{"id":46563,"date":"2026-03-09T18:48:47","date_gmt":"2026-03-09T18:48:47","guid":{"rendered":"\/fr\/tutoriels\/?p=46563"},"modified":"2026-03-09T21:10:44","modified_gmt":"2026-03-09T21:10:44","slug":"benchmark-n8n","status":"publish","type":"post","link":"\/fr\/tutoriels\/benchmark-n8n\/","title":{"rendered":"Benchmark n8n : consommation r\u00e9elle des ressources test\u00e9e"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Si vous h&eacute;bergez vous-m&ecirc;me n8n, vous vous &ecirc;tes probablement pos&eacute; la m&ecirc;me question que moi :<strong> <\/strong>Combien de ressources serveur mes flux de travail n8n consomment-ils r&eacute;ellement ? <\/p><p class=\"wp-block-paragraph\">En effet, il est essentiel de disposer de suffisamment de ressources pour maintenir des performances optimales, mais vous ne voulez pas d&eacute;penser trop d&rsquo;argent pour des ressources de serveur qui ne seront pas utilis&eacute;es.<\/p><p class=\"wp-block-paragraph\">Les sources en ligne indiquent diff&eacute;rents nombres de c&oelig;urs de processeur et de m&eacute;moire vive, comme un processeur &agrave; un seul c&oelig;ur et 2 Go de m&eacute;moire vive. Mais cela soul&egrave;ve des questions pratiques : <\/p><ul class=\"wp-block-list\">\n<li>Ai-je <em>vraiment<\/em> besoin d&rsquo;autant de ressources<em> <\/em>pour un simple flux de travail ?<\/li>\n\n\n\n<li>Si je d&eacute;ploie deux flux de travail, ai-je besoin d&rsquo;un serveur deux fois plus puissant ?<\/li>\n\n\n\n<li>Dans quelle mesure l&rsquo;utilisation des ressources de n8n est-elle pr&eacute;visible dans des sc&eacute;narios r&eacute;els ?<\/li>\n<\/ul><p class=\"wp-block-paragraph\">Pour r&eacute;pondre &agrave; ces questions, j&rsquo;ai effectu&eacute; une s&eacute;rie de tests en conditions r&eacute;elles afin de mesurer l&rsquo;utilisation du CPU, de la m&eacute;moire vive et du r&eacute;seau des flux de travail n8n dans diff&eacute;rentes conditions.<\/p><h2 class=\"wp-block-heading\" id=\"h-resume-points-cles\">R&eacute;sum&eacute; : points cl&eacute;s<\/h2><p class=\"wp-block-paragraph\">Avant d&rsquo;entrer dans les d&eacute;tails, voici les points cl&eacute;s &agrave; retenir de mon test :<\/p><ul class=\"wp-block-list\">\n<li><strong>La consommation de ressources d&eacute;pend du n&oelig;ud<\/strong>. Les n&oelig;uds qui interagissent avec des sources externes, comme le n&oelig;ud de requ&ecirc;te HTTP, consomment davantage de ressources d&rsquo;E\/S r&eacute;seau que les n&oelig;uds qui ex&eacute;cutent des t&acirc;ches localement. Cependant, la m&eacute;moire vive est la ressource dominante dans presque tous les n&oelig;uds, qu&rsquo;ils soient internes ou externes.<\/li>\n\n\n\n<li><strong><strong>La mise &agrave; l&rsquo;&eacute;chelle est quelque peu lin&eacute;aire<\/strong>. <\/strong>L&rsquo;ex&eacute;cution de plusieurs flux de travail <em>identiques<\/em> se traduit souvent par une mise &agrave; l&rsquo;&eacute;chelle &agrave; peu pr&egrave;s lin&eacute;aire. Une fois la vari&eacute;t&eacute; des n&oelig;uds introduite, l&rsquo;utilisation des ressources devient beaucoup moins pr&eacute;visible.<\/li>\n\n\n\n<li><strong>Les retards ne r&eacute;duisent pas le pic d&rsquo;utilisation<\/strong>. L&rsquo;ajout d&rsquo;un intervalle entre les ex&eacute;cutions de n&oelig;uds n&rsquo;affecte pas le pic d&rsquo;utilisation. Cependant, il vous permet d&rsquo;&eacute;taler l&rsquo;allocation des ressources dans le temps pour faire de la place &agrave; d&rsquo;autres flux de travail.<\/li>\n\n\n\n<li><strong>Ex&eacute;cution parall&egrave;le ou s&eacute;quentielle des flux de travail. <\/strong>Il n&rsquo;y a pas de diff&eacute;rence d&eacute;finitive dans l&rsquo;utilisation maximale du mat&eacute;riel entre l&rsquo;ex&eacute;cution de flux de travail en parall&egrave;le et en s&eacute;quentiel.<\/li>\n\n\n\n<li><strong>Le mode file d&rsquo;attente du n8n n&rsquo;est pas une solution miracle. <\/strong>L&rsquo;activation du mode file d&rsquo;attente n8n double grosso modo l&rsquo;utilisation de la RAM de base, m&ecirc;me en cas d&rsquo;inactivit&eacute;. Elle ne r&eacute;duit pas les pics d&rsquo;utilisation pour les petites installations et n&rsquo;a de sens qu&rsquo;&agrave; plus grande &eacute;chelle.<\/li>\n<\/ul><h2 class=\"wp-block-heading\" id=\"h-methodologie-du-benchmark-n8n\">M&eacute;thodologie du benchmark n8n<\/h2><p class=\"wp-block-paragraph\">Ce benchmark se concentre sur l&rsquo;utilisation maximale du CPU, de la RAM et des E\/S r&eacute;seau du serveur h&ocirc;te.<\/p><p class=\"wp-block-paragraph\">Il convient de noter qu&rsquo;il existe d&rsquo;autres crit&egrave;res de r&eacute;f&eacute;rence pour le n8n. Par exemple, l&rsquo;article du blog <strong>n8n<\/strong> <strong>Scalability Benchmark<\/strong> examine comment la plateforme g&egrave;re un grand nombre de demandes, en se concentrant sur des mesures telles que le taux d&rsquo;&eacute;chec et le temps de r&eacute;ponse. <\/p><p class=\"wp-block-paragraph\">Cependant, au lieu d&rsquo;un benchmark synth&eacute;tique contr&ocirc;l&eacute;, je me suis concentr&eacute; sur l&rsquo;utilisation maximale des ressources dans le monde r&eacute;el, dans le cadre de sc&eacute;narios d&rsquo;automatisation pratiques.<\/p><p>\n\n\n<div class=\"protip\">\n            <div class=\"protip__heading\">\n                <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                    <path d=\"M1.49234 23.5024C1.23229 23.5024 0.972242 23.4024 0.782206 23.2123C0.562165 22.9923 0.452144 22.6822 0.502153 22.3722C0.562165 21.9221 1.14227 17.9113 3.00262 16.351C3.63274 15.8209 4.43289 15.5509 5.26305 15.5609C6.09321 15.5909 6.87335 15.9109 7.47347 16.4911C8.6937 17.6913 8.76371 19.6717 7.6435 20.9919C6.0832 22.8523 2.08245 23.4324 1.63237 23.4924C1.59236 23.4924 1.54235 23.4924 1.50234 23.4924L1.49234 23.5024ZM5.16303 17.5613C4.84297 17.5613 4.53291 17.6713 4.29287 17.8813C3.60274 18.4614 3.07264 19.9317 2.75258 21.242C4.06282 20.9219 5.5331 20.3918 6.11321 19.7017C6.55329 19.1716 6.54329 18.3814 6.0832 17.9213C5.85316 17.7013 5.5431 17.5713 5.20304 17.5613C5.19304 17.5613 5.17303 17.5613 5.16303 17.5613ZM11.7243 21.8821C11.4942 21.8821 11.2642 21.8021 11.0841 21.652C10.8541 21.462 10.7241 21.1819 10.7241 20.8819V15.9109L8.08358 13.2705H3.11264C2.81259 13.2705 2.53254 13.1404 2.3425 12.9104C2.15246 12.6803 2.07245 12.3803 2.12246 12.0902C2.19247 11.7102 2.84259 8.36953 4.70294 7.12929C6.33325 6.04909 8.96375 6.49918 10.244 6.80923C11.5442 4.96889 13.2546 3.4286 15.2349 2.33839C17.4553 1.11816 19.9858 0.518051 22.4963 0.498047C23.0464 0.498047 23.4865 0.948132 23.4865 1.49824C23.4865 5.0389 22.3763 9.97983 17.1753 13.7605C17.4853 15.0408 17.9354 17.6613 16.8552 19.2816C15.615 21.1419 12.2744 21.7921 11.8943 21.8621C11.8343 21.8721 11.7743 21.8821 11.7143 21.8821H11.7243ZM12.7245 16.181V19.6016C13.7146 19.2916 14.7948 18.7915 15.2049 18.1814C15.675 17.4812 15.605 16.091 15.385 14.9008C14.5248 15.3808 13.6346 15.8109 12.7245 16.181ZM9.66388 12.0302L11.9643 14.3307C13.1845 13.8306 14.3648 13.2204 15.485 12.5103C19.9358 9.51974 21.2361 5.60901 21.4561 2.53843C19.6157 2.67846 17.8254 3.20856 16.2051 4.09872C14.2847 5.14892 12.6544 6.68921 11.4942 8.54956C10.7841 9.65977 10.174 10.82 9.66388 12.0302ZM4.39289 11.2701H7.81353C8.1936 10.3599 8.63368 9.46974 9.11377 8.60957C7.92355 8.38953 6.51329 8.31952 5.81315 8.78961C5.19304 9.19968 4.70294 10.3099 4.39289 11.2701Z\" fill=\"#673DE6\"\/>\n                <\/svg>\n                <p class=\"protip__title\">\n                    Conseil d'expert\n                <\/p>\n            <\/div>\n            <p class=\"protip__content\">Si vous ne savez pas quel plan VPS Hostinger correspond le mieux &agrave; vos besoins, commencez par KVM 2 &ndash; il fournit une base solide et peut &ecirc;tre mis &agrave; niveau instantan&eacute;ment en un seul clic au fur et &agrave; mesure que vos besoins augmentent.<\/p>\n                <div class=\"protip__expert\">\n                    <div class=\"protip__expert-image\">\n                        <img decoding=\"async\" width=\"48\" height=\"48\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2025\/09\/minijus-savickas.jpg\/w=65,h=65,fit=scale-down\" alt=\"Editor\" \/>\n                    <\/div>\n                    <div>\n                        <p class=\"protip__expert-name\">Minijus Savickas<\/p>\n                        <p class=\"protip__expert-position\">Responsable produit VPS<\/p>\n                    <\/div>\n                <\/div>\n        <\/div>\n\n\n\n<\/p><p class=\"wp-block-paragraph\">Examinons la m&eacute;thodologie plus en d&eacute;tail, en commen&ccedil;ant par comprendre l&rsquo;environnement de test. <\/p><h3 class=\"wp-block-heading\">Environnement de test et outils pour le benchmark n8n<\/h3><p class=\"wp-block-paragraph\">Voici la configuration que j&rsquo;ai utilis&eacute;e pour effectuer les tests de r&eacute;f&eacute;rence n8n :<\/p><ul class=\"wp-block-list\">\n<li><strong>Serveur<\/strong>. Plan d&rsquo;h&eacute;bergement Hostinger<strong> KVM 2 VPS<\/strong>.<\/li>\n\n\n\n<li><strong>Syst&egrave;me d&rsquo;exploitation<\/strong>. Linux <strong>Ubuntu 24.04 LTS<\/strong>.<\/li>\n\n\n\n<li><strong>Outil<\/strong>.<strong> btop <\/strong>pour la surveillance, <strong>Docker<\/strong> pour l&rsquo;ex&eacute;cution de n8n dans un conteneur.<\/li>\n<\/ul><p class=\"wp-block-paragraph\">J&rsquo;ai choisi Hostinger KVM 2 parce qu&rsquo;il offre beaucoup de ressources sans &ecirc;tre trop cher. Avec <strong>deux c&oelig;urs vCPU<\/strong>, <strong>8 Go de RAM<\/strong> et <strong>100 Go de stockage SSD NVMe<\/strong>, il offre une grande marge de man&oelig;uvre si les tests l&rsquo;exigent. <\/p><p class=\"wp-block-paragraph\">En ce qui concerne le syst&egrave;me d&rsquo;exploitation, j&rsquo;ai choisi <strong>Ubuntu 24.04 LTS<\/strong> simplement parce qu&rsquo;il est stable, facile &agrave; utiliser et populaire. Si vous utilisez une distribution plus minimale, il peut y avoir de l&eacute;g&egrave;res diff&eacute;rences de performances, mais cela ne devrait pas changer la donne. <\/p><p class=\"wp-block-paragraph\">J&rsquo;ai d&eacute;ploy&eacute; <strong>n8n sur Docker<\/strong>. C&rsquo;est l&rsquo;approche d&rsquo;auto-h&eacute;bergement recommand&eacute;e, et avec le mod&egrave;le VPS d&rsquo;Hostinger, l&rsquo;<a href=\"\/fr\/tutoriels\/installer-n8n\/\">installation de n8n<\/a> dans un conteneur ne prend que quelques clics. J&rsquo;ai &eacute;galement configur&eacute; le <strong>mode file d&rsquo;attente n8n<\/strong> en utilisant le mod&egrave;le de Hostinger et ses param&egrave;tres pr&eacute;configur&eacute;s par d&eacute;faut.<\/p><p>\n\n\n        <div class=\"protip\">\n            <div class=\"protip__heading\">\n                <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                    <path d=\"M1.49234 23.5024C1.23229 23.5024 0.972242 23.4024 0.782206 23.2123C0.562165 22.9923 0.452144 22.6822 0.502153 22.3722C0.562165 21.9221 1.14227 17.9113 3.00262 16.351C3.63274 15.8209 4.43289 15.5509 5.26305 15.5609C6.09321 15.5909 6.87335 15.9109 7.47347 16.4911C8.6937 17.6913 8.76371 19.6717 7.6435 20.9919C6.0832 22.8523 2.08245 23.4324 1.63237 23.4924C1.59236 23.4924 1.54235 23.4924 1.50234 23.4924L1.49234 23.5024ZM5.16303 17.5613C4.84297 17.5613 4.53291 17.6713 4.29287 17.8813C3.60274 18.4614 3.07264 19.9317 2.75258 21.242C4.06282 20.9219 5.5331 20.3918 6.11321 19.7017C6.55329 19.1716 6.54329 18.3814 6.0832 17.9213C5.85316 17.7013 5.5431 17.5713 5.20304 17.5613C5.19304 17.5613 5.17303 17.5613 5.16303 17.5613ZM11.7243 21.8821C11.4942 21.8821 11.2642 21.8021 11.0841 21.652C10.8541 21.462 10.7241 21.1819 10.7241 20.8819V15.9109L8.08358 13.2705H3.11264C2.81259 13.2705 2.53254 13.1404 2.3425 12.9104C2.15246 12.6803 2.07245 12.3803 2.12246 12.0902C2.19247 11.7102 2.84259 8.36953 4.70294 7.12929C6.33325 6.04909 8.96375 6.49918 10.244 6.80923C11.5442 4.96889 13.2546 3.4286 15.2349 2.33839C17.4553 1.11816 19.9858 0.518051 22.4963 0.498047C23.0464 0.498047 23.4865 0.948132 23.4865 1.49824C23.4865 5.0389 22.3763 9.97983 17.1753 13.7605C17.4853 15.0408 17.9354 17.6613 16.8552 19.2816C15.615 21.1419 12.2744 21.7921 11.8943 21.8621C11.8343 21.8721 11.7743 21.8821 11.7143 21.8821H11.7243ZM12.7245 16.181V19.6016C13.7146 19.2916 14.7948 18.7915 15.2049 18.1814C15.675 17.4812 15.605 16.091 15.385 14.9008C14.5248 15.3808 13.6346 15.8109 12.7245 16.181ZM9.66388 12.0302L11.9643 14.3307C13.1845 13.8306 14.3648 13.2204 15.485 12.5103C19.9358 9.51974 21.2361 5.60901 21.4561 2.53843C19.6157 2.67846 17.8254 3.20856 16.2051 4.09872C14.2847 5.14892 12.6544 6.68921 11.4942 8.54956C10.7841 9.65977 10.174 10.82 9.66388 12.0302ZM4.39289 11.2701H7.81353C8.1936 10.3599 8.63368 9.46974 9.11377 8.60957C7.92355 8.38953 6.51329 8.31952 5.81315 8.78961C5.19304 9.19968 4.70294 10.3099 4.39289 11.2701Z\" fill=\"#673DE6\"\/>\n                <\/svg>\n                <p class=\"protip__title\">\n                    Faut-il tenir compte de la surcharge Docker&#8239;? &#128051;                <\/p>\n            <\/div>\n            <p class=\"protip__content\">Docker fonctionne de mani&egrave;re proche des performances natives puisqu'il partage le noyau h&ocirc;te. En pratique, la surcharge est n&eacute;gligeable par rapport &agrave; l'ex&eacute;cution de n8n directement sur l'h&ocirc;te.<\/p>\n                    <\/div>\n        \n\n\n\n<\/p><p class=\"wp-block-paragraph\">Pour la surveillance, j&rsquo;ai utilis&eacute; <strong>btop<\/strong> parce qu&rsquo;il est simple et suffisant pour collecter des donn&eacute;es pour ce benchmark. Il fournit &eacute;galement un graphique qui simplifie le processus de surveillance. <\/p><h3 class=\"wp-block-heading\">Sc&eacute;narios de test du benchmark n8n et m&eacute;triques suivies<\/h3><p class=\"wp-block-paragraph\">Pour r&eacute;aliser le benchmark, j&rsquo;ai effectu&eacute; chacun des tests suivants &agrave; un intervalle de 2 secondes pendant plusieurs minutes afin d&rsquo;obtenir des donn&eacute;es coh&eacute;rentes. Pour certains sc&eacute;narios, j&rsquo;ai augment&eacute; l&rsquo;intervalle pour &eacute;viter les limites de taux de l&rsquo;API.<\/p><p class=\"wp-block-paragraph\">Pour chaque test, j&rsquo;ai suivi les valeurs maximales pour :<\/p><ul class=\"wp-block-list\">\n<li><strong>Utilisation du CPU<\/strong><\/li>\n\n\n\n<li><strong>Consommation de la RAM<\/strong><\/li>\n\n\n\n<li><strong>R&eacute;seau E\/S<\/strong> <\/li>\n<\/ul><p class=\"wp-block-paragraph\"><strong>Test 1 : <strong>benchmark au niveau des n&oelig;uds<\/strong><\/strong><\/p><p class=\"wp-block-paragraph\">Ce test a permis d&rsquo;isoler des n&oelig;uds individuels pour y r&eacute;pondre :<\/p><ul class=\"wp-block-list\">\n<li>Quelle quantit&eacute; de CPU, de RAM et de bande passante r&eacute;seau un n&oelig;ud consomme-t-il ?<\/li>\n\n\n\n<li>Les n&oelig;uds qui interagissent avec des services externes n&eacute;cessitent-ils plus de ressources que ceux qui fonctionnent de mani&egrave;re ind&eacute;pendante au sein de n8n ?<\/li>\n\n\n\n<li>La consommation de ressources augmente-t-elle lin&eacute;airement avec le nombre de n&oelig;uds ?<\/li>\n<\/ul><p>\n\n\n<div class=\"announcement-block announcement-block--important\">\n            <span class=\"announcement-block__heading\">\n                <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                    <path fill-rule=\"evenodd\" clip-rule=\"evenodd\"\n                          d=\"M12 22.5C17.799 22.5 22.5 17.799 22.5 12C22.5 6.20101 17.799 1.5 12 1.5C6.20101 1.5 1.5 6.20101 1.5 12C1.5 17.799 6.20101 22.5 12 22.5ZM13.637 7.65198C13.637 6.74791 12.9041 6.01501 12 6.01501C11.0959 6.01501 10.363 6.74791 10.363 7.65198C10.5335 9.53749 10.875 13.383 10.875 13.383C10.875 14.0043 11.3787 14.508 12 14.508C12.6213 14.508 13.125 14.0043 13.125 13.383V13.38L13.637 7.65198ZM11.9927 15.714C11.3714 15.714 10.8677 16.2177 10.8677 16.839C10.8677 17.4603 11.3714 17.964 11.9927 17.964H12.0073C12.6286 17.964 13.1323 17.4603 13.1323 16.839C13.1323 16.2177 12.6286 15.714 12.0073 15.714H11.9927Z\"\n                          fill=\"#FEA419\"\/>\n                <\/svg>\n                Important\n            <\/span>\n            <p class=\"announcement-block__content\">\n                <strong>Important !<\/strong> Par souci de simplicit&eacute;, j&rsquo;appellerai <strong>n&oelig;uds externes<\/strong> les n&oelig;uds qui n&eacute;cessitent une interaction avec des services externes et <strong>n&oelig;uds internes<\/strong> ceux qui fonctionnent de mani&egrave;re ind&eacute;pendante au sein de n8n. \n            <\/p><\/div>\n\n\n\n<\/p><p class=\"wp-block-paragraph\"><strong>Test 2 : <strong>benchmark pour un workflow unique<\/strong><\/strong><\/p><p class=\"wp-block-paragraph\">Ce test porte sur des flux de travail complets :<\/p><ul class=\"wp-block-list\">\n<li>Flux de travail simple avec deux n&oelig;uds internes<\/li>\n\n\n\n<li>Flux de travail complexe avec sept n&oelig;uds internes<\/li>\n\n\n\n<li>Flux de travail complexe avec un total de sept n&oelig;uds, une combinaison de n&oelig;uds internes et externes.<\/li>\n\n\n\n<li>Effet de l&rsquo;ajout de d&eacute;lais d&rsquo;ex&eacute;cution<\/li>\n<\/ul><p class=\"wp-block-paragraph\"><strong>Test 3 : <strong>plusieurs workflows dans une seule instance<\/strong><\/strong><\/p><p class=\"wp-block-paragraph\">Ce test a examin&eacute; : <\/p><ul class=\"wp-block-list\">\n<li>La consommation de CPU, de RAM et de trafic augmente-t-elle de fa&ccedil;on lin&eacute;aire avec le nombre de flux de travail identiques ?<\/li>\n\n\n\n<li>La consommation de ressources est-elle pr&eacute;visible en fonction du nombre et du type de flux de travail en cours ?<\/li>\n\n\n\n<li>L&rsquo;ex&eacute;cution altern&eacute;e de plusieurs flux de travail est-elle une strat&eacute;gie viable pour minimiser les pics de ressources ?<\/li>\n<\/ul><p class=\"wp-block-paragraph\"><strong>Test 4 : <strong>Benchmark en mode file d&rsquo;attente<\/strong><\/strong><\/p><p class=\"wp-block-paragraph\">Je voulais v&eacute;rifier l&rsquo;impact du mode queue de n8n sur la consommation de ressources d&rsquo;un flux de travail :<\/p><ul class=\"wp-block-list\">\n<li>Le mode file d&rsquo;attente n8n permet-il de minimiser l&rsquo;utilisation du CPU, de la m&eacute;moire vive et du r&eacute;seau ? Si oui, de combien ?<\/li>\n\n\n\n<li>Quels sont les inconv&eacute;nients &eacute;ventuels de l&rsquo;utilisation du mode file d&rsquo;attente du n8n ?<\/li>\n\n\n\n<li>Le mode file d&rsquo;attente de n8n est-il une option viable pour l&rsquo;ex&eacute;cution de flux de travail sur un syst&egrave;me bas de gamme ?<\/li>\n<\/ul><p class=\"wp-block-paragraph\">Entre les tests, j&rsquo;ai attendu que l&rsquo;utilisation des ressources revienne &agrave; un niveau proche de la base de r&eacute;f&eacute;rence afin d&rsquo;&eacute;viter des r&eacute;sultats biais&eacute;s.<\/p><p>\n\n\n<div class=\"announcement-block announcement-block--important\">\n            <span class=\"announcement-block__heading\">\n                <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                    <path fill-rule=\"evenodd\" clip-rule=\"evenodd\"\n                          d=\"M12 22.5C17.799 22.5 22.5 17.799 22.5 12C22.5 6.20101 17.799 1.5 12 1.5C6.20101 1.5 1.5 6.20101 1.5 12C1.5 17.799 6.20101 22.5 12 22.5ZM13.637 7.65198C13.637 6.74791 12.9041 6.01501 12 6.01501C11.0959 6.01501 10.363 6.74791 10.363 7.65198C10.5335 9.53749 10.875 13.383 10.875 13.383C10.875 14.0043 11.3787 14.508 12 14.508C12.6213 14.508 13.125 14.0043 13.125 13.383V13.38L13.637 7.65198ZM11.9927 15.714C11.3714 15.714 10.8677 16.2177 10.8677 16.839C10.8677 17.4603 11.3714 17.964 11.9927 17.964H12.0073C12.6286 17.964 13.1323 17.4603 13.1323 16.839C13.1323 16.2177 12.6286 15.714 12.0073 15.714H11.9927Z\"\n                          fill=\"#FEA419\"\/>\n                <\/svg>\n                Important\n            <\/span>\n            <p class=\"announcement-block__content\">\n                 <strong>Important !<\/strong> Lors de mes tests, il est arriv&eacute; que l&rsquo;utilisation de RAM au repos s&rsquo;&eacute;carte consid&eacute;rablement de la base de r&eacute;f&eacute;rence initiale. Dans ce cas, j&rsquo;ai normalis&eacute; la valeur pour m&rsquo;assurer que le r&eacute;sultat est coh&eacute;rent. J&rsquo;ai soustrait la nouvelle base de r&eacute;f&eacute;rence de la premi&egrave;re, puis j&rsquo;ai ajout&eacute; la diff&eacute;rence au r&eacute;sultat du benchmark RAM. Par exemple, si la ligne de base initiale est de 800 Mo et la nouvelle de 824 Mo, la diff&eacute;rence est de -24. Cela signifie qu&rsquo;une utilisation de 900 Mo de RAM sera normalis&eacute;e &agrave; 876 Mo.\n            <\/p><\/div>\n\n\n\n<\/p><h3 class=\"wp-block-heading\">Limites et mises en garde concernant le benchmark<\/h3><p class=\"wp-block-paragraph\">Ce benchmark vise &agrave; refl&eacute;ter l&rsquo;utilisation r&eacute;elle des flux de travail n8n, mais plusieurs facteurs influencent les r&eacute;sultats :<\/p><ul class=\"wp-block-list\">\n<li><strong>Variation des n&oelig;uds<\/strong>. Il existe des centaines de n&oelig;uds n8n ayant des comportements diff&eacute;rents, qui peuvent consommer les ressources diff&eacute;remment de ceux que j&rsquo;ai test&eacute;s.<\/li>\n\n\n\n<li><strong>Environnement d&rsquo;h&eacute;bergement<\/strong>. L&rsquo;environnement d&rsquo;h&eacute;bergement et la configuration que j&rsquo;utilise pour d&eacute;ployer n8n sont relativement minimes. Les performances peuvent &ecirc;tre plus ou moins &eacute;lev&eacute;es selon le type de serveur, le syst&egrave;me d&rsquo;exploitation ou la m&eacute;thode de d&eacute;ploiement que vous utilisez.<\/li>\n\n\n\n<li><strong>Logique de flux de travail<\/strong>. Les flux de travail dans ce benchmark sont simples et n&rsquo;impliquent pas de logique complexe. Si vos flux de travail traitent de grandes quantit&eacute;s de donn&eacute;es ou de fichiers, attendez-vous &agrave; une utilisation plus importante des ressources.<\/li>\n\n\n\n<li><strong>&Eacute;chelle de d&eacute;ploiement.<\/strong> J&rsquo;utilise des flux de travail contenant moins de 10 n&oelig;uds pour effectuer le test. L&rsquo;utilisation d&rsquo;un plus grand nombre de n&oelig;uds augmente la consommation de ressources.<\/li>\n<\/ul><p class=\"wp-block-paragraph\">Cela dit, soyons clairs : ce test n&rsquo;est pas une solution universelle qui d&eacute;termine la configuration mat&eacute;rielle minimale requise pour votre flux de travail n8n. <\/p><p class=\"wp-block-paragraph\">Vos r&eacute;sultats varieront en fonction de votre utilisation et de votre configuration r&eacute;elles. Au lieu d&rsquo;utiliser le r&eacute;sultat du test comme norme, consid&eacute;rez-le comme un guide pour comprendre le comportement r&eacute;el de n8n, ce qui vous aidera &agrave; mieux planifier votre environnement d&rsquo;h&eacute;bergement et votre strat&eacute;gie de mise &agrave; l&rsquo;&eacute;chelle.<\/p><h2 class=\"wp-block-heading\" id=\"h-resultats-du-benchmark-n8n\">R&eacute;sultats du benchmark n8n<\/h2><p class=\"wp-block-paragraph\">Voici le r&eacute;sultat de mon benchmark n8n avec diff&eacute;rents sc&eacute;narios de test. <\/p><h3 class=\"wp-block-heading\">Benchmark n8n au niveau des n&oelig;uds<\/h3><p class=\"wp-block-paragraph\">Avant d&rsquo;ex&eacute;cuter un n&oelig;ud, j&rsquo;ai v&eacute;rifi&eacute; la consommation de ressources du serveur au repos pour &eacute;tablir une base de r&eacute;f&eacute;rence.<\/p><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure data-wp-context='{\"imageId\":\"6a711279e0f9c\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a711279e0f9c\" class=\"size-full wp-lightbox-container\"><img decoding=\"async\" width=\"1024\" height=\"745\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-23.png\/public\" alt=\"Un graphique de la consommation de ressources n8n en cas d'inactivit&eacute;\" class=\"wp-image-46829\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-23.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-23.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-23.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-23.png\/w=768,fit=scale-down 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><p class=\"wp-block-paragraph\">Sans n&oelig;ud actif ni flux de travail, n8n a consomm&eacute; <strong>0 %<\/strong> <strong>du CPU <\/strong>et <strong>860 Mo de RAM<\/strong>. L&rsquo;<strong>E\/S r&eacute;seau <\/strong>n&rsquo;a atteint que quelques octets ou un kilo-octet &agrave; un chiffre, c&rsquo;est pourquoi je l&rsquo;ai normalis&eacute; &agrave; z&eacute;ro parce qu&rsquo;il est insignifiant. <\/p><p class=\"wp-block-paragraph\">J&rsquo;ai ensuite effectu&eacute; le test avec ces flux de travail :<\/p><ol class=\"wp-block-list\">\n<li>Un flux de travail avec un seul n&oelig;ud interne <strong>Code <\/strong>qui g&eacute;n&egrave;re 1 00 nombres d&eacute;cimaux al&eacute;atoires &agrave; l&rsquo;aide de JavaScript.<\/li>\n\n\n\n<li>Un flux de travail avec deux n&oelig;uds internes <strong>Code <\/strong>identiques, g&eacute;n&eacute;rant tous deux des nombres al&eacute;atoires de 100 d&eacute;cimales.<\/li>\n\n\n\n<li>Un flux de travail avec un seul n&oelig;ud<strong> Google Sheet Get Row <\/strong>qui r&eacute;cup&egrave;re les donn&eacute;es d&rsquo;une colonne d&rsquo;une feuille.<\/li>\n\n\n\n<li>Un flux de travail avec deux n&oelig;uds <strong>Google Sheet<\/strong>, l&rsquo;un pour extraire les donn&eacute;es et l&rsquo;autre pour les &eacute;crire.<\/li>\n<\/ol><p class=\"wp-block-paragraph\">La consommation de ressources pour tous les tests, par rapport &agrave; l&rsquo;&eacute;tat d&rsquo;inactivit&eacute;, est la suivante :<\/p><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure data-wp-context='{\"imageId\":\"6a711279e51b3\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a711279e51b3\" class=\"size-full wp-lightbox-container\"><img decoding=\"async\" width=\"1024\" height=\"615\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-24.png\/public\" alt=\"Graphique de l'utilisation de CPU du benchmark n8n au niveau des n&oelig;uds, montrant que l'utilisation de CPU augmente avec le nombre de n&oelig;uds.\" class=\"wp-image-46830\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-24.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-24.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-24.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-24.png\/w=768,fit=scale-down 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure class=\"wp-lightbox-container\" data-wp-context='{\"imageId\":\"6a711279e7ec0\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a711279e7ec0\"><img decoding=\"async\" width=\"1428\" height=\"1028\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-25.png\/w=1024,h=1024,fit=scale-down\" alt=\"Graphique de l'utilisation de la m&eacute;moire vive et du r&eacute;seau au niveau du n&oelig;ud n8n, montrant que l'utilisation de la m&eacute;moire vive et du r&eacute;seau augmente avec le nombre et le type de n&oelig;uds.\" class=\"wp-image-46831\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-25.png\/w=1428,fit=scale-down 1428w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-25.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-25.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-25.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-25.png\/w=768,fit=scale-down 768w\" sizes=\"(max-width: 1428px) 100vw, 1428px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><p class=\"wp-block-paragraph\">Les r&eacute;sultats sont conformes aux attentes : la consommation de ressources a augment&eacute; lorsque j&rsquo;ai ajout&eacute; des n&oelig;uds. Cela dit, le comportement de mise &agrave; l&rsquo;&eacute;chelle n&rsquo;&eacute;tait ni lin&eacute;aire ni pr&eacute;visible. <\/p><p class=\"wp-block-paragraph\">Par exemple, un n&oelig;ud interne a augment&eacute; l&rsquo;utilisation de la m&eacute;moire vive de <strong>9 Mo <\/strong>par rapport &agrave; l&rsquo;&eacute;tat d&rsquo;inactivit&eacute;. Cependant, lorsque j&rsquo;ai ins&eacute;r&eacute; le m&ecirc;me n&oelig;ud, l&rsquo;utilisation de la m&eacute;moire a augment&eacute; de<strong> 5 Mo<\/strong>. Ce comportement &eacute;tait &eacute;galement pr&eacute;sent avec les n&oelig;uds externes. <\/p><p class=\"wp-block-paragraph\">En ce qui concerne les n&oelig;uds externes, ils repr&eacute;sentent en effet une charge d&rsquo;E\/S r&eacute;seau plus importante, jusqu&rsquo;&agrave; <strong>10<\/strong> fois sup&eacute;rieure &agrave; celle des n&oelig;uds internes. L&rsquo;utilisation du r&eacute;seau a &eacute;galement augment&eacute; de mani&egrave;re significative lorsque j&rsquo;ai ajout&eacute; le deuxi&egrave;me n&oelig;ud externe, contrairement au CPU et &agrave; la RAM. <\/p><h3 class=\"wp-block-heading\">Benchmark n8n pour un workflow unique<\/h3><p class=\"wp-block-paragraph\">Apr&egrave;s avoir compris le comportement du n&oelig;ud de mani&egrave;re isol&eacute;e, j&rsquo;ai voulu v&eacute;rifier les performances d&rsquo;un flux de travail r&eacute;el. Voici une liste des flux de travail que j&rsquo;ai utilis&eacute;s :<\/p><ol class=\"wp-block-list\">\n<li>Flux de travail simple avec <strong>deux n&oelig;uds internes uniques <\/strong>pour g&eacute;n&eacute;rer 100 nombres entiers al&eacute;atoires et calculer la moyenne.<\/li>\n\n\n\n<li>Flux de travail complexe avec<strong> sept n&oelig;uds internes uniques <\/strong>pour g&eacute;n&eacute;rer des donn&eacute;es al&eacute;atoires et ex&eacute;cuter diverses op&eacute;rations telles que la normalisation.<\/li>\n\n\n\n<li>Flux de travail simple avec <strong>deux n&oelig;uds externes uniques<\/strong> qui r&eacute;cup&egrave;rent les donn&eacute;es d&rsquo;un Google sheet et les &eacute;crivent dans un autre document.<\/li>\n\n\n\n<li>Flux de travail complexe avec <strong>sept n&oelig;uds internes et externes uniques<\/strong>, avec pour t&acirc;che de r&eacute;cup&eacute;rer les donn&eacute;es VPS via l&rsquo;API, de les filtrer sur la base de r&egrave;gles et de les enregistrer sur un Google sheet lorsque les crit&egrave;res sont remplis.<\/li>\n<\/ol><p class=\"wp-block-paragraph\">Voici les r&eacute;sultats pour tous les sc&eacute;narios de test ci-dessus :<\/p><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure class=\"wp-lightbox-container\" data-wp-context='{\"imageId\":\"6a711279eae19\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a711279eae19\"><img decoding=\"async\" width=\"1425\" height=\"862\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-26.png\/w=1024,h=1024,fit=scale-down\" alt=\"Graphique de l'utilisation de CPU du benchmark n8n au niveau du flux de travail\" class=\"wp-image-46832\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-26.png\/w=1425,fit=scale-down 1425w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-26.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-26.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-26.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-26.png\/w=768,fit=scale-down 768w\" sizes=\"(max-width: 1425px) 100vw, 1425px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure class=\"wp-lightbox-container\" data-wp-context='{\"imageId\":\"6a711279ede5f\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a711279ede5f\"><img decoding=\"async\" width=\"1421\" height=\"1031\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-27.png\/w=1024,h=1024,fit=scale-down\" alt=\"Graphique de l'utilisation de la m&eacute;moire vive et du r&eacute;seau du benchmark n8n au niveau du flux de travail\" class=\"wp-image-46833\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-27.png\/w=1421,fit=scale-down 1421w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-27.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-27.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-27.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-27.png\/w=768,fit=scale-down 768w\" sizes=\"(max-width: 1421px) 100vw, 1421px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><p class=\"wp-block-paragraph\">Les r&eacute;sultats montrent que l&rsquo;ajout d&rsquo;un nouveau n&oelig;ud unique augmente davantage la consommation de ressources que l&rsquo;insertion d&rsquo;un n&oelig;ud identique. Ce ph&eacute;nom&egrave;ne se retrouve &agrave; la fois dans les flux de travail simples et complexes, ce qui sugg&egrave;re que l&rsquo;utilisation des ressources d&rsquo;un flux de travail d&eacute;pend de la vari&eacute;t&eacute; de ses n&oelig;uds.<\/p><p class=\"wp-block-paragraph\">Le comportement de consommation des ressources dans ce second test semble &eacute;galement coh&eacute;rent avec notre test au niveau des n&oelig;uds : les n&oelig;uds externes affectent de mani&egrave;re significative l&rsquo;utilisation des E\/S du r&eacute;seau, alors que les n&oelig;uds internes ne le font pas. <\/p><p class=\"wp-block-paragraph\">Ensuite, j&rsquo;ai ajout&eacute; un d&eacute;lai de 2 secondes &agrave; l&rsquo;aide du n&oelig;ud Wait dans les flux de travail complexes pour voir si l&rsquo;arr&ecirc;t de l&rsquo;ex&eacute;cution r&eacute;duit la consommation de ressources. <\/p><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure class=\"wp-lightbox-container\" data-wp-context='{\"imageId\":\"6a711279f130f\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a711279f130f\"><img decoding=\"async\" width=\"1588\" height=\"1144\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-28.png\/w=1024,h=1024,fit=scale-down\" alt=\"Graphique du benchmark au niveau du flux de travail avec une attente de deux secondes\" class=\"wp-image-46834\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-28.png\/w=1588,fit=scale-down 1588w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-28.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-28.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-28.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-28.png\/w=768,fit=scale-down 768w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-28.png\/w=1536,fit=scale-down 1536w\" sizes=\"(max-width: 1588px) 100vw, 1588px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><p class=\"wp-block-paragraph\">L&rsquo;utilisation en p&eacute;riode de pointe a l&eacute;g&egrave;rement diminu&eacute;, mais on peut dire que la diff&eacute;rence est insignifiante. Cela dit, l&rsquo;intervalle permet de lib&eacute;rer des ressources &agrave; un moment pr&eacute;cis, comme le montre ce graphique. <\/p><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure data-wp-context='{\"imageId\":\"6a71127a00008\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a71127a00008\" class=\"size-full wp-lightbox-container\"><img decoding=\"async\" width=\"726\" height=\"168\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-2.jpeg\/public\" alt=\"btop graphique d'utilisation d'un flux de travail avec un d&eacute;lai d'ex&eacute;cution, montrant qu'un d&eacute;lai &eacute;tale le pic d'utilisation des ressources\" class=\"wp-image-46835\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-2.jpeg\/w=726,fit=scale-down 726w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-2.jpeg\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-2.jpeg\/w=150,fit=scale-down 150w\" sizes=\"(max-width: 726px) 100vw, 726px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><h3 class=\"wp-block-heading\">Benchmark n8n pour plusieurs workflows<\/h3><p class=\"wp-block-paragraph\">Dans ce test, j&rsquo;ai ex&eacute;cut&eacute; plusieurs instances des quatre m&ecirc;mes flux de travail utilis&eacute;s dans la section pr&eacute;c&eacute;dente. Voici le sc&eacute;nario :<\/p><ol class=\"wp-block-list\">\n<li>Ex&eacute;cution en parall&egrave;le de <strong>deux instances du m&ecirc;me flux de travail<\/strong>. J&rsquo;ai ajout&eacute; une instance suppl&eacute;mentaire si les ressources et la limite de d&eacute;bit de l&rsquo;API le permettaient.<\/li>\n\n\n\n<li><strong>Alternance de l&rsquo;ex&eacute;cution de flux de travail identiques<\/strong> par l&rsquo;interm&eacute;diaire de l&rsquo;ex&eacute;cution des sous-n&oelig;uds. En d&rsquo;autres termes, une fois le premier flux de travail termin&eacute;, la deuxi&egrave;me instance s&rsquo;ex&eacute;cute.<\/li>\n\n\n\n<li><strong>Ex&eacute;cution de diff&eacute;rents flux de travail<\/strong> en parall&egrave;le. J&rsquo;ai fait fonctionner un flux de travail interne simple en m&ecirc;me temps qu&rsquo;un flux de travail complexe.<\/li>\n<\/ol><p class=\"wp-block-paragraph\">Commen&ccedil;ons par v&eacute;rifier les r&eacute;sultats du test du <strong>premier sc&eacute;nario<\/strong>, en nous concentrant sur les flux de travail simples avec deux n&oelig;uds :<\/p><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure class=\"wp-lightbox-container\" data-wp-context='{\"imageId\":\"6a71127a0360e\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a71127a0360e\"><img decoding=\"async\" width=\"1576\" height=\"952\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-29.png\/w=1024,h=1024,fit=scale-down\" alt=\"Graphique de l'utilisation de CPU du benchmark multi-flux simple n8n\" class=\"wp-image-46836\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-29.png\/w=1576,fit=scale-down 1576w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-29.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-29.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-29.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-29.png\/w=768,fit=scale-down 768w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-29.png\/w=1536,fit=scale-down 1536w\" sizes=\"(max-width: 1576px) 100vw, 1576px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure data-wp-context='{\"imageId\":\"6a71127a06e4b\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a71127a06e4b\" class=\"size-full wp-lightbox-container\"><img decoding=\"async\" width=\"1024\" height=\"734\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-30.png\/public\" alt=\"Graphique de l'utilisation de la RAM et du r&eacute;seau dans le benchmark multi-flux simple de n8n\" class=\"wp-image-46837\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-30.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-30.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-30.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-30.png\/w=768,fit=scale-down 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><p class=\"wp-block-paragraph\">Un cas int&eacute;ressant s&rsquo;est produit. Pour les flux de travail simples avec des n&oelig;uds internes, l&rsquo;utilisation des ressources &eacute;tait assez pr&eacute;visible :<\/p><ul class=\"wp-block-list\">\n<li>Une ex&eacute;cution culmine &agrave; <strong>17 % <\/strong>de la<strong> charge du CPU <\/strong>et &agrave; <strong>815 Mo de RAM<\/strong>.<\/li>\n\n\n\n<li>Deux ex&eacute;cutions atteignent un pic &agrave; <strong>20 % de la charge du CPU<\/strong> et <strong>865 Mo de RAM<\/strong>.<\/li>\n\n\n\n<li>Trois ex&eacute;cutions atteignent un pic de<strong> 27 % de la charge du CPU<\/strong> et <strong>912 Mo de RAM<\/strong>.<\/li>\n<\/ul><p class=\"wp-block-paragraph\">D&rsquo;apr&egrave;s la r&eacute;partition, une ex&eacute;cution suppl&eacute;mentaire du flux de travail ajoute environ <strong>40 &agrave; 50 Mo<\/strong> de RAM, et l&rsquo;utilisation du CPU augmente de fa&ccedil;on quelque peu lin&eacute;aire.<\/p><p class=\"wp-block-paragraph\">En revanche, les flux de travail simples avec des n&oelig;uds externes pr&eacute;sentaient une utilisation et un comportement de mise &agrave; l&rsquo;&eacute;chelle impr&eacute;visibles. La diff&eacute;rence d&rsquo;utilisation des ressources lors de l&rsquo;ex&eacute;cution d&rsquo;une, de deux et de trois instances est al&eacute;atoire, m&ecirc;me si elle pr&eacute;sente une tendance &agrave; la hausse. <\/p><p class=\"wp-block-paragraph\">Voyons maintenant comment se sont comport&eacute;s les<strong> flux de travail complexes<\/strong> comportant sept n&oelig;uds :<\/p><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure class=\"wp-lightbox-container\" data-wp-context='{\"imageId\":\"6a71127a0a29b\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a71127a0a29b\"><img decoding=\"async\" width=\"1580\" height=\"966\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-31.png\/w=1024,h=1024,fit=scale-down\" alt=\"Graphique de l'utilisation de l'unit&eacute; centrale du benchmark multi-flux complexe n8n\" class=\"wp-image-46838\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-31.png\/w=1580,fit=scale-down 1580w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-31.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-31.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-31.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-31.png\/w=768,fit=scale-down 768w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-31.png\/w=1536,fit=scale-down 1536w\" sizes=\"(max-width: 1580px) 100vw, 1580px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure data-wp-context='{\"imageId\":\"6a71127a0d354\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a71127a0d354\" class=\"size-full wp-lightbox-container\"><img decoding=\"async\" width=\"1024\" height=\"739\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-32.png\/public\" alt=\"Graphique de l'utilisation de la RAM et du r&eacute;seau dans le benchmark multi-flux complexe n8n\" class=\"wp-image-46839\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-32.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-32.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-32.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-32.png\/w=768,fit=scale-down 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><p class=\"wp-block-paragraph\">Le comportement du flux de travail simple &eacute;tait coh&eacute;rent. L&rsquo;utilisation des flux de travail avec des n&oelig;uds internes &eacute;tait relativement lin&eacute;aire et pr&eacute;visible. Par ailleurs, les flux de travail comportant un m&eacute;lange de n&oelig;uds internes et externes pr&eacute;sentaient une utilisation fluctuante, m&ecirc;me dans les E\/S du r&eacute;seau. <\/p><p class=\"wp-block-paragraph\">Pour le <strong>deuxi&egrave;me sc&eacute;nario<\/strong>, j&rsquo;ai encha&icirc;n&eacute; deux workflows identiques en utilisant le n&oelig;ud d&rsquo;ex&eacute;cution du sous-flow. Cela m&rsquo;a permis de les ex&eacute;cuter dans un ordre diff&eacute;rent. Le r&eacute;sultat est le suivant :<\/p><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure class=\"wp-lightbox-container\" data-wp-context='{\"imageId\":\"6a71127a1049a\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a71127a1049a\"><img decoding=\"async\" width=\"1426\" height=\"922\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-33.png\/w=1024,h=1024,fit=scale-down\" alt=\"Graphique de l'utilisation de l'unit&eacute; centrale du benchmark multi-flux n8n avec ex&eacute;cution altern&eacute;e\" class=\"wp-image-46840\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-33.png\/w=1426,fit=scale-down 1426w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-33.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-33.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-33.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-33.png\/w=768,fit=scale-down 768w\" sizes=\"(max-width: 1426px) 100vw, 1426px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure class=\"wp-lightbox-container\" data-wp-context='{\"imageId\":\"6a71127a13334\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a71127a13334\"><img decoding=\"async\" width=\"1426\" height=\"1028\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-34.png\/w=1024,h=1024,fit=scale-down\" alt=\"Graphique de l'utilisation de la RAM et du r&eacute;seau par le benchmark multi-flux n8n avec ex&eacute;cution altern&eacute;e\" class=\"wp-image-46841\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-34.png\/w=1426,fit=scale-down 1426w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-34.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-34.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-34.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-34.png\/w=768,fit=scale-down 768w\" sizes=\"(max-width: 1426px) 100vw, 1426px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><p class=\"wp-block-paragraph\">Comme on peut le voir, l&rsquo;utilisation est rest&eacute;e relativement inchang&eacute;e. Cependant, l&rsquo;utilisation du CPU pour les flux de travail internes complexes a presque doubl&eacute; lorsqu&rsquo;ils sont ex&eacute;cut&eacute;s dans un ordre lin&eacute;aire par rapport &agrave; leur ex&eacute;cution en parall&egrave;le.<\/p><p class=\"wp-block-paragraph\">De m&ecirc;me, la sortie r&eacute;seau des flux de travail externes, lorsqu&rsquo;ils sont ex&eacute;cut&eacute;s dans un ordre lin&eacute;aire, montre une baisse significative par rapport &agrave; leur ex&eacute;cution en parall&egrave;le. <\/p><p>\n\n\n        <div class=\"protip\">\n            <div class=\"protip__heading\">\n                <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                    <path d=\"M1.49234 23.5024C1.23229 23.5024 0.972242 23.4024 0.782206 23.2123C0.562165 22.9923 0.452144 22.6822 0.502153 22.3722C0.562165 21.9221 1.14227 17.9113 3.00262 16.351C3.63274 15.8209 4.43289 15.5509 5.26305 15.5609C6.09321 15.5909 6.87335 15.9109 7.47347 16.4911C8.6937 17.6913 8.76371 19.6717 7.6435 20.9919C6.0832 22.8523 2.08245 23.4324 1.63237 23.4924C1.59236 23.4924 1.54235 23.4924 1.50234 23.4924L1.49234 23.5024ZM5.16303 17.5613C4.84297 17.5613 4.53291 17.6713 4.29287 17.8813C3.60274 18.4614 3.07264 19.9317 2.75258 21.242C4.06282 20.9219 5.5331 20.3918 6.11321 19.7017C6.55329 19.1716 6.54329 18.3814 6.0832 17.9213C5.85316 17.7013 5.5431 17.5713 5.20304 17.5613C5.19304 17.5613 5.17303 17.5613 5.16303 17.5613ZM11.7243 21.8821C11.4942 21.8821 11.2642 21.8021 11.0841 21.652C10.8541 21.462 10.7241 21.1819 10.7241 20.8819V15.9109L8.08358 13.2705H3.11264C2.81259 13.2705 2.53254 13.1404 2.3425 12.9104C2.15246 12.6803 2.07245 12.3803 2.12246 12.0902C2.19247 11.7102 2.84259 8.36953 4.70294 7.12929C6.33325 6.04909 8.96375 6.49918 10.244 6.80923C11.5442 4.96889 13.2546 3.4286 15.2349 2.33839C17.4553 1.11816 19.9858 0.518051 22.4963 0.498047C23.0464 0.498047 23.4865 0.948132 23.4865 1.49824C23.4865 5.0389 22.3763 9.97983 17.1753 13.7605C17.4853 15.0408 17.9354 17.6613 16.8552 19.2816C15.615 21.1419 12.2744 21.7921 11.8943 21.8621C11.8343 21.8721 11.7743 21.8821 11.7143 21.8821H11.7243ZM12.7245 16.181V19.6016C13.7146 19.2916 14.7948 18.7915 15.2049 18.1814C15.675 17.4812 15.605 16.091 15.385 14.9008C14.5248 15.3808 13.6346 15.8109 12.7245 16.181ZM9.66388 12.0302L11.9643 14.3307C13.1845 13.8306 14.3648 13.2204 15.485 12.5103C19.9358 9.51974 21.2361 5.60901 21.4561 2.53843C19.6157 2.67846 17.8254 3.20856 16.2051 4.09872C14.2847 5.14892 12.6544 6.68921 11.4942 8.54956C10.7841 9.65977 10.174 10.82 9.66388 12.0302ZM4.39289 11.2701H7.81353C8.1936 10.3599 8.63368 9.46974 9.11377 8.60957C7.92355 8.38953 6.51329 8.31952 5.81315 8.78961C5.19304 9.19968 4.70294 10.3099 4.39289 11.2701Z\" fill=\"#673DE6\"\/>\n                <\/svg>\n                <p class=\"protip__title\">\n                    Que nous apprennent les r&eacute;sultats ? &#128172;                <\/p>\n            <\/div>\n            <p class=\"protip__content\">&Agrave; part les deux cas mentionn&eacute;s, l&rsquo;utilisation du mat&eacute;riel pour des workflows ex&eacute;cut&eacute;s en parall&egrave;le ou de mani&egrave;re lin&eacute;aire n&rsquo;est pas tr&egrave;s diff&eacute;rente. La moindre sortie r&eacute;seau lors de l&rsquo;ex&eacute;cution alternative pourrait &ecirc;tre due au d&eacute;passement du quota d&rsquo;API, ce qui limite les &eacute;changes de donn&eacute;es. L&rsquo;entr&eacute;e r&eacute;seau plus faible, bien que moins marqu&eacute;e, indique &eacute;galement un probl&egrave;me de quota. Je n&rsquo;ai pas d&rsquo;explication plausible pour le pic de pr&egrave;s de 100&#8239;% d&rsquo;utilisation CPU lors de l&rsquo;ex&eacute;cution alternative. &Eacute;tant donn&eacute; que tous les autres tests montrent que l&rsquo;utilisation CPU reste identique ou l&eacute;g&egrave;rement inf&eacute;rieure pour des workflows ex&eacute;cut&eacute;s de mani&egrave;re lin&eacute;aire, cela pourrait &ecirc;tre une anomalie.<\/p>\n                    <\/div>\n        \n\n\n\n<\/p><p class=\"wp-block-paragraph\">Ensuite, j&rsquo;ai test&eacute; le<strong> troisi&egrave;me sc&eacute;nario<\/strong> en ex&eacute;cutant un flux de travail interne simple en parall&egrave;le avec un flux de travail interne complexe. <\/p><p class=\"wp-block-paragraph\">Comme nous l&rsquo;avons vu pr&eacute;c&eacute;demment, un simple flux de travail interne a consomm&eacute; environ<strong> 50 Mo de RAM<\/strong> et <strong>7 % <\/strong>de l&rsquo;<strong>utilisation du CPU<\/strong>. En comparaison, un flux de travail interne complexe a augment&eacute; l&rsquo;utilisation <strong>CPU<\/strong> <strong>d&rsquo;environ 4 %<\/strong> et a n&eacute;cessit&eacute; <strong>40 Mo de RAM<\/strong> suppl&eacute;mentaires.<\/p><p class=\"wp-block-paragraph\">Si l&rsquo;utilisation de n8n est lin&eacute;aire, l&rsquo;ex&eacute;cution de ces flux de travail en parall&egrave;le augmenterait l&rsquo;<strong>utilisation du CPU<\/strong> d&rsquo;environ <strong>11 %<\/strong> et utiliserait <strong>90 Mo de RAM <\/strong>suppl&eacute;mentaires. Or, ce n&rsquo;est pas le cas, comme le montrent les r&eacute;sultats de mes tests :<\/p><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure class=\"wp-lightbox-container\" data-wp-context='{\"imageId\":\"6a71127a165c6\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a71127a165c6\"><img decoding=\"async\" width=\"1582\" height=\"1142\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-35.png\/w=1024,h=1024,fit=scale-down\" alt=\"Un graphique de l'&eacute;volution de deux flux de travail non identiques, montrant que la consommation du flux de travail n8n n'&eacute;volue pas de fa&ccedil;on lin&eacute;aire.\" class=\"wp-image-46842\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-35.png\/w=1582,fit=scale-down 1582w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-35.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-35.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-35.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-35.png\/w=768,fit=scale-down 768w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-35.png\/w=1536,fit=scale-down 1536w\" sizes=\"(max-width: 1582px) 100vw, 1582px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><p class=\"wp-block-paragraph\">Sur la base de ces donn&eacute;es, je doute que nous puissions pr&eacute;dire l&rsquo;utilisation maximale des ressources de plusieurs flux de travail diff&eacute;rents. Pour des flux de travail identiques, il est toujours possible de pr&eacute;dire l&rsquo;utilisation du mat&eacute;riel, &agrave; condition que le n&oelig;ud ne varie pas de mani&egrave;re significative. <\/p><h3 class=\"wp-block-heading\">Benchmark n8n avec mode queue<\/h3><p class=\"wp-block-paragraph\">Le mode file d&rsquo;attente n8n r&eacute;partit vos t&acirc;ches d&rsquo;automatisation entre plusieurs travailleurs. Cela permet &agrave; chaque processus de fonctionner ind&eacute;pendamment de l&rsquo;instance principale de n8n, ce qui contribue &agrave; d&eacute;charger les t&acirc;ches et &agrave; am&eacute;liorer l&rsquo;&eacute;volutivit&eacute;.<\/p><p class=\"wp-block-paragraph\">Th&eacute;oriquement, le mode file d&rsquo;attente devrait am&eacute;liorer la stabilit&eacute; de votre automatisation lors de l&rsquo;ex&eacute;cution d&rsquo;un grand nombre de flux de travail. Dans cette optique, j&rsquo;ai voulu r&eacute;ex&eacute;cuter les flux de travail pr&eacute;c&eacute;dents en mode file d&rsquo;attente pour voir si l&rsquo;utilisation des ressources diff&eacute;rait. Les sc&eacute;narios de test sont les suivants :<\/p><ol class=\"wp-block-list\">\n<li>Ex&eacute;cution d&rsquo;un <strong>flux de travail simple avec deux n&oelig;uds internes uniques<\/strong>. Ensuite, j&rsquo;ai lanc&eacute; une nouvelle instance du m&ecirc;me flux de travail en parall&egrave;le, jusqu&rsquo;&agrave; trois ex&eacute;cutions simultan&eacute;es.<\/li>\n\n\n\n<li>Ex&eacute;cution d&rsquo;un <strong>flux de travail simple avec deux n&oelig;uds externes uniques<\/strong>, ajout d&rsquo;une nouvelle instance du m&ecirc;me flux de travail ex&eacute;cut&eacute; en parall&egrave;le, jusqu&rsquo;&agrave; trois ex&eacute;cutions simultan&eacute;es.<\/li>\n\n\n\n<li>D&eacute;ploiement d&rsquo;un <strong>flux de travail complexe avec sept n&oelig;uds internes<\/strong>. J&rsquo;ai ajout&eacute; une nouvelle instance du m&ecirc;me flux de travail fonctionnant en parall&egrave;le, jusqu&rsquo;&agrave; trois ex&eacute;cutions simultan&eacute;es.<\/li>\n\n\n\n<li>Ex&eacute;cution d&rsquo;un flux de travail <strong>simple avec sept n&oelig;uds internes et externes<\/strong>. Comme dans les sc&eacute;narios pr&eacute;c&eacute;dents, j&rsquo;ai ajout&eacute; une nouvelle instance du m&ecirc;me flux de travail en parall&egrave;le, jusqu&rsquo;&agrave; trois ex&eacute;cutions simultan&eacute;es.<\/li>\n<\/ol><p class=\"wp-block-paragraph\">De mani&egrave;re surprenante, mon test a montr&eacute; que l&rsquo;utilisation de base de la RAM &eacute;tait deux fois sup&eacute;rieure au niveau normal du n8n, alors que le CPU et les E\/S r&eacute;seau restaient inchang&eacute;s. Cela pourrait &ecirc;tre d&ucirc; &agrave; la cr&eacute;ation des travailleurs par n8n. <\/p><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure class=\"wp-lightbox-container\" data-wp-context='{\"imageId\":\"6a71127a19c37\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a71127a19c37\"><img decoding=\"async\" width=\"1574\" height=\"1126\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-36.png\/w=1024,h=1024,fit=scale-down\" alt=\"Un graphique comparant l'utilisation des ressources du mode normal du n8n par rapport au mode file d'attente\" class=\"wp-image-46843\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-36.png\/w=1574,fit=scale-down 1574w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-36.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-36.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-36.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-36.png\/w=768,fit=scale-down 768w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-36.png\/w=1536,fit=scale-down 1536w\" sizes=\"(max-width: 1574px) 100vw, 1574px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><p class=\"wp-block-paragraph\">Examinons maintenant l&rsquo;utilisation des ressources des <strong>flux de travail simples avec deux n&oelig;uds<\/strong> fonctionnant en mode file d&rsquo;attente n8n. <\/p><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure class=\"wp-lightbox-container\" data-wp-context='{\"imageId\":\"6a71127a1c999\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a71127a1c999\"><img decoding=\"async\" width=\"1428\" height=\"1032\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-37.png\/w=1024,h=1024,fit=scale-down\" alt=\"Graphique de l'utilisation de CPU des flux de travail simples du mode queue de n8n\" class=\"wp-image-46844\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-37.png\/w=1428,fit=scale-down 1428w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-37.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-37.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-37.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-37.png\/w=768,fit=scale-down 768w\" sizes=\"(max-width: 1428px) 100vw, 1428px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure class=\"wp-lightbox-container\" data-wp-context='{\"imageId\":\"6a71127a1f980\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a71127a1f980\"><img decoding=\"async\" width=\"1430\" height=\"1038\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-38.png\/w=1024,h=1024,fit=scale-down\" alt=\"Graphique de l'utilisation de la RAM et du r&eacute;seau par les flux de travail simples du mode queue de n8n\" class=\"wp-image-46845\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-38.png\/w=1430,fit=scale-down 1430w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-38.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-38.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-38.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-38.png\/w=768,fit=scale-down 768w\" sizes=\"(max-width: 1430px) 100vw, 1430px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><p class=\"wp-block-paragraph\">Il s&rsquo;agit de l&rsquo;utilisation du mat&eacute;riel pour des<strong> flux de travail complexes avec sept n&oelig;uds<\/strong> en mode file d&rsquo;attente :<\/p><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure class=\"wp-lightbox-container\" data-wp-context='{\"imageId\":\"6a71127a2245d\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a71127a2245d\"><img decoding=\"async\" width=\"1430\" height=\"1036\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-39.png\/w=1024,h=1024,fit=scale-down\" alt=\"Graphique de l'utilisation de CPU des flux de travail complexes du mode queue de n8n, montrant que l'utilisation maximale du mat&eacute;riel reste &eacute;lev&eacute;e.\" class=\"wp-image-46846\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-39.png\/w=1430,fit=scale-down 1430w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-39.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-39.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-39.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-39.png\/w=768,fit=scale-down 768w\" sizes=\"(max-width: 1430px) 100vw, 1430px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure class=\"wp-lightbox-container\" data-wp-context='{\"imageId\":\"6a71127a25596\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a71127a25596\"><img decoding=\"async\" width=\"1432\" height=\"1034\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-40.png\/w=1024,h=1024,fit=scale-down\" alt=\"Graphique de l'utilisation de la RAM et du r&eacute;seau pour les flux de travail complexes du mode queue de n8n, montrant que l'utilisation maximale du mat&eacute;riel reste &eacute;lev&eacute;e.\" class=\"wp-image-46847\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-40.png\/w=1432,fit=scale-down 1432w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-40.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-40.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-40.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-40.png\/w=768,fit=scale-down 768w\" sizes=\"(max-width: 1432px) 100vw, 1432px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><p class=\"wp-block-paragraph\">Contrairement &agrave; ce que je pensais initialement, les r&eacute;sultats du test indiquent que le <strong>mode file d&rsquo;attente n8n ne contribue pas &agrave; r&eacute;duire l&rsquo;utilisation maximale des ressources<\/strong>. Bien que mon observation sugg&egrave;re que l&rsquo;utilisation mat&eacute;rielle du mode file d&rsquo;attente est plus stable que celle du n8n standard, la consommation moyenne est plus &eacute;lev&eacute;e.<\/p><p>\n\n\n<div class=\"announcement-block announcement-block--important\">\n            <span class=\"announcement-block__heading\">\n                <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                    <path fill-rule=\"evenodd\" clip-rule=\"evenodd\"\n                          d=\"M12 22.5C17.799 22.5 22.5 17.799 22.5 12C22.5 6.20101 17.799 1.5 12 1.5C6.20101 1.5 1.5 6.20101 1.5 12C1.5 17.799 6.20101 22.5 12 22.5ZM13.637 7.65198C13.637 6.74791 12.9041 6.01501 12 6.01501C11.0959 6.01501 10.363 6.74791 10.363 7.65198C10.5335 9.53749 10.875 13.383 10.875 13.383C10.875 14.0043 11.3787 14.508 12 14.508C12.6213 14.508 13.125 14.0043 13.125 13.383V13.38L13.637 7.65198ZM11.9927 15.714C11.3714 15.714 10.8677 16.2177 10.8677 16.839C10.8677 17.4603 11.3714 17.964 11.9927 17.964H12.0073C12.6286 17.964 13.1323 17.4603 13.1323 16.839C13.1323 16.2177 12.6286 15.714 12.0073 15.714H11.9927Z\"\n                          fill=\"#FEA419\"\/>\n                <\/svg>\n                Important\n            <\/span>\n            <p class=\"announcement-block__content\">\n                <strong>Important !<\/strong> Comme j&rsquo;ai configur&eacute; le mode file d&rsquo;attente n8n &agrave; l&rsquo;aide du mod&egrave;le VPS d&rsquo;Hostinger, le nombre de workers a &eacute;t&eacute; fix&eacute; &agrave; <strong>trois<\/strong> par d&eacute;faut. Notez que le nombre de workers aura un impact sur la consommation de ressources et l&rsquo;ex&eacute;cution de votre flux de travail. \n            <\/p><\/div>\n\n\n\n<\/p><p class=\"wp-block-paragraph\">Lorsque j&rsquo;ai ajout&eacute; davantage d&rsquo;ex&eacute;cutions de flux de travail, je m&rsquo;attendais &agrave; ce que l&rsquo;effet du mode file d&rsquo;attente soit plus apparent, mais ce n&rsquo;&eacute;tait pas le cas. Par exemple, comparons le comportement de plusieurs ex&eacute;cutions d&rsquo;un <strong>flux de travail complexe comportant sept n&oelig;uds internes<\/strong> en mode file d&rsquo;attente et en mode vanilla :<\/p><div class=\"wp-block-image wp-block-image aligncenter size-large\">\n<figure class=\"wp-lightbox-container\" data-wp-context='{\"imageId\":\"6a71127a28447\"}' data-wp-interactive=\"core\/image\" data-wp-key=\"6a71127a28447\"><img decoding=\"async\" width=\"1560\" height=\"1124\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-41.png\/w=1024,h=1024,fit=scale-down\" alt=\"Un graphique de l'ex&eacute;cution de plusieurs flux de travail en mode normal et en mode file d'attente\" class=\"wp-image-46848\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-41.png\/w=1560,fit=scale-down 1560w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-41.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-41.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-41.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-41.png\/w=768,fit=scale-down 768w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2026\/03\/image-41.png\/w=1536,fit=scale-down 1536w\" sizes=\"(max-width: 1560px) 100vw, 1560px\" \/><button class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" data-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on--click=\"actions.showLightbox\" data-wp-style--right=\"state.thisImage.buttonRight\" data-wp-style--top=\"state.thisImage.buttonTop\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\"><\/path>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div><p class=\"wp-block-paragraph\">Dans le n8n vanilla, une ex&eacute;cution suppl&eacute;mentaire d&rsquo;un tel flux de travail utilisait environ <strong>40 &agrave; 50 Mo de RAM<\/strong>, alors qu&rsquo;en mode queue, elle ajoutait au moins <strong>60 Mo<\/strong>. Lors de l&rsquo;ex&eacute;cution de trois instances de ce flux de travail, la consommation de m&eacute;moire vive a augment&eacute; de plus de<strong> 100 Mo<\/strong>.<\/p><p class=\"wp-block-paragraph\">D&rsquo;apr&egrave;s le benchmark, nous comprenons que <strong>le mode queue du n8n n&rsquo;est pas une solution qui peut magiquement vous permettre d&rsquo;ex&eacute;cuter une charge de travail intensive sur une machine bas de gamme<\/strong>. En fait, ce mode consomme en moyenne plus de mat&eacute;riel que le mode normal.<\/p><p class=\"wp-block-paragraph\">Toutefois, si vous d&eacute;ployez des centaines de flux de travail, l&rsquo;effet du mode file d&rsquo;attente peut &ecirc;tre plus &eacute;vident. Elle est g&eacute;n&eacute;ralement recommand&eacute;e lorsque votre configuration d&rsquo;automatisation rencontre des probl&egrave;mes tels que des webhooks qui tra&icirc;nent et une latence importante, o&ugrave; les charges de travail distribu&eacute;es peuvent aider &agrave; maintenir la simultan&eacute;it&eacute;. <\/p><h2 class=\"wp-block-heading\" id=\"h-que-nous-apprend-le-benchmark-n8n\">Que nous apprend le benchmark n8n ?<\/h2><p class=\"wp-block-paragraph\">Ce test a &eacute;t&eacute; con&ccedil;u pour fournir une estimation approximative de la fa&ccedil;on dont les flux de travail n8n utilisent les ressources. &Eacute;tant donn&eacute; que l&rsquo;&eacute;chantillon de donn&eacute;es de test est petit, le comportement d&rsquo;utilisation des ressources peut changer &agrave; l&rsquo;&eacute;chelle ou lorsque d&rsquo;autres variables sont impliqu&eacute;es. <\/p><p class=\"wp-block-paragraph\">En outre, je me suis concentr&eacute; uniquement sur les <strong>pics d&rsquo;utilisation de la RAM, du CPU et des entr&eacute;es\/sorties r&eacute;seau<\/strong>. Si vous consid&eacute;rez plut&ocirc;t des moyennes et d&rsquo;autres mesures, telles que le temps d&rsquo;ex&eacute;cution du flux de travail, le comportement de n8n peut &ecirc;tre diff&eacute;rent.<\/p><p class=\"wp-block-paragraph\"><strong>Recommandation pratique<\/strong> <\/p><p class=\"wp-block-paragraph\">Si vous commencez avec 10 &agrave; 20 flux de travail, je vous recommande de les h&eacute;berger sur un serveur disposant d&rsquo;au moins <strong>4 Go de RAM<\/strong>. M&ecirc;me si vous pr&eacute;voyez que votre automatisation utilisera moins de 4 Go, cela vous donne une marge de man&oelig;uvre et vous permet d&rsquo;anticiper l&rsquo;avenir au cas o&ugrave; vous auriez besoin d&rsquo;ajouter d&rsquo;autres flux de travail.<\/p><p class=\"wp-block-paragraph\">En outre, surveillez de pr&egrave;s l&rsquo;utilisation des ressources et utilisez un <a href=\"https:\/\/www.hostinger.com\/fr\/hebergement-n8n\" data-type=\"link\" data-id=\"https:\/\/www.hostinger.com\/fr\/hebergement-n8n\">h&eacute;bergeur n8n<\/a> qui propose des plans facilement &eacute;volutifs, comme Hostinger. De cette fa&ccedil;on, vous pouvez ajouter des ressources suppl&eacute;mentaires si votre installation d&rsquo;automatisation n&eacute;cessite plus de puissance de calcul que pr&eacute;vu.<\/p><figure class=\"wp-block-image size-full\"><a href=\"https:\/\/www.hostinger.com\/fr\/vps\" target=\"_blank\" rel=\"noreferrer noopener\"><img decoding=\"async\" width=\"1024\" height=\"300\" src=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2022\/12\/FR-VPS-hosting_in-text-banner-1024x300-1.png\/public\" alt=\"\" class=\"wp-image-41471\" srcset=\"https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2022\/12\/FR-VPS-hosting_in-text-banner-1024x300-1.png\/w=1024,fit=scale-down 1024w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2022\/12\/FR-VPS-hosting_in-text-banner-1024x300-1.png\/w=300,fit=scale-down 300w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2022\/12\/FR-VPS-hosting_in-text-banner-1024x300-1.png\/w=150,fit=scale-down 150w, https:\/\/imagedelivery.net\/LqiWLm-3MGbYHtFuUbcBtA\/wp-content\/uploads\/sites\/46\/2022\/12\/FR-VPS-hosting_in-text-banner-1024x300-1.png\/w=768,fit=scale-down 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Si vous h&eacute;bergez vous-m&ecirc;me n8n, vous vous &ecirc;tes probablement pos&eacute; la m&ecirc;me question que moi : Combien de ressources serveur mes flux de travail n8n consomment-ils r&eacute;ellement ? En effet, il est essentiel de disposer de suffisamment de ressources pour maintenir des performances optimales, mais vous ne voulez pas d&eacute;penser trop d&rsquo;argent pour des ressources [&#8230;]<\/p>\n<p><a class=\"btn btn-secondary understrap-read-more-link\" href=\"\/fr\/tutoriels\/benchmark-n8n\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":355,"featured_media":46542,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rank_math_title":"Benchmark n8n : usage CPU, RAM et r\u00e9seau test\u00e9","rank_math_description":"D\u00e9couvrez les r\u00e9sultats de notre benchmark n8n (CPU, RAM, r\u00e9seau) et comment optimiser vos workflows et choisir le VPS id\u00e9al pour n8n.","rank_math_focus_keyword":"Benchmark n8n","footnotes":""},"categories":[5832],"tags":[],"class_list":["post-46563","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-avis-dexperts"],"hreflangs":[],"_links":{"self":[{"href":"https:\/\/www.hostinger.com\/fr\/tutoriels\/wp-json\/wp\/v2\/posts\/46563","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hostinger.com\/fr\/tutoriels\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.hostinger.com\/fr\/tutoriels\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.hostinger.com\/fr\/tutoriels\/wp-json\/wp\/v2\/users\/355"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hostinger.com\/fr\/tutoriels\/wp-json\/wp\/v2\/comments?post=46563"}],"version-history":[{"count":5,"href":"https:\/\/www.hostinger.com\/fr\/tutoriels\/wp-json\/wp\/v2\/posts\/46563\/revisions"}],"predecessor-version":[{"id":46856,"href":"https:\/\/www.hostinger.com\/fr\/tutoriels\/wp-json\/wp\/v2\/posts\/46563\/revisions\/46856"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.hostinger.com\/fr\/tutoriels\/wp-json\/wp\/v2\/media\/46542"}],"wp:attachment":[{"href":"https:\/\/www.hostinger.com\/fr\/tutoriels\/wp-json\/wp\/v2\/media?parent=46563"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hostinger.com\/fr\/tutoriels\/wp-json\/wp\/v2\/categories?post=46563"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hostinger.com\/fr\/tutoriels\/wp-json\/wp\/v2\/tags?post=46563"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}