{"id":20598,"date":"2021-05-26T07:38:56","date_gmt":"2021-05-26T12:38:56","guid":{"rendered":"https:\/\/www.loadview-testing.com\/blog\/test-microsoft-azure-autoscale\/"},"modified":"2023-04-30T03:32:10","modified_gmt":"2023-04-30T08:32:10","slug":"test-microsoft-azure-autoscale","status":"publish","type":"post","link":"https:\/\/www.loadview-testing.com\/fr\/blog\/test-microsoft-azure-autoscale\/","title":{"rendered":"Test microsoft Azure Autoscale"},"content":{"rendered":"[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; _builder_version=&#8221;4.20.4&#8243; custom_padding=&#8221;0px||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row admin_label=&#8221;ramer&#8221; _builder_version=&#8221;4.16&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text admin_label=&#8221;Text&#8221; _builder_version=&#8221;4.20.4&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]\n<p>Chaque composant applicatif du <a class=\"inlinks\" href=\"https:\/\/www.loadview-testing.com\/fr\/services-professionnels\/\">service<\/a> que nous \u00e9crivons n\u00e9cessite des ressources pour s\u2019ex\u00e9cuter et fonctionner correctement. Il peut \u00eatre presque impossible de pr\u00e9voir exactement la quantit\u00e9 de ressources n\u00e9cessaires, car il y a beaucoup de pi\u00e8ces mobiles qui peuvent l\u2019influencer. La quantit\u00e9 de m\u00e9moire, de processeur ou de bande passante r\u00e9seau n\u00e9cessaire peut changer en utilisant le cycle de vie de l\u2019application au fur et \u00e0 mesure que le volume de travail change. Presque toutes les applications ont des exigences de performance que nous devons toujours satisfaire. \u00c0 mesure que la charge de travail change, nous devons \u00eatre en mesure de maintenir le niveau de rendement souhait\u00e9. C\u2019est l\u00e0 qu\u2019Azure Autoscale entre en jeu, car il s\u2019agit d\u2019un m\u00e9canisme que nous pouvons utiliser pour y parvenir.<\/p>\n<p>&nbsp;<\/p>\n<h2 id='autoscaling'  id=\"boomdevs_1\">Autoscaling<\/h2>\n<p>Dans la figure 1 ci-dessous, il y a la charge d\u2019application et la limite totale des ressources. Lorsque la mise \u00e0 l\u2019\u00e9chelle automatique n\u2019est pas en place, le <a class=\"inlinks\" href=\"https:\/\/www.loadview-testing.com\/fr\/blog\/limportance-de-monter-en-puissance-et-de-reduire-la-charge-des-utilisateurs\/\">Utilisateurs<\/a> qui sont connect\u00e9s et les utilisateurs qui vont se connecter \u00e0 l\u2019application Web, peuvent faire face \u00e0 des performances <a class=\"inlinks\" href=\"https:\/\/www.loadview-testing.com\/fr\/en-savoir-plus-sur-les-tests-de-charge\/ce-qui-fait-une-plate-forme-exceptionnelle-de-test-de-charge\/\">Questions<\/a> en raison de la limitation des ressources disponibles et il atteint le seuil tel que d\u00e9crit dans <em>Graphique 1.2<\/em> et ne peut pas faire face au trafic. Toutefois, lorsque vous regardez la figure 2, vous pouvez voir, avec le trafic et la charge d\u2019application, les ressources disponibles augmentent simultan\u00e9ment. C\u2019est l\u2019avantage de l\u2019autoscaling.<\/p>\n<p>&nbsp;<\/p>\n<div id=\"attachment_20599\" style=\"width: 545px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20599\" class=\"wp-image-6145 size-full\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Azure-Autoscale-idle-scenario-e1594762043445.png\" alt=\"Sc\u00e9nario d\u2019inactivit\u00e9 Azure Autoscale\" width=\"535\" height=\"400\" \/><p id=\"caption-attachment-20599\" class=\"wp-caption-text\"><em>Figure 1<\/em><\/p><\/div>\n<p>&nbsp;<\/p>\n<div id=\"attachment_20606\" style=\"width: 545px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20606\" class=\"wp-image-6146 size-full\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Azure-Autoscale-threshold-e1594762098760.png\" alt=\"Seuil Azure Autoscale\" width=\"535\" height=\"346\" \/><p id=\"caption-attachment-20606\" class=\"wp-caption-text\"><em>Figure 1.2<\/em><\/p><\/div>\n<p>&nbsp;<\/p>\n<div id=\"attachment_20613\" style=\"width: 608px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20613\" class=\"wp-image-6147 size-full\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Azure-Autoscale-Autoscaled-e1594762255809.png\" alt=\"\" width=\"598\" height=\"400\" \/><p id=\"caption-attachment-20613\" class=\"wp-caption-text\"><em>Figure 2<\/em><\/p><\/div>\n<p>&nbsp;<\/p>\n<h2 id='calculez-les-solutions-dans-azure'  id=\"boomdevs_2\">Calculez les solutions dans Azure<\/h2>\n<ul>\n<li><u><\/u> <strong>Service app<\/strong>. Azure App Service est un service d\u2019h\u00e9bergement Web enti\u00e8rement g\u00e9r\u00e9 pour la cr\u00e9ation d\u2019applications Web, de back ends mobiles et d\u2019API RESTful. Des petits sites Web aux applications Web \u00e0 l\u2019\u00e9chelle mondiale, Azure dispose des options de tarification et de performance qui correspondent \u00e0 vos besoins.<\/li>\n<li><strong>Azure Cloud Services<\/strong>. Azure Cloud Services est un exemple de plate-forme en tant que service (PaaS). Tout comme Azure App Service, cette technologie est con\u00e7ue pour prendre en charge des applications \u00e9volutives, fiables et peu co\u00fbteuses \u00e0 utiliser. Vous pouvez installer votre propre logiciel sur les VMs qui utilisent Azure Cloud Services, et vous pouvez y acc\u00e9der \u00e0 distance.<\/li>\n<li><strong>Tissu de service Azure<\/strong>. Azure Service Fabric est une plate-forme de syst\u00e8mes distribu\u00e9es qui facilite l\u2019emballage, le d\u00e9ploiement et la gestion de microservices et de conteneurs \u00e9volutifs et fiables. Service Fabric repr\u00e9sente la plate-forme de nouvelle g\u00e9n\u00e9ration pour la construction et la gestion de ces applications de classe entreprise, tier-1 et cloud fonctionnant dans des conteneurs.<\/li>\n<li><strong>Fonctions Azure<\/strong>. Les fonctions Azure permettent aux d\u00e9veloppeurs d\u2019agir en se connectant \u00e0 des sources de donn\u00e9es ou \u00e0 des solutions de messagerie, ce qui facilite le traitement et la r\u00e9action aux \u00e9v\u00e9nements. Les d\u00e9veloppeurs peuvent tirer parti des fonctions Azure pour cr\u00e9er des points de terminaison API bas\u00e9s sur HTTP accessibles par un large \u00e9ventail d\u2019applications, d\u2019appareils mobiles et ioT.<\/li>\n<li><strong>Machines virtuelles<\/strong>. Azure Virtual machine nous permettra de cr\u00e9er et d\u2019utiliser des machines virtuelles dans le cloud comme infrastructure comme un service. Nous pouvons utiliser une image fournie par Azure, ou partenaire, ou nous pouvons utiliser la n\u00f4tre pour cr\u00e9er la machine virtuelle.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2 id='types-d-autoscaling'  id=\"boomdevs_3\">Types d\u2019autoscaling<\/h2>\n<h2 id=''  id=\"boomdevs_4\">\u00a0<\/h2>\n<h3 id='vertical-autoscaling'  id=\"boomdevs_5\">Vertical Autoscaling<\/h3>\n<p>L\u2019\u00e9chelle verticale signifie que nous modifions la taille d\u2019un VM. Nous nous agrandissons si nous avons besoin d\u2019un VM plus grand qui a plus de ressources mat\u00e9rielles, et, d\u2019autre part, nous nous a r\u00e9duit au cas o\u00f9 nous n\u2019avons pas besoin de toutes les ressources disponibles et nous voulons diminuer la taille d\u2019un VM. Notre application h\u00e9berg\u00e9e dans ce VM reste inchang\u00e9e dans les deux cas. Ce type de <a class=\"inlinks\" href=\"https:\/\/www.loadview-testing.com\/fr\/blog\/tests-de-performance-vs-tests-devolutivite\/\">mise \u00e0 l\u2019\u00e9chelle n\u2019est pas tr\u00e8s efficace<\/a>, en particulier dans un environnement cloud, car la consommation des ressources n\u2019est pas optimis\u00e9e. Un autre inconv\u00e9nient principal est que la machine virtuelle doit \u00eatre arr\u00eat\u00e9e pour que sa taille change. Cela affecte notre application car elle doit \u00eatre hors ligne pendant que le VM est arr\u00eat\u00e9, resized, et red\u00e9marr\u00e9, et ces actions prennent g\u00e9n\u00e9ralement du temps. Bien s\u00fbr, nous pourrions garder notre VM inchang\u00e9, mais plut\u00f4t fournir une nouvelle machine virtuelle avec la taille d\u00e9sir\u00e9e et d\u00e9placer notre application une fois que le nouveau VM est pr\u00eat. Cela n\u00e9cessite toujours que notre application soit hors ligne pendant qu\u2019elle se d\u00e9place, mais le processus de d\u00e9placement de <a class=\"inlinks\" href=\"https:\/\/www.loadview-testing.com\/fr\/blog\/applications-de-test-de-charge-ecrites-dans-react-js\/\">l\u2019application est beaucoup plus court<\/a>.<\/p>\n<div id=\"attachment_20615\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20615\" class=\"wp-image-6148 size-large\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/vertical-scaling-1024x577.png\" alt=\"mise \u00e0 l\u2019\u00e9chelle verticale\" width=\"1024\" height=\"577\" srcset=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/vertical-scaling-980x552.png 980w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/vertical-scaling-480x270.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/><p id=\"caption-attachment-20615\" class=\"wp-caption-text\"><em>Figure 3<\/em><\/p><\/div>\n<p>&nbsp;<\/p>\n<div id=\"attachment_20616\" style=\"width: 310px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20616\" class=\"wp-image-6149 size-full\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/vertical-scaling-application-unavailable-e1594766226897.png\" alt=\"application de mise \u00e0 l\u2019\u00e9chelle verticale indisponible\" width=\"300\" height=\"389\" \/><p id=\"caption-attachment-20616\" class=\"wp-caption-text\"><em>Figure 3.1 &#8211; L\u2019application<\/em> devient indisponible lorsque l\u2019\u00e9chelle verticale est mise en place car il faut du temps pour red\u00e9marrer.<\/p><\/div>\n<p>&nbsp;<\/p>\n<h3 id='horizontal-autoscaling'  id=\"boomdevs_6\">Horizontal Autoscaling<\/h3>\n<p>L\u2019\u00e9chelle horizontale signifie que nous modifions le nombre de VMs en cours d\u2019ex\u00e9cution et maintenons les performances souhait\u00e9es en divisant la charge entre plusieurs instances d\u2019un m\u00eame VM. La taille de la machine virtuelle reste la m\u00eame. Nous n\u2019augmentons le nombre d\u2019entre eux qu\u2019en nous haussant, ou nous engons le nombre de VMs en cours d\u2019ex\u00e9cution \u00e0 un moment donn\u00e9 en faisant une mise \u00e0 l\u2019\u00e9chelle. En utilisant cette approche, nous pouvons commencer par la petite taille vm et de garder la consommation de ressources aussi optimale que possible. En outre, il n\u2019y a pas de temps d\u2019arr\u00eat pour notre application, car il y aura toujours au moins une instance de l\u2019application en cours d\u2019ex\u00e9cution. L\u2019\u00e9chelle horizontale n\u00e9cessite un 3\u00e8me de charge afin de r\u00e9partir la charge entre les VMs en cours d\u2019ex\u00e9cution uniform\u00e9ment. Mais heureusement pour nous, Azure le fait hors de la bo\u00eete avec z\u00e9ro action n\u00e9cessaire de notre c\u00f4t\u00e9.<\/p>\n<p>&nbsp;<\/p>\n<div id=\"attachment_20617\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20617\" class=\"wp-image-6150 size-large\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/horizontal-scaling-1024x454.png\" alt=\"mise \u00e0 l\u2019\u00e9chelle horizontale\" width=\"1024\" height=\"454\" srcset=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/horizontal-scaling-980x435.png 980w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/horizontal-scaling-480x213.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/><p id=\"caption-attachment-20617\" class=\"wp-caption-text\"><em>Figure 5<\/em>. Mise \u00e0 l\u2019\u00e9chelle lorsque le trafic augmente.<\/p><\/div>\n<p>&nbsp;<\/p>\n<div id=\"attachment_20618\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20618\" class=\"wp-image-6151 size-large\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/horizontal-scaling-traffic-decreases-1024x456.png\" alt=\"le trafic d\u2019\u00e9chelle horizontale diminue\" width=\"1024\" height=\"456\" srcset=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/horizontal-scaling-traffic-decreases-980x437.png 980w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/horizontal-scaling-traffic-decreases-480x214.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/><p id=\"caption-attachment-20618\" class=\"wp-caption-text\"><em>Figure 5.1<\/em> &#8211; Mise \u00e0 l\u2019\u00e9chelle lorsque le trafic diminue.<\/p><\/div>\n<p>&nbsp;<\/p>\n<h2 id='surveillance-et-alertes'  id=\"boomdevs_7\">Surveillance et alertes<\/h2>\n<p>Il existe de nombreuses fa\u00e7ons de surveiller si des ressources suppl\u00e9mentaires sont ajout\u00e9es sur Azure \u00e0 un service, dont certaines sont assez compliqu\u00e9es, par exemple, la lame de mise \u00e0 l\u2019\u00e9chelle d\u2019un service (Virtual Machine Scale Sets dans ce cas, figure 6). Il s\u2019agit d\u2019une m\u00e9thode qui est pr\u00e9f\u00e9r\u00e9e par les administrateurs, mais pas par les propri\u00e9taires et les contributeurs. Pour que les utilisateurs puissent les voir, nous devons \u00eatre connect\u00e9s au portail Azure qui peut prendre beaucoup de temps pour les utilisateurs.<\/p>\n<div id=\"attachment_20619\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20619\" class=\"wp-image-6152 size-large\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Virtual-Machine-Scale-Sets-1024x496.png\" alt=\"Ensembles d\u2019\u00e9chelle machine virtuels\" width=\"1024\" height=\"496\" srcset=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Virtual-Machine-Scale-Sets-1024x496.png 1024w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Virtual-Machine-Scale-Sets-980x475.png 980w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Virtual-Machine-Scale-Sets-480x233.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/><p id=\"caption-attachment-20619\" class=\"wp-caption-text\"><em>Figure 6<\/em><\/p><\/div>\n<p>&nbsp;<\/p>\n<h3 id='alertes'  id=\"boomdevs_8\">Alertes<\/h3>\n<p>Vous pouvez choisir d\u2019aviser les utilisateurs lorsque l\u2019\u00e9chelle automatique et l\u2019\u00e9chelle se produisent (service App).<\/p>\n<p>&nbsp;<\/p>\n<div id=\"attachment_20620\" style=\"width: 801px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20620\" class=\"wp-image-6153 size-full\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Azure-Autoscale-alerts.png\" alt=\"Alertes Azure Autoscale\" width=\"791\" height=\"843\" srcset=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Azure-Autoscale-alerts.png 791w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Azure-Autoscale-alerts-480x512.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 791px, 100vw\" \/><p id=\"caption-attachment-20620\" class=\"wp-caption-text\"><em>Figure 7<\/em><\/p><\/div>\n<p>&nbsp;<\/p>\n<p>Par d\u00e9faut, les informations d\u2019application sont utilis\u00e9es pour le service d\u2019application qui nous donne un aper\u00e7u du temps de r\u00e9ponse du serveur, des demandes, etc.<\/p>\n<p>&nbsp;<\/p>\n<div id=\"attachment_20621\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20621\" class=\"wp-image-6154 size-large\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Application-insights-1024x551.png\" alt=\"Aper\u00e7us de l\u2019application\" width=\"1024\" height=\"551\" srcset=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Application-insights-980x527.png 980w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Application-insights-480x258.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/><p id=\"caption-attachment-20621\" class=\"wp-caption-text\"><em>Figure 8<\/em>. Aper\u00e7us d\u2019application indiquant le temps de r\u00e9ponse moyen du serveur avec les demandes qu\u2019un service d\u2019application re\u00e7oit.<\/p><\/div>\n<p>&nbsp;<\/p>\n<p>C\u2019est ainsi que configurer l\u2019autoscaling dans un service d\u2019application. Tout d\u2019abord, passez \u00e0 Scale-out &gt; &gt; Configurez l\u2019\u00e9tat de &gt; l\u2019\u00e9chelle S\u00e9lectionnez la mesure appropri\u00e9e comme CPU, RAM, demandes, etc. &gt; \u00c9conomisez et c\u2019est fait.<\/p>\n<p>&nbsp;<\/p>\n<div id=\"attachment_20622\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20622\" class=\"wp-image-6156 size-large\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Configure-autoscale-1024x598.png\" alt=\"Configurer l\u2019\u00e9chelle automatique\" width=\"1024\" height=\"598\" srcset=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Configure-autoscale-980x572.png 980w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Configure-autoscale-480x280.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/><p id=\"caption-attachment-20622\" class=\"wp-caption-text\"><em>Figure 9<\/em>. Configurer les conditions d\u2019\u00e9chelle automatique dans un plan de service d\u2019application<\/p><\/div>\n<p>&nbsp;<\/p>\n<p>Lorsque vous utilisez Azure Autoscale, vous n\u2019avez pas \u00e0 vous soucier de la fa\u00e7on d\u2019impl\u00e9menter des \u00e9quilibreurs de charge, <a class=\"inlinks\" href=\"https:\/\/www.loadview-testing.com\/fr\/blog\/planification-de-laugmentation-du-trafic-web-planification-de-la-capacite-et-test-de-charge\/\">des gestionnaires de trafic<\/a>, etc. Azure g\u00e8re tout.<\/p>\n<p><em>Remarque : Les VMs Standalones ont besoin d\u2019une configuration suppl\u00e9mentaire. Toutefois, les ensembles d\u2019\u00e9chelles de machines virtuelles ne n\u00e9cessitent aucune action administrative lors de l\u2019autoscaling. Les balanceurs de charge sont cr\u00e9\u00e9s automatiquement.<\/em><\/p>\n<p>Azure App Services a une m\u00e9thode d\u2019autoscaling aveugle qui est g\u00e9r\u00e9e par Azure et vous ne voyez aucun service utilis\u00e9 individuellement dans les ressources. Au lieu de cela, il supprime les frais g\u00e9n\u00e9raux administratifs. Les utilisateurs se sentent peu ou pas de probl\u00e8mes de performances en gardant \u00e0 l\u2019esprit l\u2019autoscaling est atteint. Azure g\u00e8re la majeure partie de la partie d\u2019autoscaling, en dehors de sp\u00e9cifier les conditions de l\u2019\u00e9chelle automatique, il n\u2019y a pas grand-chose \u00e0 faire pour l\u2019utilisateur. Tout est g\u00e9r\u00e9 en douceur.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-6157 size-large\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Autoscale-run-history-1024x346.png\" alt=\"Historique de course \u00e0 l\u2019\u00e9chelle automatique\" width=\"1024\" height=\"346\" srcset=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Autoscale-run-history-980x331.png 980w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Autoscale-run-history-480x162.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>Dans la figure 10, il existe un VMSS (Virtual Machine Scale Sets) qui s\u2019\u00e9chelle automatiquement lorsque les conditions que vous mentionnez s\u2019av\u00e8rent vraies.<\/p>\n<p>&nbsp;<\/p>\n<div id=\"attachment_20624\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20624\" class=\"wp-image-6158 size-large\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Virtual-Machine-Scale-Sets-with-Load-Balancer-1024x712.png\" alt=\"Ensembles d\u2019\u00e9chelle machine virtuels avec balanceur de charge\" width=\"1024\" height=\"712\" srcset=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Virtual-Machine-Scale-Sets-with-Load-Balancer-1024x712.png 1024w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Virtual-Machine-Scale-Sets-with-Load-Balancer-980x681.png 980w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Virtual-Machine-Scale-Sets-with-Load-Balancer-480x334.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/><p id=\"caption-attachment-20624\" class=\"wp-caption-text\">Figure 10. Ensembles d\u2019\u00e9chelle machine virtuels avec balanceur de charge.<\/p><\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<h2 id='test-azure-autoscale'  id=\"boomdevs_9\">Test Azure Autoscale<\/h2>\n<p>Le test fait partie int\u00e9grante d\u2019une application Web. Sans test, nous ne pouvons pas savoir avec certitude si le serveur Web peut g\u00e9rer le trafic, pour cela, nous effectuons des tests. <a class=\"inlinks\" href=\"https:\/\/www.loadview-testing.com\/fr\/outils-de-test-dapplications-web-tests-de-charge-et-de-stress\/\">Les tests de r\u00e9sistance<\/a>, les tests de <a class=\"inlinks\" href=\"https:\/\/www.loadview-testing.com\/fr\/test-de-charge\/\">charge sont les quelques exemples de tests<\/a>. Pour qu\u2019il soit g\u00e9r\u00e9 uniquement sur Azure, inscrivez-vous \u00e0 une organisation DevOps dans le portail Azure, cr\u00e9ez un projet, puis vous serez redirig\u00e9 vers la <a class=\"inlinks\" href=\"https:\/\/www.loadview-testing.com\/fr\/blog\/tests-de-charge-applications-dune-seule-page\/\">page<\/a> suivante :<\/p>\n<p>&nbsp;<\/p>\n<div id=\"attachment_20625\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20625\" class=\"wp-image-6159 size-large\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Azure-DevOps-Dashboard-1024x512.png\" alt=\"Tableau de bord Azure DevOps\" width=\"1024\" height=\"512\" srcset=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Azure-DevOps-Dashboard-980x490.png 980w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Azure-DevOps-Dashboard-480x240.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/><p id=\"caption-attachment-20625\" class=\"wp-caption-text\"><em>Figure 11<\/em>. Tableau de bord DevOps pour les tests<\/p><\/div>\n<p>&nbsp;<\/p>\n<div id=\"attachment_20626\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20626\" class=\"wp-image-6160 size-large\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Azure-DevOps-Testing-Plan-1024x442.png\" alt=\"Plan de test Azure DevOps\" width=\"1024\" height=\"442\" srcset=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Azure-DevOps-Testing-Plan-980x423.png 980w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Azure-DevOps-Testing-Plan-480x207.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/><p id=\"caption-attachment-20626\" class=\"wp-caption-text\"><em>Figure 12<\/em>. Vous pouvez ajouter des URL \u00e0 des fins de test et examiner les param\u00e8tres du service utilis\u00e9 pour les tests.<\/p><\/div>\n<p>&nbsp;<\/p>\n<div id=\"attachment_20627\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20627\" class=\"wp-image-6161 size-large\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Average-CPU-percentage-by-instance-1024x491.png\" alt=\"Pourcentage moyen de CPU par exemple\" width=\"1024\" height=\"491\" srcset=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Average-CPU-percentage-by-instance-980x470.png 980w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Average-CPU-percentage-by-instance-480x230.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/><p id=\"caption-attachment-20627\" class=\"wp-caption-text\"><em>Figure 13<\/em>. Graphique CPU de l\u2019application test\u00e9e qui est sur VM.<\/p><\/div>\n<p>&nbsp;<\/p>\n<div id=\"attachment_20628\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20628\" class=\"wp-image-6162 size-large\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Sample-results-GET-API-1024x432.png\" alt=\"Exemples de r\u00e9sultats GET API\" width=\"1024\" height=\"432\" srcset=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Sample-results-GET-API-980x414.png 980w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/Sample-results-GET-API-480x203.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/><p id=\"caption-attachment-20628\" class=\"wp-caption-text\"><em>Graphique 14.<\/em> Exemple de r\u00e9sultats pour une API GET <a class=\"inlinks\" href=\"https:\/\/www.loadview-testing.com\/fr\/test-de-charge-api\/\">avec des d\u00e9tails tels que le temps de r\u00e9ponse<\/a>, la charge utilisateur, les requ\u00eates par seconde, etc.<\/p><\/div>\n<p>&nbsp;<\/p>\n<h2 id='utilisation-de-loadview-pour-v\u00e9rifier-que-azure-autoscale-fonctionne-correctement'  id=\"boomdevs_10\">Utilisation de LoadView pour v\u00e9rifier que Azure Autoscale fonctionne correctement<\/h2>\n<p>Comme nous le savons maintenant, quand une quantit\u00e9 de Processeur, RAM et IO est atteint, l\u2019autoscaling se produit. Ici, dans la figure 15, ce graphique est inclus dans un rapport fourni par <a href=\"https:\/\/www.loadview-testing.com\/fr\/\">LoadView lorsque<\/a> vous ex\u00e9cutez un test contre une certaine URL ou point de terminaison. Le premier graphique a un nombre constant d\u2019utilisateurs visitant le site selon notre strat\u00e9gie de test de charge et ainsi de suite, le temps de r\u00e9ponse moyen augmente consid\u00e9rablement.<\/p>\n<div id=\"attachment_20629\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20629\" class=\"wp-image-6163 size-large\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/LoadView-Average-response-time-without-autoscale-1024x439.png\" alt=\"LoadView Temps de r\u00e9ponse moyen sans \u00e9chelle automatique\" width=\"1024\" height=\"439\" srcset=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/LoadView-Average-response-time-without-autoscale-1024x439.png 1024w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/LoadView-Average-response-time-without-autoscale-980x420.png 980w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/LoadView-Average-response-time-without-autoscale-480x206.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/><p id=\"caption-attachment-20629\" class=\"wp-caption-text\"><em>Figure 15<\/em>. Temps de r\u00e9ponse moyen sans \u00e9chelle automatique<\/p><\/div>\n<p>&nbsp;<\/p>\n<p>Cependant, avec l\u2019autoscaling vient avantages. Dans la figure 16, lorsque les utilisateurs augmentent, notre instance h\u00e9bergeant l\u2019application Web s\u2019a d\u00e9forme selon les conditions et les temps de r\u00e9ponse moyens ne sont donc pas affect\u00e9s une fois l\u2019autoscaling termin\u00e9. Lorsque les utilisateurs ne sont plus connect\u00e9s, les instances qui ont \u00e9t\u00e9 cr\u00e9\u00e9es pour g\u00e9rer la charge impr\u00e9visible sont termin\u00e9es et seul le d\u00e9compte initial reste intact.<\/p>\n<p>&nbsp;<\/p>\n<div id=\"attachment_20630\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20630\" class=\"wp-image-6164 size-large\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/LoadView-Average-response-time-with-autoscale-1024x443.png\" alt=\"LoadView Temps de r\u00e9ponse moyen avec \u00e9chelle automatique\" width=\"1024\" height=\"443\" srcset=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/LoadView-Average-response-time-with-autoscale-1024x443.png 1024w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/LoadView-Average-response-time-with-autoscale-980x424.png 980w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/LoadView-Average-response-time-with-autoscale-480x208.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/><p id=\"caption-attachment-20630\" class=\"wp-caption-text\"><em>Figure 16<\/em>. Temps de r\u00e9ponse moyens avec autoscale<\/p><\/div>\n<p>&nbsp;<\/p>\n<p>Dans la figure 17, le test de charge fourni par <a class=\"inlinks\" href=\"https:\/\/www.loadview-testing.com\/fr\/blog\/tutoriel-de-test-de-charge-guide-dinstallation-loadview\/\">LoadView<\/a> fournit un moyen de tester l\u2019application \u00e0 l\u2019aide de session lorsque les sessions continuent d\u2019augmenter, ce qui facilite les tests appropri\u00e9s et si l\u2019application \u00e9volue automatiquement ou non.<\/p>\n<div id=\"attachment_20631\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-20631\" class=\"wp-image-6165 size-large\" src=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/LoadView-cumulative-sessions-1024x435.png\" alt=\"Sessions cumulatives LoadView\" width=\"1024\" height=\"435\" srcset=\"https:\/\/www.loadview-testing.com\/wp-content\/uploads\/LoadView-cumulative-sessions-1024x435.png 1024w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/LoadView-cumulative-sessions-980x417.png 980w, https:\/\/www.loadview-testing.com\/wp-content\/uploads\/LoadView-cumulative-sessions-480x204.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/><p id=\"caption-attachment-20631\" class=\"wp-caption-text\"><em>Figure 17<\/em>. Le nombre de sessions cumulatives<\/p><\/div>\n<p>&nbsp;<\/p>\n<h2 id='test-azure-autoscale-conclusion'  id=\"boomdevs_11\">Test Azure Autoscale: Conclusion<\/h2>\n<p>Lorsque vous impl\u00e9mentez Microsoft Azure Autoscale, vous n\u2019avez pas \u00e0 vous soucier de la fa\u00e7on d\u2019impl\u00e9menter des bilans de charge, des gestionnaires de trafic, etc. Azure g\u00e8re tout et s\u2019assure que la quantit\u00e9 correcte de ressources est en cours d\u2019ex\u00e9cution pour g\u00e9rer la charge de vos applications de vos tests. Toutefois, l\u2019utilisation d\u2019une solution comme LoadView garantit que l\u2019\u00e9chelle automatique fonctionne correctement et que vos utilisateurs ne connaissent aucune d\u00e9gradation des performances au fur et \u00e0 mesure que les ressources sont ajout\u00e9es.<\/p>\n<p><a href=\"https:\/\/userauth.dotcom-monitor.com\/Account\/LoadView-FreeTrialSignUp\">Essayez LoadView par vous-m\u00eame et avez re\u00e7u jusqu\u2019\u00e0 5 tests de charge gratuits pour commencer<\/a>.<\/p>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]\n","protected":false},"excerpt":{"rendered":"<p>Chaque composant applicatif du service que nous \u00e9crivons n\u00e9cessite des ressources pour s\u2019ex\u00e9cuter et fonctionner correctement. Il peut \u00eatre presque impossible de pr\u00e9voir exactement la quantit\u00e9 de ressources n\u00e9cessaires, car il y a beaucoup de pi\u00e8ces mobiles qui peuvent l\u2019influencer. La quantit\u00e9 de m\u00e9moire, de processeur ou de bande passante r\u00e9seau n\u00e9cessaire peut changer en [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":20632,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[549,511],"tags":[591,593,521],"class_list":["post-20598","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-experience-utilisateur","category-tests-de-performance","tag-autoscaling-fr","tag-microsoft-azure-autoscale-fr","tag-test-de-charge"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Test microsoft Azure Autoscale - LoadView<\/title>\n<meta name=\"description\" content=\"Microsoft Azure Autoscale lib\u00e8re DevOps de s\u2019inqui\u00e9ter des 3e et des gestionnaires de trafic. 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