컬렉션을 사용해 정리하기
내 환경설정을 기준으로 콘텐츠를 저장하고 분류하세요.
Google Kubernetes Engine 문서
Google Cloud에서 제공하는 Kubernetes에서 컨테이너화된 애플리케이션을 배포, 관리, 확장합니다.
자세히 알아보기
GKE 직접 사용해 보기
계정을 만들어 Google 제품의 실제 성능을 평가해 보세요.
신규 고객에게는 워크로드를 실행, 테스트, 배포하는 데 사용할 수 있는 $300의 무료 크레딧이 제공됩니다.
GKE 무료로 사용해 보기
달리 명시되지 않는 한 이 페이지의 콘텐츠에는 Creative Commons Attribution 4.0 라이선스에 따라 라이선스가 부여되며, 코드 샘플에는 Apache 2.0 라이선스에 따라 라이선스가 부여됩니다. 자세한 내용은 Google Developers 사이트 정책을 참조하세요. 자바는 Oracle 및/또는 Oracle 계열사의 등록 상표입니다.
최종 업데이트: 2024-11-22(UTC)
[[["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: 2024-11-22(UTC)"],[],[],null,["# Google Kubernetes Engine documentation\n======================================\n\n[Read product documentation](/kubernetes-engine/docs/concepts/kubernetes-engine-overview)\nDeploy, manage, and scale containerized applications on Kubernetes, powered by Google Cloud.\n[Learn more](/kubernetes-engine/docs/concepts/kubernetes-engine-overview)\n[Get started for free](https://console.cloud.google.com/freetrial) \n\n#### Start your proof of concept with $300 in free credit\n\n- Get access to Gemini 2.0 Flash Thinking\n- Free monthly usage of popular products, including AI APIs and BigQuery\n- No automatic charges, no commitment \n[View free product offers](/free/docs/free-cloud-features#free-tier) \n\n#### Keep exploring with 20+ always-free products\n\n\nAccess 20+ free products for common use cases, including AI APIs, VMs, data warehouses,\nand more.\n\nDocumentation resources\n-----------------------\n\nFind quickstarts and guides, review key references, and get help with common issues. \nformat_list_numbered\n\n### Guides\n\n-\n\n [Quickstart: Create a cluster and deploy a workload](/kubernetes-engine/docs/quickstarts/create-cluster)\n\n-\n\n [Configuring cluster access for kubectl](/kubernetes-engine/docs/how-to/cluster-access-for-kubectl)\n\n-\n\n [Access Google Cloud APIs from GKE workloads](/kubernetes-engine/docs/how-to/workload-identity)\n\n-\n\n [GKE security documentation](/kubernetes-engine/docs/concepts/security-overview)\n\n-\n\n [GKE networking documentation](/kubernetes-engine/docs/concepts/network-overview)\n\ninfo\n\n### AI/ML on GKE tutorials\n\n-\n\n [AI/ML orchestration on GKE](/kubernetes-engine/docs/integrations/ai-infra)\n\n-\n\n [Core concept: About GPUs in GKE](/kubernetes-engine/docs/concepts/gpus)\n\n-\n\n [Core skill: Use GPUs in GKE](/kubernetes-engine/docs/how-to/gpus)\n\n-\n\n [Serve Llama open models using GPUs with vLLM](/kubernetes-engine/docs/tutorials/serve-llama-gpus-vllm)\n\n-\n\n [Serve Gemma open models using GPUs with vLLM](/kubernetes-engine/docs/tutorials/serve-gemma-gpu-vllm)\n\n-\n\n [Serve Gemma open models with Hugging Face TGI](/kubernetes-engine/docs/tutorials/serve-gemma-gpu-tgi)\n\n-\n\n [Serve an LLM with multiple GPUs in GKE](/kubernetes-engine/docs/tutorials/serve-multiple-gpu)\n\n-\n\n [Deploy GPUs for batch workloads with Dynamic Workload Scheduler](/kubernetes-engine/docs/how-to/provisioningrequest)\n\n-\n\n [About Ray on GKE](/kubernetes-engine/docs/add-on/ray-on-gke/concepts/overview)\n\ngroup_work\n\n### References and resources\n\n-\n\n [REST API](/kubernetes-engine/docs/reference/rest)\n\n-\n\n [API permissions](/kubernetes-engine/docs/reference/api-permissions)\n\n-\n\n [API organization and structure](/kubernetes-engine/docs/reference/api-organization)\n\n-\n\n [gcloud container commands](/sdk/gcloud/reference/container)\n\n-\n\n [Kubernetes documentation](http://kubernetes.io/docs/)\n\n-\n\n [kubectl commands](https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands)\n\n-\n\n [Release notes](/kubernetes-engine/docs/release-notes)\n\n-\n\n [Release schedule](/kubernetes-engine/docs/release-schedule)\n\n-\n\n [Security bulletins](/anthos/clusters/docs/security-bulletins)\n\n-\n\n [Security patching](/kubernetes-engine/docs/resources/security-patching)\n\n-\n\n [Pricing](/kubernetes-engine/pricing)\n\nRelated resources\n-----------------\n\nTraining and tutorials \nUse cases \nExplore self-paced training, use cases, reference architectures, and code samples with examples of how to use and connect Google Cloud services. Training \nTraining and tutorials\n\n### Architecting with Kubernetes Engine\n\n\nThis course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements---including infrastructure components like pods, containers, deployments, and services---along with networks and application services.\n\n\n[Learn more](http://cloud.google.com/training/course/architecting-with-google-kubernetes-engine) \nTraining \nTraining and tutorials\n\n### Kubernetes Qwik Start lab\n\n\nLearn how to deploy a containerized application with Kubernetes Engine in less than 30 minutes.\n\n\n[Learn more](https://www.cloudskillsboost.google/catalog_lab/911?qlcampaign=77-18-gcpd-236&utm_source=gcp&utm_medium=documentation&utm_campaign=kubernetes) \nTraining \nTraining and tutorials\n\n### Serve LLMs for AI/ML inference using GPUs on GKE with vLLM\n\n\nThis tutorial demonstrates how to use graphical processinng units (GPUs) on GKE to run large language models (LLMs) for AI/ML inference.\n\n\n[Learn more](/kubernetes-engine/docs/tutorials/serve-gemma-gpu-vllm) \nTraining \nTraining and tutorials\n\n### Create a cluster and deploy a workload in the Google Cloud console\n\n\nLearn how to create a Kubernetes cluster and deploy a 'hello world' web app in Google Cloud console.\n\n\n[Learn more](/kubernetes-engine/docs/quickstarts/create-cluster) \nTraining \nTraining and tutorials\n\n### Setting up HTTP(S) Load Balancing with Ingress\n\n\nThis tutorial shows how to run a web application behind an external HTTP(S) load balancer by configuring the Ingress resource.\n\n\n[Learn more](/kubernetes-engine/docs/tutorials/http-balancer) \nTraining \nTraining and tutorials\n\n### Configuring Domain Names with Static IP Addresses\n\n\nThis tutorial demonstrates how to expose your web application to the internet on a static external IP address and configure DNS records of your domain name to point to your application.\n\n\n[Learn more](/kubernetes-engine/docs/tutorials/configuring-domain-name-static-ip) \nUse case \nUse cases\n\n### Best practices for continuous integration and delivery to Google Kubernetes Engine\n\n\nLearn best practices for continuous integration and continuous delivery to GKE, from source control to deployment strategies.\n\nCI/CD GitOps\n\n\u003cbr /\u003e\n\n[Learn more](/solutions/best-practices-continuous-integration-delivery-kubernetes) \nUse case \nUse cases\n\n### Configuring privately used public IPs for GKE\n\n\nApply privately used public IP addresses for Google Kubernetes Engine pod address blocks.\n\nVPC Networking\n\n\u003cbr /\u003e\n\n[Learn more](/solutions/configuring-privately-used-public-ips-for-GKE) \nUse case \nUse cases\n\n### Best practices for running cost-optimized Kubernetes applications on GKE\n\n\nTake advantage of the elasticity provided by Google Cloud when running cost-optimized applications on GKE.\n\nCosts\n\n\u003cbr /\u003e\n\n[Learn more](/architecture/best-practices-for-running-cost-effective-kubernetes-applications-on-gke) \nUse case \nUse cases\n\n### Modernization path for .NET applications on Google Cloud\n\n\nLearn a gradual and structured process for modernizing monolithic applications.\n\nWindows .NET Migration\n\n\u003cbr /\u003e\n\n[Learn more](/solutions/modernization-path-dotnet-applications-google-cloud)\n\nRelated videos\n--------------\n\n### Try GKE for yourself\n\nCreate an account to evaluate how our products perform in real-world scenarios. \nNew customers also get $300 in free credits to run, test, and deploy workloads. \n[Try GKE free](https://console.cloud.google.com/freetrial)"]]
