} else {
			reason = string(k8s.GatewayReasonAddressNotUsable)
		}
		gatewayConditions[string(k8s.GatewayConditionProgrammed)].error = &ConfigError{
			// TODO: this only checks Service ready, we should also check Deployment ready?
			Reason:  reason,
			Message: msg,
		}
	}
	obj.Status.(*kstatus.WrappedStatus).Mutate(func(s config.Status) config.Status {
		gs := s.(*k8s.GatewayStatus)
		addressesToReport := external

build:android_x86_64 --config=android
build:android_x86_64 --cpu=x86_64
build:android_x86_64 --fat_apk_cpu=x86_64

# Build everything statically for Android since all static libs are later
# bundled together into a single .so for deployment.
build:android --dynamic_mode=off

# Sets the default Apple platform to macOS.
build:macos --apple_platform_type=macos

# gRPC on MacOS requires this #define
build:macos --copt=-DGRPC_BAZEL_BUILD

		return false, toAPIError(ctx, BucketRemoteTargetNotFound{Bucket: bucket})
	}
	return sameTarget, toAPIError(ctx, nil)
}

// performs a http request to remote endpoint to check if deployment id of remote endpoint is same as
// local cluster deployment id. This is to prevent replication to self, especially in case of a loadbalancer
// in front of MinIO.
func checkRemoteEndpoint(ctx context.Context, epURL *url.URL) error {
	reqURL := &url.URL{

      port: 3000
      protocol: TCP
      targetPort: 3000
  selector:
    app.kubernetes.io/name: grafana
    app.kubernetes.io/instance: grafana
---
# Source: grafana/templates/deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: grafana
  namespace: istio-system
  labels:
    helm.sh/chart: grafana-8.0.1
    app.kubernetes.io/name: grafana
    app.kubernetes.io/instance: grafana

- Pods which set `hostNetwork: true` and declare ports, get the `hostPort` field set automatically. Previously this would happen in the PodTemplate of a Deployment, DaemonSet or other workload API.  Now `hostPort` will only be set when an actual Pod is being created.  If this presents a problem, setting the feature gate "DefaultHostNetworkHostPortsInPodTemplates" to true will revert this behavior.  Please...

		r, err := printComponentStatus(&list.Items[i], options)
		if err != nil {
			return nil, err
		}
		rows = append(rows, r...)
	}
	return rows, nil
}

func printDeployment(obj *apps.Deployment, options printers.GenerateOptions) ([]metav1.TableRow, error) {
	row := metav1.TableRow{
		Object: runtime.RawExtension{Object: obj},
	}
	desiredReplicas := obj.Spec.Replicas

- Migrated the `Deployment` controller (within `kube-controller-manager`) to use [contextual logging](https://k8s.io/docs/concepts/cluster-administration/system-logs/#contextual-logging) ([#113525](https://github.com/kubernetes/kubernetes/pull/113525), [@249043822](https...

### Documentation

- Added descriptions and examples for the situation of using `kubectl rollout restart` without specifying a particular deployment. ([#120118](https://github.com/kubernetes/kubernetes/pull/120118), [@Ithrael](https://github.com/Ithrael))

Class <org.gradle.internal.deployment.JavaApplicationHandle> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (JavaApplicationHandle.java:0)
Class <org.gradle.internal.deployment.RunApplication> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (RunApplication.java:0)

## Major Features and Improvements

TensorFlow 2.0 focuses on **simplicity** and **ease of use**, featuring updates
like:

*   Easy model building with Keras and eager execution.
*   Robust model deployment in production on any platform.
*   Powerful experimentation for research.
*   API simplification by reducing duplication and removing deprecated
    endpoints.

For details on best practices with 2.0, see