{"id":75007,"date":"2020-03-22T19:42:31","date_gmt":"2020-03-22T17:42:31","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/sravnenie-stoimosti-na-managed-kubernetes-2020"},"modified":"2020-03-22T19:42:31","modified_gmt":"2020-03-22T17:42:31","slug":"sravnenie-stoimosti-na-managed-kubernetes-2020","status":"publish","type":"post","link":"https:\/\/prohoster.info\/pt\/blog\/administrirovanie\/sravnenie-stoimosti-na-managed-kubernetes-2020","title":{"rendered":"Compara\u00e7\u00e3o de custos do Kubernetes Gerido (2020)","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><i><b>Nota do tradutor.<\/b>: O engenheiro DevOps americano Sid Palas, utilizando <noindex><a rel=\"nofollow\" href=\"https:\/\/www.reddit.com\/r\/kubernetes\/comments\/fdgblk\/google_gke_to_introduce_management_fees_by_june\/\">o recente an\u00fancio do Google Cloud<\/a><\/noindex> como pano de fundo, fez uma compara\u00e7\u00e3o dos custos do servi\u00e7o Managed Kubernetes (em diferentes configura\u00e7\u00f5es) dos principais provedores de nuvem do mundo. Um adicional positivo de seu trabalho foi a publica\u00e7\u00e3o de um Jupyter Notebook correspondente, permitindo (com conhecimentos m\u00ednimos em Python) ajustar os c\u00e1lculos para atender \u00e0s suas necessidades.<\/i><\/p>\n<p><b>TL;DR<\/b>: Azure e Digital Ocean n\u00e3o cobram pelo uso de recursos computacionais na camada de controle (control plane), o que os torna uma escolha adequada para implantar v\u00e1rios pequenos clusters. Para iniciar uma pequena quantidade de clusters grandes, o GKE \u00e9 a melhor op\u00e7\u00e3o. Al\u00e9m disso, \u00e9 poss\u00edvel reduzir significativamente os custos usando n\u00f3s preemptivos\/anunciados de baixo custo ou \"assumindo\" o uso cont\u00ednuo dos mesmos n\u00f3s (isso se aplica a todas as plataformas).<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<p><img decoding=\"async\" alt=\"Compara\u00e7\u00e3o de custos do Kubernetes Gerido (2020)\" src=\"\/wp-content\/uploads\/2020\/03\/6c67dad749abb484670a9c81402e29cf.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>Tamanho do cluster (n\u00famero de workers)<\/i><\/p>\n<h2>Vis\u00e3o geral<\/h2>\n<p>\n<noindex><a rel=\"nofollow\" href=\"https:\/\/news.ycombinator.com\/item?id=22485625\">O recente an\u00fancio do Google Cloud<\/a><\/noindex> sobre a cobran\u00e7a de 10 centavos por hora de cada cluster no GKE me motivou a analisar os pre\u00e7os das principais ofertas na \u00e1rea de Kubernetes gerenciado.<\/p>\n<p><img decoding=\"async\" alt=\"Compara\u00e7\u00e3o de custos do Kubernetes Gerido (2020)\" src=\"\/wp-content\/uploads\/2020\/03\/f29c0186fa345bbee7c2105a70845a51.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>Esse an\u00fancio desapontou bastante alguns...<\/i><\/p>\n<p>Os protagonistas do artigo s\u00e3o:<\/p>\n<ul>\n<li> Google Kubernetes Engine (GCP) \u2013 <noindex><a rel=\"nofollow\" href=\"https:\/\/cloud.google.com\/products\/calculator\">calculadora de pre\u00e7os<\/a><\/noindex>;<\/li>\n<li> Elastic Kubernetes Service (AWS) \u2013 <noindex><a rel=\"nofollow\" href=\"https:\/\/calculator.s3.amazonaws.com\/index.html\">calculadora de pre\u00e7os<\/a><\/noindex>;<\/li>\n<li> Azure Kubernetes Service (Azure) \u2013 <noindex><a rel=\"nofollow\" href=\"https:\/\/azure.microsoft.com\/en-us\/pricing\/calculator\/\">calculadora de pre\u00e7os<\/a><\/noindex>;<\/li>\n<li> Kubernetes no Digital Ocean \u2013 <noindex><a rel=\"nofollow\" href=\"https:\/\/www.digitalocean.com\/pricing\/\">p\u00e1gina de pre\u00e7os<\/a><\/noindex>.<\/li>\n<\/ul>\n<p><\/p>\n<h2>Detalhamento de custos<\/h2>\n<p>\nOs custos totais de uso do Kubernetes em cada uma dessas plataformas s\u00e3o compostos pelos seguintes componentes:<\/p>\n<ul>\n<li> Cobra do gerenciamento do cluster;<\/li>\n<li> Balanceamento de carga (para Ingress);<\/li>\n<li> Recursos computacionais (vCPU e mem\u00f3ria) dos workers;<\/li>\n<li> Tr\u00e1fego de Egress;<\/li>\n<li> Armazenamento persistente;<\/li>\n<li> Processamento de dados pelo balanceador de carga.<\/li>\n<\/ul>\n<p>\nAl\u00e9m disso, os provedores de nuvem oferecem descontos significativos se o cliente quiser\/puder usar n\u00f3s preemptivos, <noindex><a rel=\"nofollow\" href=\"https:\/\/aws.amazon.com\/ru\/ec2\/spot\/\">spot<\/a><\/noindex> ou n\u00f3s de baixa prioridade (low-priority) OU se comprometer a usar os mesmos n\u00f3s por 1 a 3 anos.<\/p>\n<p>\u00c9 importante ressaltar que, embora o custo seja uma boa base para compara\u00e7\u00e3o e avalia\u00e7\u00e3o dos fornecedores de servi\u00e7os, outros fatores tamb\u00e9m devem ser considerados:<\/p>\n<ul>\n<li> Uptime (Acordo de N\u00edvel de Servi\u00e7o);<\/li>\n<li> O ecossistema de nuvem circundante;<\/li>\n<li> Vers\u00f5es dispon\u00edveis do K8s;<\/li>\n<li> Qualidade da documenta\u00e7\u00e3o\/ferramentas.<\/li>\n<\/ul>\n<p>\nNo entanto, esses fatores est\u00e3o al\u00e9m do escopo deste artigo\/pesquisa. Na <noindex><a rel=\"nofollow\" href=\"https:\/\/www.stackrox.com\/post\/2020\/02\/eks-vs-gke-vs-aks\/\">anota\u00e7\u00e3o de fevereiro no blog da StackRox<\/a><\/noindex> Fatores n\u00e3o relacionados a pre\u00e7os para EKS, AKS e GKE s\u00e3o discutidos em detalhes.<\/p>\n<h2>Bloco de Notas Jupyter<\/h2>\n<p>\nPara facilitar a busca pela solu\u00e7\u00e3o mais vantajosa, eu desenvolvi <noindex><a rel=\"nofollow\" href=\"https:\/\/en.wikipedia.org\/wiki\/Project_Jupyter#Jupyter_Notebook\">o bloco de notas Jupyter<\/a><\/noindex>, utilizando plotly + ipywidgets. Ele permite comparar as ofertas dos provedores para diferentes tamanhos de cluster e conjuntos de servi\u00e7os.<\/p>\n<p>Voc\u00ea pode experimentar a vers\u00e3o ao vivo do bloco de notas em Binder:<\/p>\n<p><noindex><a rel=\"nofollow\" href=\"https:\/\/mybinder.org\/v2\/gh\/sidpalas\/managed-kubernetes-pricing\/master?filepath=%2Fmanaged-kubernetes-price-exploration.ipynb\"><img decoding=\"async\" alt=\"Compara\u00e7\u00e3o de custos do Kubernetes Gerido (2020)\" src=\"\/wp-content\/uploads\/2020\/03\/4554a23c44b0d6c8c235308a172f66e3.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><br \/>\n<i><noindex><a rel=\"nofollow\" href=\"https:\/\/mybinder.org\/v2\/gh\/sidpalas\/managed-kubernetes-pricing\/master?filepath=%2Fmanaged-kubernetes-price-exploration.ipynb\">managed-kubernetes-price-exploration.ipynb em mybinder.org<\/a><\/noindex><\/i><\/p>\n<p>Por favor, me avise se os c\u00e1lculos ou or\u00e7amentos estiverem incorretos (isso pode ser feito atrav\u00e9s de uma issue ou pull request no GitHub \u2014 <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/sidpalas\/managed-kubernetes-pricing\/\">aqui est\u00e1 o reposit\u00f3rio<\/a><\/noindex>).<\/p>\n<h2>Como resultado, obtemos um servi\u00e7o de \"monitoramento como servi\u00e7o\", automatizado na linha de produ\u00e7\u00e3o de integra\u00e7\u00e3o cont\u00ednua. O desenvolvedor ou testador precisa apenas definir a lista de m\u00e9tricas em um arquivo JSON, e tudo o mais acontece automaticamente. Obtemos um controle de qualidade transparente dos lan\u00e7amentos: todas as notifica\u00e7\u00f5es sobre desempenho, consumo de recursos ou regress\u00f5es arquitet\u00f4nicas.<\/h2>\n<p>\nInfelizmente, h\u00e1 muitos detalhes para fornecer recomenda\u00e7\u00f5es mais espec\u00edficas al\u00e9m das inclu\u00eddas no par\u00e1grafo TL;DR no in\u00edcio. No entanto, algumas conclus\u00f5es podem ser feitas:<\/p>\n<ul>\n<li> Ao contr\u00e1rio do GKE e EKS, AKS e Digital Ocean n\u00e3o cobram pelos recursos da camada de gerenciamento. AKS e DO s\u00e3o mais vantajosos se a arquitetura inclui muitos pequenos clusters (por exemplo, um cluster para <i>cada desenvolvedor<\/i> ou <i>cada cliente<\/i>).<\/li>\n<li> Recursos computacionais um pouco menos caros do GKE tornam-no mais vantajoso \u00e0 medida que o tamanho dos clusters aumenta*.<\/li>\n<li> O uso de n\u00f3s desativ\u00e1veis ou a vincula\u00e7\u00e3o a longo prazo a n\u00f3s podem reduzir os custos em mais de 50%. <i>Nota: a Digital Ocean n\u00e3o oferece esses descontos.<\/i><\/li>\n<li> A taxa de tr\u00e1fego de sa\u00edda no Google \u00e9 mais alta, no entanto, o fator determinante no c\u00e1lculo \u00e9 o custo dos recursos computacionais (a menos que seu cluster seja uma fonte significativa de tr\u00e1fego de sa\u00edda).<\/li>\n<li> Escolher tipos de m\u00e1quinas com base nas necessidades das cargas de trabalho em CPU e mem\u00f3ria permitir\u00e1 evitar custos desnecess\u00e1rios por recursos n\u00e3o utilizados.<\/li>\n<li> A Digital Ocean cobra menos por vCPU e mais por mem\u00f3ria em compara\u00e7\u00e3o com outras plataformas \u2014 isso pode ser um fator decisivo para alguns tipos de cargas de trabalho computacionais.<\/li>\n<\/ul>\n<p>\n<i>* Nota: a an\u00e1lise utiliza dados para n\u00f3s computacionais de uso geral <i>(general-purpose)<\/i>. Estes s\u00e3o inst\u00e2ncias n1 GCP Compute Engine, m5 AWS ec2, m\u00e1quinas virtuais D2v3 Azure e droplets DO com CPU dedicados. Por sua vez, tamb\u00e9m podemos pesquisar entre outros tipos de m\u00e1quinas virtuais (burstable, entry-level). \u00c0 primeira vista, o custo das m\u00e1quinas virtuais depende linearmente do n\u00famero de vCPUs e da quantidade de mem\u00f3ria, no entanto, n\u00e3o estou certo de que essa suposi\u00e7\u00e3o se mantenha v\u00e1lida para rela\u00e7\u00f5es mem\u00f3ria\/CPU extremamente n\u00e3o convencionais.<\/i><\/p>\n<p>No artigo <noindex><a rel=\"nofollow\" href=\"https:\/\/www.replex.io\/blog\/the-ultimate-kubernetes-cost-guide-aws-vs-gce-vs-azure-vs-digital-ocean\">O Guia Definitivo de Custos do Kubernetes: AWS vs GCP vs Azure vs Digital Ocean<\/a><\/noindex>, publicada em 2018, foi utilizado um cluster de refer\u00eancia com 100 n\u00facleos vCPU e 400 GB de mem\u00f3ria. Para compara\u00e7\u00e3o, de acordo com minhas estimativas, um cluster semelhante em cada uma dessas plataformas (para inst\u00e2ncias on-demand) custaria o seguinte:<\/p>\n<ul>\n<li> AKS: 51465 USD\/ano<\/li>\n<li> EKS: 43138 USD\/ano<\/li>\n<li> GKE: 30870 USD\/ano<\/li>\n<li> DO: 36131 USD\/ano<\/li>\n<\/ul>\n<p>\nEspero que o artigo, juntamente com o caderno, ajudem voc\u00ea a avaliar as principais ofertas de Kubernetes gerenciado e\/ou economizar em infraestrutura de nuvem, aproveitando descontos e outras oportunidades.<\/p>\n<h2>P.S. do tradutor<\/h2>\n<p>\nConfira tamb\u00e9m em nosso blog:<\/p>\n<ul>\n<li> \u00ab<noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/flant\/blog\/466659\/\">Vis\u00e3o geral do Kubecost para economia de custos no Kubernetes em nuvem<\/a><\/noindex>\u00bb;<\/li>\n<li> \u00ab<noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/flant\/blog\/490356\/\">Apresentando o Kubernetes CCM (Cloud Controller Manager) para Yandex.Cloud<\/a><\/noindex>\u00bb;<\/li>\n<li> \u00ab<noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/flant\/blog\/455543\/\">\u00c9 f\u00e1cil e pr\u00e1tico configurar um cluster Kubernetes? Apresentamos o addon-operator<\/a><\/noindex>\u00bb;<\/li>\n<li> \u00ab<noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/flant\/blog\/341760\/\">Infraestrutura com Kubernetes como um servi\u00e7o acess\u00edvel<\/a><\/noindex>\u00bb.<\/li>\n<\/ul>\n<p>Fonte: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/flant\/blog\/492226\/\">habr.com<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041f\u0440\u0438\u043c. \u043f\u0435\u0440\u0435\u0432.: \u0410\u043c\u0435\u0440\u0438\u043a\u0430\u043d\u0441\u043a\u0438\u0439 DevOps-\u0438\u043d\u0436\u0435\u043d\u0435\u0440 Sid Palas, \u043f\u043e\u043b\u044c\u0437\u0443\u044f\u0441\u044c \u043d\u0435\u0434\u0430\u0432\u043d\u0438\u043c \u0430\u043d\u043e\u043d\u0441\u043e\u043c Google Cloud \u043a\u0430\u043a \u0438\u043d\u0444\u043e\u043f\u043e\u0432\u043e\u0434\u043e\u043c, \u043f\u0440\u043e\u0432\u0451\u043b \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u0435 \u0441\u0442\u043e\u0438\u043c\u043e\u0441\u0442\u0438 \u0443\u0441\u043b\u0443\u0433\u0438 Managed Kubernetes (\u0432 \u0440\u0430\u0437\u043d\u044b\u0445 \u043a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u044f\u0445) \u043e\u0442 \u0432\u0435\u0434\u0443\u0449\u0438\u0445 \u043c\u0438\u0440\u043e\u0432\u044b\u0445 \u043e\u0431\u043b\u0430\u0447\u043d\u044b\u0445 \u043f\u0440\u043e\u0432\u0430\u0439\u0434\u0435\u0440\u043e\u0432. \u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u043c \u043f\u043b\u044e\u0441\u043e\u043c \u0435\u0433\u043e \u0440\u0430\u0431\u043e\u0442\u044b \u0441\u0442\u0430\u043b\u0430 \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u044f \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u0433\u043e Jupyter Notebook, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0435\u0433\u043e (\u043f\u0440\u0438 \u043d\u0430\u043b\u0438\u0447\u0438\u0438 \u043c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u0445 \u0437\u043d\u0430\u043d\u0438\u0439 Python) \u043f\u043e\u0434\u043a\u043e\u0440\u0440\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u043c\u044b\u0435 \u0440\u0430\u0441\u0447\u0451\u0442\u044b \u043f\u043e\u0434 \u0441\u0432\u043e\u0438 \u043d\u0443\u0436\u0434\u044b. TL;DR: Azure \u0438 Digital Ocean \u043d\u0435 \u0432\u0437\u0438\u043c\u0430\u044e\u0442 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":75008,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-75007","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041f\u0440\u0438\u043c.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/prohoster.info\/pt\/blog\/administrirovanie\/sravnenie-stoimosti-na-managed-kubernetes-2020\" \/>\n\t\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 5.0.3\" 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