// Namespace is the namespace of the action being requested.  Currently, there is no distinction between no namespace and all namespaces
  // "" (empty) is defaulted for LocalSubjectAccessReviews
  // "" (empty) is empty for cluster-scoped resources
  // "" (empty) means "all" for namespace scoped resources from a SubjectAccessReview or SelfSubjectAccessReview
  // +optional
  optional string namespace = 1;

                          - required:
                            - cluster
                      - required:
                        - listener
                      - required:
                        - routeConfiguration
                      - required:
                        - cluster
                      properties:
                        cluster:
                          description: Match on envoy cluster attributes.

shred -s 500M /tmp/data/mpartobj
echo "done"

# Add replication site
./mc admin replicate add minio1 minio2 --insecure
# sleep for replication to complete
sleep 30

# Create bucket in source cluster
echo "Create bucket in source MinIO instance"
./mc mb minio1/test-bucket --insecure

# Load objects to source site with checksum header
echo "Loading objects to source MinIO instance"

shred -s 500M /tmp/data/custpartsize
echo "done"

# Add replication site
./mc admin replicate add minio1 minio2 --insecure
# sleep for replication to complete
sleep 30

# Create bucket in source cluster
echo "Create bucket in source MinIO instance"
./mc mb minio1/test-bucket --insecure

# Enable SSE KMS for the bucket
./mc encrypt set sse-kms minio-default-key minio1/test-bucket --insecure

  repeated FlowSchema items = 2;
}

// FlowSchemaSpec describes how the FlowSchema's specification looks like.
message FlowSchemaSpec {
  // `priorityLevelConfiguration` should reference a PriorityLevelConfiguration in the cluster. If the reference cannot
  // be resolved, the FlowSchema will be ignored and marked as invalid in its status.
  // Required.
  optional PriorityLevelConfigurationReference priorityLevelConfiguration = 1;

  // will be forwarded to.
  optional HTTPIngressRuleValue http = 1;
}

// IngressSpec describes the Ingress the user wishes to exist.
message IngressSpec {
  // IngressClassName is the name of the IngressClass cluster resource. The
  // associated IngressClass defines which controller will implement the
  // resource. This replaces the deprecated `kubernetes.io/ingress.class`

to view the last 1000 `kubelet` logs via the `less` utility to allow for `vi`-style searching:

```console
$ journalctl -t kubelet -n 1000 | less
```

#### GKE via Stackdriver Log Viewer

Each GKE cluster's will have many categories of logs collected by Stackdriver.  Logs can be monitored via
the project's [log viewer](https://cloud.google.com/logging/docs/view/overview) and/or the `gcloud logging read`
capability.

                }
                else {
                    dc = nameServiceClient.getByName(server, possibleWorkgroup);
                }

                req.getSession(); /* ensure session id is set for cluster env. */
                challenge = getTransportContext().getTransportPool().getChallenge(getTransportContext(), dc);
                if ( ( ntlm = NtlmSsp.authenticate(getTransportContext(), req, resp, challenge) ) == null ) {

                } else {
                    dc = UniAddress.getByName( server, possibleWorkgroup );
                }

                req.getSession(); /* ensure session id is set for cluster env. */
                challenge = SmbSession.getChallenge( dc );
                if(( ntlm = NtlmSsp.authenticate( req, resp, challenge )) == null ) {
                    return;
                }

#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/platform/tstring.h"
#include "tensorflow/core/protobuf/cluster.pb.h"
#include "tensorflow/core/protobuf/config.pb.h"
#include "tensorflow/core/protobuf/rewriter_config.pb.h"
#include "tensorflow/core/util/port.h"

using tensorflow::string;
using tensorflow::tstring;