{"id":1032,"date":"2026-02-16T08:02:32","date_gmt":"2026-02-16T05:02:32","guid":{"rendered":"https:\/\/neku.ai\/kurumsal-ai-failover-dayaniklilik-2\/"},"modified":"2026-02-16T08:02:50","modified_gmt":"2026-02-16T05:02:50","slug":"kurumsal-ai-failover-dayaniklilik-2","status":"publish","type":"post","link":"https:\/\/neku.ai\/en\/kurumsal-ai-failover-dayaniklilik-2\/","title":{"rendered":"Kurumsal AI Sistemlerinde Failover ile Dayan\u0131kl\u0131l\u0131\u011f\u0131 Art\u0131rma"},"content":{"rendered":"

Kurumsal AI\u2019da Failover ve Dayan\u0131kl\u0131l\u0131k<\/strong><\/h1>\n
\n

Giri\u015f<\/strong><\/h3>\n

Kurumsal AI\u2019da failover ve dayan\u0131kl\u0131l\u0131k (ai resilience), yapay zek\u00e2 sistemlerinin kesintisiz hizmet verebilmesi i\u00e7in kritik \u00f6neme sahiptir. Bu kavram, altyap\u0131 mimarisinde beklenmedik durumlara kar\u015f\u0131 s\u00fcrd\u00fcr\u00fclebilirlik sa\u011flar. AI \u00e7\u00f6z\u00fcmlerinin i\u015f s\u00fcreklili\u011fi, veri b\u00fct\u00fcnl\u00fc\u011f\u00fc ve operasyonel g\u00fcvenilirli\u011fi i\u00e7in dayan\u0131kl\u0131l\u0131k stratejileri art\u0131k yaln\u0131zca ek bir \u00f6zellik de\u011fil, temel bir gerekliliktir. <\/p>\n

\n

Kurumsal AI\u2019da Failover ve Dayan\u0131kl\u0131l\u0131k tan\u0131m\u0131<\/strong><\/h3>\n

Failover, bir yapay zek\u00e2 platformunda veya da\u011f\u0131t\u0131k sistem mimarisinde bir bile\u015fenin ar\u0131zalanmas\u0131 durumunda y\u00fck\u00fcn otomatik olarak yedek bile\u015fene devredilmesidir. Dayan\u0131kl\u0131l\u0131k (ai resilience) ise bu sistemlerin, beklenmedik hatalar\u0131n genel performans\u0131n\u0131 d\u00fc\u015f\u00fcrmeden \u00e7al\u0131\u015fmaya devam edebilme kabiliyetidir. Fault tolerance yakla\u015f\u0131m\u0131, bu iki kavram\u0131n birle\u015fti\u011fi noktad\u0131r: hata olu\u015fsa bile hizmetin kesintisiz s\u00fcrmesi.<\/p>\n

\n

ai resilience nas\u0131l \u00e7al\u0131\u015f\u0131r<\/strong><\/h3>\n

Ai resilience, sistemin farkl\u0131 bile\u015fenleri aras\u0131nda ba\u011f\u0131ms\u0131z hata tolerans\u0131 ve y\u00f6netilebilir failover mekanizmalar\u0131n\u0131n olu\u015fturulmas\u0131yla sa\u011flan\u0131r. Bu yap\u0131, veri ak\u0131\u015f\u0131, tahmin motoru, model servisleri ve altyap\u0131 kaynaklar\u0131 aras\u0131nda dinamik denge kurar.<\/p>\n

\n

Temel parametreler ve ayarlar<\/strong><\/h3>\n

Dayan\u0131kl\u0131l\u0131k tasar\u0131m\u0131 i\u00e7in belirlenen parametreler aras\u0131nda yedekleme s\u0131kl\u0131\u011f\u0131, replikasyon seviyesi, failover s\u00fcresi ve recovery threshold de\u011ferleri yer al\u0131r. Sistem izleme ara\u00e7lar\u0131, y\u00fck dengeleme politikalar\u0131 ve olay temelli otomasyon kurallar\u0131 da bu mimarinin yap\u0131 ta\u015flar\u0131d\u0131r. <\/p>\n

\n

S\u0131k yap\u0131lan hatalar ve ka\u00e7\u0131nma y\u00f6ntemleri<\/strong><\/h3>\n

Bir\u00e7ok kurum dayan\u0131ks\u0131z mimarinin k\u00f6k nedenini yaln\u0131zca donan\u0131ma ba\u011flar. Oysa dayan\u0131kl\u0131l\u0131\u011f\u0131n eksikli\u011fi genellikle hatal\u0131 topoloji, zay\u0131f hata yakalama mekanizmalar\u0131 veya senkronizasyon sorunlar\u0131ndan kaynaklan\u0131r. Bu hatalardan ka\u00e7\u0131nman\u0131n yolu, ortamlar\u0131 izole etmek yerine orkestre eden bir hata y\u00f6netimi stratejisi kurmakt\u0131r. <\/p>\n

\n

Ger\u00e7ek sistemlerde uygulama \u00f6rnekleri<\/strong><\/h3>\n

B\u00fcy\u00fck \u00f6l\u00e7ekli AI modellerinde, model inference katman\u0131nda failover genellikle container orchestrator d\u00fczeyinde y\u00f6netilir. \u00d6rne\u011fin Kubernetes \u00fczerinde \u00e7al\u0131\u015fan bir derin \u00f6\u011frenme servisi, node seviyesinde hata alg\u0131land\u0131\u011f\u0131nda trafi\u011fi otomatik olarak yedek node\u2019a y\u00f6nlendirir. Bu mekanizma fault tolerance prensiplerini ger\u00e7ek zamanl\u0131 olarak uygular. <\/p>\n

\n

Teknik a\u00e7\u0131klama (derin seviye)<\/strong><\/h3>\n

Orta seviye sistemlerde ai resilience, veri ak\u0131\u015f\u0131 y\u00f6netimi, olay izleme ve durum replikasyonu katmanlar\u0131yla ger\u00e7ekle\u015fir. Failover s\u00fcreci \u00fc\u00e7 ad\u0131mda i\u015fler: hata alg\u0131lama (health probe\u2019lar \u00fczerinden), y\u00f6nlendirme (service mesh veya load balancer arac\u0131l\u0131\u011f\u0131yla) ve iyile\u015fme (state recovery veya model yeniden y\u00fckleme). <\/p>\n

Bu mekanizmalar genellikle asenkron i\u015flem s\u0131ralar\u0131 ve mesajla\u015fma altyap\u0131lar\u0131 \u00fczerinden \u00e7al\u0131\u015f\u0131r. Redis, RabbitMQ veya Kafka \u00fczerinde i\u015flenen metriklerle sistem sa\u011fl\u0131\u011f\u0131 anl\u0131k olarak \u00f6l\u00e7\u00fcl\u00fcr. Fault tolerance burada yaln\u0131zca hizmet kesintisini \u00f6nlemekle kalmaz; ayn\u0131 zamanda veri tutarl\u0131l\u0131\u011f\u0131n\u0131 da korur. <\/p>\n

\n

\u0130\u015fletmeler i\u00e7in neden kritiktir<\/strong><\/h3>\n
    \n
  • Performans:<\/strong> Kesintisiz model hizmeti, tahmin gecikmesini minimize eder. <\/li>\n
  • G\u00fcvenilirlik:<\/strong> Hata durumunda bile m\u00fc\u015fteri deneyimi etkilenmez. <\/li>\n
  • Maliyet:<\/strong> \u00d6nleyici dayan\u0131kl\u0131l\u0131k, ar\u0131za sonras\u0131 kurtarma maliyetlerini azalt\u0131r. <\/li>\n
  • \u00d6l\u00e7ekleme:<\/strong> Sistem y\u00fck alt\u0131nda otomatik dengeleme yapabilir. <\/li>\n
  • Otomasyon:<\/strong> Failover s\u00fcre\u00e7leri manuel m\u00fcdahale gerektirmez. <\/li>\n
  • Karar alma:<\/strong> G\u00fcvenilir AI \u00e7\u0131kt\u0131lar\u0131 stratejik kararlar\u0131 destekler. <\/li>\n
  • Operasyonel verimlilik:<\/strong> S\u00fcrekli devrede kalan modeller i\u015f s\u00fcre\u00e7lerini h\u0131zland\u0131r\u0131r. <\/li>\n<\/ul>\n
    \n

    Bu kavram NeKu.AI i\u00e7inde nas\u0131l uygulan\u0131r<\/strong><\/h3>\n

    NeKu.AI platform mimarisi, dayan\u0131kl\u0131l\u0131\u011f\u0131 temel prensip olarak ele al\u0131r. Model servisleri \u00e7ok b\u00f6lgeli (multi-region) yap\u0131land\u0131rma sayesinde hata durumunda an\u0131nda y\u00fck devri ger\u00e7ekle\u015ftirir. Veriler, i\u015flem hatt\u0131 boyunca otomatik e\u015fzamanlama ve yedekleme politikalar\u0131yla korunur. Platformun izleme katman\u0131, anormallikleri erken tespit eder ve otomatik d\u00fczeltici eylemleri tetikler. Bu yakla\u015f\u0131m, NeKu.AI altyap\u0131s\u0131nda kurumsal d\u00fczeyde fault tolerance i\u00e7in referans mimari olu\u015fturur. <\/p>\n

    \n

    CTO, CIO, \u00fcr\u00fcn y\u00f6neticileri i\u00e7in ger\u00e7ek bir senaryo<\/strong><\/h3>\n
      \n
    1. Sorun:<\/strong> Bir banka, AI tabanl\u0131 kredi onay sisteminde yo\u011fun veri trafi\u011fi alt\u0131nda servis kesintileri ya\u015famaktad\u0131r. <\/li>\n
    2. Ba\u011flam:<\/strong> Model servisleri tek b\u00f6lgeye ba\u011fl\u0131 ve y\u00fck devretme mekanizmas\u0131 bulunmamaktad\u0131r. <\/li>\n
    3. Kavram\u0131n uygulanmas\u0131:<\/strong> Failover katman\u0131 Kubernetes \u00fczerinde yeniden yap\u0131land\u0131r\u0131l\u0131r, multi-zone load balancing etkinle\u015ftirilir, veri kuyru\u011fu sistemlerine fault tolerance politikalar\u0131 eklenir. <\/li>\n
    4. Sonu\u00e7:<\/strong> Servis kesintileri engellenir ve ger\u00e7ek zamanl\u0131 model yan\u0131t s\u00fcreleri %30 h\u0131zlan\u0131r. <\/li>\n
    5. \u0130\u015f etkisi:<\/strong> Operasyonel kesintiler azal\u0131r, m\u00fc\u015fteri onay s\u00fcreci daha g\u00fcvenilir hale gelir ve kurum i\u00e7i g\u00fcven artar. <\/li>\n<\/ol>\n
      \n

      S\u0131k yap\u0131lan hatalar ve en iyi uygulamalar<\/strong><\/h3>\n
        \n
      • \n

        Hata:<\/strong> Yaln\u0131zca donan\u0131m yedeklemesine g\u00fcvenmek.
        \nEn iyi uygulama:<\/strong> Yaz\u0131l\u0131m d\u00fczeyinde hata y\u00f6netimi katmanlar\u0131 eklemek. <\/p>\n<\/li>\n

      • \n

        Hata:<\/strong> Failover tetikleme kriterlerini statik tutmak.
        \nEn iyi uygulama:<\/strong> G\u00f6zlemlenebilirlik metriklerine dayal\u0131 dinamik politika kullanmak. <\/p>\n<\/li>\n

      • \n

        Hata:<\/strong> Test edilmeyen kurtarma senaryosu.
        \nEn iyi uygulama:<\/strong> D\u00fczenli olarak otomatik failover tatbikatlar\u0131 yapmak. <\/p>\n<\/li>\n

      • \n

        Hata:<\/strong> Log y\u00f6netiminde eksiklik.
        \nEn iyi uygulama:<\/strong> Merkezi log analizi ve olay korelasyon sistemi kurmak. <\/p>\n<\/li>\n<\/ul>\n

        \n

        Sonu\u00e7<\/strong><\/h3>\n

        Kurumsal yapay zek\u00e2 mimarilerinde dayan\u0131kl\u0131l\u0131k (ai resilience) g\u00fcvenilirlik ve i\u015f s\u00fcreklili\u011finin temelidir. Failover ve fault tolerance mekanizmalar\u0131, yaln\u0131zca altyap\u0131sal g\u00fcvenlik de\u011fil, stratejik dayan\u0131kl\u0131l\u0131k sa\u011flar. NeKu.AI\u2019nin vizyonunda oldu\u011fu gibi, bu s\u00fcre\u00e7 mimari tasar\u0131ma erken a\u015famada entegre edildi\u011finde hem teknik hem de i\u015f de\u011feri en \u00fcst d\u00fczeye \u00e7\u0131kar. <\/p>","protected":false},"excerpt":{"rendered":"

        Kurumsal AI\u2019da Failover ve Dayan\u0131kl\u0131l\u0131k Giri\u015f Kurumsal AI\u2019da failover ve dayan\u0131kl\u0131l\u0131k (ai resilience), yapay zek\u00e2 sistemlerinin kesintisiz hizmet verebilmesi i\u00e7in kritik \u00f6neme sahiptir. Bu kavram, altyap\u0131 [\u2026]<\/span><\/p>\n","protected":false},"author":2,"featured_media":1033,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_sitemap_exclude":false,"_sitemap_priority":"","_sitemap_frequency":"","footnotes":""},"categories":[],"tags":[],"class_list":["post-1032","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry"],"yoast_head":"\nKurumsal AI Sistemlerinde Failover ile Dayan\u0131kl\u0131l\u0131\u011f\u0131 Art\u0131rma - NeKu.AI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/neku.ai\/en\/kurumsal-ai-failover-dayaniklilik-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Kurumsal AI Sistemlerinde Failover ile Dayan\u0131kl\u0131l\u0131\u011f\u0131 Art\u0131rma - NeKu.AI\" \/>\n<meta property=\"og:description\" content=\"Kurumsal AI\u2019da Failover ve Dayan\u0131kl\u0131l\u0131k Giri\u015f Kurumsal AI\u2019da failover ve dayan\u0131kl\u0131l\u0131k (ai resilience), yapay zek\u00e2 sistemlerinin kesintisiz hizmet verebilmesi i\u00e7in kritik \u00f6neme sahiptir. Bu kavram, altyap\u0131 [\u2026]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/neku.ai\/en\/kurumsal-ai-failover-dayaniklilik-2\/\" \/>\n<meta property=\"og:site_name\" content=\"NeKu.AI\" \/>\n<meta property=\"article:published_time\" content=\"2026-02-16T05:02:32+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-02-16T05:02:50+00:00\" \/>\n<meta name=\"author\" content=\"Serkan \u00d6zcan\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Serkan \u00d6zcan\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-failover-dayaniklilik-2\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-failover-dayaniklilik-2\\\/\"},\"author\":{\"name\":\"Serkan \u00d6zcan\",\"@id\":\"https:\\\/\\\/neku.ai\\\/#\\\/schema\\\/person\\\/cf640cfda3e16635fb740662d943e96b\"},\"headline\":\"Kurumsal AI Sistemlerinde Failover ile Dayan\u0131kl\u0131l\u0131\u011f\u0131 Art\u0131rma\",\"datePublished\":\"2026-02-16T05:02:32+00:00\",\"dateModified\":\"2026-02-16T05:02:50+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-failover-dayaniklilik-2\\\/\"},\"wordCount\":930,\"publisher\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-failover-dayaniklilik-2\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/uploads\\\/2026\\\/02\\\/cover-image-1032.png\",\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-failover-dayaniklilik-2\\\/\",\"url\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-failover-dayaniklilik-2\\\/\",\"name\":\"Kurumsal AI Sistemlerinde Failover ile Dayan\u0131kl\u0131l\u0131\u011f\u0131 Art\u0131rma - NeKu.AI\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-failover-dayaniklilik-2\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-failover-dayaniklilik-2\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/uploads\\\/2026\\\/02\\\/cover-image-1032.png\",\"datePublished\":\"2026-02-16T05:02:32+00:00\",\"dateModified\":\"2026-02-16T05:02:50+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-failover-dayaniklilik-2\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-failover-dayaniklilik-2\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-failover-dayaniklilik-2\\\/#primaryimage\",\"url\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/uploads\\\/2026\\\/02\\\/cover-image-1032.png\",\"contentUrl\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/uploads\\\/2026\\\/02\\\/cover-image-1032.png\",\"width\":1024,\"height\":1024},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-failover-dayaniklilik-2\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Anasayfa\",\"item\":\"https:\\\/\\\/neku.ai\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Kurumsal AI Sistemlerinde Failover ile Dayan\u0131kl\u0131l\u0131\u011f\u0131 Art\u0131rma\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/neku.ai\\\/#website\",\"url\":\"https:\\\/\\\/neku.ai\\\/\",\"name\":\"NeKuAI\",\"description\":\"\u0130\u015fletmenizi daha "Ak\u0131ll\u0131" yap\u0131n\",\"publisher\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/neku.ai\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/neku.ai\\\/#organization\",\"name\":\"NeKuAI\",\"url\":\"https:\\\/\\\/neku.ai\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/neku.ai\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/uploads\\\/2025\\\/02\\\/apple-icon-180x180-1.png\",\"contentUrl\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/uploads\\\/2025\\\/02\\\/apple-icon-180x180-1.png\",\"width\":180,\"height\":180,\"caption\":\"NeKuAI\"},\"image\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/#\\\/schema\\\/logo\\\/image\\\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/neku.ai\\\/#\\\/schema\\\/person\\\/cf640cfda3e16635fb740662d943e96b\",\"name\":\"Serkan \u00d6zcan\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/plugins\\\/swiss-toolkit-for-wp\\\/\\\/admin\\\/img\\\/default-avatar.png\",\"url\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/plugins\\\/swiss-toolkit-for-wp\\\/\\\/admin\\\/img\\\/default-avatar.png\",\"contentUrl\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/plugins\\\/swiss-toolkit-for-wp\\\/\\\/admin\\\/img\\\/default-avatar.png\",\"caption\":\"Serkan \u00d6zcan\"},\"url\":\"https:\\\/\\\/neku.ai\\\/en\\\/author\\\/serkanozcan\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Kurumsal AI Sistemlerinde Failover ile Dayan\u0131kl\u0131l\u0131\u011f\u0131 Art\u0131rma - NeKu.AI","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/neku.ai\/en\/kurumsal-ai-failover-dayaniklilik-2\/","og_locale":"en_US","og_type":"article","og_title":"Kurumsal AI Sistemlerinde Failover ile Dayan\u0131kl\u0131l\u0131\u011f\u0131 Art\u0131rma - NeKu.AI","og_description":"Kurumsal AI\u2019da Failover ve Dayan\u0131kl\u0131l\u0131k Giri\u015f Kurumsal AI\u2019da failover ve dayan\u0131kl\u0131l\u0131k (ai resilience), yapay zek\u00e2 sistemlerinin kesintisiz hizmet verebilmesi i\u00e7in kritik \u00f6neme sahiptir. Bu kavram, altyap\u0131 [\u2026]","og_url":"https:\/\/neku.ai\/en\/kurumsal-ai-failover-dayaniklilik-2\/","og_site_name":"NeKu.AI","article_published_time":"2026-02-16T05:02:32+00:00","article_modified_time":"2026-02-16T05:02:50+00:00","author":"Serkan \u00d6zcan","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Serkan \u00d6zcan","Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/neku.ai\/kurumsal-ai-failover-dayaniklilik-2\/#article","isPartOf":{"@id":"https:\/\/neku.ai\/kurumsal-ai-failover-dayaniklilik-2\/"},"author":{"name":"Serkan \u00d6zcan","@id":"https:\/\/neku.ai\/#\/schema\/person\/cf640cfda3e16635fb740662d943e96b"},"headline":"Kurumsal AI Sistemlerinde Failover ile Dayan\u0131kl\u0131l\u0131\u011f\u0131 Art\u0131rma","datePublished":"2026-02-16T05:02:32+00:00","dateModified":"2026-02-16T05:02:50+00:00","mainEntityOfPage":{"@id":"https:\/\/neku.ai\/kurumsal-ai-failover-dayaniklilik-2\/"},"wordCount":930,"publisher":{"@id":"https:\/\/neku.ai\/#organization"},"image":{"@id":"https:\/\/neku.ai\/kurumsal-ai-failover-dayaniklilik-2\/#primaryimage"},"thumbnailUrl":"https:\/\/neku.ai\/wp-content\/uploads\/2026\/02\/cover-image-1032.png","inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/neku.ai\/kurumsal-ai-failover-dayaniklilik-2\/","url":"https:\/\/neku.ai\/kurumsal-ai-failover-dayaniklilik-2\/","name":"Kurumsal AI Sistemlerinde Failover ile Dayan\u0131kl\u0131l\u0131\u011f\u0131 Art\u0131rma - NeKu.AI","isPartOf":{"@id":"https:\/\/neku.ai\/#website"},"primaryImageOfPage":{"@id":"https:\/\/neku.ai\/kurumsal-ai-failover-dayaniklilik-2\/#primaryimage"},"image":{"@id":"https:\/\/neku.ai\/kurumsal-ai-failover-dayaniklilik-2\/#primaryimage"},"thumbnailUrl":"https:\/\/neku.ai\/wp-content\/uploads\/2026\/02\/cover-image-1032.png","datePublished":"2026-02-16T05:02:32+00:00","dateModified":"2026-02-16T05:02:50+00:00","breadcrumb":{"@id":"https:\/\/neku.ai\/kurumsal-ai-failover-dayaniklilik-2\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/neku.ai\/kurumsal-ai-failover-dayaniklilik-2\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/neku.ai\/kurumsal-ai-failover-dayaniklilik-2\/#primaryimage","url":"https:\/\/neku.ai\/wp-content\/uploads\/2026\/02\/cover-image-1032.png","contentUrl":"https:\/\/neku.ai\/wp-content\/uploads\/2026\/02\/cover-image-1032.png","width":1024,"height":1024},{"@type":"BreadcrumbList","@id":"https:\/\/neku.ai\/kurumsal-ai-failover-dayaniklilik-2\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Anasayfa","item":"https:\/\/neku.ai\/"},{"@type":"ListItem","position":2,"name":"Kurumsal AI Sistemlerinde Failover ile Dayan\u0131kl\u0131l\u0131\u011f\u0131 Art\u0131rma"}]},{"@type":"WebSite","@id":"https:\/\/neku.ai\/#website","url":"https:\/\/neku.ai\/","name":"NeKuAI","description":"\u0130\u015fletmenizi daha "Ak\u0131ll\u0131" yap\u0131n","publisher":{"@id":"https:\/\/neku.ai\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/neku.ai\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/neku.ai\/#organization","name":"NeKuAI","url":"https:\/\/neku.ai\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/neku.ai\/#\/schema\/logo\/image\/","url":"https:\/\/neku.ai\/wp-content\/uploads\/2025\/02\/apple-icon-180x180-1.png","contentUrl":"https:\/\/neku.ai\/wp-content\/uploads\/2025\/02\/apple-icon-180x180-1.png","width":180,"height":180,"caption":"NeKuAI"},"image":{"@id":"https:\/\/neku.ai\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/neku.ai\/#\/schema\/person\/cf640cfda3e16635fb740662d943e96b","name":"Serkan \u00d6zcan","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/neku.ai\/wp-content\/plugins\/swiss-toolkit-for-wp\/\/admin\/img\/default-avatar.png","url":"https:\/\/neku.ai\/wp-content\/plugins\/swiss-toolkit-for-wp\/\/admin\/img\/default-avatar.png","contentUrl":"https:\/\/neku.ai\/wp-content\/plugins\/swiss-toolkit-for-wp\/\/admin\/img\/default-avatar.png","caption":"Serkan \u00d6zcan"},"url":"https:\/\/neku.ai\/en\/author\/serkanozcan\/"}]}},"_links":{"self":[{"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/posts\/1032","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/comments?post=1032"}],"version-history":[{"count":1,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/posts\/1032\/revisions"}],"predecessor-version":[{"id":1034,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/posts\/1032\/revisions\/1034"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/media\/1033"}],"wp:attachment":[{"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/media?parent=1032"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/categories?post=1032"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/tags?post=1032"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}