Produk yang dijelaskan dalam dokumentasi ini, Cluster Anthos di AWS (generasi sebelumnya), kini berada dalam mode pemeliharaan. Semua penginstalan baru harus menggunakan produk generasi saat ini, cluster Anthos di AWS.
Untuk terhubung ke resource GKE di AWS, lakukan langkah-langkah
berikut. Pilih apakah Anda memiliki VPC AWS yang sudah ada (atau koneksi langsung ke VPC Anda) atau membuat VPC khusus saat membuat layanan pengelolaan.
VPC yang ada
Jika Anda memiliki koneksi langsung atau VPN ke VPC yang ada, hapus baris
env HTTP_PROXY=http://localhost:8118 dari perintah dalam topik ini.
VPC Khusus
Saat Anda membuat layanan pengelolaan di VPC khusus, GKE di AWS menyertakan host bastion di subnet publik.
Untuk terhubung ke layanan pengelolaan, lakukan langkah-langkah berikut:
Untuk membuka tunnel, jalankan skrip bastion-tunnel.sh. Tunnel meneruskan
ke localhost:8118.
Untuk membuka tunnel ke bastion host, jalankan perintah berikut:
./bastion-tunnel.sh-N
Pesan dari tunnel SSH akan muncul di jendela ini. Saat Anda siap untuk
menutup koneksi, hentikan proses dengan menggunakan Control+C atau
menutup jendela.
Buka terminal baru dan ubah ke direktori anthos-aws Anda.
cd anthos-aws
Pastikan Anda dapat terhubung ke cluster dengan kubectl.
Di bagian Edit container, pilih Existing container image untuk memilih
image container yang tersedia dari Container Registry. Isi Jalur image
dengan image container yang ingin Anda gunakan
dan versinya. Untuk panduan memulai ini, gunakan nginx:latest.
Klik Selesai, lalu klik Lanjutkan. Layar Konfigurasi
akan muncul.
Anda dapat mengubah Nama aplikasi dan Namespace Kubernetes Deployment. Untuk panduan memulai ini, Anda dapat menggunakan
nama aplikasi nginx-1 dan namespace default
Dari menu drop-down Cluster, pilih cluster pengguna Anda. Secara
default, cluster pengguna pertama Anda diberi nama cluster-0.
Klik Deploy. GKE di AWS meluncurkan Deployment NGINX Anda.
Layar Deployment details akan muncul.
Mengekspos pod Anda
Bagian ini menunjukkan cara melakukan salah satu hal berikut:
Ekspos Deployment Anda secara internal di cluster Anda dan konfirmasi bahwa Deployment tersebut tersedia dengan kubectl port-forward.
Mengekspos Deployment Anda dari konsol Google Cloud ke alamat yang diizinkan oleh
grup keamanan node pool Anda.
kubectl
Ekspos port 80 Deployment ke cluster dengan kubectl expose.
Dari layar Deployment details, klik Expose. Layar
Mengekspos deployment akan muncul.
Di bagian Port mapping, biarkan port default (80), lalu
klik Done.
Untuk Service type, pilih Load balancer. Untuk mengetahui informasi selengkapnya tentang opsi lain, lihat Memublikasikan layanan (ServiceTypes) dalam dokumentasi Kubernetes.
Klik link untuk External Endpoints. Jika load balancer sudah siap, halaman web NGINX default akan muncul.
Melihat Deployment di konsol Google Cloud
Jika cluster Anda
terhubung ke Google Cloud konsol,
Anda dapat melihat Deployment di halaman GKE Workloads. Untuk melihat
workload Anda, lakukan langkah-langkah berikut:
Anda dapat menggunakan jenis Beban Kerja Kubernetes lainnya dengan GKE di AWS.
Lihat dokumentasi GKE untuk mengetahui informasi selengkapnya tentang
Men-deploy workload.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-07-31 UTC."],[],[],null,["# Quickstart\n\nThis topic shows you how to create a workload on GKE on AWS\nand expose it internally to your cluster.\n\nBefore you begin\n----------------\n\n\nBefore you start using GKE on AWS, make sure you have performed the following tasks:\n\n- Complete the [Prerequisites](/kubernetes-engine/multi-cloud/docs/aws/previous-generation/how-to/prerequisites).\n\n\u003c!-- --\u003e\n\n- Install a [management service](/kubernetes-engine/multi-cloud/docs/aws/previous-generation/how-to/installing-management).\n- Create a [user cluster](/kubernetes-engine/multi-cloud/docs/aws/previous-generation/how-to/creating-user-cluster).\n- From your `anthos-aws` directory, use `anthos-gke` to switch context to your user cluster. \n\n ```sh\n cd anthos-aws\n env HTTPS_PROXY=http://localhost:8118 \\\n anthos-gke aws clusters get-credentials CLUSTER_NAME\n ```\n Replace \u003cvar translate=\"no\"\u003eCLUSTER_NAME\u003c/var\u003e with your user cluster name.\n\nYou can perform these steps with `kubectl`, or with the Google Cloud console if you\nhave\n[Authenticated with Connect](/kubernetes-engine/multi-cloud/docs/aws/previous-generation/how-to/connecting-to-a-cluster).\nIf you are using the Google Cloud console, skip to\n[Launch an NGINX Deployment](#launch_an_nginx_deployment).\n\nTo connect to your GKE on AWS resources, perform the following\nsteps. Select if you have an existing AWS VPC (or direct connection to\nyour VPC) or created a dedicated VPC when creating your management service. \n\n### Existing VPC\n\nIf you have a direct or VPN connection to an existing VPC, omit the line\n`env HTTP_PROXY=http://localhost:8118` from commands in this topic.\n\n### Dedicated VPC\n\nWhen you create a management service in a dedicated VPC,\nGKE on AWS includes a\n[bastion](https://en.wikipedia.org/wiki/Bastion_host) host in a\npublic subnet.\n| **Important:** If you restart your terminal session or the SSH connection is lost, you need to re-launch the `bastion-tunnel.sh` script.\n\nTo connect to your management service, perform the following steps:\n\n1. Change to the directory with your GKE on AWS configuration.\n You created this directory when\n [Installing the management service](/kubernetes-engine/multi-cloud/docs/aws/previous-generation/how-to/installing-management).\n\n ```sh\n cd anthos-aws\n ```\n\n \u003cbr /\u003e\n\n2. To open the tunnel, run the `bastion-tunnel.sh` script. The tunnel forwards\n to `localhost:8118`.\n\n To open a tunnel to the bastion host, run the following command: \n\n ./bastion-tunnel.sh -N\n\n Messages from the SSH tunnel appear in this window. When you are ready to\n close the connection, stop the process by using \u003ckbd\u003eControl+C\u003c/kbd\u003e or\n closing the window.\n3. Open a new terminal and change into your `anthos-aws` directory.\n\n ```sh\n cd anthos-aws\n ```\n4. Check that you're able to connect to the cluster with `kubectl`.\n\n env HTTPS_PROXY=http://localhost:8118 \\\n kubectl cluster-info\n\n The output includes the URL for the management service API server.\n\nLaunch an NGINX Deployment\n--------------------------\n\nIn this section, you create a\n[Deployment](https://kubernetes.io/docs/concepts/workloads/controllers/deployment/)\nof the NGINX webserver named `nginx-1`. \n\n### kubectl\n\n1. Use `kubectl create` to create the Deployment.\n\n env HTTPS_PROXY=http://localhost:8118 \\\n kubectl create deployment --image nginx nginx-1\n\n2. Use `kubectl` to get the status of the Deployment. Note the Pod's `NAME`.\n\n env HTTPS_PROXY=http://localhost:8118 \\\n kubectl get deployment\n\n### Console\n\nTo launch a NGINX Deployment with the Google Cloud console, perform the\nfollowing steps:\n\n1. Visit the GKE Workloads menu in\n Google Cloud console.\n\n [Visit the Workloads menu](https://console.cloud.google.com/kubernetes/workload)\n2. Click **Deploy**.\n\n3. Under **Edit container** , select **Existing container image** to choose\n a container image available from Container Registry. Fill **Image path**\n with the container image that you want to use\n and its version. For this quickstart, use `nginx:latest`.\n\n4. Click **Done** , and then click **Continue** . The **Configuration**\n screen appears.\n\n5. You can change your Deployment's **Application name** and\n Kubernetes **Namespace** . For this quickstart, you can use\n the application name `nginx-1` and namespace `default`\n\n6. From the **Cluster** drop-down menu, select your user cluster. By\n default, your first user cluster is named `cluster-0`.\n\n7. Click **Deploy** . GKE on AWS launches your NGINX Deployment.\n The **Deployment details** screen appears.\n\n### Exposing your pods\n\nThis section shows how to do one of the following:\n\n- Expose your Deployment internally in your cluster and confirm it is available\n with `kubectl port-forward`.\n\n- Expose your Deployment from the Google Cloud console to the addresses allowed by\n your node pool [security group](/kubernetes-engine/multi-cloud/docs/aws/previous-generation/reference/security-groups).\n\n### kubectl\n\n1. Expose port 80 the Deployment to the cluster with `kubectl expose`.\n\n env HTTPS_PROXY=http://localhost:8118 \\\n kubectl expose deployment nginx-1 --port=80\n\n The Deployment is now accessible from within the cluster.\n2. Forward port `80` on the Deployment to port `8080` on your local machine\n with `kubectl port-forward`.\n\n env HTTPS_PROXY=http://localhost:8118 \\\n kubectl port-forward deployment/nginx-1 8080:80\n\n3. Connect to `http://localhost:8080` with `curl` or your web browser.\n The default NGINX web page appears.\n\n curl http://localhost:8080\n\n### Console\n\n1. Visit the GKE Workloads menu in Google Cloud console.\n\n [Visit the Workloads menu](https://console.cloud.google.com/kubernetes/workload)\n2. From the **Deployment details** screen, click **Expose** . The\n **Expose a deployment** screen appears.\n\n3. In the **Port mapping** section, leave the default port (`80`), and\n click **Done**.\n\n4. For **Service type** , select **Load balancer** . For more information\n on other options, see\n [Publishing services (ServiceTypes)](https://kubernetes.io/docs/concepts/services-networking/service/#publishing-services-service-types)\n in the Kubernetes documentation.\n\n5. Click **Expose** . The **Service details** screen appears.\n GKE on AWS creates a\n [Classic Elastic Load Balancer](https://docs.aws.amazon.com/elasticloadbalancing/latest/classic/introduction.html)\n for the Service.\n\n | **Note:** Creating the load balancer takes several minutes. The hostname appears before you are able to access the deployment.\n6. Click on the link for **External Endpoints**. If the load balancer is\n ready, the default NGINX web page appears.\n\n### View your Deployment on Google Cloud console\n\nIf your cluster is\n[connected to Google Cloud console](/kubernetes-engine/multi-cloud/docs/aws/previous-generation/how-to/connecting-to-a-cluster),\nyou can view your Deployment in the GKE Workloads page. To view\nyour workload, perform the following steps:\n\n1. In your browser, visit the Google Kubernetes Engine [Workloads page](https://console.cloud.google.com/kubernetes/workload).\n\n [Visit the Google Kubernetes Engine Workloads page](https://console.cloud.google.com/kubernetes/workload)\n\n The list of Workloads appears.\n2. Click the name of your workload, `nginx-1`. The **Deployment details**\n screen appears.\n\n3. From this screen, you can get details on your Deployment; view and edit YAML\n configuration; and take other Kubernetes actions.\n\nFor more information on options available from this page, see\n[Deploying a stateless application](/kubernetes-engine/docs/how-to/stateless-apps#console)\nin the GKE documentation.\n\n### Cleanup\n\nTo delete your NGINX Deployment, use `kubectl delete` or the Google Cloud console. \n\n### kubectl\n\n env HTTPS_PROXY=http://localhost:8118 \\\n kubectl delete service nginx-1 &&\\\n kubectl delete deployment nginx-1\n\n### Console\n\n1. Visit the Services and Ingress page menu on the Google Cloud console.\n\n [Visit the Services and Ingress page](https://console.cloud.google.com/kubernetes/discovery)\n2. Find your NGINX Service and click its **Name** . By default, the name\n is `nginx-1-service`. The **Service details** screen appears.\n\n3. Click delete\n **Delete** and confirm that you want to delete the Service.\n GKE on AWS deletes the load balancer.\n\n4. Visit the Google Kubernetes Engine [Workloads page](https://console.cloud.google.com/kubernetes/workload).\n\n [Visit the Google Kubernetes Engine Workloads page](https://console.cloud.google.com/kubernetes/workload)\n\n The list of Workloads appears.\n5. Click the name of your workload, `nginx-1`. The **Deployment details**\n screen appears.\n\n6. Click delete\n **Delete** and confirm that you want to delete the Deployment.\n GKE on AWS deletes the Deployment.\n\nWhat's next?\n------------\n\nCreate an internal or external load balancer using one of the following Services:\n\n- [AWS Classic and Network Load balancer](/kubernetes-engine/multi-cloud/docs/aws/previous-generation/how-to/loadbalancer)\n- [AWS Application Load Balancer](/kubernetes-engine/multi-cloud/docs/aws/previous-generation/how-to/loadbalancer-alb)\n- [Ingress with Cloud Service Mesh](/kubernetes-engine/multi-cloud/docs/aws/previous-generation/how-to/ingress)\n\nYou can use other types of Kubernetes Workloads with GKE on AWS.\nSee the GKE documentation for more information on\n[Deploying workloads](/kubernetes-engine/docs/how-to/deploying-workloads-overview)."]]
