{"id":1029,"date":"2026-02-15T20:02:20","date_gmt":"2026-02-15T17:02:20","guid":{"rendered":"https:\/\/neku.ai\/kurumsal-ai-observability-2\/"},"modified":"2026-02-15T20:02:38","modified_gmt":"2026-02-15T17:02:38","slug":"kurumsal-ai-observability-2","status":"publish","type":"post","link":"https:\/\/neku.ai\/en\/kurumsal-ai-observability-2\/","title":{"rendered":"Kurumsal AI’da Observability ile G\u00fcvenilir Otomasyon"},"content":{"rendered":"

Kurumsal AI\u2019da Observability<\/strong><\/h1>\n

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

Kurumsal AI\u2019da Observability, bir yapay zeka sisteminin i\u00e7 s\u00fcre\u00e7lerini ve performans\u0131n\u0131 g\u00f6r\u00fcn\u00fcr, \u00f6l\u00e7\u00fclebilir ve analiz edilebilir hale getirme yetene\u011fidir. G\u00fcn\u00fcm\u00fczde operasyon ekipleri i\u00e7in ai observability, sadece hatalar\u0131 izlemek de\u011fil ayn\u0131 zamanda sistemin neden belirli kararlar\u0131 verdi\u011fini anlaman\u0131n temelidir. B\u00fcy\u00fck \u00f6l\u00e7ekli AI modellerinde izlenebilirlik, g\u00fcvenilirlik ve s\u00fcrd\u00fcr\u00fclebilir otomasyonun olmazsa olmaz bir bile\u015feni haline gelmi\u015ftir.<\/p>\n

\n

Kurumsal AI\u2019da Observability tan\u0131m\u0131<\/strong><\/h3>\n

ai observability, AI sistemlerinin davran\u0131\u015flar\u0131n\u0131, veri ak\u0131\u015flar\u0131n\u0131 ve \u00e7\u0131kar\u0131mlar\u0131n\u0131 ger\u00e7ek zamanl\u0131 olarak analiz etmeyi m\u00fcmk\u00fcn k\u0131lan bir operasyonel disiplindir. Geleneksel monitoring sadece sistemin \u201c\u00e7al\u0131\u015f\u0131yor mu\u201d sorusuna cevap verirken, observability \u201cneden o \u015fekilde \u00e7al\u0131\u015f\u0131yor\u201d sorusuna da netlik kazand\u0131r\u0131r. Bu fark, \u00f6zellikle kurumsal AI projelerinde karma\u015f\u0131k makine \u00f6\u011frenimi modellerinin a\u00e7\u0131klanabilirli\u011fi i\u00e7in kritik \u00f6nem ta\u015f\u0131r.<\/p>\n

\n

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

Kurumsal \u00f6l\u00e7ekte ai observability, veri hatt\u0131, model, altyap\u0131 ve uygulama katmanlar\u0131nda \u00e7ok boyutlu metriklerin toplanmas\u0131na dayan\u0131r. Sistem davran\u0131\u015f\u0131n\u0131n g\u00f6zlemlenmesi, loglama, metrik analizi, izleme (monitoring) ve olay korelasyonu ara\u00e7lar\u0131yla sa\u011flan\u0131r. Bu yakla\u015f\u0131m, AI sisteminin b\u00fct\u00fcnsel sa\u011fl\u0131k durumunu ortaya koyar.<\/p>\n

Temel parametreler ve ayarlar<\/strong><\/h4>\n

Observability sistemlerinde izlenmesi gereken temel parametreler aras\u0131nda model yan\u0131t s\u00fcresi, veri b\u00fct\u00fcnl\u00fc\u011f\u00fc, i\u015flem ba\u015far\u0131s\u0131 oran\u0131, bellek kullan\u0131m\u0131 ve inference sonu\u00e7 tutarl\u0131l\u0131\u011f\u0131 bulunur. Bu parametreler genellikle merkezi bir izleme altyap\u0131s\u0131na aktar\u0131l\u0131r ve uyar\u0131 e\u015fikleri ayarlanarak anomaliler tespit edilir.<\/p>\n

S\u0131k yap\u0131lan hatalar ve ka\u00e7\u0131nma y\u00f6ntemleri<\/strong><\/h4>\n

En s\u0131k yap\u0131lan hata, monitoring ara\u00e7lar\u0131n\u0131 observability yerine kullanmakt\u0131r. Monitoring sadece \u00e7\u0131kt\u0131 d\u00fczeyinde bilgi verir; observability ise girdiler, s\u00fcre\u00e7ler ve ba\u011flam\u0131 da analiz eder. Ayr\u0131ca veri etiketlerinde tutars\u0131zl\u0131k veya loglama eksikli\u011fi, g\u00f6zlemlenebilirlik kalitesini ciddi bi\u00e7imde d\u00fc\u015f\u00fcr\u00fcr. Bu nedenle veri hatt\u0131 b\u00fct\u00fcnl\u00fc\u011f\u00fc ilk ad\u0131mdan itibaren tasar\u0131m prensibi olarak ele al\u0131nmal\u0131d\u0131r.<\/p>\n

Ger\u00e7ek sistemlerde uygulama \u00f6rnekleri<\/strong><\/h4>\n

Bir kurumsal AI modelinde observability, her inference iste\u011finin kayd\u0131n\u0131 tutan bir telemetry katman\u0131 ile sa\u011flanabilir. \u00d6rne\u011fin, m\u00fc\u015fteri taleplerini s\u0131n\u0131fland\u0131ran bir NLP modelinde, her tahminin do\u011fruluk ve yan\u0131t s\u00fcresi metrikleri merkezi g\u00f6zlem sistemine aktar\u0131l\u0131r. Bu veriler sayesinde performans d\u00fc\u015f\u00fc\u015f\u00fc an\u0131nda fark edilir ve otomatik \u00f6l\u00e7ekleme mekanizmas\u0131 devreye girer.<\/p>\n

\n

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

Observability mimarisi \u00fc\u00e7 temel bile\u015fen \u00fczerine kurulur: veri toplama (collect), analiz (analyze) ve aksiyon (act). \u0130lk a\u015famada model, altyap\u0131 ve uygulama loglar\u0131 d\u00fczenli bi\u00e7imde toplan\u0131r. \u0130kinci a\u015famada bu veriler zaman serisi tabanl\u0131 bir motorla i\u015flenir, anomaliler tespit edilir ve performans korelasyonlar\u0131 \u00e7\u0131kar\u0131l\u0131r. Son a\u015famada, sistemin kendi kendini iyile\u015ftirebilece\u011fi otomasyon politikalar\u0131 tetiklenir. Bu d\u00f6ng\u00fc, ai observability\u2019nin kurumsal \u00f6l\u00e7ekte dinamik ve s\u00fcrekli \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flar.<\/p>\n

\n

\u0130\u015fletmeler i\u00e7in neden kritiktir<\/strong><\/h3>\n

Kurumsal organizasyonlar i\u00e7in observability a\u015fa\u011f\u0131daki nedenlerle i\u015f de\u011feri yarat\u0131r: <\/p>\n

    \n
  • Performans:<\/strong> Modellerin gecikme s\u00fcrelerini kontrol alt\u0131nda tutar. <\/li>\n
  • G\u00fcvenilirlik:<\/strong> AI \u00e7\u0131kt\u0131lar\u0131n\u0131n tutarl\u0131l\u0131\u011f\u0131n\u0131 kan\u0131tlanabilir hale getirir. <\/li>\n
  • Maliyet:<\/strong> Anomali tespiti sayesinde gereksiz kaynak t\u00fcketimini azalt\u0131r. <\/li>\n
  • \u00d6l\u00e7ekleme:<\/strong> Sistem y\u00fck art\u0131\u015f\u0131n\u0131 \u00f6ng\u00f6rerek kapasiteyi otomatik geni\u015fletir. <\/li>\n
  • Otomasyon:<\/strong> G\u00f6zleme dayal\u0131 otomatik d\u00fczeltme mekanizmalar\u0131n\u0131 kolayla\u015ft\u0131r\u0131r. <\/li>\n
  • Karar alma:<\/strong> Y\u00f6neticilere model davran\u0131\u015f\u0131na dair \u00f6l\u00e7\u00fclebilir i\u00e7g\u00f6r\u00fcler sa\u011flar. <\/li>\n
  • Operasyonel verimlilik:<\/strong> Geli\u015ftirme ve bak\u0131m 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 vizyonu, AI sistemlerinin kendi kendini optimize eden bir operasyonel d\u00f6ng\u00fcye sahip olmas\u0131na dayan\u0131r. Platform i\u00e7erisinde observability katman\u0131, model performans\u0131n\u0131 ve veri hatt\u0131n\u0131 s\u00fcrekli izleyen bir telemetry altyap\u0131s\u0131yla entegre \u00e7al\u0131\u015f\u0131r. Her modelin inference s\u00fcre\u00e7leri i\u00e7in metrik toplama, hata izleme ve otomatik d\u00fczeltme mod\u00fclleri kullan\u0131l\u0131r. Bu yap\u0131, g\u00fcvenilir bir AI operasyon y\u00f6netimi sa\u011flar ve sistemlerin \u00f6l\u00e7eklenme kararlar\u0131n\u0131 veriyle y\u00f6nlendirir.<\/p>\n

    \n

    CTO, CIO, \u00fcr\u00fcn y\u00f6neticileri i\u00e7in ger\u00e7ek bir senaryo<\/strong><\/h3>\n
      \n
    1. Sorun:<\/strong> Bir AI destekli \u00f6neri motoru beklenenden yava\u015f \u00e7al\u0131\u015f\u0131yor ve tutars\u0131z sonu\u00e7lar \u00fcretiyor. <\/li>\n
    2. Ba\u011flam:<\/strong> Model altyap\u0131s\u0131 farkl\u0131 veri kaynaklar\u0131n\u0131 kullan\u0131yor; veri ak\u0131\u015f\u0131 ve loglama eksik. <\/li>\n
    3. Kavram\u0131n uygulanmas\u0131:<\/strong> ai observability mimarisi devreye al\u0131narak modelin yan\u0131t s\u00fcresi, hata oran\u0131 ve veri gecikmeleri i\u00e7in izleme parametreleri tan\u0131mland\u0131. <\/li>\n
    4. Sonu\u00e7:<\/strong> Sistem hatal\u0131 veri ak\u0131\u015f\u0131n\u0131 izleyerek otomatik d\u00fczeltme politikas\u0131n\u0131 devreye soktu. <\/li>\n
    5. \u0130\u015f etkisi:<\/strong> Yan\u0131t s\u00fcresi y\u00fczde 35 iyile\u015fti, operasyon ekibinin manuel m\u00fcdahale ihtiyac\u0131 ortadan kalkt\u0131, y\u00f6netim raporlamas\u0131 \u015feffaf hale geldi.<\/li>\n<\/ol>\n
      \n

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

      S\u0131k yap\u0131lan hatalardan biri, observability verilerinin sadece uyar\u0131 \u00fcretmek i\u00e7in kullan\u0131lmas\u0131d\u0131r. Bu veriler, ayn\u0131 zamanda modelin \u00f6\u011frenme kalitesini izlemek ve i\u015f etkisini anlamak i\u00e7in kullan\u0131lmal\u0131d\u0131r.
      \nEn iyi uygulamalar \u015funlard\u0131r: <\/p>\n

        \n
      • Her model i\u00e7in ayr\u0131 izlenebilirlik metrikleri tasarlamak. <\/li>\n
      • Log verilerini yap\u0131land\u0131r\u0131lm\u0131\u015f bi\u00e7imde toplamak. <\/li>\n
      • Monitoring sistemlerini observability katman\u0131 ile b\u00fct\u00fcnle\u015ftirmek. <\/li>\n
      • G\u00f6zlem verilerini otomasyon politikalar\u0131yla ili\u015fkilendirmek. <\/li>\n
      • S\u00fcre\u00e7 de\u011fi\u015fikliklerinde observability yap\u0131land\u0131rmas\u0131n\u0131 g\u00fcncellemek.<\/li>\n<\/ul>\n
        \n

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

        Kurumsal AI\u2019da Observability, operasyonel g\u00f6r\u00fcn\u00fcrl\u00fckten \u00e7ok daha fazlas\u0131d\u0131r; sistemin tamam\u0131n\u0131 anlamaya ve y\u00f6netmeye y\u00f6nelik bir teknik gerekliliktir. Do\u011fru kuruldu\u011funda, performans ve g\u00fcvenilirli\u011fi garanti alt\u0131na al\u0131r, otomasyonu g\u00fc\u00e7lendirir. NeKu.AI\u2019nin mimari yakla\u015f\u0131m\u0131 bu vizyonu destekler: AI sistemlerinin kendi s\u00fcre\u00e7lerini izleyebildi\u011fi, analiz edebildi\u011fi ve aksiyon alabilece\u011fi bir ekosistem olu\u015fturmak. Bu da modern i\u015fletmeler i\u00e7in kal\u0131c\u0131 operasyonel m\u00fckemmelli\u011fin anahtar\u0131d\u0131r.<\/p>","protected":false},"excerpt":{"rendered":"

        Kurumsal AI\u2019da Observability Giri\u015f Kurumsal AI\u2019da Observability, bir yapay zeka sisteminin i\u00e7 s\u00fcre\u00e7lerini ve performans\u0131n\u0131 g\u00f6r\u00fcn\u00fcr, \u00f6l\u00e7\u00fclebilir ve analiz edilebilir hale getirme yetene\u011fidir. G\u00fcn\u00fcm\u00fczde operasyon ekipleri [\u2026]<\/span><\/p>\n","protected":false},"author":2,"featured_media":1030,"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-1029","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry"],"yoast_head":"\nKurumsal AI'da Observability ile G\u00fcvenilir Otomasyon - 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-observability-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Kurumsal AI'da Observability ile G\u00fcvenilir Otomasyon - NeKu.AI\" \/>\n<meta property=\"og:description\" content=\"Kurumsal AI\u2019da Observability Giri\u015f Kurumsal AI\u2019da Observability, bir yapay zeka sisteminin i\u00e7 s\u00fcre\u00e7lerini ve performans\u0131n\u0131 g\u00f6r\u00fcn\u00fcr, \u00f6l\u00e7\u00fclebilir ve analiz edilebilir hale getirme yetene\u011fidir. G\u00fcn\u00fcm\u00fczde operasyon ekipleri [\u2026]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/neku.ai\/en\/kurumsal-ai-observability-2\/\" \/>\n<meta property=\"og:site_name\" content=\"NeKu.AI\" \/>\n<meta property=\"article:published_time\" content=\"2026-02-15T17:02:20+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-02-15T17:02:38+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-observability-2\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-observability-2\\\/\"},\"author\":{\"name\":\"Serkan \u00d6zcan\",\"@id\":\"https:\\\/\\\/neku.ai\\\/#\\\/schema\\\/person\\\/cf640cfda3e16635fb740662d943e96b\"},\"headline\":\"Kurumsal AI’da Observability ile G\u00fcvenilir Otomasyon\",\"datePublished\":\"2026-02-15T17:02:20+00:00\",\"dateModified\":\"2026-02-15T17:02:38+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-observability-2\\\/\"},\"wordCount\":1011,\"publisher\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-observability-2\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/uploads\\\/2026\\\/02\\\/cover-image-1029.png\",\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-observability-2\\\/\",\"url\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-observability-2\\\/\",\"name\":\"Kurumsal AI'da Observability ile G\u00fcvenilir Otomasyon - NeKu.AI\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-observability-2\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-observability-2\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/uploads\\\/2026\\\/02\\\/cover-image-1029.png\",\"datePublished\":\"2026-02-15T17:02:20+00:00\",\"dateModified\":\"2026-02-15T17:02:38+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-observability-2\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-observability-2\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-observability-2\\\/#primaryimage\",\"url\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/uploads\\\/2026\\\/02\\\/cover-image-1029.png\",\"contentUrl\":\"https:\\\/\\\/neku.ai\\\/wp-content\\\/uploads\\\/2026\\\/02\\\/cover-image-1029.png\",\"width\":1024,\"height\":1024},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/neku.ai\\\/kurumsal-ai-observability-2\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Anasayfa\",\"item\":\"https:\\\/\\\/neku.ai\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Kurumsal AI’da Observability ile G\u00fcvenilir Otomasyon\"}]},{\"@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'da Observability ile G\u00fcvenilir Otomasyon - 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-observability-2\/","og_locale":"en_US","og_type":"article","og_title":"Kurumsal AI'da Observability ile G\u00fcvenilir Otomasyon - NeKu.AI","og_description":"Kurumsal AI\u2019da Observability Giri\u015f Kurumsal AI\u2019da Observability, bir yapay zeka sisteminin i\u00e7 s\u00fcre\u00e7lerini ve performans\u0131n\u0131 g\u00f6r\u00fcn\u00fcr, \u00f6l\u00e7\u00fclebilir ve analiz edilebilir hale getirme yetene\u011fidir. G\u00fcn\u00fcm\u00fczde operasyon ekipleri [\u2026]","og_url":"https:\/\/neku.ai\/en\/kurumsal-ai-observability-2\/","og_site_name":"NeKu.AI","article_published_time":"2026-02-15T17:02:20+00:00","article_modified_time":"2026-02-15T17:02:38+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-observability-2\/#article","isPartOf":{"@id":"https:\/\/neku.ai\/kurumsal-ai-observability-2\/"},"author":{"name":"Serkan \u00d6zcan","@id":"https:\/\/neku.ai\/#\/schema\/person\/cf640cfda3e16635fb740662d943e96b"},"headline":"Kurumsal AI’da Observability ile G\u00fcvenilir Otomasyon","datePublished":"2026-02-15T17:02:20+00:00","dateModified":"2026-02-15T17:02:38+00:00","mainEntityOfPage":{"@id":"https:\/\/neku.ai\/kurumsal-ai-observability-2\/"},"wordCount":1011,"publisher":{"@id":"https:\/\/neku.ai\/#organization"},"image":{"@id":"https:\/\/neku.ai\/kurumsal-ai-observability-2\/#primaryimage"},"thumbnailUrl":"https:\/\/neku.ai\/wp-content\/uploads\/2026\/02\/cover-image-1029.png","inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/neku.ai\/kurumsal-ai-observability-2\/","url":"https:\/\/neku.ai\/kurumsal-ai-observability-2\/","name":"Kurumsal AI'da Observability ile G\u00fcvenilir Otomasyon - NeKu.AI","isPartOf":{"@id":"https:\/\/neku.ai\/#website"},"primaryImageOfPage":{"@id":"https:\/\/neku.ai\/kurumsal-ai-observability-2\/#primaryimage"},"image":{"@id":"https:\/\/neku.ai\/kurumsal-ai-observability-2\/#primaryimage"},"thumbnailUrl":"https:\/\/neku.ai\/wp-content\/uploads\/2026\/02\/cover-image-1029.png","datePublished":"2026-02-15T17:02:20+00:00","dateModified":"2026-02-15T17:02:38+00:00","breadcrumb":{"@id":"https:\/\/neku.ai\/kurumsal-ai-observability-2\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/neku.ai\/kurumsal-ai-observability-2\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/neku.ai\/kurumsal-ai-observability-2\/#primaryimage","url":"https:\/\/neku.ai\/wp-content\/uploads\/2026\/02\/cover-image-1029.png","contentUrl":"https:\/\/neku.ai\/wp-content\/uploads\/2026\/02\/cover-image-1029.png","width":1024,"height":1024},{"@type":"BreadcrumbList","@id":"https:\/\/neku.ai\/kurumsal-ai-observability-2\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Anasayfa","item":"https:\/\/neku.ai\/"},{"@type":"ListItem","position":2,"name":"Kurumsal AI’da Observability ile G\u00fcvenilir Otomasyon"}]},{"@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\/1029","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=1029"}],"version-history":[{"count":1,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/posts\/1029\/revisions"}],"predecessor-version":[{"id":1031,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/posts\/1029\/revisions\/1031"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/media\/1030"}],"wp:attachment":[{"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/media?parent=1029"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/categories?post=1029"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/neku.ai\/en\/wp-json\/wp\/v2\/tags?post=1029"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}