	eventName := event.ObjectRemovedDelete
	if oi.DeleteMarker {
		eventName = event.ObjectRemovedDeleteMarkerCreated
	}

bernetes.io/docs/reference/generated/kubernetes-api/v1.13/#tokenreview-v1-authentication-k8s-io) for the new tokens for improved scoping. Under audit logging, the new alpha-level "dynamic audit configuration" adds support for [dynamically registering webhooks to receive a stream of audit events](https://kubernetes.io/docs/tasks/debug/debug-cluster/audit/#webhook-backend). Finally, we've enhanced secrets protection by graduating [etcd encryption](https://kubernetes.io/docs/tasks/administer-cluster/encrypt-data/)...

* audit.k8s.io api group is upgraded from v1beta1 to v1. ([#65891](https://github.com/kubernetes/kubernetes/pull/65891), [@CaoShuFeng](https://github.com/CaoShuFeng))
    * Deprecated element metav1.ObjectMeta and Timestamp are removed from audit Events in v1 version.
    * Default value of option --audit-webhook-version and --audit-log-version will be changed from `audit.k8s.io/v1beta1` to `audit.k8s.io/v1` in release 1.13

	// Some standard content-types which we strictly dis-allow for compression.
	standardExcludeCompressContentTypes = []string{"video/*", "audio/*", "application/zip", "application/x-gzip", "application/x-zip-compressed", " application/x-compress", "application/x-spoon"}

	// AuthZ Plugin system.
	globalAuthZPlugin *polplugin.AuthZPlugin