# Kubernetes Engine

When you run a GKE cluster, you also gain the benefit of advanced cluster management features that Google Cloud provides. These include:

* Load balancing for Compute Engine instances
* Node pools to designate subsets of nodes within a cluster for additional flexibility
* Automatic scaling of your cluster's node instance count
* Automatic upgrades for your cluster's node software
* Node auto-repair to maintain node health and availability
* Logging and Monitoring with Cloud Monitoring for visibility into your cluster

A cluster consists of at least one **cluster master** machine and multiple worker machines called **nodes**. Nodes are Compute Engine virtual machine (VM) instances that run the Kubernetes processes necessary to make them part of the cluster.

#### To **create a cluster**

```
gcloud container clusters create [CLUSTER-NAME]
```

**After creating your cluster, you need authentication credentials to interact with it.** \
**To authenticate the cluster**

```
gcloud container clusters get-credentials [CLUSTER-NAME]
```

#### To **create a Kubernetes Service**, which is a Kubernetes resource that lets you expose your application to external traffic

```
kubectl expose deployment hello-server \
--type=LoadBalancer \
--port 8080
```

In this command:

* `--port` specifies the port that the container exposes.
* `type="LoadBalancer"` creates a Compute Engine load balancer for your container.

#### To **delete** the cluster

```
gcloud container clusters delete [CLUSTER-NAME]
```

#### Commands

```
gcloud container clusters create learning-cluster
```

```
gcloud container clusters get-credentials learning-cluster
```

```
kubectl create deployment hello-server --image=gcr.io/google-samples/hello-app:1.0
```

```
kubectl expose deployment hello-server --type=LoadBalancer --port 8080
```

```
kubectl get service
```

```
gcloud container clusters delete learning-cluster
```


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