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Documentação do Google Kubernetes Engine
Implante, gerencie e faça o escalonamento de aplicativos em contêineres no Kubernetes, com a tecnologia do Google Cloud.
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Exceto em caso de indicação contrária, o conteúdo desta página é licenciado de acordo com a Licença de atribuição 4.0 do Creative Commons, e as amostras de código são licenciadas de acordo com a Licença Apache 2.0. Para mais detalhes, consulte as políticas do site do Google Developers. Java é uma marca registrada da Oracle e/ou afiliadas.
Última atualização 2024-08-06 UTC.
[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],["Última atualização 2024-08-06 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)"]]
