{"id":52613,"date":"2026-09-20T09:00:00","date_gmt":"2026-09-20T07:00:00","guid":{"rendered":"https:\/\/www.cloudmagazin.com\/?p=52613"},"modified":"2026-09-29T12:44:11","modified_gmt":"2026-09-29T10:44:11","slug":"atlassian-migre-100-000-serveurs-vers-opentelemetry","status":"publish","type":"post","link":"https:\/\/www.cloudmagazin.com\/fr\/2026\/09\/20\/atlassian-migre-100-000-serveurs-vers-opentelemetry\/","title":{"rendered":"Atlassian migre 100 000 h\u00f4tes vers OpenTelemetry"},"content":{"rendered":"<p><strong>Atlassian migre le pipeline de m\u00e9triques d&rsquo;environ 100 000 h\u00f4tes de gostatsd vers l&rsquo;OpenTelemetry Collector, sans qu&rsquo;aucun service n&rsquo;ait \u00e0 modifier son interface. La nouvelle \u00e9tape d&rsquo;agr\u00e9gation se contente d&rsquo;environ la moiti\u00e9 du CPU pour le m\u00eame trafic. Les anciens agr\u00e9gateurs gostatsd et le proxy nomad continuent de tourner pour l&rsquo;instant.<\/strong><\/p>\n<h2>L&rsquo;essentiel en bref<\/h2>\n<div style=\"background:#f8fbfd;border:1px solid rgba(11,183,253,0.28);border-radius:8px;padding:22px 26px;margin:16px 0 34px;box-shadow:0 1px 0 rgba(11,183,253,0.08),0 2px 8px rgba(0,0,0,0.03);\">\n<ul style=\"margin:0;padding-left:20px;line-height:1.75;color:#1a2733;\">\n<li style=\"margin-bottom:10px;\"><strong>L&rsquo;interface StatsD reste en place, l&rsquo;OpenTelemetry Collector travaille derri\u00e8re elle.<\/strong> Les services envoient leurs donn\u00e9es par UDP \u00e0 l&rsquo;adresse habituelle, la nouvelle distribution du Collector accepte en parall\u00e8le le protocole OTLP.<\/li>\n<li style=\"margin-bottom:10px;\"><strong>Une nouvelle cl\u00e9 de shard r\u00e9partit uniform\u00e9ment les grands services sur le pool.<\/strong> La cl\u00e9 streamID du loadbalancing exporter maintient ainsi chaque s\u00e9rie temporelle sur le m\u00eame shard.<\/li>\n<li><strong>L&rsquo;agr\u00e9gation condense environ 4,8 milliards de points de donn\u00e9es par minute en environ 220 millions.<\/strong> Pour le m\u00eame trafic, l&rsquo;\u00e9tape se contente d&rsquo;environ la moiti\u00e9 du CPU.<\/li>\n<\/ul>\n<\/div>\n<h2>Les limites du pipeline existant<\/h2>\n<p>Le pipeline de m\u00e9triques d&rsquo;Atlassian collecte la t\u00e9l\u00e9m\u00e9trie d&rsquo;environ <a href=\"https:\/\/www.cncf.io\/blog\/2026\/09\/17\/opentelemetry-everywhere-migrating-a-metrics-platform-at-scale\/\">100 000 h\u00f4tes dans 14 r\u00e9gions<\/a>. Jusqu&rsquo;ici, il fonctionnait avec gostatsd, une impl\u00e9mentation open source du protocole StatsD maintenue par l&rsquo;entreprise.<\/p>\n<p>Le pipeline fonctionnait avec un SLO de 99,95 %, un objectif interne de niveau de service. De plus, gostatsd n&rsquo;acceptait les m\u00e9triques que par UDP et ne proposait aucune solution pour les traces ni les logs. Chaque nouveaut\u00e9 de la communaut\u00e9 OpenTelemetry aurait d\u00fb \u00eatre recr\u00e9\u00e9e \u00e0 la main par l&rsquo;\u00e9quipe.<\/p>\n<p><strong>Qu&rsquo;est-ce que l&rsquo;OpenTelemetry Collector ?<\/strong> L&rsquo;OpenTelemetry Collector est un logiciel modulaire con\u00e7u pour recevoir, traiter et acheminer les donn\u00e9es de t\u00e9l\u00e9m\u00e9trie. Il accepte des protocoles comme OTLP ou StatsD et exporte vers des backends comme SignalFx ou S3. Nouvelles tentatives, files d&rsquo;attente et limitation de d\u00e9bit font partie des fonctionnalit\u00e9s livr\u00e9es en standard, et de nombreux composants sont d\u00e9velopp\u00e9s en commun par la communaut\u00e9 OpenTelemetry.<\/p>\n<h2>Une refonte en quatre \u00e9tapes<\/h2>\n<p>Atlassian a d\u00e9ploy\u00e9 une distribution du Collector propre \u00e0 chacune des quatre \u00e9tapes, collecte, ingestion, agr\u00e9gation et acheminement, et a ainsi pu refondre chaque \u00e9tape s\u00e9par\u00e9ment. Rien n&rsquo;a chang\u00e9 du c\u00f4t\u00e9 de l&rsquo;interface avec les applications. Les services continuent d&rsquo;envoyer leurs m\u00e9triques StatsD par UDP \u00e0 la m\u00eame adresse, tandis que la nouvelle distribution du Collector accepte en parall\u00e8le OTLP, le protocole natif d&rsquo;OpenTelemetry.<\/p>\n<p>La simple fusion du sidecar StatsD et du sidecar de tracing, ces processus auxiliaires pr\u00e9sents sur chaque h\u00f4te, a d\u00e9j\u00e0 permis des \u00e9conomies. Pour les services les plus co\u00fbteux, elle a permis d&rsquo;\u00e9conomiser en moyenne environ 3,9 % de CPU par service, et \u00e0 l&rsquo;\u00e9chelle du parc, les co\u00fbts des sidecars ont baiss\u00e9 d&rsquo;environ 30 %.<\/p>\n<h2>Une r\u00e9partition uniforme de la charge<\/h2>\n<p>Un agr\u00e9gateur doit voir tous les points de donn\u00e9es d&rsquo;une s\u00e9rie temporelle pour les condenser. L&rsquo;ancien proxy maison nomm\u00e9 nomad le garantissait en affectant par hachage la paire service-environnement \u00e0 un shard, c&rsquo;est-\u00e0-dire une part fixe du pool d&rsquo;agr\u00e9gateurs. Comme la charge de m\u00e9triques se concentre sur quelques grands services, leurs shards se retrouvaient sous une charge permanente.<\/p>\n<p>Dans la nouvelle architecture, le <a href=\"https:\/\/github.com\/open-telemetry\/opentelemetry-collector-contrib\/blob\/main\/exporter\/loadbalancingexporter\/README.md\">loadbalancing exporter<\/a> de l&rsquo;OpenTelemetry Collector assure cette t\u00e2che. Avec la cl\u00e9 de routage streamID, un hachage de toutes les caract\u00e9ristiques d&rsquo;une s\u00e9rie temporelle, il r\u00e9partit un grand service uniform\u00e9ment sur le pool, chaque s\u00e9rie temporelle restant sur le m\u00eame shard. La charge CPU par shard est pass\u00e9e de pics isol\u00e9s et de r\u00e9plicas inactifs \u00e0 une r\u00e9partition uniforme. Depuis, le pool peut \u00eatre r\u00e9duit en dehors des heures de pointe.<\/p>\n<h2>Une agr\u00e9gation \u00e0 la moiti\u00e9 de l&rsquo;effort<\/h2>\n<p>L&rsquo;\u00e9tape d&rsquo;agr\u00e9gation re\u00e7oit environ 4,8 milliards de points de donn\u00e9es par minute et en transmet environ 220 millions apr\u00e8s condensation. Chez Atlassian, la plupart des m\u00e9triques se pr\u00e9sentent sous forme de deltas, c&rsquo;est-\u00e0-dire de variations depuis la derni\u00e8re remont\u00e9e. Aucun composant existant ne totalisait ces deltas comme les utilisateurs s&rsquo;y attendent.<\/p>\n<p>Atlassian a donc \u00e9crit l&rsquo;<a href=\"https:\/\/github.com\/atlassian-labs\/atlassian-aggregation-processor\/blob\/main\/pkg\/processor\/atlassianaggregationprocessor\/README.md\">Atlassian Aggregation Processor<\/a> et l&rsquo;a publi\u00e9 en open source. Il s&rsquo;appuie sur un composant standard de la communaut\u00e9 OpenTelemetry, totalise les valeurs delta toutes les 60 secondes par d\u00e9faut et transmet les autres types de m\u00e9triques inchang\u00e9s.<\/p>\n<p>Pour le m\u00eame trafic, la nouvelle \u00e9tape d&rsquo;agr\u00e9gation se contente d&rsquo;environ la moiti\u00e9 du CPU. Les agr\u00e9gateurs n&rsquo;ont plus \u00e0 parser le format gostatsd, la charge est mieux r\u00e9partie et l&rsquo;\u00e9quipe adopte les optimisations de la communaut\u00e9.<\/p>\n<h2>Acheminement et prochaine \u00e9tape<\/h2>\n<p>Jusqu&rsquo;ici, un forwarder d\u00e9velopp\u00e9 en interne assurait l&rsquo;acheminement. Il fonctionne d\u00e9sormais sous la forme d&rsquo;une distribution du Collector sans \u00e9tat nomm\u00e9e metrics-gateway, qui distribue les donn\u00e9es vers SignalFx, S3 et d&rsquo;autres backends. Nouvelles tentatives, files d&rsquo;attente et limitation en cas de surcharge sont fournies d&rsquo;office par le Collector.<\/p>\n<p>Pour les fonctions serverless, o\u00f9 aucun sidecar ne peut tourner, une extension OTel pour Lambda d\u00e9velopp\u00e9e en interne remplace l&rsquo;extension gostatsd. Elle conserve l&rsquo;adresse StatsD et les variables d&rsquo;environnement, aucune modification de code n&rsquo;est n\u00e9cessaire.<\/p>\n<p>Les anciens agr\u00e9gateurs gostatsd et nomad continuent de tourner pour l&rsquo;instant. \u00c0 eux deux, ils repr\u00e9sentent encore environ 38 % des requ\u00eates CPU dans les clusters de m\u00e9triques, nomad \u00e0 lui seul environ 13 % des ressources totales. Une fois ceux-ci d\u00e9mantel\u00e9s, le pipeline fonctionnera int\u00e9gralement sur OpenTelemetry.<\/p>\n<p>Iris Grace Endozo, Farzad Vazirnia et Albert Kerr, d&rsquo;Atlassian, voient l&rsquo;\u00e9tape suivante dans le d\u00e9placement de l&rsquo;instrumentation vers le SDK OpenTelemetry. Jusqu&rsquo;ici, les services sont instrument\u00e9s via des biblioth\u00e8ques clientes fournies par des \u00e9diteurs ou d\u00e9velopp\u00e9es en interne, c&rsquo;est-\u00e0-dire dot\u00e9s de points de mesure dans le code, notamment DogStatsD de Datadog et des biblioth\u00e8ques StatsD.<\/p>\n<h2>Questions fr\u00e9quentes<\/h2>\n<details>\n<summary><strong>Qu&rsquo;est-ce que gostatsd chez Atlassian ?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">gostatsd est une impl\u00e9mentation open source du protocole StatsD maintenue par Atlassian. Elle n&rsquo;accepte les m\u00e9triques que par UDP et ne couvre ni les traces ni les logs. Les agr\u00e9gateurs gostatsd repr\u00e9sentent, avec le proxy maison nomad, encore environ 38 % des requ\u00eates CPU dans les clusters de m\u00e9triques.<\/p>\n<\/details>\n<details>\n<summary><strong>Pourquoi la cl\u00e9 de shard posait-elle probl\u00e8me ?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">L&rsquo;ancien proxy affectait la paire service-environnement \u00e0 un shard par hachage. Comme la charge se concentre sur quelques grands services, ce sont pr\u00e9cis\u00e9ment leurs shards qui se retrouvaient sous une charge permanente. La cl\u00e9 streamID r\u00e9partit un service uniform\u00e9ment sur le pool et maintient chaque s\u00e9rie temporelle sur le m\u00eame shard.<\/p>\n<\/details>\n<details>\n<summary><strong>Qu&rsquo;est-ce qui change pour les \u00e9quipes en charge des services ?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">En production, rien ne change, les services continuent d&rsquo;envoyer du StatsD par UDP \u00e0 la m\u00eame adresse. Pour les fonctions serverless, une extension Lambda avec la m\u00eame adresse et les m\u00eames variables d&rsquo;environnement prend le relais. Atlassian pr\u00e9voit ensuite de d\u00e9placer l&rsquo;instrumentation vers le SDK OpenTelemetry.<\/p>\n<\/details>\n<h2>S\u00e9lection de la r\u00e9daction<\/h2>\n<ul style=\"list-style:none;margin:0 0 8px;padding:0;\">\n<li style=\"padding:10px 0;border-bottom:1px solid #eee;\"><a href=\"https:\/\/www.cloudmagazin.com\/fr\/2026\/06\/08\/instrumenter-une-fois-le-backend-libre-choix\/\" style=\"color:#1a1a1a;text-decoration:none;\">OpenTelemetry : instrumenter une fois, choisir librement le backend<\/a><\/li>\n<li style=\"padding:10px 0;border-bottom:1px solid #eee;\"><a href=\"https:\/\/www.cloudmagazin.com\/fr\/2026\/09\/24\/la-personne-qui-demande-paie-les-nuds-vides\/\" style=\"color:#1a1a1a;text-decoration:none;\">Des requests Kubernetes \u00e9lev\u00e9s paient des n\u0153uds vides<\/a><\/li>\n<li style=\"padding:10px 0;\"><a href=\"https:\/\/www.cloudmagazin.com\/fr\/2026\/09\/26\/aws-recherche-un-ki-agent-en-cas-de-dysfonctionnement\/\" style=\"color:#1a1a1a;text-decoration:none;\">AWS laisse un agent d\u2019IA chercher avec l\u2019\u00e9quipe en cas d\u2019incident<\/a><\/li>\n<\/ul>\n<p style=\"text-align:right;color:#868e96;font-size:0.85em;margin-top:48px;\"><em>Source de l\u2019image : g\u00e9n\u00e9r\u00e9e par IA (septembre 2026)<\/em><\/p>\n<p style=\"margin:44px 0 12px;font-size:0.72em;font-weight:700;text-transform:uppercase;letter-spacing:0.18em;color:#666;\">Plus du r\u00e9seau MBF Media<\/p>\n<div style=\"padding:14px 18px;border-left:3px solid #69d8ed;background:#fafafa;margin-bottom:6px;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#69d8ed;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">securitytoday<\/div>\n<p><a href=\"https:\/\/www.securitytoday.de\/2026\/05\/14\/ebpf-monitoring-kubernetes-falco-tetragon-runtime-detection-2026\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">eBPF dans K8s : Falco et Tetragon contre les In-Memory-Threats<\/a><\/p>\n<\/div>\n<div style=\"padding:14px 18px;border-left:3px solid #d65663;background:#fafafa;margin-bottom:6px;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#d65663;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">digital-chiefs<\/div>\n<p><a href=\"https:\/\/www.digital-chiefs.de\/wann-sich-souveraener-stack-rechnet\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">Quand une stack souveraine est vraiment rentable<\/a><\/p>\n<\/div>\n<div style=\"padding:14px 18px;border-left:3px solid #d65663;background:#fafafa;\">\n<div style=\"font-size:0.7em;font-weight:700;color:#d65663;text-transform:uppercase;letter-spacing:0.12em;margin-bottom:4px;\">digital-chiefs<\/div>\n<p><a href=\"https:\/\/www.digital-chiefs.de\/der-ki-bauboom-kommt-auf-die-cloud-rechnung\/\" style=\"font-weight:600;line-height:1.4;color:#1a1a1a;text-decoration:none;\">Le boom de construction IA arrive sur la facture cloud<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"Atlassian migre son pipeline de m\u00e9triques vers OpenTelemetry, sans changer le code des services. L&rsquo;agr\u00e9gation ne n\u00e9cessite plus que la moiti\u00e9 du CPU.","protected":false},"author":87,"featured_media":52452,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_meta-robots-noindex":"","_yoast_wpseo_meta-robots-nofollow":"","_yoast_wpseo_meta-robots-adv":"","_yoast_wpseo_canonical":"","_yoast_wpseo_opengraph-title":"","_yoast_wpseo_opengraph-description":"","_yoast_wpseo_opengraph-image":"","_yoast_wpseo_opengraph-image-id":0,"_yoast_wpseo_twitter-title":"","_yoast_wpseo_twitter-description":"","_yoast_wpseo_twitter-image":"","_yoast_wpseo_twitter-image-id":0,"pre_headline":"","bildquelle":"","teasertext":"Atlassian migre son pipeline de m\u00e9triques vers OpenTelemetry, sans changer le code des services. L'agr\u00e9gation ne n\u00e9cessite plus que la moiti\u00e9 du CPU.","language":"de","_evm_slot_owner":"","_evm_translation_lang":"","featured_post":0,"featured_post_sortierung":0,"_wp_old_slug":["atlassian-migre-100-000-hotes-vers-opentelemetry"],"footnotes":""},"categories":[13],"tags":[],"industry":[],"class_list":["post-52613","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aktuelles"],"evm_reading_time_minutes":7,"wpml_language":"fr","wpml_translation_of":52440,"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Atlassian migre 100 000 h\u00f4tes vers OpenTelemetry<\/title>\n<meta name=\"description\" content=\"Atlassian migre son pipeline de m\u00e9triques vers l&#039;OpenTelemetry Collector. 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