{"id":951,"date":"2026-02-05T08:01:25","date_gmt":"2026-02-05T05:01:25","guid":{"rendered":"https:\/\/neku.ai\/ai-sistemlerinde-geriye-donuk-uyumluluk\/"},"modified":"2026-02-05T08:01:50","modified_gmt":"2026-02-05T05:01:50","slug":"ai-sistemlerinde-geriye-donuk-uyumluluk","status":"publish","type":"post","link":"https:\/\/neku.ai\/en\/ai-sistemlerinde-geriye-donuk-uyumluluk\/","title":{"rendered":"AI sistemlerinde geriye d\u00f6n\u00fck uyumluluk ile kesintisiz model ge\u00e7i\u015fi"},"content":{"rendered":"

AI Sistemlerinde Geriye D\u00f6n\u00fck Uyumluluk<\/strong><\/h1>\n
\n

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

AI sistemlerinde geriye d\u00f6n\u00fck uyumluluk, eski modellerle veya API s\u00fcr\u00fcmleriyle uyumlu kalabilme yetene\u011fidir. \u00d6zellikle backward compatibility ai<\/em> operasyonel s\u00fcrd\u00fcr\u00fclebilirlik a\u00e7\u0131s\u0131ndan kritik \u00f6neme sahiptir. Model g\u00fcncellemeleri (model updates) s\u0131ras\u0131nda sistemlerin birbirleriyle olan entegrasyonlar\u0131n\u0131n bozulmamas\u0131, i\u015fletme \u00f6l\u00e7e\u011finde kesintisiz hizmetin temelini olu\u015fturur.<\/p>\n

\n

AI Sistemlerinde Geriye D\u00f6n\u00fck Uyumluluk tan\u0131m\u0131<\/strong><\/h3>\n

Geriye d\u00f6n\u00fck uyumluluk, bir AI sisteminin \u00f6nceki s\u00fcr\u00fcmlerdeki modeller, veri formatlar\u0131 veya tahmin yap\u0131lar\u0131n\u0131 desteklemeye devam etmesi anlam\u0131na gelir. Backward compatibility ai<\/em>, model g\u00fcncellemeleri sonras\u0131 API, veri modeli veya \u00e7\u0131kt\u0131 formatlar\u0131n\u0131n ge\u00e7mi\u015fle tutarl\u0131l\u0131\u011f\u0131n\u0131 koruyacak bi\u00e7imde tasarlanmas\u0131d\u0131r. Bu, hem teknik ekiplere hem de i\u015f birimlerine g\u00fcncelleme s\u00fcrecinde g\u00fcvenilir ge\u00e7i\u015f imkan\u0131 sa\u011flar.<\/p>\n

\n

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

Geriye d\u00f6n\u00fck uyumluluk, sistem tasar\u0131m\u0131n\u0131n merkezinde yer alan versiyonlama stratejileri, yap\u0131land\u0131rma katmanlar\u0131 ve mod\u00fcler API yap\u0131lar\u0131yla sa\u011flan\u0131r. Her model g\u00fcncellemesi, \u00f6nceki modelin \u00e7\u0131kt\u0131 format\u0131n\u0131 koruyacak \u015fekilde tasarlan\u0131r ve ge\u00e7i\u015f s\u00fcrecinde paralel test senaryolar\u0131 devreye al\u0131n\u0131r.<\/p>\n

\n

Temel parametreler ve ayarlar<\/strong><\/h3>\n
    \n
  • Versiyonlama politikas\u0131:<\/strong> Her model s\u00fcr\u00fcm\u00fc a\u00e7\u0131k\u00e7a etiketlenir ve sistem bu s\u00fcr\u00fcmler aras\u0131nda belirli denetimler yapabilir. <\/li>\n
  • Veri \u015femas\u0131 y\u00f6netimi:<\/strong> Geriye d\u00f6n\u00fck uyumluluk i\u00e7in schema migration prosed\u00fcrleri tan\u0131mlan\u0131r. <\/li>\n
  • A\/B test altyap\u0131s\u0131:<\/strong> Yeni ve eski model ayn\u0131 anda \u00e7al\u0131\u015ft\u0131r\u0131larak tutarl\u0131l\u0131k kontrol edilir. <\/li>\n
  • API s\u00f6zle\u015fmeleri:<\/strong> Girdiler ve \u00e7\u0131kt\u0131lar i\u00e7in sabit tip tan\u0131mlamalar\u0131 yap\u0131l\u0131r.<\/li>\n<\/ul>\n
    \n

    S\u0131k yap\u0131lan hatalar ve ka\u00e7\u0131nma y\u00f6ntemleri<\/strong><\/h3>\n
      \n
    • Model format\u0131n\u0131 sessizce de\u011fi\u015ftirmek:<\/strong> Bu, entegrasyon sistemlerinin hata vermesine neden olur. G\u00fcncellemeden \u00f6nce a\u00e7\u0131k dok\u00fcmantasyon yap\u0131lmal\u0131d\u0131r. <\/li>\n
    • Versiyon kontrols\u00fcz ge\u00e7i\u015fler:<\/strong> T\u00fcm model updates s\u00fcr\u00fcmleri kod taban\u0131nda net bi\u00e7imde izlenmelidir. <\/li>\n
    • Test kapsam\u0131n\u0131n dar tutulmas\u0131:<\/strong> \u00dcretim \u00f6ncesi veri \u00e7e\u015fitlili\u011fi yeterince denenmezse uyumsuzluklar ka\u00e7\u0131n\u0131lmaz olur.<\/li>\n<\/ul>\n
      \n

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

      B\u00fcy\u00fck \u00f6l\u00e7ekli tahmin sistemlerinde, yeni bir model devreye al\u0131n\u0131rken eski modelin REST API yap\u0131s\u0131 korunur. Model \u00e7\u0131kt\u0131s\u0131 JSON format\u0131na sahip kal\u0131r, yaln\u0131zca ek alanlar \u201cdefault null\u201d bi\u00e7iminde tan\u0131mlan\u0131r. Bu sayede istemci uygulamalar yeni s\u00fcr\u00fcme ge\u00e7meden \u00e7al\u0131\u015fmaya devam eder. Entegrasyon katman\u0131nda backward compatibility ai ilkesi otomatik testlerle do\u011frulan\u0131r.<\/p>\n

      \n

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

      Bir AI platformunda geriye d\u00f6n\u00fck uyumluluk, yaz\u0131l\u0131m s\u00fcr\u00fcmleme, veri \u015femas\u0131 evrimi ve model y\u00f6netimi s\u00fcre\u00e7lerinin entegre \u00e7al\u0131\u015fmas\u0131yla sa\u011flan\u0131r. Backward compatibility ai<\/em> yakla\u015f\u0131m\u0131, model g\u00fcncellemelerinin etkisini azaltmak i\u00e7in \u201cpasif s\u00fcr\u00fcmleme\u201d tekni\u011fini kullan\u0131r; yani eski model mant\u0131\u011f\u0131 sistemde belirli bir s\u00fcre daha eri\u015filebilir kal\u0131r. Bu metod, \u00fcretim ortam\u0131nda model de\u011fi\u015fimlerinin operasyonel etkiyi minimize etmesini sa\u011flar. Pipeline y\u00f6netimi ve feature store mimarisi, eski \u00f6zellik setlerinin korunmas\u0131n\u0131 ve yeni s\u00fcr\u00fcmlerle g\u00fcvenli ge\u00e7i\u015fi m\u00fcmk\u00fcn k\u0131lar.<\/p>\n

      \n

      \u0130\u015fletmeler i\u00e7in neden kritiktir<\/strong><\/h3>\n
        \n
      • Performans:<\/strong> Yeni modeller devreye al\u0131n\u0131rken sistem durmadan \u00e7al\u0131\u015f\u0131r. <\/li>\n
      • G\u00fcvenilirlik:<\/strong> Tarihsel verilerle tutarl\u0131l\u0131k bozulmaz. <\/li>\n
      • Maliyet:<\/strong> Yeniden entegrasyon maliyeti azal\u0131r. <\/li>\n
      • \u00d6l\u00e7ekleme:<\/strong> Eski ve yeni s\u00fcr\u00fcmler ayn\u0131 anda y\u00f6netilebilir. <\/li>\n
      • Otomasyon:<\/strong> S\u00fcrekli g\u00fcncellemelerde manuel m\u00fcdahale d\u00fc\u015fer. <\/li>\n
      • Karar alma:<\/strong> Tahmin do\u011frulu\u011fu s\u00fcr\u00fcm ge\u00e7i\u015flerinde istikrarl\u0131 kal\u0131r. <\/li>\n
      • Operasyonel verimlilik:<\/strong> G\u00fcncellemeler \u00fcretim hatt\u0131n\u0131 kesmeden uygulan\u0131r.<\/li>\n<\/ul>\n
        \n

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

        NeKu.AI platform mimarisi, model ya\u015fam d\u00f6ng\u00fcs\u00fc boyunca geriye d\u00f6n\u00fck uyumluluk ilkesini temel al\u0131r. Veri ve model katmanlar\u0131 s\u00fcr\u00fcm bazl\u0131 \u00e7al\u0131\u015f\u0131r; her API de\u011fi\u015fikli\u011fi \u00f6nceki s\u00fcr\u00fcmlerle uyumluluk testlerinden ge\u00e7er. Model updates s\u00fcre\u00e7leri CI\/CD mekanizmalar\u0131na entegre edilir, b\u00f6ylece operasyon ekipleri s\u00fcr\u00fcm ge\u00e7i\u015flerinde kesinti ya\u015famaz. Bu yakla\u015f\u0131m, platformun g\u00fcvenli ve esnek entegrasyon vizyonunu destekler.<\/p>\n

        \n

        CTO, CIO, \u00fcr\u00fcn y\u00f6neticileri i\u00e7in ger\u00e7ek bir senaryo<\/strong><\/h3>\n
          \n
        1. Sorun:<\/strong> Yeni model devreye al\u0131n\u0131rken eski raporlama ara\u00e7lar\u0131 uyumsuzluk hatas\u0131 vermektedir. <\/li>\n
        2. Ba\u011flam:<\/strong> Kurumsal finans analizi servisi g\u00fcnl\u00fck milyonlarca tahmin \u00fcretmektedir. <\/li>\n
        3. Kavram\u0131n uygulanmas\u0131:<\/strong> Backward compatibility ai<\/em> stratejisiyle model g\u00fcncellemeleri s\u0131ras\u0131nda eski JSON \u00e7\u0131kt\u0131lar korunur ve API sorgular\u0131 iki s\u00fcr\u00fcm\u00fc paralel i\u015fler. <\/li>\n
        4. Sonu\u00e7:<\/strong> Raporlama sistemi kesintisiz \u00e7al\u0131\u015fmaya devam eder, yeni model do\u011frulu\u011fu test edilir. <\/li>\n
        5. \u0130\u015f etkisi:<\/strong> Operasyonel s\u00fcreklilik ve kullan\u0131c\u0131 memnuniyeti korunur, ge\u00e7i\u015f s\u00fcresi %40 azal\u0131r.<\/li>\n<\/ol>\n
          \n

          S\u0131k yap\u0131lan hatalar ve en iyi uygulamalar<\/strong><\/h3>\n
            \n
          • En iyi uygulamalar:<\/strong> <\/li>\n
          • Model s\u00fcr\u00fcmleme yap\u0131s\u0131n\u0131 dok\u00fcmante etmek <\/li>\n
          • Hata ay\u0131klama i\u00e7in otomatik geriye d\u00f6n\u00fck test senaryolar\u0131 olu\u015fturmak <\/li>\n
          • Veri format de\u011fi\u015fikliklerini kontroll\u00fc ve etapl\u0131 ge\u00e7i\u015flerle yapmak <\/li>\n
          • Eski s\u00fcr\u00fcmleri tamamen silmeden \u00f6nce yeterli kullan\u0131m verisi toplamak <\/li>\n
          • Ka\u00e7\u0131n\u0131lmas\u0131 gereken durumlar:<\/strong> <\/li>\n
          • Uyumluluk testlerini sadece geli\u015ftirme ortam\u0131nda yapmak <\/li>\n
          • Model g\u00fcncellemelerini kullan\u0131c\u0131ya duyurmadan devreye almak <\/li>\n
          • API protokollerini versiyonlamadan de\u011fi\u015ftirmek<\/li>\n<\/ul>\n
            \n

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

            AI sistemlerinde geriye d\u00f6n\u00fck uyumluluk, model g\u00fcncellemeleriyle operasyonel istikrar aras\u0131ndaki dengeyi kurar. Backward compatibility ai<\/em> prensibi, veri tutarl\u0131l\u0131\u011f\u0131n\u0131 korurken sistemin evrimini h\u0131zland\u0131r\u0131r. NeKu.AI gibi kurumsal AI platformlar\u0131 bu kavram\u0131 s\u00fcre\u00e7 otomasyonuna ve model ya\u015fam d\u00f6ng\u00fcs\u00fc y\u00f6netimine entegre ederek i\u015fletmelere kesintisiz d\u00f6n\u00fc\u015f\u00fcm olana\u011f\u0131 sa\u011flar.<\/p>","protected":false},"excerpt":{"rendered":"

            AI Sistemlerinde Geriye D\u00f6n\u00fck Uyumluluk Giri\u015f AI sistemlerinde geriye d\u00f6n\u00fck uyumluluk, eski modellerle veya API s\u00fcr\u00fcmleriyle uyumlu kalabilme yetene\u011fidir. \u00d6zellikle backward compatibility ai operasyonel s\u00fcrd\u00fcr\u00fclebilirlik a\u00e7\u0131s\u0131ndan [\u2026]<\/span><\/p>\n","protected":false},"author":2,"featured_media":952,"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-951","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry"],"yoast_head":"\nAI sistemlerinde geriye d\u00f6n\u00fck uyumluluk ile kesintisiz model ge\u00e7i\u015fi - 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\/ai-sistemlerinde-geriye-donuk-uyumluluk\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI sistemlerinde geriye d\u00f6n\u00fck uyumluluk ile kesintisiz model ge\u00e7i\u015fi - 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