{"id":36544,"date":"2025-12-19T17:30:42","date_gmt":"2025-12-19T14:30:42","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/gorsellestirilmis-dagitim-stratejileri-yaziliminizi-guvenle-yayina-alin\/"},"modified":"2025-12-19T17:30:42","modified_gmt":"2025-12-19T14:30:42","slug":"gorsellestirilmis-dagitim-stratejileri-yaziliminizi-guvenle-yayina-alin","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/gorsellestirilmis-dagitim-stratejileri-yaziliminizi-guvenle-yayina-alin\/","title":{"rendered":"G\u00f6rselle\u015ftirilmi\u015f Da\u011f\u0131t\u0131m Stratejileri: Yaz\u0131l\u0131m\u0131n\u0131z\u0131 G\u00fcvenle Yay\u0131na Al\u0131n"},"content":{"rendered":"<h2>G\u00f6rselle\u015ftirilmi\u015f Da\u011f\u0131t\u0131m Stratejileri: Yaz\u0131l\u0131m\u0131n\u0131z\u0131 G\u00fcvenle Yay\u0131na Al\u0131n<\/h2>\n<p>Modern yaz\u0131l\u0131m geli\u015ftirme s\u00fcre\u00e7lerinde, geli\u015ftirilen uygulamalar\u0131n son kullan\u0131c\u0131lara g\u00fcvenli, h\u0131zl\u0131 ve kesintisiz bir \u015fekilde ula\u015ft\u0131r\u0131lmas\u0131 kritik bir \u00f6neme sahiptir. Bu s\u00fcre\u00e7, &#8220;da\u011f\u0131t\u0131m&#8221; (deployment) olarak adland\u0131r\u0131l\u0131r ve uygulaman\u0131n canl\u0131 ortama al\u0131nmas\u0131 i\u00e7in izlenen y\u00f6ntemleri kapsar. Do\u011fru da\u011f\u0131t\u0131m stratejisini se\u00e7mek, hem riskleri minimize etmek hem de kullan\u0131c\u0131 deneyimini optimize etmek a\u00e7\u0131s\u0131ndan hayati rol oynar. Bu makalede, farkl\u0131 da\u011f\u0131t\u0131m stratejilerini detayl\u0131 bir \u015fekilde inceleyecek, avantajlar\u0131n\u0131 ve dezavantajlar\u0131n\u0131 g\u00f6rsel bir bak\u0131\u015f a\u00e7\u0131s\u0131yla ele alarak, projeniz i\u00e7in en uygun yakla\u015f\u0131m\u0131 belirlemenize yard\u0131mc\u0131 olaca\u011f\u0131z.<\/p>\n<h2>Yaz\u0131l\u0131m Da\u011f\u0131t\u0131m\u0131n\u0131n \u00d6nemi ve G\u00f6rselle\u015ftirmenin De\u011feri<\/h2>\n<h3>Yaz\u0131l\u0131m Da\u011f\u0131t\u0131m\u0131n\u0131n Kritik Rol\u00fc<\/h3>\n<p>Yaz\u0131l\u0131m da\u011f\u0131t\u0131m\u0131, geli\u015ftirme d\u00f6ng\u00fcs\u00fcn\u00fcn son ve belki de en stresli ad\u0131m\u0131d\u0131r. Ba\u015far\u0131l\u0131 bir da\u011f\u0131t\u0131m, yeni \u00f6zelliklerin h\u0131zl\u0131 bir \u015fekilde kullan\u0131c\u0131lara sunulmas\u0131n\u0131, hatalar\u0131n an\u0131nda d\u00fczeltilmesini ve genel sistem istikrar\u0131n\u0131n korunmas\u0131n\u0131 sa\u011flar. Yanl\u0131\u015f bir strateji ise kesintilere, veri kay\u0131plar\u0131na, m\u00fc\u015fteri memnuniyetsizli\u011fine ve ciddi finansal kay\u0131plara yol a\u00e7abilir. Bu nedenle, da\u011f\u0131t\u0131m s\u00fcre\u00e7lerini titizlikle planlamak ve uygulamak, modern DevOps pratiklerinin temelini olu\u015fturur.<\/p>\n<h3>Neden G\u00f6rselle\u015ftirmeye \u0130htiya\u00e7 Duyar\u0131z?<\/h3>\n<p>Da\u011f\u0131t\u0131m stratejileri, genellikle karma\u015f\u0131k i\u015f ak\u0131\u015flar\u0131 ve altyap\u0131 de\u011fi\u015fiklikleri i\u00e7erir. Bu karma\u015f\u0131kl\u0131\u011f\u0131 anlamak ve farkl\u0131 yakla\u015f\u0131mlar aras\u0131ndaki ince farklar\u0131 kavramak, g\u00f6rselle\u015ftirmelerle \u00e7ok daha kolay hale gelir. Ak\u0131\u015f \u015femalar\u0131, durum diyagramlar\u0131 veya altyap\u0131 topolojisi \u00e7izimleri, bir stratejinin nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131, hangi bile\u015fenlerin etkilendi\u011fini ve olas\u0131 risk noktalar\u0131n\u0131 net bir \u015fekilde ortaya koyar. Bu, ekiplerin daha bilin\u00e7li kararlar almas\u0131na, ileti\u015fimlerini g\u00fc\u00e7lendirmesine ve da\u011f\u0131t\u0131m s\u00fcre\u00e7lerini daha etkin bir \u015fekilde y\u00f6netmesine olanak tan\u0131r.<\/p>\n<h2>Geleneksel Da\u011f\u0131t\u0131m Yakla\u015f\u0131mlar\u0131<\/h2>\n<h3>Manuel ve &#8220;Big Bang&#8221; Da\u011f\u0131t\u0131m<\/h3>\n<p>Ge\u00e7mi\u015fte, \u00e7o\u011fu da\u011f\u0131t\u0131m s\u00fcreci manuel ad\u0131mlarla ilerlerdi. Geli\u015ftirilen yaz\u0131l\u0131m, genellikle mesai saatleri d\u0131\u015f\u0131nda veya hafta sonlar\u0131, t\u00fcm sistemin durdurulup yeni s\u00fcr\u00fcm\u00fcn y\u00fcklenmesiyle canl\u0131ya al\u0131n\u0131rd\u0131. Bu yakla\u015f\u0131m, &#8220;Big Bang&#8221; da\u011f\u0131t\u0131m olarak bilinir. T\u00fcm de\u011fi\u015fiklikler tek seferde, b\u00fcy\u00fck bir paket halinde devreye al\u0131n\u0131r.<\/p>\n<p><strong>Avantajlar\u0131:<\/strong><\/p>\n<ul>\n<li>K\u00fc\u00e7\u00fck projelerde veya \u00e7ok nadir da\u011f\u0131t\u0131m gerektiren durumlarda basitlik sunar.<\/li>\n<\/ul>\n<p><strong>Dezavantajlar\u0131:<\/strong><\/p>\n<ul>\n<li>Y\u00fcksek risk i\u00e7erir; bir sorun \u00e7\u0131kt\u0131\u011f\u0131nda t\u00fcm sistem etkilenir.<\/li>\n<li>Geri alma (rollback) s\u00fcre\u00e7leri genellikle zordur ve zaman al\u0131r.<\/li>\n<li>Kesinti s\u00fcresi (downtime) ka\u00e7\u0131n\u0131lmazd\u0131r.<\/li>\n<li>\u0130nsan hatas\u0131na a\u00e7\u0131kt\u0131r.<\/li>\n<\/ul>\n<h3>Geleneksel Yakla\u015f\u0131mlar\u0131n S\u0131n\u0131rl\u0131l\u0131klar\u0131<\/h3>\n<p>G\u00fcn\u00fcm\u00fcz\u00fcn h\u0131zl\u0131 tempolu yaz\u0131l\u0131m geli\u015ftirme d\u00fcnyas\u0131nda, geleneksel y\u00f6ntemler genellikle yetersiz kal\u0131r. S\u00fcrekli entegrasyon ve s\u00fcrekli da\u011f\u0131t\u0131m (CI\/CD) prensipleri, daha s\u0131k ve daha k\u00fc\u00e7\u00fck da\u011f\u0131t\u0131mlar\u0131 te\u015fvik ederken, Big Bang yakla\u015f\u0131m\u0131 bu felsefeyle \u00e7eli\u015fir. Bu nedenle, modern uygulamalar i\u00e7in daha esnek, g\u00fcvenli ve otomatikle\u015ftirilmi\u015f stratejilere ihtiya\u00e7 duyulmaktad\u0131r.<\/p>\n<h2>Mavi\/Ye\u015fil Da\u011f\u0131t\u0131m (Blue\/Green Deployment)<\/h2>\n<h3>Temel Prensip: \u0130ki \u00d6zde\u015f Ortam<\/h3>\n<p>Mavi\/Ye\u015fil da\u011f\u0131t\u0131m, canl\u0131 ortam\u0131n iki \u00f6zde\u015f kopyas\u0131n\u0131 bulundurma prensibine dayan\u0131r: &#8220;Mavi&#8221; ve &#8220;Ye\u015fil&#8221;. Bir ortam (\u00f6rne\u011fin Mavi) mevcut canl\u0131 s\u00fcr\u00fcm\u00fc bar\u0131nd\u0131r\u0131rken, di\u011fer ortam (Ye\u015fil) yeni s\u00fcr\u00fcm i\u00e7in haz\u0131rlan\u0131r. Yeni s\u00fcr\u00fcm, Ye\u015fil ortamda test edildikten sonra, trafik y\u00f6nlendirmesi (genellikle bir y\u00fck dengeleyici veya ters proxy arac\u0131l\u0131\u011f\u0131yla) Mavi&#8217;den Ye\u015fil&#8217;e an\u0131nda ge\u00e7irilir. B\u00f6ylece kullan\u0131c\u0131lar yeni s\u00fcr\u00fcme kesintisiz bir ge\u00e7i\u015f yapar.<\/p>\n<p><strong>G\u00f6rselle\u015ftirme:<\/strong><\/p>\n<pre><code class=\"language-text\">\n       +-----------------+        +-----------------+\n       |   Y\u00fck Dengeleyici   |        |   Y\u00fck Dengeleyici   |\n       +--------+--------+        +--------+--------+\n                |                            |\n                V                            V\n         +------------+               +------------+\n         | Mavi Ortam |               | Ye\u015fil Ortam|\n         | (Eski S\u00fcr\u00fcm) |               | (Yeni S\u00fcr\u00fcm) |\n         +------------+               +------------+\n\n       Ba\u015flang\u0131\u00e7: Trafik Mavi'ye gider.\n       Da\u011f\u0131t\u0131m: Ye\u015fil'e yeni s\u00fcr\u00fcm kurulur, test edilir.\n       Ge\u00e7i\u015f: Y\u00fck Dengeleyici trafi\u011fi Ye\u015fil'e y\u00f6nlendirir.\n       Geri Alma: Y\u00fck Dengeleyici trafi\u011fi tekrar Mavi'ye y\u00f6nlendirir.\n<\/pre>\n<p><\/code><\/p>\n<h3>Avantajlar\u0131 ve Dezavantajlar\u0131<\/h3>\n<p><strong>Avantajlar\u0131:<\/strong><\/p>\n<ul>\n<li><strong>S\u0131f\u0131r Kesinti S\u00fcresi:<\/strong> Kullan\u0131c\u0131lar i\u00e7in neredeyse hi\u00e7 kesinti ya\u015fanmaz.<\/li>\n<li><strong>Kolay Geri Alma:<\/strong> Bir sorun durumunda, trafik an\u0131nda eski (Mavi) ortama geri y\u00f6nlendirilebilir.<\/li>\n<li><strong>G\u00fcvenli Test:<\/strong> Yeni s\u00fcr\u00fcm, canl\u0131 trafi\u011fe a\u00e7\u0131lmadan \u00f6nce tamamen izole bir ortamda test edilebilir.<\/li>\n<\/ul>\n<p><strong>Dezavantajlar\u0131:<\/strong><\/p>\n<ul>\n<li><strong>Altyap\u0131 Maliyeti:<\/strong> \u0130ki tam te\u015fekk\u00fcll\u00fc canl\u0131 ortam gerektirdi\u011fi i\u00e7in altyap\u0131 maliyeti y\u00fcksektir.<\/li>\n<li><strong>Veritaban\u0131 Y\u00f6netimi:<\/strong> Veritaban\u0131 \u015fema de\u011fi\u015fiklikleri gibi durumlar, iki ortam aras\u0131nda senkronizasyonu zorla\u015ft\u0131rabilir.<\/li>\n<\/ul>\n<h3>Uygulama Senaryolar\u0131<\/h3>\n<p>Mavi\/Ye\u015fil da\u011f\u0131t\u0131m, y\u00fcksek kullan\u0131labilirlik gerektiren, kesinti s\u00fcresinin kabul edilemez oldu\u011fu ve h\u0131zl\u0131 geri alma yetene\u011finin \u00f6nemli oldu\u011fu kurumsal uygulamalar ve e-ticaret platformlar\u0131 i\u00e7in idealdir.<\/p>\n<h2>Kanarya Da\u011f\u0131t\u0131m\u0131 (Canary Deployment)<\/h2>\n<h3>A\u015famal\u0131 Yay\u0131na Alma ve Risk Y\u00f6netimi<\/h3>\n<p>Kanarya da\u011f\u0131t\u0131m\u0131, yeni bir s\u00fcr\u00fcm\u00fc k\u00fc\u00e7\u00fck bir kullan\u0131c\u0131 alt k\u00fcmesine (genellikle %1-5) kademeli olarak sunma stratejisidir. T\u0131pk\u0131 madenlerdeki kanarya ku\u015flar\u0131 gibi, yeni s\u00fcr\u00fcmdeki olas\u0131 sorunlar, t\u00fcm kullan\u0131c\u0131lar\u0131 etkilemeden \u00f6nce bu k\u00fc\u00e7\u00fck grup \u00fczerinde tespit edilir. E\u011fer her \u015fey yolundaysa, yeni s\u00fcr\u00fcm daha geni\u015f bir kitleye a\u015famal\u0131 olarak yay\u0131l\u0131r.<\/p>\n<p><strong>G\u00f6rselle\u015ftirme:<\/strong><\/p>\n<pre><code class=\"language-text\">\n       +-----------------+\n       |   Y\u00fck Dengeleyici   |\n       +--------+--------+\n                |\n       +--------+--------+\n       |                  |\n       V                  V\n+------------+       +------------+\n| Eski S\u00fcr\u00fcm |       | Yeni S\u00fcr\u00fcm |\n| (90-99% Trafik) |   | (1-10% Trafik) |\n+------------+       +------------+\n\n       Ad\u0131m 1: Yeni s\u00fcr\u00fcm k\u00fc\u00e7\u00fck bir y\u00fczdeye a\u00e7\u0131l\u0131r.\n       Ad\u0131m 2: \u0130zleme yap\u0131l\u0131r. Sorun yoksa y\u00fczde art\u0131r\u0131l\u0131r.\n       Ad\u0131m 3: T\u00fcm trafik yeni s\u00fcr\u00fcme y\u00f6nlendirilir.\n<\/pre>\n<p><\/code><\/p>\n<h3>Uygulama ve \u0130zleme<\/h3>\n<p>Kanarya da\u011f\u0131t\u0131m\u0131nda izleme (monitoring) kritik \u00f6neme sahiptir. Performans metrikleri, hata oranlar\u0131 ve kullan\u0131c\u0131 geri bildirimleri yak\u0131ndan takip edilmelidir. Herhangi bir anormallik durumunda, trafik hemen eski s\u00fcr\u00fcme geri y\u00f6nlendirilebilir. Bu s\u00fcre\u00e7 genellikle otomatikle\u015ftirilmi\u015f ara\u00e7larla y\u00f6netilir.<\/p>\n<p><strong>Avantajlar\u0131:<\/strong><\/p>\n<ul>\n<li><strong>D\u00fc\u015f\u00fck Risk:<\/strong> Yeni s\u00fcr\u00fcm\u00fcn etkisini s\u0131n\u0131rl\u0131 bir kitle \u00fczerinde test etme imkan\u0131 sunar.<\/li>\n<li><strong>Ger\u00e7ek Kullan\u0131c\u0131 Geri Bildirimi:<\/strong> Ger\u00e7ek d\u00fcnya ko\u015fullar\u0131nda performans ve kullan\u0131labilirlik verileri toplar.<\/li>\n<li><strong>Kolay Geri Alma:<\/strong> Sorun durumunda sadece k\u00fc\u00e7\u00fck bir kitle etkilenir ve geri alma basittir.<\/li>\n<\/ul>\n<p><strong>Dezavantajlar\u0131:<\/strong><\/p>\n<ul>\n<li><strong>Karma\u015f\u0131k Y\u00f6netim:<\/strong> Trafik y\u00f6nlendirme ve izleme altyap\u0131s\u0131 karma\u015f\u0131k olabilir.<\/li>\n<li><strong>Kullan\u0131c\u0131 Deneyimi Farkl\u0131l\u0131\u011f\u0131:<\/strong> Baz\u0131 kullan\u0131c\u0131lar yeni s\u00fcr\u00fcm\u00fc, di\u011ferleri eski s\u00fcr\u00fcm\u00fc deneyimleyebilir.<\/li>\n<\/ul>\n<h2>Yuvarlanan Da\u011f\u0131t\u0131m (Rolling Deployment)<\/h2>\n<h3>Kademeli G\u00fcncelleme ve S\u0131f\u0131r Kesinti Hedefi<\/h3>\n<p>Yuvarlanan da\u011f\u0131t\u0131m, bir uygulaman\u0131n yeni s\u00fcr\u00fcm\u00fcn\u00fc, mevcut sunucular\u0131n veya kapsay\u0131c\u0131lar\u0131n k\u00fc\u00e7\u00fck bir b\u00f6l\u00fcm\u00fcn\u00fc a\u015famal\u0131 olarak g\u00fcncelleyerek devreye alma stratejisidir. Eski s\u00fcr\u00fcmdeki bir sunucu kapat\u0131l\u0131r, yerine yeni s\u00fcr\u00fcmle \u00e7al\u0131\u015fan yeni bir sunucu a\u00e7\u0131l\u0131r. Bu i\u015flem, t\u00fcm sunucular g\u00fcncellenene kadar devam eder. Genellikle y\u00fck dengeleyicilerle birlikte kullan\u0131l\u0131r ve s\u0131f\u0131r kesinti s\u00fcresi hedefler.<\/p>\n<p><strong>G\u00f6rselle\u015ftirme:<\/strong><\/p>\n<pre><code class=\"language-text\">\n       +-----------------+\n       |   Y\u00fck Dengeleyici   |\n       +--------+--------+\n                |\n       +--------+--------+\n       |                  |\n       V                  V\n+------------+       +------------+       +------------+\n|  Eski S\u00fcr\u00fcm  |       |  Eski S\u00fcr\u00fcm  |       |  Eski S\u00fcr\u00fcm  |\n|  (Sunucu A)  |       |  (Sunucu B)  |       |  (Sunucu C)  |\n+------------+       +------------+       +------------+\n\n       Ad\u0131m 1: Sunucu A eski s\u00fcr\u00fcmden \u00e7\u0131kar\u0131l\u0131r, yeni s\u00fcr\u00fcmle g\u00fcncellenir.\n       Ad\u0131m 2: Sunucu B eski s\u00fcr\u00fcmden \u00e7\u0131kar\u0131l\u0131r, yeni s\u00fcr\u00fcmle g\u00fcncellenir.\n       Ad\u0131m 3: Sunucu C eski s\u00fcr\u00fcmden \u00e7\u0131kar\u0131l\u0131r, yeni s\u00fcr\u00fcmle g\u00fcncellenir.\n       (Her ad\u0131mda trafik di\u011fer sunuculara y\u00f6nlendirilir.)\n<\/pre>\n<p><\/code><\/p>\n<h3>Kapsay\u0131c\u0131 Ortamlardaki Rol\u00fc<\/h3>\n<p>Kubernetes gibi kapsay\u0131c\u0131 orkestrasyon platformlar\u0131, yuvarlanan da\u011f\u0131t\u0131m\u0131 do\u011fal olarak destekler. Bir Deployment nesnesinde s\u00fcr\u00fcm de\u011fi\u015fikli\u011fi yap\u0131ld\u0131\u011f\u0131nda, Kubernetes otomatik olarak eski pod'lar\u0131 sonland\u0131r\u0131r ve yeni pod'lar\u0131 ba\u015flat\u0131r, bu s\u0131rada uygulaman\u0131n kullan\u0131labilirli\u011fini korur. Bu, modern mikroservis mimarilerinde yayg\u0131n olarak kullan\u0131lan bir y\u00f6ntemdir.<\/p>\n<p><strong>\u00d6rnek Kubernetes YAML (Conceptual):<\/strong><\/p>\n<pre><code class=\"language-yaml\">\napiVersion: apps\/v1\nkind: Deployment\nmetadata:\n  name: my-app-deployment\nspec:\n  replicas: 3\n  selector:\n    matchLabels:\n      app: my-app\n  strategy:\n    type: RollingUpdate\n    rollingUpdate:\n      maxSurge: 1       # Bir seferde ka\u00e7 yeni pod eklenebilir\n      maxUnavailable: 1 # Bir seferde ka\u00e7 pod kullan\u0131lamaz durumda olabilir\n  template:\n    metadata:\n      labels:\n        app: my-app\n    spec:\n      containers:\n      - name: my-app-container\n        image: my-registry\/my-app:v2.0 # Yeni s\u00fcr\u00fcm etiketi\n        ports:\n        - containerPort: 80\n<\/pre>\n<p><\/code><\/p>\n<h3>Avantajlar\u0131 ve Dezavantajlar\u0131<\/h3>\n<p><strong>Avantajlar\u0131:<\/strong><\/p>\n<ul>\n<li><strong>S\u0131f\u0131r Kesinti S\u00fcresi:<\/strong> Uygulama, g\u00fcncellemeler s\u0131ras\u0131nda eri\u015filebilir kal\u0131r.<\/li>\n<li><strong>D\u00fc\u015f\u00fck Altyap\u0131 Maliyeti:<\/strong> Mavi\/Ye\u015fil gibi ek ortam gerektirmez.<\/li>\n<li><strong>Kolay Geri Alma:<\/strong> Sorun durumunda \u00f6nceki s\u00fcr\u00fcme geri d\u00f6nmek m\u00fcmk\u00fcnd\u00fcr.<\/li>\n<\/ul>\n<p><strong>Dezavantajlar\u0131:<\/strong><\/p>\n<ul>\n<li><strong>S\u00fcr\u00fcm Uyumsuzlu\u011fu:<\/strong> Da\u011f\u0131t\u0131m s\u0131ras\u0131nda hem eski hem de yeni s\u00fcr\u00fcmler ayn\u0131 anda \u00e7al\u0131\u015fabilir, bu da geriye d\u00f6n\u00fck uyumsuzluk sorunlar\u0131na yol a\u00e7abilir.<\/li>\n<li><strong>Hata Yay\u0131l\u0131m\u0131:<\/strong> Bir sorun, t\u00fcm sunuculara yay\u0131lana kadar fark edilmeyebilir, ancak etkisi Kanarya'dan daha geni\u015ftir.<\/li>\n<\/ul>\n<h2>G\u00f6lge Da\u011f\u0131t\u0131m\u0131 (Shadow Deployment)<\/h2>\n<h3>Canl\u0131 Trafik Kopyalama ve Performans Testi<\/h3>\n<p>G\u00f6lge da\u011f\u0131t\u0131m\u0131, yeni s\u00fcr\u00fcm\u00fc canl\u0131 ortama yerle\u015ftirir ancak ger\u00e7ek kullan\u0131c\u0131 trafi\u011fini do\u011frudan ona y\u00f6nlendirmez. Bunun yerine, mevcut canl\u0131 ortamdan gelen trafik, yeni s\u00fcr\u00fcme \"g\u00f6lge\" olarak kopyalan\u0131r. Yeni s\u00fcr\u00fcm, bu kopyalanm\u0131\u015f trafikle ger\u00e7ek d\u00fcnya y\u00fck\u00fc alt\u0131nda test edilirken, kullan\u0131c\u0131lar hala eski s\u00fcr\u00fcmle etkile\u015fim kurar. Bu, \u00f6zellikle performans ve \u00f6l\u00e7eklenebilirlik testleri i\u00e7in \u00e7ok de\u011ferli bir y\u00f6ntemdir.<\/p>\n<p><strong>G\u00f6rselle\u015ftirme:<\/strong><\/p>\n<pre><code class=\"language-text\">\n       +-----------------+\n       |   Y\u00fck Dengeleyici   |\n       +--------+--------+\n                |\n       +--------+--------+\n       |                  |\n       V                  V\n+------------+       +------------+\n| Eski S\u00fcr\u00fcm |       | Yeni S\u00fcr\u00fcm |\n| (Ger\u00e7ek Trafik) |   | (G\u00f6lge Trafik) |\n+------------+       +------------+\n\n       Trafik y\u00f6nlendirici, gelen iste\u011fi eski s\u00fcr\u00fcme iletirken, bir kopyas\u0131n\u0131 da yeni s\u00fcr\u00fcme g\u00f6nderir.\n       Yeni s\u00fcr\u00fcm\u00fcn yan\u0131tlar\u0131 kullan\u0131c\u0131ya d\u00f6nmez, sadece performans ve hata analizi i\u00e7in kullan\u0131l\u0131r.\n<\/pre>\n<p><\/code><\/p>\n<h3>Riskleri ve Faydalar\u0131<\/h3>\n<p><strong>Faydalar\u0131:<\/strong><\/p>\n<ul>\n<li><strong>Ger\u00e7ek Y\u00fck Testi:<\/strong> Yeni s\u00fcr\u00fcm\u00fcn ger\u00e7ek kullan\u0131c\u0131 trafi\u011fi alt\u0131nda nas\u0131l performans g\u00f6sterdi\u011fini g\u00f6zlemleme imkan\u0131.<\/li>\n<li><strong>S\u0131f\u0131r Risk:<\/strong> Yeni s\u00fcr\u00fcmde bir hata olsa bile, kullan\u0131c\u0131lar etkilenmez \u00e7\u00fcnk\u00fc yan\u0131tlar\u0131 onlara d\u00f6nmez.<\/li>\n<li><strong>Performans Regresyonlar\u0131n\u0131 Tespit:<\/strong> Eski ve yeni s\u00fcr\u00fcm\u00fcn performans\u0131n\u0131 do\u011frudan kar\u015f\u0131la\u015ft\u0131rma.<\/li>\n<\/ul>\n<p><strong>Riskleri:<\/strong><\/p>\n<ul>\n<li><strong>Altyap\u0131 Maliyeti:<\/strong> Ek bir ortam ve trafik kopyalama mekanizmas\u0131 gerektirir.<\/li>\n<li><strong>Veritaban\u0131 Etkile\u015fimi:<\/strong> Yeni s\u00fcr\u00fcm\u00fcn veritaban\u0131na yazma i\u015flemleri yapmas\u0131 durumunda dikkatli olunmal\u0131d\u0131r, \u00e7\u00fcnk\u00fc bu ger\u00e7ek veriyi etkileyebilir. Genellikle salt okunur modda veya sahte veritabanlar\u0131yla kullan\u0131l\u0131r.<\/li>\n<li><strong>Karma\u015f\u0131k Kurulum:<\/strong> Trafik kopyalama ve sonu\u00e7lar\u0131 analiz etme mekanizmalar\u0131 karma\u015f\u0131k olabilir.<\/li>\n<\/ul>\n<h2>A\/B Testi ile Da\u011f\u0131t\u0131m (A\/B Testing Deployment)<\/h2>\n<h3>Kullan\u0131c\u0131 Deneyimi Odakl\u0131 Da\u011f\u0131t\u0131m<\/h3>\n<p>A\/B testi ile da\u011f\u0131t\u0131m, Kanarya da\u011f\u0131t\u0131m\u0131na benzer ancak amac\u0131 farkl\u0131d\u0131r. Kanarya da\u011f\u0131t\u0131m\u0131nda ama\u00e7, yeni s\u00fcr\u00fcmdeki hatalar\u0131 bulmakken, A\/B testinde ama\u00e7, farkl\u0131 \u00f6zelliklerin veya aray\u00fcz tasar\u0131mlar\u0131n\u0131n kullan\u0131c\u0131 davran\u0131\u015f\u0131 \u00fczerindeki etkisini \u00f6l\u00e7mektir. Kullan\u0131c\u0131lar\u0131n bir k\u0131sm\u0131 'A' versiyonunu (eski veya farkl\u0131 bir \u00f6zellik seti), di\u011fer k\u0131sm\u0131 ise 'B' versiyonunu (yeni veya farkl\u0131 bir \u00f6zellik seti) deneyimler. Toplanan verilerle hangi versiyonun daha ba\u015far\u0131l\u0131 oldu\u011fu belirlenir.<\/p>\n<p><strong>G\u00f6rselle\u015ftirme:<\/strong><\/p>\n<pre><code class=\"language-text\">\n       +-----------------+\n       |   Y\u00fck Dengeleyici   |\n       +--------+--------+\n                |\n       +--------+--------+\n       |                  |\n       V                  V\n+------------+       +------------+\n|  Versiyon A  |       |  Versiyon B  |\n| (Kullan\u0131c\u0131 Grubu 1) |   | (Kullan\u0131c\u0131 Grubu 2) |\n+------------+       +------------+\n\n       Kullan\u0131c\u0131lar belirli kriterlere g\u00f6re A veya B versiyonuna y\u00f6nlendirilir.\n       Her iki versiyonun performans\u0131 ve kullan\u0131c\u0131 etkile\u015fimi izlenir.\n<\/pre>\n<p><\/code><\/p>\n<h3>Veriye Dayal\u0131 Kararlar ve Pazarlama Entegrasyonu<\/h3>\n<p>Bu strateji, \u00fcr\u00fcn y\u00f6netimi ve pazarlama ekipleriyle yak\u0131n i\u015fbirli\u011fi i\u00e7inde \u00e7al\u0131\u015f\u0131r. D\u00f6n\u00fc\u015f\u00fcm oranlar\u0131, t\u0131klama oranlar\u0131, oturum s\u00fcresi gibi metrikler toplanarak hangi versiyonun i\u015f hedeflerine daha iyi hizmet etti\u011fi belirlenir. A\/B testi ba\u015far\u0131l\u0131 oldu\u011funda, kazanan versiyon t\u00fcm kullan\u0131c\u0131lara yayg\u0131nla\u015ft\u0131r\u0131l\u0131r.<\/p>\n<p><strong>Avantajlar\u0131:<\/strong><\/p>\n<ul>\n<li><strong>Veriye Dayal\u0131 Kararlar:<\/strong> \u00d6zelliklerin veya tasar\u0131mlar\u0131n ger\u00e7ek kullan\u0131c\u0131lar \u00fczerindeki etkisini bilimsel olarak \u00f6l\u00e7er.<\/li>\n<li><strong>Optimize Edilmi\u015f Kullan\u0131c\u0131 Deneyimi:<\/strong> En iyi performans\u0131 g\u00f6steren versiyonu belirleyerek \u00fcr\u00fcn kalitesini art\u0131r\u0131r.<\/li>\n<li><strong>Risk Azaltma:<\/strong> B\u00fcy\u00fck \u00e7apl\u0131 de\u011fi\u015fikliklerin olumsuz etkilerini \u00f6nceden tespit eder.<\/li>\n<\/ul>\n<p><strong>Dezavantajlar\u0131:<\/strong><\/p>\n<ul>\n<li><strong>Karma\u015f\u0131k Analiz:<\/strong> \u0130statistiksel analiz ve veri toplama altyap\u0131s\u0131 gerektirir.<\/li>\n<li><strong>Uzun S\u00fcre\u00e7:<\/strong> Anlaml\u0131 sonu\u00e7lar elde etmek i\u00e7in yeterli veri toplanmas\u0131 zaman alabilir.<\/li>\n<li><strong>Kullan\u0131c\u0131 Deneyimi Tutars\u0131zl\u0131\u011f\u0131:<\/strong> Ayn\u0131 anda farkl\u0131 \u00f6zellikler g\u00f6ren kullan\u0131c\u0131lar aras\u0131nda kafa kar\u0131\u015f\u0131kl\u0131\u011f\u0131na neden olabilir.<\/li>\n<\/ul>\n<h2>Da\u011f\u0131t\u0131m Stratejisi Se\u00e7imi ve En \u0130yi Uygulamalar<\/h2>\n<h3>Do\u011fru Stratejiyi Belirleme Kriterleri<\/h3>\n<p>Hangi da\u011f\u0131t\u0131m stratejisinin projeniz i\u00e7in en uygun oldu\u011funa karar verirken a\u015fa\u011f\u0131daki fakt\u00f6rleri g\u00f6z \u00f6n\u00fcnde bulundurmal\u0131s\u0131n\u0131z:<\/p>\n<ul>\n<li><strong>Uygulaman\u0131n Kritikli\u011fi:<\/strong> Kesinti s\u00fcresinin kabul edilebilirli\u011fi ne kadar d\u00fc\u015f\u00fck?<\/li>\n<li><strong>Risk Tolerans\u0131:<\/strong> Yeni s\u00fcr\u00fcmdeki bir hatan\u0131n olas\u0131 etkisi ne kadar b\u00fcy\u00fck?<\/li>\n<li><strong>Altyap\u0131 Maliyeti:<\/strong> Ek ortamlar veya karma\u015f\u0131k y\u00f6nlendirme mekanizmalar\u0131 i\u00e7in b\u00fct\u00e7eniz var m\u0131?<\/li>\n<li><strong>Geri Alma \u0130htiyac\u0131:<\/strong> Sorun durumunda ne kadar h\u0131zl\u0131 geri d\u00f6nebilmelisiniz?<\/li>\n<li><strong>Ekip Yetkinli\u011fi:<\/strong> Ekibiniz karma\u015f\u0131k da\u011f\u0131t\u0131m s\u00fcre\u00e7lerini y\u00f6netmeye haz\u0131r m\u0131?<\/li>\n<li><strong>Veritaban\u0131 De\u011fi\u015fiklikleri:<\/strong> Veritaban\u0131 \u015fema de\u011fi\u015fiklikleri da\u011f\u0131t\u0131m s\u00fcrecini nas\u0131l etkiliyor?<\/li>\n<\/ul>\n<p>A\u015fa\u011f\u0131daki tablo, farkl\u0131 stratejilerin temel \u00f6zelliklerini \u00f6zetlemektedir:<\/p>\n<table border=\"1\">\n<thead>\n<tr>\n<th>Strateji<\/th>\n<th>Kesinti S\u00fcresi<\/th>\n<th>Risk D\u00fczeyi<\/th>\n<th>Geri Alma Kolayl\u0131\u011f\u0131<\/th>\n<th>Altyap\u0131 Maliyeti<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Big Bang<\/td>\n<td>Y\u00fcksek<\/td>\n<td>Y\u00fcksek<\/td>\n<td>Zor<\/td>\n<td>D\u00fc\u015f\u00fck<\/td>\n<\/tr>\n<tr>\n<td>Mavi\/Ye\u015fil<\/td>\n<td>S\u0131f\u0131r<\/td>\n<td>D\u00fc\u015f\u00fck<\/td>\n<td>\u00c7ok Kolay<\/td>\n<td>Y\u00fcksek<\/td>\n<\/tr>\n<tr>\n<td>Kanarya<\/td>\n<td>D\u00fc\u015f\u00fck (k\u0131smi)<\/td>\n<td>\u00c7ok D\u00fc\u015f\u00fck<\/td>\n<td>Kolay<\/td>\n<td>Orta<\/td>\n<\/tr>\n<tr>\n<td>Yuvarlanan<\/td>\n<td>S\u0131f\u0131r (kademeli)<\/td>\n<td>Orta<\/td>\n<td>Orta<\/td>\n<td>D\u00fc\u015f\u00fck-Orta<\/td>\n<\/tr>\n<tr>\n<td>G\u00f6lge<\/td>\n<td>S\u0131f\u0131r<\/td>\n<td>S\u0131f\u0131r (kullan\u0131c\u0131ya etki)<\/td>\n<td>\u00c7ok Kolay<\/td>\n<td>Y\u00fcksek<\/td>\n<\/tr>\n<tr>\n<td>A\/B Testi<\/td>\n<td>S\u0131f\u0131r<\/td>\n<td>D\u00fc\u015f\u00fck<\/td>\n<td>Kolay<\/td>\n<td>Orta-Y\u00fcksek<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Otomasyonun Rol\u00fc ve \u0130zleme Mekanizmalar\u0131<\/h3>\n<p>Modern da\u011f\u0131t\u0131m stratejilerinin ba\u015far\u0131s\u0131 b\u00fcy\u00fck \u00f6l\u00e7\u00fcde otomasyona ba\u011fl\u0131d\u0131r. CI\/CD boru hatlar\u0131 (pipelines), da\u011f\u0131t\u0131m ad\u0131mlar\u0131n\u0131 otomatikle\u015ftirerek insan hatas\u0131n\u0131 azalt\u0131r, h\u0131z\u0131 art\u0131r\u0131r ve tutarl\u0131l\u0131k sa\u011flar. Ayr\u0131ca, da\u011f\u0131t\u0131m sonras\u0131 izleme (monitoring) ve uyar\u0131 (alerting) sistemleri, yeni s\u00fcr\u00fcm\u00fcn performans\u0131n\u0131 ve istikrar\u0131n\u0131 s\u00fcrekli takip ederek olas\u0131 sorunlar\u0131 an\u0131nda tespit etmeyi ve h\u0131zl\u0131 geri alma kararlar\u0131 almay\u0131 m\u00fcmk\u00fcn k\u0131lar.<\/p>\n<h2>Sonu\u00e7<\/h2>\n<p>Yaz\u0131l\u0131m da\u011f\u0131t\u0131m stratejileri, modern yaz\u0131l\u0131m geli\u015ftirmenin temel ta\u015flar\u0131ndan biridir. Geleneksel \"Big Bang\" yakla\u015f\u0131mlar\u0131ndan, Mavi\/Ye\u015fil, Kanarya, Yuvarlanan, G\u00f6lge ve A\/B Testi gibi daha sofistike y\u00f6ntemlere ge\u00e7i\u015f, uygulamalar\u0131n daha g\u00fcvenli, daha h\u0131zl\u0131 ve daha esnek bir \u015fekilde kullan\u0131c\u0131lara ula\u015ft\u0131r\u0131lmas\u0131n\u0131 sa\u011flam\u0131\u015ft\u0131r. Her stratejinin kendine \u00f6zg\u00fc avantajlar\u0131, dezavantajlar\u0131 ve uygulama senaryolar\u0131 bulunmaktad\u0131r. Projenizin ihtiya\u00e7lar\u0131na, risk tolerans\u0131na ve altyap\u0131 k\u0131s\u0131tlamalar\u0131na uygun stratejiyi se\u00e7mek, ba\u015far\u0131l\u0131 bir yaz\u0131l\u0131m ya\u015fam d\u00f6ng\u00fcs\u00fc i\u00e7in kritik \u00f6neme sahiptir. Otomasyon, s\u00fcrekli izleme ve do\u011fru ara\u00e7lar\u0131n kullan\u0131m\u0131yla bu stratejiler, geli\u015ftirme ekiplerinin yaz\u0131l\u0131mlar\u0131n\u0131 g\u00fcvenle ve verimli bir \u015fekilde yay\u0131na almalar\u0131na olanak tan\u0131r.<\/p>\n<h2>SSS (S\u0131k Sorulan Sorular)<\/h2>\n<h3>Da\u011f\u0131t\u0131m stratejisi neden \u00f6nemlidir?<\/h3>\n<p>Do\u011fru da\u011f\u0131t\u0131m stratejisi, yaz\u0131l\u0131m\u0131n\u0131z\u0131n kesintisiz bir \u015fekilde \u00e7al\u0131\u015fmas\u0131n\u0131, yeni \u00f6zelliklerin h\u0131zl\u0131ca kullan\u0131c\u0131lara ula\u015fmas\u0131n\u0131, hatalar\u0131n etkisinin minimize edilmesini ve genel sistem istikrar\u0131n\u0131n korunmas\u0131n\u0131 sa\u011flar. Yanl\u0131\u015f bir strateji ise ciddi kesintilere ve i\u015f kay\u0131plar\u0131na yol a\u00e7abilir.<\/p>\n<h3>Mavi\/Ye\u015fil ile Kanarya aras\u0131ndaki temel fark nedir?<\/h3>\n<p>Mavi\/Ye\u015fil da\u011f\u0131t\u0131m, iki \u00f6zde\u015f ortam aras\u0131nda an\u0131nda ge\u00e7i\u015f yaparak s\u0131f\u0131r kesinti hedefler ve bir sorun durumunda kolay geri alma imkan\u0131 sunar. Kanarya da\u011f\u0131t\u0131m\u0131 ise yeni s\u00fcr\u00fcm\u00fc k\u00fc\u00e7\u00fck bir kullan\u0131c\u0131 grubuna a\u015famal\u0131 olarak sunarak riskleri minimize eder ve ger\u00e7ek kullan\u0131c\u0131 geri bildirimleriyle sorunlar\u0131 erken tespit etmeyi ama\u00e7lar.<\/p>\n<h3>Hangi strateji benim i\u00e7in en uygun?<\/h3>\n<p>En uygun strateji, uygulaman\u0131z\u0131n kritikli\u011fi, risk tolerans\u0131n\u0131z, b\u00fct\u00e7eniz ve ekip yetkinli\u011finiz gibi fakt\u00f6rlere ba\u011fl\u0131d\u0131r. Y\u00fcksek kullan\u0131labilirlik gerektiren uygulamalar i\u00e7in Mavi\/Ye\u015fil veya Yuvarlanan da\u011f\u0131t\u0131m, riskleri minimize etmek ve yeni \u00f6zellikleri test etmek i\u00e7in Kanarya veya A\/B testi, performans testi i\u00e7in ise G\u00f6lge da\u011f\u0131t\u0131m\u0131 d\u00fc\u015f\u00fcn\u00fclebilir.<\/p>\n<h3>Da\u011f\u0131t\u0131m s\u00fcre\u00e7lerinde otomasyon ne kadar kritik?<\/h3>\n<p>Otomasyon, modern da\u011f\u0131t\u0131m stratejilerinin vazge\u00e7ilmez bir par\u00e7as\u0131d\u0131r. CI\/CD boru hatlar\u0131 arac\u0131l\u0131\u011f\u0131yla da\u011f\u0131t\u0131m ad\u0131mlar\u0131n\u0131n otomatikle\u015ftirilmesi, insan hatas\u0131n\u0131 azalt\u0131r, da\u011f\u0131t\u0131m h\u0131z\u0131n\u0131 art\u0131r\u0131r, tutarl\u0131l\u0131k sa\u011flar ve ekiplerin daha s\u0131k ve g\u00fcvenli da\u011f\u0131t\u0131m yapmas\u0131na olanak tan\u0131r.<\/p>\n","protected":false},"excerpt":{"rendered":"Modern yaz\u0131l\u0131m geli\u015ftirme s\u00fcre\u00e7lerinde, geli\u015ftirilen uygulamalar\u0131n son kullan\u0131c\u0131lara g\u00fcvenli, h\u0131zl\u0131 ve kesintisiz bir \u015fekilde ula\u015ft\u0131r\u0131lmas\u0131 &#8230;","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-36544","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.5 (Yoast SEO v25.3.1) - 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