{"id":230337,"date":"2024-10-03T11:46:13","date_gmt":"2024-10-03T15:46:13","guid":{"rendered":"https:\/\/www.sightline.com\/?p=230337"},"modified":"2026-02-10T16:30:29","modified_gmt":"2026-02-10T21:30:29","slug":"case-study-anomaly-detection-observability-solutions","status":"publish","type":"post","link":"https:\/\/www.sightline.com\/fr\/case-study-anomaly-detection-observability-solutions\/use-cases\/","title":{"rendered":"\u00c9tude de cas : D\u00e9tection d'anomalies, solutions d'observabilit\u00e9 et Sightline EDM\u2122"},"content":{"rendered":"<p class=\"has-text-align-center\"><strong>R\u00e9duire les pannes et les temps d'arr\u00eat du portail ACA de Pennsylvanie<\/strong><span style=\"font-weight: 400;\"><\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\"><\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">Dans le Commonwealth de Pennsylvanie, le Department of Public Welfare (DPW) - aujourd'hui connu sous le nom de Department of Human Services (DHS) - a \u00e9t\u00e9 confront\u00e9 \u00e0 la t\u00e2che critique de g\u00e9rer le d\u00e9ploiement de son \u00e9change d'assurance sant\u00e9 dans le cadre de la loi sur les soins abordables (Affordable Care Act). Pour garantir une exp\u00e9rience transparente et fiable aux citoyens, le DPW a choisi la solution d'analyse des performances informatiques de Sightline, <a href=\"https:\/\/www.sightline.com\/fr\/edm\/\">Sightline EDM\u2122<\/a>Il s'agit d'identifier de mani\u00e8re proactive les probl\u00e8mes de performance potentiels gr\u00e2ce \u00e0 la d\u00e9tection d'anomalies et de pr\u00e9venir les pannes de syst\u00e8me.&nbsp;&nbsp;&nbsp;<\/span><\/p>\n\n\n\n<p>&nbsp;<span style=\"font-weight: 400;\"><\/span><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/www.sightline.com\/wp-content\/uploads\/EDM-Sightline.png\" alt=\"Aquaculture EDM\"\/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-reducing-outages-amp-downtime-for-pennsylvania-s-aca-portal-through-anomaly-detection\"><strong>R\u00e9duire les pannes et les temps d'arr\u00eat du portail ACA de Pennsylvanie gr\u00e2ce \u00e0 la d\u00e9tection des anomalies<\/strong><\/h3>\n\n\n\n<p><span style=\"font-weight: 400;\"><\/span><\/p>\n\n\n\n<p><span style=\"font-size: 14px;\">En s'appuyant sur <\/span><a href=\"https:\/\/www.sightline.com\/fr\/edm\/\" style=\"font-size: 14px;\">Sightline EDM\u2122<\/a><span style=\"font-size: 14px;\"> en tant qu'outil robuste d'observabilit\u00e9, DPW a \u00e9t\u00e9 en mesure de :<\/span><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><b>Contr\u00f4ler l'utilisation des ressources du syst\u00e8me<\/b><span style=\"font-weight: 400;\"> en temps r\u00e9el, en garantissant des performances optimales et en \u00e9vitant les goulets d'\u00e9tranglement gr\u00e2ce \u00e0 la d\u00e9tection des anomalies.<\/span><\/li>\n\n\n\n<li><b>Mesurer le temps de r\u00e9ponse de l'application<\/b><span style=\"font-weight: 400;\"> afin d'identifier et de r\u00e9soudre tout probl\u00e8me de latence susceptible d'avoir une incidence sur l'exp\u00e9rience de l'utilisateur.<\/span><\/li>\n\n\n\n<li><b>Comparer les performances des applications existantes<\/b><span style=\"font-weight: 400;\"> Les applications les plus r\u00e9centes sont d\u00e9ploy\u00e9es sur des serveurs Windows, ce qui fournit des informations pr\u00e9cieuses pour le maintien d'une infrastructure informatique \u00e9quilibr\u00e9e et efficace.<\/span><\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><span style=\"font-weight: 400;\">Gr\u00e2ce \u00e0 la mise en \u0153uvre de <a href=\"https:\/\/www.sightline.com\/fr\/edm\/\">Sightline EDM\u2122<\/a>Le DPW a r\u00e9ussi \u00e0 r\u00e9duire les pannes de syst\u00e8me et les temps d'arr\u00eat, assurant ainsi la stabilit\u00e9 et la disponibilit\u00e9 de son infrastructure informatique pour soutenir le d\u00e9ploiement de l'ACA. Cette \u00e9tude de cas d\u00e9montre la puissance des solutions d'observabilit\u00e9 dans l'am\u00e9lioration des performances informatiques, de la fiabilit\u00e9 et de l'exp\u00e9rience des utilisateurs.<\/span><\/p>\n<\/blockquote>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-\"><span style=\"font-weight: 400;\"><\/span><\/h3>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-reducing-outages-and-downtime-for-pennsylvania-dpw-s-aca-rollout-with-observability-solutions\"><strong>R\u00e9duire les pannes et les temps d'arr\u00eat pour le d\u00e9ploiement de l'ACA en Pennsylvanie gr\u00e2ce aux solutions d'observabilit\u00e9<\/strong><\/h3>\n\n\n\n<p><span style=\"font-weight: 400;\">La mise en \u0153uvre de la <a href=\"https:\/\/www.healthcare.gov\/where-can-i-read-the-affordable-care-act\/\">Loi sur les soins abordables<\/a> L'entr\u00e9e en vigueur de la loi sur l'assurance maladie (ACA) aux \u00c9tats-Unis, le 1er octobre 2013, a \u00e9t\u00e9 un \u00e9v\u00e9nement national important. Dans le Commonwealth de Pennsylvanie, le minist\u00e8re de la protection sociale (DPW) - aujourd'hui connu sous le nom de minist\u00e8re des services sociaux (DHS) - a \u00e9t\u00e9 confront\u00e9 \u00e0 un d\u00e9fi majeur : g\u00e9rer le d\u00e9ploiement de sa bourse d'assurance maladie afin de remplir le mandat d'acc\u00e8s \u00e0 l'assurance maladie pour les citoyens de l'ACA.&nbsp;&nbsp;&nbsp;<\/span><\/p>\n\n\n\n<p><strong>D\u00e9fi :<\/strong><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">La mise en \u0153uvre de l'ACA en Pennsylvanie a oblig\u00e9 le DPW \u00e0 int\u00e9grer de mani\u00e8re transparente son infrastructure informatique existante avec les nouvelles applications et les nouveaux services du gouvernement f\u00e9d\u00e9ral. Cette int\u00e9gration a co\u00efncid\u00e9 avec des \u00e9v\u00e9nements critiques similaires qui se sont d\u00e9roul\u00e9s dans les 50 \u00c9tats. Le DPW devait assurer une transition en douceur vers le nouvel \u00e9change de soins de sant\u00e9 afin que les citoyens puissent facilement s'inscrire, acc\u00e9der et examiner les nouvelles options d'assurance sant\u00e9 ACA disponibles.<\/span><\/p>\n\n\n\n<p><strong>Solution :<\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><span style=\"font-weight: 400;\">Le DPW a choisi la solution analytique de d\u00e9tection des anomalies de performance informatique de Sightline, <a href=\"https:\/\/www.sightline.com\/fr\/edm\/\">Sightline EDM\u2122<\/a>comme solution d'observabilit\u00e9. Les solutions d'observabilit\u00e9 fournissent des informations compl\u00e8tes sur la sant\u00e9, les performances et le comportement des syst\u00e8mes informatiques. En s'appuyant sur Sightline EDM\u2122, DPW a acquis la capacit\u00e9 de :<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\"><\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\"><\/span><\/p>\n<\/blockquote>\n\n\n\n<ul class=\"wp-block-list\">\n<li><span style=\"font-weight: 400;\">Surveiller en temps r\u00e9el l'utilisation des ressources syst\u00e8me dans l'ensemble de l'environnement informatique, identifier et pr\u00e9venir les goulets d'\u00e9tranglement potentiels gr\u00e2ce \u00e0 la d\u00e9tection des anomalies.<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">Mesurer le temps de r\u00e9ponse des applications, tant pour les syst\u00e8mes existants que pour les nouveaux syst\u00e8mes d\u00e9ploy\u00e9s, afin de garantir une exp\u00e9rience utilisateur transparente.<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">Comparer les performances globales des anciennes applications du DPW fonctionnant sur des ordinateurs centraux Unisys avec celles des nouvelles applications informatiques d\u00e9ploy\u00e9es sur des serveurs Windows. Cela a facilit\u00e9 le maintien d'une infrastructure informatique \u00e9quilibr\u00e9e et efficace.<\/span><\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/www.sightline.com\/fr\/edm\/\">Sightline EDM\u2122<\/a> a fonctionn\u00e9 comme un outil d'observabilit\u00e9 robuste, permettant au DPW de surveiller plus de 500 serveurs Unix, Windows et Linux pendant le d\u00e9ploiement de l'ACA.<\/span><\/p>\n<\/blockquote>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/www.sightline.com\/wp-content\/uploads\/CaseStudy-Solutions.png\" alt=\"Solutions d&#039;\u00e9tudes de cas\"\/><\/figure>\n\n\n\n<p><strong>Avantages :<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><span style=\"font-weight: 400;\">La d\u00e9tection des anomalies a permis d'assurer une transition en douceur pour le d\u00e9ploiement de l'ACA en Pennsylvanie.<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">Contr\u00f4le de l'utilisation des ressources dans l'ensemble de l'environnement informatique<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">Mesure du temps de r\u00e9ponse des applications pour les anciens et les nouveaux syst\u00e8mes<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">Identification des probl\u00e8mes potentiels de performance des syst\u00e8mes et des applications<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">R\u00e9duction de la dur\u00e9e des pannes des syst\u00e8mes et des services informatiques<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">R\u00e9duction du temps moyen de r\u00e9solution (MTTR) pour respecter les accords de niveau de service (SLA)<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">Fournir une assistance technique pratique sur place pendant le lancement de l'ACA<\/span><\/li>\n<\/ul>\n\n\n\n<p><strong>R\u00e9sultats :<\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><span style=\"font-weight: 400;\">Avec <a href=\"https:\/\/www.sightline.com\/fr\/edm\/\">Sightline EDM\u2122<\/a> fonctionnant comme leur solution d'observabilit\u00e9 pour la d\u00e9tection des anomalies, DPW a obtenu un succ\u00e8s significatif :<\/span><\/p>\n<\/blockquote>\n\n\n\n<ul class=\"wp-block-list\">\n<li><span style=\"font-weight: 400;\">Sightline \u00e9tait sur place avec le DPW pendant la p\u00e9riode initiale de d\u00e9ploiement de l'ACA, l'aidant \u00e0 diagnostiquer et \u00e0 r\u00e9soudre cinq probl\u00e8mes critiques qui sont apparus au cours des deux premiers jours.<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">Le logiciel et les services de Sightline ont permis au DPW d'identifier les probl\u00e8mes de performance en temps r\u00e9el, d'effectuer une analyse des causes profondes, de prendre des mesures correctives et de minimiser de mani\u00e8re significative la dur\u00e9e des pannes en r\u00e9duisant le MTTR et en \u00e9liminant les probl\u00e8mes r\u00e9currents.<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">Gr\u00e2ce au succ\u00e8s de Sightline, le DPW a \u00e9tendu l'utilisation de la plateforme \u00e0 la surveillance de plus de 500 serveurs Windows et Linux suppl\u00e9mentaires dans son environnement informatique.<\/span><\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><span style=\"font-weight: 400;\">Cette \u00e9tude de cas d\u00e9montre la puissance de la d\u00e9tection d'anomalies gr\u00e2ce \u00e0 des solutions d'observabilit\u00e9 telles que <a href=\"https:\/\/www.sightline.com\/fr\/edm\/\">Sightline EDM\u2122<\/a> dans l'am\u00e9lioration des performances informatiques, de la fiabilit\u00e9 et de l'exp\u00e9rience des utilisateurs lors de d\u00e9ploiements critiques.<\/span><\/p>\n<\/blockquote>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/www.sightline.com\/wp-content\/uploads\/Case-Study-RESULTS.png\" alt=\"\"\/><\/figure>","protected":false},"excerpt":{"rendered":"<p>Le d\u00e9partement des services sociaux de Pennsylvanie (DHS) a \u00e9t\u00e9 confront\u00e9 \u00e0 des difficult\u00e9s pour assurer un d\u00e9ploiement harmonieux de la loi sur les soins abordables (ACA) en raison de la complexit\u00e9 de l'int\u00e9gration des syst\u00e8mes. Pour r\u00e9soudre ces probl\u00e8mes, le DHS a mis en \u0153uvre Sightline EDM\u2122, une solution d'observabilit\u00e9. Cet outil a permis la surveillance en temps r\u00e9el, la mesure des performances et la comparaison des infrastructures, ce qui a finalement permis de r\u00e9duire les pannes de syst\u00e8me, d'am\u00e9liorer la fiabilit\u00e9 et de r\u00e9ussir la mise en \u0153uvre de l'ACA.<\/p>","protected":false},"author":30,"featured_media":230341,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[4032,3945],"tags":[4122,4098,4120,4121,4089],"class_list":["post-230337","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blogs","category-use-cases","tag-anomaly-detection","tag-edm","tag-observability","tag-solution","tag-technology"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.5 (Yoast SEO v27.1.1) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Case Study: Anomaly Detection &amp; Observability Solutions<\/title>\n<meta name=\"description\" content=\"- Case Study: Anomaly Detection, Observability Solutions, and Sightline EDM\u2122 - Sightline Systems: Monitoring and Analytics to Optimize Your Business\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.sightline.com\/fr\/case-study-anomaly-detection-observability-solutions\/use-cases\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Case Study: Anomaly Detection, Observability Solutions, and Sightline EDM\u2122\" \/>\n<meta property=\"og:description\" content=\"Pennsylvania\u2019s Department of Human Services (DHS) faced challenges ensuring a smooth rollout of the Affordable Care Act (ACA) due to system integration complexities. To address these issues, DHS implemented Sightline EDM\u2122, an observability solution. This tool enabled real-time monitoring, performance measurement, and infrastructure comparison, ultimately leading to reduced system outages, improved reliability, and a successful ACA implementation.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.sightline.com\/fr\/case-study-anomaly-detection-observability-solutions\/use-cases\/\" \/>\n<meta property=\"og:site_name\" content=\"Sightline Systems: Monitoring and Analytics to Optimize Your Business\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sightlinesystem\/\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-03T15:46:13+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-02-10T21:30:29+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.sightline.com\/wp-content\/uploads\/EDM-Sightline.png\" \/>\n\t<meta property=\"og:image:width\" content=\"2162\" \/>\n\t<meta property=\"og:image:height\" content=\"1186\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Brandon Witte\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:description\" content=\"Pennsylvania\u2019s Department of Human Services (DHS) faced challenges ensuring a smooth rollout of the Affordable Care Act (ACA) due to system integration complexities. To address these issues, DHS implemented Sightline EDM\u2122, an observability solution. This tool enabled real-time monitoring, performance measurement, and infrastructure comparison, ultimately leading to reduced system outages, improved reliability, and a successful ACA implementation.\" \/>\n<meta name=\"twitter:creator\" content=\"@sightlinesystem\" \/>\n<meta name=\"twitter:site\" content=\"@sightlinesystem\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"TechArticle\",\"@id\":\"https:\/\/www.sightline.com\/case-study-anomaly-detection-observability-solutions\/use-cases\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.sightline.com\/case-study-anomaly-detection-observability-solutions\/use-cases\/\"},\"author\":{\"name\":\"Brandon Witte\",\"@id\":\"https:\/\/www.sightline.com\/#\/schema\/person\/0c390a1013473189a5daedf986f54649\"},\"headline\":\"Case Study: Anomaly Detection, Observability Solutions, and Sightline EDM\u2122\",\"datePublished\":\"2024-10-03T15:46:13+00:00\",\"dateModified\":\"2026-02-10T21:30:29+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.sightline.com\/case-study-anomaly-detection-observability-solutions\/use-cases\/\"},\"wordCount\":680,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.sightline.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.sightline.com\/case-study-anomaly-detection-observability-solutions\/use-cases\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.sightline.com\/wp-content\/uploads\/EDM-Sightline.png\",\"keywords\":[\"Anomaly Detection\",\"EDM\",\"observability\",\"solution\",\"technology\"],\"articleSection\":[\"Sightline Blogs\",\"Sightline Use Cases\"],\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.sightline.com\/case-study-anomaly-detection-observability-solutions\/use-cases\/#respond\"]}]},{\"@type\":[\"WebPage\",\"AboutPage\"],\"@id\":\"https:\/\/www.sightline.com\/case-study-anomaly-detection-observability-solutions\/use-cases\/\",\"url\":\"https:\/\/www.sightline.com\/case-study-anomaly-detection-observability-solutions\/use-cases\/\",\"name\":\"Case Study: Anomaly Detection & Observability Solutions\",\"isPartOf\":{\"@id\":\"https:\/\/www.sightline.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.sightline.com\/case-study-anomaly-detection-observability-solutions\/use-cases\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.sightline.com\/case-study-anomaly-detection-observability-solutions\/use-cases\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.sightline.com\/wp-content\/uploads\/EDM-Sightline.png\",\"datePublished\":\"2024-10-03T15:46:13+00:00\",\"dateModified\":\"2026-02-10T21:30:29+00:00\",\"description\":\"- Case Study: Anomaly Detection, Observability Solutions, and Sightline EDM\u2122 - 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