{"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\/da\/blog\/administrirovanie\/sravnenie-stoimosti-na-managed-kubernetes-2020","title":{"rendered":"Sammenligning af omkostninger til Managed Kubernetes (2020)","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><i><b>Bem. overs.<\/b>: Den amerikanske DevOps-ingeni\u00f8r Sid Palas, ved hj\u00e6lp af <noindex><a rel=\"nofollow\" href=\"https:\/\/www.reddit.com\/r\/kubernetes\/comments\/fdgblk\/google_gke_to_introduce_management_fees_by_june\/\">den nylige annoncering fra Google Cloud<\/a><\/noindex> , gennemf\u00f8rte en sammenligning af omkostningerne ved Managed Kubernetes-tjenester (i forskellige konfigurationer) fra f\u00f8rende globale cloud-udbydere. En yderligere fordel ved hans arbejde var udgivelsen af en tilsvarende Jupyter Notebook, der g\u00f8r det muligt at (med minimalt kendskab til Python) justere de genererede beregninger til egne behov.<\/i><\/p>\n<p><b>TL;DR<\/b>: Azure og Digital Ocean opkr\u00e6ver ikke gebyrer for de beregningsressourcer, der bruges til kontrolplanet, hvilket g\u00f8r dem til et passende valg for udrulning af mange sm\u00e5 klynger. Til at k\u00f8re et lille antal store klynger er GKE bedst egnet. Derudover er det muligt at reducere omkostningerne betydeligt ved at bruge preemptible\/spottede\/low-priority noder eller ved at 'abonnere' p\u00e5 langvarig brug af de samme noder (dette g\u00e6lder for alle platforme).<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<p><img decoding=\"async\" alt=\"Sammenligning af omkostninger til Managed Kubernetes (2020)\" src=\"\/wp-content\/uploads\/2020\/03\/6c67dad749abb484670a9c81402e29cf.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>Clusterst\u00f8rrelse (antal workere)<\/i><\/p>\n<h2>Generel information<\/h2>\n<p>\n<noindex><a rel=\"nofollow\" href=\"https:\/\/news.ycombinator.com\/item?id=22485625\">Den nylige meddelelse fra Google Cloud<\/a><\/noindex> om at begynde at opkr\u00e6ve 10 cent pr. time for hver klynge i GKE fik mig til at analysere priserne p\u00e5 de vigtigste tilbud inden for Managed Kubernetes.<\/p>\n<p><img decoding=\"async\" alt=\"Sammenligning af omkostninger til Managed Kubernetes (2020)\" src=\"\/wp-content\/uploads\/2020\/03\/f29c0186fa345bbee7c2105a70845a51.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>Denne meddelelse har st\u00e6rkt forstyrret nogle\u2026<\/i><\/p>\n<p>Hovedpersonerne i artiklen er:<\/p>\n<ul>\n<li> Google Kubernetes Engine (GCP) \u2013 <noindex><a rel=\"nofollow\" href=\"https:\/\/cloud.google.com\/products\/calculator\">prisberegner<\/a><\/noindex>;<\/li>\n<li> Elastic Kubernetes Service (AWS) \u2013 <noindex><a rel=\"nofollow\" href=\"https:\/\/calculator.s3.amazonaws.com\/index.html\">prisberegner<\/a><\/noindex>;<\/li>\n<li> Azure Kubernetes Service (Azure) \u2013 <noindex><a rel=\"nofollow\" href=\"https:\/\/azure.microsoft.com\/en-us\/pricing\/calculator\/\">prisberegner<\/a><\/noindex>;<\/li>\n<li> Kubernetes p\u00e5 Digital Ocean \u2013 <noindex><a rel=\"nofollow\" href=\"https:\/\/www.digitalocean.com\/pricing\/\">prisside<\/a><\/noindex>.<\/li>\n<\/ul>\n<p><\/p>\n<h2>Omkostningsopdeling<\/h2>\n<p>\nDe samlede omkostninger ved at bruge Kubernetes p\u00e5 hver af disse platforme best\u00e5r af f\u00f8lgende komponenter:<\/p>\n<ul>\n<li> Gebyr for klyngeadministration;<\/li>\n<li> Lastbalancering (til Ingress);<\/li>\n<li> Beregning ressourcer (vCPU og hukommelse) for workere;<\/li>\n<li> Egress-trafik;<\/li>\n<li> Vedholdende lagring;<\/li>\n<li> Datantering ved hj\u00e6lp af load balancer.<\/li>\n<\/ul>\n<p>\nDerudover tilbyder cloud-udbydere betydelige rabatter, hvis en kunde \u00f8nsker\/kan bruge preemptible, <noindex><a rel=\"nofollow\" href=\"https:\/\/aws.amazon.com\/ru\/ec2\/spot\/\">spot<\/a><\/noindex> eller low-priority noder ELLER forpligter sig til at bruge de samme noder i 1-3 \u00e5r.<\/p>\n<p>Det skal understreges, at selvom omkostningerne er et godt grundlag for sammenligning og evaluering af tjenesteudbydere, skal der tages h\u00f8jde for andre faktorer:<\/p>\n<ul>\n<li> Oppetid (Service Level Agreement);<\/li>\n<li> Den omkringliggende cloud-\u00f8kosystem;<\/li>\n<li> Tilg\u00e6ngelige versioner af K8s;<\/li>\n<li> Kvaliteten af dokumentationen\/v\u00e6rkt\u00f8jerne.<\/li>\n<\/ul>\n<p>\nDisse faktorer g\u00e5r dog ud over omfanget af denne artikel\/unders\u00f8gelse. I <noindex><a rel=\"nofollow\" href=\"https:\/\/www.stackrox.com\/post\/2020\/02\/eks-vs-gke-vs-aks\/\">den februar-blogpost fra StackRox<\/a><\/noindex> Ikke-priskriterier for EKS, AKS og GKE gennemg\u00e5s i detaljer.<\/p>\n<h2>Jupyter Notebook<\/h2>\n<p>\nFor at g\u00f8re det lettere at finde den mest rentable l\u00f8sning har jeg udviklet <noindex><a rel=\"nofollow\" href=\"https:\/\/en.wikipedia.org\/wiki\/Project_Jupyter#Jupyter_Notebook\">en Jupyter Notebook<\/a><\/noindex>, der bruger plotly + ipywidgets. Det giver mulighed for at sammenligne udbyderes tilbud for forskellige st\u00f8rrelser p\u00e5 klynger og servicemuligheder.<\/p>\n<p>Du kan \u00f8ve dig med den live version af notebooken i 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=\"Sammenligning af omkostninger til Managed Kubernetes (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 p\u00e5 mybinder.org<\/a><\/noindex><\/i><\/p>\n<p>Lad mig vide, hvis beregninger eller oprindelige vurderinger er forkerte (dette kan g\u00f8res via issue eller pull request p\u00e5 GitHub \u2014 <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/sidpalas\/managed-kubernetes-pricing\/\">her er repositoryet<\/a><\/noindex>).<\/p>\n<h2>Konklusioner<\/h2>\n<p>\nDesv\u00e6rre er der for mange nuancer til at give mere konkrete anbefalinger end dem, der er inkluderet i TL;DR-afsnittet i begyndelsen. Nogle konklusioner kan dog stadig drages:<\/p>\n<ul>\n<li> I mods\u00e6tning til GKE og EKS opkr\u00e6ver AKS og Digital Ocean ikke for ressourcerne i kontrolplanen. AKS og DO er mere fordelagtige, hvis arkitekturen inkluderer mange sm\u00e5 klynger (f.eks. \u00e9n klynge per <i>udvikler<\/i> eller <i>kunde<\/i>).<\/li>\n<li> De lidt billigere beregningsressourcer i GKE g\u00f8r det mere rentabelt, jo st\u00f8rre klyngerne bliver*.<\/li>\n<li> Brug af udskiftelige noder eller langsigtet binding til noder kan reducere omkostningerne med mere end 50%. <i>Bem\u00e6rk: Digital Ocean har ikke s\u00e5danne rabatter.<\/i><\/li>\n<li> Omkostningerne ved udg\u00e5ende trafik i Google er h\u00f8jere, men den afg\u00f8rende faktor i beregningen er omkostningerne til beregningsressourcer (medmindre din klynge ikke genererer betydelige m\u00e6ngder udg\u00e5ende data).<\/li>\n<li> Valg af maskintyper baseret p\u00e5 arbejdsbyrdernes behov for CPU og hukommelse kan hj\u00e6lpe med at undg\u00e5 un\u00f8dvendige omkostninger for ubenyttede ressourcer.<\/li>\n<li> Digital Ocean opkr\u00e6ver mindre for vCPU og mere for hukommelse sammenlignet med andre platforme \u2014 dette kan v\u00e6re en afg\u00f8rende faktor for nogle typer belastninger.<\/li>\n<\/ul>\n<p>\n<i>* Bem\u00e6rk: data for generelle beregningsnoder (general-purpose) bruges i analysen. <i>(general-purpose)<\/i>. Dette er n1 GCP Compute Engine, m5 AWS ec2, D2v3 Azure virtuelle maskiner og DO dropletter med dedikerede CPU'er. Der kan ogs\u00e5 udf\u00f8res forskning blandt andre typer virtuelle maskiner (burstable, entry-level). Ved f\u00f8rste \u00f8jekast ser omkostningerne ved virtuelle maskiner ud til at afh\u00e6nge line\u00e6rt af antallet af vCPU'er og m\u00e6ngden af hukommelse, men jeg er ikke sikker p\u00e5, at denne antagelse forbliver gyldig for st\u00e6rkt ikke-standardiserede forhold mellem hukommelse\/CPU.<\/i><\/p>\n<p>I artiklen <noindex><a rel=\"nofollow\" href=\"https:\/\/www.replex.io\/blog\/the-ultimate-kubernetes-cost-guide-aws-vs-gce-vs-azure-vs-digital-ocean\">Den Ultimative Kubernetes Omkostningsguide: AWS vs GCP vs Azure vs Digital Ocean<\/a><\/noindex>, offentliggjort i 2018, blev der brugt en referencekluster med 100 vCPU-kerner og 400 GB hukommelse. Til sammenligning, if\u00f8lge mine beregninger, vil et lignende kluster p\u00e5 hver af disse platforme (for on-demand-forekomster) koste f\u00f8lgende bel\u00f8b:<\/p>\n<ul>\n<li> AKS: 51465 USD\/\u00e5r<\/li>\n<li> EKS: 43138 USD\/\u00e5r<\/li>\n<li> GKE: 30870 USD\/\u00e5r<\/li>\n<li> DO: 36131 USD\/\u00e5r<\/li>\n<\/ul>\n<p>\nJeg h\u00e5ber, at artiklen sammen med noten vil hj\u00e6lpe dig med at vurdere de prim\u00e6re tilbud p\u00e5 managed Kubernetes og\/eller spare penge p\u00e5 cloud-infrastruktur ved at udnytte rabatter og andre muligheder.<\/p>\n<h2>P.S. fra overs\u00e6tteren<\/h2>\n<p>\nL\u00e6s ogs\u00e5 p\u00e5 vores blog:<\/p>\n<ul>\n<li> \u00ab<noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/flant\/blog\/466659\/\">Kubecost-gennemgang for omkostningsbesparelser i Kubernetes p\u00e5 skyen<\/a><\/noindex>\u00bb;<\/li>\n<li> \u00ab<noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/flant\/blog\/490356\/\">Vi pr\u00e6senterer Kubernetes CCM (Cloud Controller Manager) til Yandex.Cloud<\/a><\/noindex>\u00bb;<\/li>\n<li> \u00ab<noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/flant\/blog\/455543\/\">Er det enkelt og bekvemt at forberede et Kubernetes-kluster? Vi annoncerer addon-operator.<\/a><\/noindex>\u00bb;<\/li>\n<li> \u00ab<noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/flant\/blog\/341760\/\">Infrastruktur med Kubernetes som en tilg\u00e6ngelig tjeneste<\/a><\/noindex>\u00bb.<\/li>\n<\/ul>\n<p>Kilde: <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\/da\/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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