이 표는 Arm 또는 혼합 아키텍처 GKE 클러스터에 배포하는 x86 워크스테이션을 사용하는 개발자에게 적용됩니다. 빌드팩을 사용하여 Arm 이미지를 로컬에서 빌드하는 경우를 제외하면 작업에 나열된 모든 작업은 Arm 및 혼합 아키텍처 GKE 클러스터에 모두 배포할 수 있습니다.
이 표는 Arm 또는 혼합 아키텍처 GKE 클러스터에 배포하는 Arm 워크스테이션을 사용하는 개발자에게 적용됩니다. 작업에 나열된 모든 작업은 빌드팩을 사용하여 Arm 이미지를 로컬로 빌드하는 경우를 제외하면 Arm 및 혼합 아키텍처 GKE 클러스터와 minikube 클러스터에 모두 배포할 수 있습니다.
[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-09-05(UTC)"],[[["\u003cp\u003eCloud Code supports deploying to Arm and mixed-architecture Google Kubernetes Engine (GKE) clusters, as well as minikube clusters.\u003c/p\u003e\n"],["\u003cp\u003eSupport varies based on your workstation, with x86 and Arm workstations having specific capabilities for building and deploying Arm images.\u003c/p\u003e\n"],["\u003cp\u003eMost actions, such as using Jib or Dockerfiles to build Arm images and deploying/debugging applications, are supported on both Arm and mixed-architecture GKE clusters for both x86 and Arm workstations, with some exceptions regarding buildpacks.\u003c/p\u003e\n"],["\u003cp\u003eminikube clusters only support building and running an Arm image if the client machine is also Arm.\u003c/p\u003e\n"],["\u003cp\u003eSkaffold v2 is required for the features described on the page to function properly.\u003c/p\u003e\n"]]],[],null,["# Cloud Code support for Arm and mixed-architecture GKE clusters\n\nThis page outlines Cloud Code's support for deploying to Arm and\nmixed-architecture [Google Kubernetes Engine](/kubernetes-engine) clusters, as well as\n[minikube](https://kubernetes.io/docs/tasks/tools/#minikube) clusters.\n\nTo learn more about Arm workloads, see\n[Managing Arm workloads](https://skaffold.dev/docs/workflows/handling-platforms/).\n| **Warning:** The information on this page applies to [Skaffold v2](https://skaffold.dev/docs/). If you use managed dependencies, you'll already have v2. If you're still using [Skaffold v1](https://skaffold-v1.web.app/docs/) which is no longer actively maintained, the support mentioned on this page may not work as described.\n| **Note:** minikube does not emulate a platform that isn't your client's platform. For example, you can only build and run an Arm image for minikube if you are on an Arm client.\n\nArm and mixed-architecture support tables\n-----------------------------------------\n\nRefer to the following table for support based on the workstation you're\ndeveloping on: \n\n### x86 workstations\n\nThis table refers to developers using x86 workstations which are deploying\nto either Arm or mixed-architecture GKE clusters. All of the actions listed\nunder **Actions** are supported for deployments to both Arm and\nmixed-architecture GKE clusters, except for locally building an Arm image\nusing buildpacks:\n\n| **Note:** Docker Engine on Linux does not come with [QEMU](https://www.qemu.org) emulators installed by default, which is required by [Skaffold](/skaffold)'s use of Docker BuildX for cross-platform builds. To setup QEMU for Docker builds, see the instructions in [Docker BuildX](https://docs.docker.com/buildx/working-with-buildx/#build-multi-platform-images).\n\n### Arm workstations\n\nThis table refers to developers using Arm workstations which are deploying\nto either Arm or mixed-architecture GKE clusters. All of the actions listed\nunder **Actions** are supported for deployments to both Arm and\nmixed-architecture GKE clusters, as well as minikube clusters, except for\nlocally building an Arm image using buildpacks:\n\nTo learn more about how you can specify the platform you want to build your images for and override Skaffold's automatic image building logic, see [Deploy your applications to Arm or mixed-architecture GKE clusters](/code/docs/intellij/deploy-to-arm-amd-mixed-arch).\n\nGet support\n-----------\n\nTo submit feedback or report an issue in your IntelliJ IDE, go to **Tools** \\\u003e **Cloud Code** \\\u003e **Help / About** \\\u003e **Submit\nfeedback or report an issue** to report an issue on [GitHub](https://github.com/GoogleCloudPlatform/cloud-code-intellij/issues)."]]
