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Minimizar inicializações a frio com o Recomendador
O Recomendador é um serviço que fornece recomendações e insights automaticamente para o uso de recursos no Google Cloud, com base em métodos de heurística, machine learning e uso atual de recursos. As recomendações incluem um link em que você pode clicar para colocar a recomendação em vigor na sua função.
Este tópico mostra como usar o Recomendador para minimizar
inicializações a frio:
Detecte funções que podem se beneficiar da definição das instâncias mínimas (em
outras palavras, funções que provavelmente serão afetadas negativamente por
problemas de inicialização a frio).
Informe os usuários sobre a oportunidade de eliminar problemas de inicialização a frio.
Permitir que os usuários configurem as instâncias mínimas diretamente do sistema
de recomendação.
Disponibilidade da recomendação após a implantação
O recomendador fornece automaticamente recomendações para uma função
uma semana após a implantação.
Após esse período, as recomendações para a função serão exibidas com
a função na página de lista de funções na
Página de visão geral das funções do Cloud Run
no console do Google Cloud e no
Hub de recomendações.
Formas alternativas de usar as recomendações
Além do uso das recomendações abordadas nesta página na
IU das funções do Cloud Run, as recomendações também estão disponíveis nos seguintes itens:
[[["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 2024-12-22 UTC."],[[["\u003cp\u003eRecommender helps minimize cold starts in Google Cloud functions by detecting functions that would benefit from setting minimum instances.\u003c/p\u003e\n"],["\u003cp\u003eRecommendations are automatically provided for functions one week after deployment and are displayed in the Cloud Run functions Overview page.\u003c/p\u003e\n"],["\u003cp\u003eUsers can view recommendations, get details on why they're suggested, and directly apply the recommendation to set minimum instances.\u003c/p\u003e\n"],["\u003cp\u003eIn addition to the Cloud Run functions UI, recommendations are accessible through the Recommender API, BigQuery export, and Recommender Logs.\u003c/p\u003e\n"],["\u003cp\u003eRecommendations can be dismissed for 30 days if they are not applicable, and recommendations can also be found in the Recommendation Hub.\u003c/p\u003e\n"]]],[],null,["# Minimize Cold Starts with Recommender\n=====================================\n\nRecommender is a service that\nautomatically provides recommendations and insights for using resources on\nGoogle Cloud, based on heuristic methods, machine learning, and current\nresource usage. Each recommendation includes a link you can click to put the\nrecommendation into effect for your function.\n\nThis topic shows how to use [Recommender](/recommender) to minimize\ncold starts:\n\n- Detect functions that could benefit from setting up the minimum instances (in other words, functions that are likely to be negatively affected by cold start issues).\n- Inform users about the opportunity to eliminate cold start issues.\n- Let users set up the minimum instances directly from the recommendation system.\n\nRecommendation availability after deployment\n--------------------------------------------\n\nRecommender automatically provides recommendations for a function as\nsoon as a week after it has been deployed.\nAfter this period of time, recommendations for the function are displayed with\nthe function on the function list page in the\n[Cloud Run functions Overview page](https://console.cloud.google.com/functions/list)\nin the Google Cloud console and in the\n[Recommendation Hub](/recommender/docs/recommendation-hub/identify-configuration-problems).\n\nAlternate ways of using recommendations\n---------------------------------------\n\nIn addition to the use of recommendations covered on this page inside the\nCloud Run functions UI, recommendations are also available through the following:\n\n- [Recommender API](/recommender/docs/using-api)\n- [BigQuery export](/recommender/docs/bq-export/export-recommendations-to-bq)\n- [Recommender Logs](/recommender/docs/viewing-logs)\n\nViewing and accepting recommendations for Cloud Run functions\n-------------------------------------------------------------\n\nTo view and accept a recommendation in the Cloud Run functions user interface:\n\n1. [Go to the Cloud Run functions Overview page](https://console.cloud.google.com/functions/list)\n\n2. Look for functions in the list that have a **Performance** light bulb\n icon in the **Recommendation** column.\n\n3. Click **Performance** to view details for the recommendation:\n\n - An overview of why this recommendation is being suggested.\n - The recommendation itself.\n4. If you decide to apply the recommendation, set the number of minimum\n instances and click **Apply**.\n\n This redeploys the function with the new minimum instance value. After this,\n the recommendation will no longer be displayed next to the function.\n\nDismissing a recommendation\n---------------------------\n\nClick **Dismiss** if you want to dismiss the recommendation without applying it.\nThis prevents the recommendation for that function from appearing again for\n30 days.\n\nViewing recommendations in Recommendation Hub\n---------------------------------------------\n\nYou can also view recommendations in the Recommendation Hub.\nFor more information refer to the Recommendation Hub\n[Getting started](/recommender/docs/recommendation-hub/identify-configuration-problems)\ndocumentation."]]
