{"id":31084,"date":"2025-10-05T14:01:45","date_gmt":"2025-10-05T11:01:45","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/buyuk-bolunme-monolitlerden-mikroservislere-gecisin-teknik-sirlari\/"},"modified":"2025-10-05T14:01:45","modified_gmt":"2025-10-05T11:01:45","slug":"buyuk-bolunme-monolitlerden-mikroservislere-gecisin-teknik-sirlari","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/buyuk-bolunme-monolitlerden-mikroservislere-gecisin-teknik-sirlari\/","title":{"rendered":"B\u00fcy\u00fck B\u00f6l\u00fcnme: Monolitlerden Mikroservislere Ge\u00e7i\u015fin Teknik S\u0131rlar\u0131"},"content":{"rendered":"<style>\n    body {\n        font-family: Arial, sans-serif;\n        line-height: 1.6;\n        color: #333;\n        margin: 0 auto;\n        padding: 20px;\n        max-width: 900px;\n    }\n    h2, h3 {\n        color: #2c3e50;\n        margin-top: 30px;\n        margin-bottom: 15px;\n    }\n    h2 {\n        border-bottom: 2px solid #3498db;\n        padding-bottom: 5px;\n    }\n    h3 {\n        color: #3498db;\n    }\n    p {\n        margin-bottom: 15px;\n    }\n    ul, ol {\n        margin-bottom: 15px;\n        padding-left: 20px;\n    }\n    li {\n        margin-bottom: 5px;\n    }\n    pre {\n        background-color: #ecf0f1;\n        border: 1px solid #ddd;\n        padding: 15px;\n        border-radius: 5px;\n        overflow-x: auto;\n        margin-bottom: 20px;\n    }\n    code {\n        font-family: \"Courier New\", Courier, monospace;\n        color: #c0392b;\n    }\n    pre code {\n        color: #2c3e50;\n    }\n    table {\n        width: 100%;\n        border-collapse: collapse;\n        margin-bottom: 20px;\n    }\n    th, td {\n        border: 1px solid #ddd;\n        padding: 10px;\n        text-align: left;\n    }\n    th {\n        background-color: #f2f2f2;\n        font-weight: bold;\n    }\n    .uzman-ipucu {\n        background-color: #e8f5e9;\n        border-left: 5px solid #4CAF50;\n        padding: 15px;\n        margin: 20px 0;\n        font-style: italic;\n        color: #388e3c;\n    }<\/p>\n<p>    \/* Mobil uyumluluk i\u00e7in medya sorgular\u0131 *\/\n    @media (max-width: 768px) {\n        body {\n            padding: 10px;\n        }\n        h2 {\n            font-size: 1.5em;\n        }\n        h3 {\n            font-size: 1.2em;\n        }\n        pre {\n            white-space: pre-wrap; \/* Uzun kod sat\u0131rlar\u0131n\u0131 sarar *\/\n            word-wrap: break-word;\n        }\n        table, thead, tbody, th, td, tr {\n            display: block; \/* Tablo elemanlar\u0131n\u0131 blok olarak g\u00f6ster *\/\n        }\n        thead tr {\n            position: absolute;\n            top: -9999px;\n            left: -9999px;\n        }\n        tr {\n            border: 1px solid #ccc;\n            margin-bottom: 10px;\n        }\n        td {\n            border: none;\n            border-bottom: 1px solid #eee;\n            position: relative;\n            padding-left: 50%;\n            text-align: right;\n        }\n        td:before {\n            position: absolute;\n            top: 6px;\n            left: 6px;\n            width: 45%;\n            padding-right: 10px;\n            white-space: nowrap;\n            text-align: left;\n            font-weight: bold;\n        }\n        \/* Her s\u00fctun i\u00e7in ba\u015fl\u0131k ekleyin (\u00f6rnek) *\/\n        td:nth-of-type(1):before { content: \"\u00d6zellik:\"; }\n        td:nth-of-type(2):before { content: \"Monolit:\"; }\n        td:nth-of-type(3):before { content: \"Mikroservis:\"; }\n    }\n<\/style>\n<p>G\u00fcn\u00fcm\u00fcz\u00fcn h\u0131zla de\u011fi\u015fen dijital d\u00fcnyas\u0131nda, yaz\u0131l\u0131m sistemleri s\u00fcrekli olarak daha b\u00fcy\u00fck, daha karma\u015f\u0131k ve daha \u00f6l\u00e7eklenebilir olma ihtiyac\u0131yla kar\u015f\u0131 kar\u015f\u0131ya kal\u0131yor. Bu dinamik ortamda, ekipler ve mimarlar genellikle kritik bir yol ayr\u0131m\u0131na gelirler: Geleneksel monolitik yap\u0131larla devam etmek mi, yoksa modern mikroservis mimarisine ge\u00e7i\u015f yapmak m\u0131? \u0130\u015fte bu se\u00e7im, teknoloji d\u00fcnyas\u0131ndaki <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong> olarak adland\u0131r\u0131labilir ve bu makale, bu derin mimari ge\u00e7i\u015fin ard\u0131ndaki s\u0131rlar\u0131 ayd\u0131nlatmay\u0131 ama\u00e7l\u0131yor.<\/p>\n<p>Asl\u0131nda, <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong> terimi, yaz\u0131l\u0131m mimarisindeki radikal bir de\u011fi\u015fimi ifade eder: Geleneksel, tek par\u00e7a monolitik uygulamalardan, k\u00fc\u00e7\u00fck, ba\u011f\u0131ms\u0131z ve birbirleriyle ileti\u015fim kuran mikroservisler a\u011f\u0131na ge\u00e7i\u015f. Bu kavram, sadece bir teknoloji trendi olman\u0131n \u00f6tesinde, yaz\u0131l\u0131m geli\u015ftirme s\u00fcre\u00e7lerini, operasyonel yakla\u015f\u0131mlar\u0131 ve hatta organizasyonel yap\u0131lar\u0131 temelden etkileyen bir paradigma kaymas\u0131n\u0131 temsil eder. Pek \u00e7ok firma, \u00f6l\u00e7eklenebilirlik, esneklik ve h\u0131zl\u0131 da\u011f\u0131t\u0131m gibi ihtiya\u00e7lar do\u011frultusunda bu d\u00f6n\u00fc\u015f\u00fcm\u00fcn e\u015fi\u011finde duruyor.<\/p>\n<p>Monolitik mimaride, t\u00fcm uygulama tek bir kod taban\u0131nda, tek bir s\u00fcre\u00e7te \u00e7al\u0131\u015f\u0131r ve genellikle tek bir veri taban\u0131n\u0131 kullan\u0131r. Bu yap\u0131, ba\u015flang\u0131\u00e7ta k\u00fc\u00e7\u00fck projeler i\u00e7in geli\u015ftirme kolayl\u0131\u011f\u0131 sunar. H\u0131zl\u0131 ba\u015flang\u0131\u00e7, basit da\u011f\u0131t\u0131m ve kolay hata ay\u0131klama gibi avantajlar\u0131 vard\u0131r. \u00d6rne\u011fin, yeni bir e-ticaret sitesi kurdu\u011funuzu d\u00fc\u015f\u00fcn\u00fcn. Ba\u015flang\u0131\u00e7ta kullan\u0131c\u0131 y\u00f6netimi, \u00fcr\u00fcn katalogu, sepet ve \u00f6deme gibi t\u00fcm \u00f6zellikler tek bir b\u00fcy\u00fck uygulamada toplanabilir. Bu, ilk a\u015famada kaynaklar\u0131 verimli kullanman\u0131z\u0131 ve \u00fcr\u00fcn\u00fcn\u00fcz\u00fc pazara h\u0131zl\u0131ca sunman\u0131z\u0131 sa\u011flar. Ancak zamanla i\u015flevler artt\u0131k\u00e7a ve ekip b\u00fcy\u00fcd\u00fck\u00e7e, bu yap\u0131 bir &#8220;b\u00fcy\u00fck top \u00e7amur&#8221; haline d\u00f6n\u00fc\u015febilir. Bir mod\u00fcldeki k\u00fc\u00e7\u00fck bir de\u011fi\u015fiklik bile t\u00fcm uygulaman\u0131n yeniden derlenip da\u011f\u0131t\u0131lmas\u0131n\u0131 gerektirebilir, bu da geli\u015ftirme h\u0131z\u0131n\u0131 ve esnekli\u011fi olumsuz etkiler.<\/p>\n<p>\u00d6te yandan, mikroservis mimarisi, bir uygulaman\u0131n ba\u011f\u0131ms\u0131z olarak geli\u015ftirilebilen, konu\u015fland\u0131r\u0131labilen ve \u00f6l\u00e7eklenebilen k\u00fc\u00e7\u00fck hizmetler koleksiyonu olarak tasarlanmas\u0131n\u0131 i\u00e7erir. Her servis, belirli bir i\u015f alan\u0131na odaklan\u0131r ve kendi veri taban\u0131na sahip olabilir. Bu, ekiplerin daha \u00f6zerk \u00e7al\u0131\u015fmas\u0131na, farkl\u0131 teknolojiler kullanmas\u0131na ve hizmetleri birbirinden ba\u011f\u0131ms\u0131z olarak g\u00fcncellemesine olanak tan\u0131r. Bir e-ticaret \u00f6rne\u011finden devam edersek, kullan\u0131c\u0131 y\u00f6netimi bir servis, \u00fcr\u00fcn katalogu ba\u015fka bir servis, \u00f6deme ise tamamen farkl\u0131 bir servis olabilir. Bu servisler, genellikle RESTful API&#8217;ler veya mesaj kuyruklar\u0131 arac\u0131l\u0131\u011f\u0131yla ileti\u015fim kurarlar. B\u00f6ylece, \u00f6rne\u011fin, \u00fcr\u00fcn katalogu servisinde bir hata oldu\u011funda, bu durum di\u011fer servisleri do\u011frudan etkilemez ve sadece ilgili servisin yeniden da\u011f\u0131t\u0131lmas\u0131 yeterli olur. Bu ayr\u0131m, sistemin genel dayan\u0131kl\u0131l\u0131\u011f\u0131n\u0131 ve h\u0131z\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131r\u0131r. Bu <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong>, asl\u0131nda yaz\u0131l\u0131m sistemlerinin evrimindeki do\u011fal bir ad\u0131md\u0131r ve modern bulut bili\u015fim, DevOps ve \u00e7evik geli\u015ftirme metodolojileriyle yak\u0131ndan ili\u015fkilidir.<\/p>\n<h3>Monolitler ve Mikroservisler: Avantajlar ve Dezavantajlar Nelerdir?<\/h3>\n<p>Her mimari yakla\u015f\u0131m\u0131n kendine \u00f6zg\u00fc g\u00fc\u00e7l\u00fc ve zay\u0131f y\u00f6nleri bulunur. Bu <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong> karar\u0131n\u0131 verirken, organizasyonunuzun \u00f6zel ihtiya\u00e7lar\u0131n\u0131 ve kaynaklar\u0131n\u0131 g\u00f6z \u00f6n\u00fcnde bulundurmak \u00e7ok \u00f6nemlidir. \u0130\u015fte bu iki yakla\u015f\u0131m\u0131n temel kar\u015f\u0131la\u015ft\u0131rmas\u0131:<\/p>\n<table>\n<thead>\n<tr>\n<th>\u00d6zellik<\/th>\n<th>Monolitik Mimari<\/th>\n<th>Mikroservis Mimari<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Geli\u015ftirme H\u0131z\u0131 (Ba\u015flang\u0131\u00e7)<\/strong><\/td>\n<td>\u00c7ok h\u0131zl\u0131<\/td>\n<td>Daha yava\u015f (ilk kurulum maliyeti)<\/td>\n<\/tr>\n<tr>\n<td><strong>\u00d6l\u00e7eklenebilirlik<\/strong><\/td>\n<td>Zor (t\u00fcm uygulama \u00f6l\u00e7eklenir)<\/td>\n<td>Kolay (ba\u011f\u0131ms\u0131z servisler \u00f6l\u00e7eklenir)<\/td>\n<\/tr>\n<tr>\n<td><strong>Teknoloji Esnekli\u011fi<\/strong><\/td>\n<td>D\u00fc\u015f\u00fck (genellikle tek teknoloji y\u0131\u011f\u0131n\u0131)<\/td>\n<td>Y\u00fcksek (her servis farkl\u0131 teknoloji kullanabilir)<\/td>\n<\/tr>\n<tr>\n<td><strong>Da\u011f\u0131t\u0131m<\/strong><\/td>\n<td>Tek par\u00e7a olarak da\u011f\u0131t\u0131l\u0131r (uzun s\u00fcrebilir)<\/td>\n<td>Ba\u011f\u0131ms\u0131z da\u011f\u0131t\u0131m (h\u0131zl\u0131 ve s\u0131k)<\/td>\n<\/tr>\n<tr>\n<td><strong>Hata \u0130zolasyonu<\/strong><\/td>\n<td>D\u00fc\u015f\u00fck (bir hata t\u00fcm sistemi etkileyebilir)<\/td>\n<td>Y\u00fcksek (hatalar tek bir servisle s\u0131n\u0131rl\u0131 kal\u0131r)<\/td>\n<\/tr>\n<tr>\n<td><strong>Ekip Y\u00f6netimi<\/strong><\/td>\n<td>B\u00fcy\u00fck ekiplerde karma\u015f\u0131kla\u015f\u0131r<\/td>\n<td>K\u00fc\u00e7\u00fck, otonom ekipler i\u00e7in ideal<\/td>\n<\/tr>\n<tr>\n<td><strong>Karma\u015f\u0131kl\u0131k<\/strong><\/td>\n<td>Kod taban\u0131 b\u00fcy\u00fcd\u00fck\u00e7e artar<\/td>\n<td>Operasyonel karma\u015f\u0131kl\u0131k artar (a\u011f, izleme, da\u011f\u0131t\u0131m)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Mikroservislerin vaat etti\u011fi h\u0131z, esneklik ve \u00f6l\u00e7eklenebilirlik, \u00f6zellikle b\u00fcy\u00fck ve dinamik organizasyonlar i\u00e7in olduk\u00e7a \u00e7ekici gelebilir. Ancak bu mimarinin getirdi\u011fi operasyonel karma\u015f\u0131kl\u0131\u011f\u0131, da\u011f\u0131t\u0131lm\u0131\u015f sistemlerin getirdi\u011fi sorunlar\u0131 (a\u011f gecikmeleri, veri tutarl\u0131l\u0131\u011f\u0131, hizmet ke\u015ffi vb.) ve ba\u015flang\u0131\u00e7taki y\u00fcksek kurulum maliyetlerini g\u00f6z ard\u0131 etmemek gerekir. Bu nedenle, <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong> karar\u0131 al\u0131n\u0131rken, organizasyonun mevcut b\u00fcy\u00fckl\u00fc\u011f\u00fc, geli\u015fim h\u0131z\u0131, ekip yap\u0131s\u0131 ve teknoloji k\u00fclt\u00fcr\u00fcn\u00fcn detayl\u0131 bir \u015fekilde de\u011ferlendirilmesi \u015fartt\u0131r. K\u00fc\u00e7\u00fck ve orta \u00f6l\u00e7ekli projelerde monolitik yap\u0131n\u0131n hala \u00e7ok mant\u0131kl\u0131 olabilece\u011fini unutmamak \u00f6nemlidir.<\/p>\n<h2>B\u00fcy\u00fck B\u00f6l\u00fcnmeyi Nas\u0131l A\u015fabiliriz: Ge\u00e7i\u015f Stratejileri ve Ad\u0131mlar<\/h2>\n<p>Monolitik bir uygulamadan mikroservis mimarisine ge\u00e7i\u015f yapmak, b\u00fcy\u00fck ve karma\u015f\u0131k bir s\u00fcre\u00e7 olabilir. Bu, sadece teknik bir d\u00f6n\u00fc\u015f\u00fcm de\u011fil, ayn\u0131 zamanda organizasyonel bir de\u011fi\u015fimi de gerektirir. <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong>yi a\u015fmak i\u00e7in benimsenen en pop\u00fcler ve etkili stratejilerden biri &#8220;Strangler Fig Pattern&#8221; (Bo\u011fucu \u0130ncir A\u011fac\u0131 Deseni)&#8217;dir. Bu desen, yeni mikroservislerin mevcut monolit etraf\u0131nda kademeli olarak in\u015fa edilmesini ve eski i\u015flevselli\u011fin yava\u015f yava\u015f yeni servislere ta\u015f\u0131nmas\u0131n\u0131 \u00f6ng\u00f6r\u00fcr.<\/p>\n<p>Strangler Fig Pattern, ad\u0131n\u0131, ana bilgisayar a\u011fac\u0131n\u0131n etraf\u0131nda b\u00fcy\u00fcyen ve zamanla onu bo\u011fan incir a\u011fac\u0131ndan al\u0131r. Yaz\u0131l\u0131mda ise, yeni i\u015flevsellik veya yeniden yaz\u0131lan mod\u00fcller, monolitik uygulaman\u0131n \u00fczerine in\u015fa edilir ve gelen istekler yava\u015f yava\u015f yeni servislere y\u00f6nlendirilir. Eski monolitik kod taban\u0131n\u0131n i\u015flevi azald\u0131k\u00e7a, sonunda tamamen ortadan kalkar. Bu yakla\u015f\u0131m, riski minimize eder \u00e7\u00fcnk\u00fc sistemin her an \u00e7al\u0131\u015f\u0131r durumda kalmas\u0131n\u0131 sa\u011flar ve b\u00fcy\u00fck, riskli bir &#8220;big bang&#8221; ge\u00e7i\u015finden ka\u00e7\u0131n\u0131r.<\/p>\n<p>Ge\u00e7i\u015f s\u00fcrecini ad\u0131m ad\u0131m y\u00f6netmek, ba\u015far\u0131l\u0131 bir d\u00f6n\u00fc\u015f\u00fcm i\u00e7in kritik \u00f6neme sahiptir:<\/p>\n<ol>\n<li><strong>Etki Alanlar\u0131n\u0131 Belirleyin:<\/strong> Monolit i\u00e7indeki i\u015flevsel alanlar\u0131 tan\u0131mlay\u0131n ve bunlar\u0131 potansiyel mikroservis s\u0131n\u0131rlar\u0131 olarak g\u00f6r\u00fcn. \u00d6rne\u011fin, bir e-ticaret uygulamas\u0131nda &#8220;Kullan\u0131c\u0131 Y\u00f6netimi&#8221;, &#8220;\u00dcr\u00fcn Katalo\u011fu&#8221;, &#8220;Sipari\u015f \u0130\u015fleme&#8221; gibi alanlar ayr\u0131labilir.<\/li>\n<li><strong>\u0130lk Mikroservisi Se\u00e7in:<\/strong> Genellikle ba\u011f\u0131ms\u0131z, kritik olmayan veya s\u0131k de\u011fi\u015fen bir mod\u00fcl se\u00e7mek iyi bir ba\u015flang\u0131\u00e7t\u0131r. Bu, ekiplerin mikroservis geli\u015ftirme ve operasyonel s\u00fcre\u00e7lerini \u00f6\u011frenmesi i\u00e7in bir f\u0131rsat sunar.<\/li>\n<li><strong>API Gateway Olu\u015fturun:<\/strong> Gelen t\u00fcm istekleri y\u00f6neten bir API Gateway, yeni mikroservislere y\u00f6nlendirme ve eski monolite geri y\u00f6nlendirme i\u00e7in merkezi bir nokta sa\u011flar. Bu, istemci uygulamalar\u0131n\u0131n bu <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong> s\u00fcrecinden habersiz kalmas\u0131n\u0131 sa\u011flar.<\/li>\n<li><strong>Mevcut Kod Taban\u0131n\u0131 S\u0131k\u0131\u015ft\u0131r\u0131n:<\/strong> Se\u00e7ilen mod\u00fcl\u00fcn monolit i\u00e7indeki kodunu izole edin ve ayr\u0131 bir servise d\u00f6n\u00fc\u015ft\u00fcr\u00fcn. Bu a\u015famada, veri taban\u0131 eri\u015fimlerinin ve di\u011fer ba\u011f\u0131ml\u0131l\u0131klar\u0131n dikkatlice ele al\u0131nmas\u0131 gerekir.<\/li>\n<li><strong>Tekrarlay\u0131n ve Geni\u015fletin:<\/strong> Bir sonraki mod\u00fcl\u00fc se\u00e7in ve s\u00fcreci tekrarlay\u0131n. Her ba\u015far\u0131l\u0131 ge\u00e7i\u015f, ekibin deneyimini art\u0131r\u0131r ve bir sonraki ge\u00e7i\u015fi kolayla\u015ft\u0131r\u0131r.<\/li>\n<\/ol>\n<p>Bu s\u00fcre\u00e7 boyunca, otomasyonun rol\u00fc paha bi\u00e7ilmezdir. CI\/CD (S\u00fcrekli Entegrasyon\/S\u00fcrekli Da\u011f\u0131t\u0131m) boru hatlar\u0131, her servisin h\u0131zl\u0131 ve g\u00fcvenilir bir \u015fekilde test edilmesini ve da\u011f\u0131t\u0131lmas\u0131n\u0131 sa\u011flar. Konteynerizasyon teknolojileri (Docker gibi) ve konteyner orkestrasyon ara\u00e7lar\u0131 (Kubernetes gibi), mikroservislerin y\u00f6netimi ve \u00f6l\u00e7eklenmesi i\u00e7in vazge\u00e7ilmezdir.<\/p>\n<div class=\"uzman-ipucu\">\n    Uzman \u0130pucu: Mikroservis ge\u00e7i\u015flerinde &#8220;API First&#8221; yakla\u015f\u0131m\u0131n\u0131 benimseyin. Her servisi bir API arac\u0131l\u0131\u011f\u0131yla d\u0131\u015f d\u00fcnyaya a\u00e7\u0131n ve i\u00e7 implementasyon detaylar\u0131n\u0131 gizli tutun. Bu, servisler aras\u0131 ba\u011f\u0131ml\u0131l\u0131\u011f\u0131 azalt\u0131r ve gelecekteki de\u011fi\u015fiklikleri kolayla\u015ft\u0131r\u0131r.\n<\/div>\n<h2>Kodlarla Mikroservis Ge\u00e7i\u015fi Nas\u0131l Yap\u0131l\u0131r: Basit Bir \u00d6rnek<\/h2>\n<p>\u015eimdi <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong> s\u00fcrecini daha somut hale getirmek i\u00e7in basit bir \u00f6rnekle devam edelim. Diyelim ki, monolitik bir e-ticaret uygulamam\u0131z var ve &#8220;\u00dcr\u00fcn Katalo\u011fu&#8221; mod\u00fcl\u00fcn\u00fc ayr\u0131 bir mikroservise d\u00f6n\u00fc\u015ft\u00fcrmek istiyoruz. Bu mod\u00fcl, \u00fcr\u00fcn bilgilerini getiriyor, g\u00fcncelliyor ve siliyor. \u0130lk ad\u0131m olarak, bu i\u015flevselli\u011fi monolitimizden ay\u0131r\u0131p ba\u011f\u0131ms\u0131z bir servis olarak konu\u015fland\u0131raca\u011f\u0131z.<\/p>\n<p>Ba\u015flang\u0131\u00e7ta monolitik yap\u0131m\u0131zda, \u00fcr\u00fcn i\u015flemleri \u015f\u00f6yle g\u00f6r\u00fcnebilir:<\/p>\n<pre><code>\n\/\/ Monolitik Uygulama \u0130\u00e7indeki \u00dcr\u00fcn Mod\u00fcl\u00fc (\u00d6rnek Python Kodu)\nclass ProductService:\n    def get_product(self, product_id):\n        # Veritaban\u0131ndan \u00fcr\u00fcn bilgilerini \u00e7ek\n        print(f\"Monolit: \u00dcr\u00fcn {product_id} \u00e7ekiliyor.\")\n        return {\"id\": product_id, \"name\": f\"\u00dcr\u00fcn {product_id}\", \"price\": 100.0}\n\n    def create_product(self, product_data):\n        # Veritaban\u0131na yeni \u00fcr\u00fcn ekle\n        print(f\"Monolit: Yeni \u00fcr\u00fcn {product_data['name']} olu\u015fturuldu.\")\n        return {\"id\": 123, **product_data}\n\n# Kullan\u0131m \u00f6rne\u011fi\n# app.route('\/products\/<int:product_id>')\n# def get_product_endpoint(product_id):\n#     return jsonify(ProductService().get_product(product_id))\n<\/pre>\n<p><\/code><\/p>\n<p>Bu kod blo\u011fu, bir monolit i\u00e7inde \u00fcr\u00fcn verilerini y\u00f6neten temel bir yap\u0131y\u0131 g\u00f6steriyor. \u015eimdi bu i\u015flevselli\u011fi ayr\u0131 bir mikroservise ta\u015f\u0131yaca\u011f\u0131z. \u00d6ncelikle, yeni bir Python (Flask veya FastAPI) veya Node.js (Express) uygulamas\u0131 olu\u015fturarak ba\u015flayabiliriz. \u0130\u015fte basit bir Flask tabanl\u0131 \u00fcr\u00fcn mikroservisi \u00f6rne\u011fi:<\/p>\n<pre><code>\n# product_microservice.py\nfrom flask import Flask, jsonify, request\n\napp = Flask(__name__)\n\n# Basit bir in-memory veritaban\u0131 sim\u00fclasyonu\nproducts_db = {\n    1: {\"id\": 1, \"name\": \"Laptop\", \"price\": 1200.0},\n    2: {\"id\": 2, \"name\": \"Mouse\", \"price\": 25.0}\n}\nnext_id = 3\n\n@app.route('\/products', methods=['GET'])\ndef get_all_products():\n    print(\"Mikroservis: T\u00fcm \u00fcr\u00fcnler \u00e7ekiliyor.\")\n    return jsonify(list(products_db.values()))\n\n@app.route('\/products\/<int:product_id>', methods=['GET'])\ndef get_product(product_id):\n    product = products_db.get(product_id)\n    if product:\n        print(f\"Mikroservis: \u00dcr\u00fcn {product_id} \u00e7ekiliyor.\")\n        return jsonify(product)\n    return jsonify({\"message\": \"\u00dcr\u00fcn bulunamad\u0131\"}), 404\n\n@app.route('\/products', methods=['POST'])\ndef create_product():\n    global next_id\n    data = request.json\n    if not data or 'name' not in data or 'price' not in data:\n        return jsonify({\"message\": \"Ge\u00e7ersiz \u00fcr\u00fcn verisi\"}), 400\n    \n    new_product = {\"id\": next_id, \"name\": data['name'], \"price\": data['price']}\n    products_db[next_id] = new_product\n    next_id += 1\n    print(f\"Mikroservis: Yeni \u00fcr\u00fcn {new_product['name']} olu\u015fturuldu.\")\n    return jsonify(new_product), 201\n\nif __name__ == '__main__':\n    app.run(port=5001, debug=True) # Farkl\u0131 bir portta \u00e7al\u0131\u015ft\u0131r\u0131n\n<\/pre>\n<p><\/code><\/p>\n<p>Bu mikroservis, 5001 portunda \u00e7al\u0131\u015facak ve kendi \u00fcr\u00fcn verilerini y\u00f6netecek. Monolitik uygulaman\u0131n art\u0131k bu i\u015flevselli\u011fi kendi i\u00e7inde bar\u0131nd\u0131rmas\u0131na gerek kalmayacak. Monolit, \u00fcr\u00fcn bilgilerine ihtiya\u00e7 duydu\u011funda bu mikroservisin API'sini \u00e7a\u011f\u0131racak. Bu \u00e7a\u011fr\u0131lar\u0131 y\u00f6netmek i\u00e7in bir API Gateway kullan\u0131labilir. \u00d6rne\u011fin, Nginx veya Apache API Gateway olarak yap\u0131land\u0131r\u0131labilir veya bir k\u00fct\u00fcphane (Ocelot, Spring Cloud Gateway) kullan\u0131labilir.<\/p>\n<pre><code>\n\/\/ API Gateway (Basit Ters Proxy Nginx Konfig\u00fcrasyonu \u00d6rne\u011fi)\n\/\/ Bu konfig\u00fcrasyon, 80 numaral\u0131 porta gelen istekleri\n\/\/ ilgili servislere y\u00f6nlendirir.\n\nserver {\n    listen 80;\n\n    location \/products {\n        proxy_pass http:\/\/localhost:5001; # \u00dcr\u00fcn mikroservisine y\u00f6nlendirme\n        proxy_set_header Host $host;\n        proxy_set_header X-Real-IP $remote_addr;\n    }\n\n    location \/users {\n        proxy_pass http:\/\/localhost:5002; # Kullan\u0131c\u0131 mikroservisine y\u00f6nlendirme (varsay\u0131msal)\n        proxy_set_header Host $host;\n        proxy_set_header X-Real-IP $remote_addr;\n    }\n\n    location \/ {\n        proxy_pass http:\/\/localhost:5000; # Monolite y\u00f6nlendirme (eski i\u015flevsellik)\n        proxy_set_header Host $host;\n        proxy_set_header X-Real-IP $remote_addr;\n    }\n}\n<\/pre>\n<p><\/code><\/p>\n<p>Bu Nginx konfig\u00fcrasyonu, gelen <code>\/products<\/code> isteklerini 5001 portundaki yeni \u00fcr\u00fcn mikroservisine y\u00f6nlendirirken, di\u011fer t\u00fcm istekleri (\u015fimdilik) 5000 portundaki monolite y\u00f6nlendiriyor. Bu strateji, monolitik bir uygulamadan bir mikroservis \u00e7\u0131karmak i\u00e7in <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong> s\u00fcrecinde at\u0131lan ilk ve en kritik ad\u0131mlardan biridir. Bu sayede, monolitik yap\u0131 yava\u015f yava\u015f k\u00fc\u00e7\u00fcl\u00fcrken, ba\u011f\u0131ms\u0131z mikroservisler i\u015flevsellik kazan\u0131r ve kendi ya\u015fam d\u00f6ng\u00fclerine sahip olurlar. Bu ad\u0131mlar\u0131n her biri, daha fazla otomasyon ve izleme ile desteklenmelidir.<\/p>\n<h2>Veri Y\u00f6netiminde B\u00fcy\u00fck B\u00f6l\u00fcnmeyi A\u015fmak: Da\u011f\u0131t\u0131k Veritabanlar\u0131 ve Tutarl\u0131l\u0131k<\/h2>\n<p>Monolitik bir uygulamadan mikroservis mimarisine ge\u00e7erken kar\u015f\u0131la\u015f\u0131lan en b\u00fcy\u00fck zorluklardan biri, veri y\u00f6netimidir. Geleneksel monolitler genellikle tek, merkezi bir veritaban\u0131n\u0131 kullan\u0131r ve t\u00fcm mod\u00fcller bu veritaban\u0131na eri\u015fir. Ancak <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong> sonras\u0131nda, mikroservisler kendi veri tabanlar\u0131na sahip olma e\u011filimindedir. Bu \"veritaban\u0131 ba\u015f\u0131na servis\" yakla\u015f\u0131m\u0131, servislerin ba\u011f\u0131ms\u0131zl\u0131\u011f\u0131n\u0131 art\u0131r\u0131r ancak veri tutarl\u0131l\u0131\u011f\u0131, da\u011f\u0131t\u0131lm\u0131\u015f i\u015flemler ve veri entegrasyonu gibi yeni zorluklar\u0131 beraberinde getirir.<\/p>\n<p>Her mikroservisin kendi veri depolama alan\u0131na sahip olmas\u0131, servisin tamamen ba\u011f\u0131ms\u0131z olmas\u0131n\u0131 sa\u011flar. Bu sayede bir servis, ba\u015fka bir servisin veritaban\u0131 \u015femas\u0131 de\u011fi\u015fikliklerinden etkilenmez ve kendi veritaban\u0131 teknolojisini se\u00e7ebilir (\u00f6rne\u011fin, bir servis MongoDB kullan\u0131rken di\u011feri PostgreSQL kullanabilir). Ancak bu ba\u011f\u0131ms\u0131zl\u0131k, servisler aras\u0131 veri payla\u015f\u0131m\u0131n\u0131 karma\u015f\u0131kla\u015ft\u0131r\u0131r. \u00d6rne\u011fin, bir \"Sipari\u015f\" mikroservisinin bir \"\u00dcr\u00fcn\" mikroservisinden \u00fcr\u00fcn fiyat\u0131na veya stok durumuna ihtiyac\u0131 oldu\u011funda nas\u0131l bir yol izlenmelidir?<\/p>\n<p>Bu senaryolarda do\u011frudan veritaban\u0131 eri\u015fimi yerine servisler aras\u0131 ileti\u015fim (genellikle API \u00e7a\u011fr\u0131lar\u0131 veya mesajla\u015fma) tercih edilir. Ancak bu, \"eventual consistency\" (nihai tutarl\u0131l\u0131k) kavram\u0131n\u0131 da beraberinde getirir. Anl\u0131k tutarl\u0131l\u0131k yerine, sistemin sonunda tutarl\u0131 olaca\u011f\u0131 varsay\u0131l\u0131r. \u00d6rne\u011fin, bir \u00fcr\u00fcn\u00fcn fiyat\u0131 de\u011fi\u015fti\u011finde, bu bilgi bir olay (event) olarak yay\u0131nlanabilir ve \"Sipari\u015f\" servisi bu olay\u0131 dinleyerek kendi \u00fcr\u00fcn bilgilerini g\u00fcncelleyebilir. Bu asenkron ileti\u015fim, sistemin daha esnek ve daha dayan\u0131kl\u0131 olmas\u0131n\u0131 sa\u011flar, ancak veri tutars\u0131zl\u0131klar\u0131 riskini de i\u00e7erir.<\/p>\n<p>Veri senkronizasyonu i\u00e7in kullan\u0131labilecek baz\u0131 mekanizmalar \u015funlard\u0131r:<\/p>\n<ul>\n<li><strong>API \u00c7a\u011fr\u0131lar\u0131:<\/strong> Bir servis, ba\u015fka bir servisin RESTful API'sini \u00e7a\u011f\u0131rarak veri al\u0131\u015fveri\u015fi yapabilir. Bu, en basit y\u00f6ntemdir ancak senkron ba\u011f\u0131ml\u0131l\u0131klar yarat\u0131r ve servisler aras\u0131 e\u015fle\u015fmeyi art\u0131r\u0131r.<\/li>\n<li><strong>Olay Odakl\u0131 Mimari (Event-Driven Architecture):<\/strong> Servisler, bir olay\u0131 (\u00f6rne\u011fin, \"\u00dcr\u00fcn Fiyat\u0131 G\u00fcncellendi\") bir mesaj broker'\u0131na (Kafka, RabbitMQ) yay\u0131nlar ve di\u011fer ilgili servisler bu olaylar\u0131 dinleyip kendi veritabanlar\u0131n\u0131 g\u00fcnceller. Bu, gev\u015fek ba\u011fl\u0131l\u0131k sa\u011flar ve \u00f6l\u00e7eklenebilirli\u011fi art\u0131r\u0131r.<\/li>\n<li><strong>Saga Deseni:<\/strong> Da\u011f\u0131t\u0131lm\u0131\u015f i\u015flemlerin y\u00f6netilmesi i\u00e7in kullan\u0131l\u0131r. Bir i\u015f s\u00fcreci birden fazla yerel i\u015flemden olu\u015fur ve her bir i\u015flem, bir sonraki ad\u0131m\u0131 tetikleyen veya bir \u00f6nceki ad\u0131m\u0131 geri alan bir olay yay\u0131nlar. Bu, <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong> sonras\u0131 veri tutarl\u0131l\u0131\u011f\u0131n\u0131 sa\u011flamak i\u00e7in olduk\u00e7a geli\u015fmi\u015f bir y\u00f6ntemdir.<\/li>\n<\/ul>\n<p>Veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc sa\u011flamak ve da\u011f\u0131t\u0131lm\u0131\u015f sistemlerdeki zorluklar\u0131n \u00fcstesinden gelmek i\u00e7in, geli\u015ftiricilerin ve mimarlar\u0131n yeni d\u00fc\u015f\u00fcnce bi\u00e7imleri geli\u015ftirmesi gerekir. ACID (Atomicity, Consistency, Isolation, Durability) garantisi veren geleneksel ili\u015fkisel veritaban\u0131 i\u015flemleri, mikroservis d\u00fcnyas\u0131nda yerini BASE (Basically Available, Soft state, Eventually consistent) prensiplerine b\u0131rakabilir. Bu, sistemin kullan\u0131labilirli\u011fini tutarl\u0131l\u0131\u011f\u0131n \u00f6n\u00fcne koyan bir yakla\u015f\u0131md\u0131r. Veri y\u00f6netimi, <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong>nin en hassas noktalar\u0131ndan biridir ve dikkatli planlama, tasar\u0131m ve test gerektirir.<\/p>\n<h2>Operasyonel Zorluklar ve \u00c7\u00f6z\u00fcmleri: Mikroservis Ortam\u0131nda \u0130zleme ve Da\u011f\u0131t\u0131m<\/h2>\n<p>Mikroservis mimarisine ge\u00e7i\u015f, geli\u015ftirme s\u00fcrecindeki karma\u015f\u0131kl\u0131\u011f\u0131 azalt\u0131rken, operasyonel karma\u015f\u0131kl\u0131\u011f\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131r\u0131r. Monolitik bir uygulamay\u0131 izlemek ve da\u011f\u0131tmak nispeten daha basittir; genellikle tek bir da\u011f\u0131t\u0131m birimi ve tek bir log dosyas\u0131 vard\u0131r. Ancak <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong> sonras\u0131nda, y\u00fczlerce hatta binlerce mikroservis s\u00f6z konusu oldu\u011funda, her birini y\u00f6netmek, izlemek ve sorun gidermek bamba\u015fka bir meydan okuma haline gelir.<\/p>\n<p>Mikroservis ortam\u0131nda kar\u015f\u0131la\u015f\u0131lan ba\u015fl\u0131ca operasyonel zorluklar ve bunlara y\u00f6nelik \u00e7\u00f6z\u00fcmler \u015funlard\u0131r:<\/p>\n<ol>\n<li><strong>Hizmet Ke\u015ffi:<\/strong> Yeni bir servis ba\u015flat\u0131ld\u0131\u011f\u0131nda, di\u011fer servislerin onu nas\u0131l bulaca\u011f\u0131n\u0131 bilmesi gerekir. Eureka, Consul veya Kubernetes Service Discovery gibi ara\u00e7lar, servislerin birbirlerini dinamik olarak bulmas\u0131n\u0131 sa\u011flar. Bu sayede IP adreslerini veya portlar\u0131 manuel olarak y\u00f6netme ihtiyac\u0131 ortadan kalkar.<\/li>\n<li><strong>Y\u00fck Dengeleme:<\/strong> \u0130steklerin servis \u00f6rnekleri aras\u0131nda e\u015fit \u015fekilde da\u011f\u0131t\u0131lmas\u0131, performans\u0131 ve kullan\u0131labilirli\u011fi art\u0131r\u0131r. API Gateway'ler ve bulut sa\u011flay\u0131c\u0131lar\u0131n (AWS ELB, Azure Load Balancer) sa\u011flad\u0131\u011f\u0131 y\u00fck dengeleyiciler bu i\u015flevi g\u00f6r\u00fcr.<\/li>\n<li><strong>\u0130zleme (Monitoring) ve Loglama:<\/strong> Y\u00fczlerce servisin loglar\u0131n\u0131 ve metriklerini tek tek toplamak imkans\u0131zd\u0131r. Merkezi loglama \u00e7\u00f6z\u00fcmleri (ELK Stack - Elasticsearch, Logstash, Kibana; Grafana Loki) ve performans izleme ara\u00e7lar\u0131 (Prometheus, Datadog, New Relic) kritik \u00f6neme sahiptir. Bu ara\u00e7lar, sistemin genel sa\u011fl\u0131\u011f\u0131n\u0131, servislerin performans\u0131n\u0131 ve hata oranlar\u0131n\u0131 g\u00f6rselle\u015ftirmemizi sa\u011flar.<\/li>\n<li><strong>Da\u011f\u0131t\u0131lm\u0131\u015f \u0130zleme (Distributed Tracing):<\/strong> Bir istek birden fazla mikroservisten ge\u00e7ti\u011finde, bu iste\u011fin hangi servislerde ne kadar zaman ge\u00e7irdi\u011fini ve nerede hata verdi\u011fini tespit etmek zordur. Jaeger veya Zipkin gibi da\u011f\u0131t\u0131lm\u0131\u015f izleme ara\u00e7lar\u0131, bu \"izleri\" g\u00f6rselle\u015ftirerek sorun gidermeyi kolayla\u015ft\u0131r\u0131r.<\/li>\n<li><strong>Otomasyon ve Orkestrasyon:<\/strong> Mikroservislerin konu\u015fland\u0131r\u0131lmas\u0131, \u00f6l\u00e7eklenmesi ve y\u00f6netimi i\u00e7in Docker ve Kubernetes gibi konteyner teknolojileri ve orkestrasyon ara\u00e7lar\u0131 vazge\u00e7ilmezdir. Bu ara\u00e7lar, her servisin kendi ortam\u0131nda izole bir \u015fekilde \u00e7al\u0131\u015fmas\u0131n\u0131 ve kaynaklar\u0131n verimli kullan\u0131lmas\u0131n\u0131 sa\u011flar.<\/li>\n<li><strong>S\u00fcrekli Entegrasyon\/S\u00fcrekli Da\u011f\u0131t\u0131m (CI\/CD):<\/strong> Her servisin ba\u011f\u0131ms\u0131z olarak test edilip da\u011f\u0131t\u0131lmas\u0131, manuel s\u00fcre\u00e7lerle \u00e7ok zaman al\u0131c\u0131 hale gelecektir. Jenkins, GitLab CI\/CD, CircleCI gibi ara\u00e7lar, bu s\u00fcre\u00e7leri otomatikle\u015ftirerek h\u0131zl\u0131 ve g\u00fcvenilir da\u011f\u0131t\u0131mlar sa\u011flar.<\/li>\n<\/ol>\n<p>Bu operasyonel ara\u00e7lar\u0131n do\u011fru bir \u015fekilde yap\u0131land\u0131r\u0131lmas\u0131 ve kullan\u0131lmas\u0131, <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong> sonras\u0131 sistemin sorunsuz \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flar. Her bir bile\u015fenin do\u011fru bir \u015fekilde izlenmesi, olas\u0131 sorunlar\u0131n erken a\u015famada tespit edilmesine ve \u00e7\u00f6z\u00fclmesine yard\u0131mc\u0131 olur. Bu, mikroservis mimarisinin sundu\u011fu esneklik ve \u00f6l\u00e7eklenebilirlik avantajlar\u0131ndan tam olarak yararlanmak i\u00e7in kritik bir ad\u0131md\u0131r.<\/p>\n<h2>Ger\u00e7ek D\u00fcnya Senaryosu: X \u015eirketi Nas\u0131l Ge\u00e7i\u015f Yapt\u0131?<\/h2>\n<p>Hayali bir e-ticaret \u015firketi olan \"TrendPazar\"\u0131n <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong> yolculu\u011funu inceleyelim. TrendPazar, on y\u0131ld\u0131r aktif olan ve milyonlarca kullan\u0131c\u0131s\u0131 olan b\u00fcy\u00fck, monolitik bir Java uygulamas\u0131na sahipti. Uygulama, m\u00fc\u015fteri y\u00f6netimi, \u00fcr\u00fcn katalogu, sipari\u015f i\u015fleme, envanter ve \u00f6deme sistemleri gibi t\u00fcm temel i\u015flevleri tek bir kod taban\u0131nda bar\u0131nd\u0131r\u0131yordu. Uygulama b\u00fcy\u00fcd\u00fck\u00e7e, geli\u015ftiriciler \u015fu sorunlarla kar\u015f\u0131la\u015fmaya ba\u015flad\u0131:<\/p>\n<ul>\n<li><strong>Yava\u015f Geli\u015ftirme:<\/strong> Yeni bir \u00f6zellik eklemek veya mevcut bir mod\u00fclde de\u011fi\u015fiklik yapmak, t\u00fcm uygulaman\u0131n yeniden derlenmesini ve da\u011f\u0131t\u0131lmas\u0131n\u0131 gerektiriyordu. Bu, her da\u011f\u0131t\u0131m\u0131n saatler s\u00fcrmesine neden oluyordu.<\/li>\n<li><strong>\u00d6l\u00e7eklenebilirlik Zorluklar\u0131:<\/strong> Yo\u011fun kampanya d\u00f6nemlerinde sistemin sadece bir k\u0131sm\u0131 (\u00f6rne\u011fin, \u00f6deme mod\u00fcl\u00fc) a\u015f\u0131r\u0131 y\u00fcklenirken, t\u00fcm monolitik uygulama \u00f6l\u00e7eklendirilmek zorunda kal\u0131yordu, bu da gereksiz kaynak maliyetlerine yol a\u00e7\u0131yordu.<\/li>\n<li><strong>Teknoloji Kilitlenmesi:<\/strong> T\u00fcm uygulama Java ve eski bir Hibernate s\u00fcr\u00fcm\u00fcyle yaz\u0131lm\u0131\u015ft\u0131. Yeni ve daha verimli teknolojileri (\u00f6rne\u011fin, NoSQL veritabanlar\u0131 veya farkl\u0131 programlama dilleri) kullanmak m\u00fcmk\u00fcn de\u011fildi.<\/li>\n<li><strong>Hata Yay\u0131l\u0131m\u0131:<\/strong> Bir mod\u00fcldeki k\u00fc\u00e7\u00fck bir hata, t\u00fcm uygulaman\u0131n \u00e7\u00f6kmesine neden olabiliyordu.<\/li>\n<\/ul>\n<p>TrendPazar y\u00f6netimi, bu sorunlar\u0131n uzun vadede rekabet g\u00fc\u00e7lerini azaltaca\u011f\u0131n\u0131 fark etti ve <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong> karar\u0131n\u0131 ald\u0131. \u0130lk olarak bir dan\u0131\u015fman ekibiyle \u00e7al\u0131\u015farak mevcut monolitik yap\u0131y\u0131 analiz ettiler ve potansiyel servis s\u0131n\u0131rlar\u0131n\u0131 belirlediler. \"Strangler Fig Pattern\" stratejisini benimseyerek, riski azaltmay\u0131 hedeflediler.<\/p>\n<p><strong>Ge\u00e7i\u015f Ad\u0131mlar\u0131:<\/strong><\/p>\n<ol>\n<li><strong>API Gateway Kurulumu:<\/strong> \u00d6ncelikle, t\u00fcm d\u0131\u015f istekleri kar\u015f\u0131layacak ve y\u00f6nlendirecek bir Nginx tabanl\u0131 API Gateway kurdular. Bu, hem mevcut monolite hem de gelecekteki mikroservislere giden trafi\u011fi y\u00f6netecekti.<\/li>\n<li><strong>\"Kullan\u0131c\u0131 Do\u011frulama\" Mikroservisi:<\/strong> En ba\u011f\u0131ms\u0131z ve kritik olmayan mod\u00fcl olan kullan\u0131c\u0131 do\u011frulama (authentication) servisini ay\u0131rd\u0131lar. Monolit i\u00e7indeki mevcut Java kodu Spring Boot ile yeniden yaz\u0131ld\u0131 ve ayr\u0131 bir Docker konteyneri olarak da\u011f\u0131t\u0131ld\u0131. API Gateway, <code>\/auth<\/code> ile ba\u015flayan istekleri bu yeni servise y\u00f6nlendirecek \u015fekilde yap\u0131land\u0131r\u0131ld\u0131.<\/li>\n<li><strong>\"\u00dcr\u00fcn Katalogu\" Mikroservisi:<\/strong> Ard\u0131ndan, okuma a\u011f\u0131rl\u0131kl\u0131 olan \u00fcr\u00fcn katalogu mod\u00fcl\u00fcn\u00fc ay\u0131rd\u0131lar. Bu servis, daha h\u0131zl\u0131 yan\u0131t s\u00fcreleri i\u00e7in Node.js ve MongoDB kullanarak yeniden yaz\u0131ld\u0131. Bu, TrendPazar'\u0131n farkl\u0131 teknoloji y\u0131\u011f\u0131nlar\u0131n\u0131 test etmesine olanak tan\u0131d\u0131.<\/li>\n<li><strong>Veri Senkronizasyonu:<\/strong> Mevcut monolitik veritaban\u0131ndaki \u00fcr\u00fcn verileri, bir kereye mahsus aktar\u0131m ve ard\u0131ndan CDC (Change Data Capture) mekanizmalar\u0131 kullanarak MongoDB'ye senkronize edildi. \u00dcr\u00fcn g\u00fcncellemeleri, Kafka \u00fczerinden olaylar olarak yay\u0131nland\u0131 ve ilgili servisler bu olaylar\u0131 dinleyerek kendi \u00f6nbelleklerini veya veritabanlar\u0131n\u0131 g\u00fcncelledi.<\/li>\n<li><strong>Otomasyon ve \u0130zleme:<\/strong> Her yeni mikroservisle birlikte, CI\/CD boru hatlar\u0131 (GitLab CI\/CD kullanarak) olu\u015fturuldu. T\u00fcm mikroservisler Kubernetes \u00fczerinde konu\u015fland\u0131r\u0131ld\u0131 ve Prometheus ile Grafana kullan\u0131larak merkezi izleme altyap\u0131s\u0131 kuruldu. Da\u011f\u0131t\u0131lm\u0131\u015f izleme i\u00e7in Jaeger entegre edildi.<\/li>\n<\/ol>\n<p>Bu kademeli ge\u00e7i\u015f s\u00fcreci iki y\u0131l s\u00fcrd\u00fc. TrendPazar, bu s\u00fcre\u00e7te bir\u00e7ok zorlukla kar\u015f\u0131la\u015fmas\u0131na ra\u011fmen, sonunda daha esnek, \u00f6l\u00e7eklenebilir ve dayan\u0131kl\u0131 bir sisteme kavu\u015ftu. Art\u0131k \u00f6zellikler birka\u00e7 g\u00fcn i\u00e7inde da\u011f\u0131t\u0131labiliyor, yo\u011fun d\u00f6nemlerde sadece ilgili servisler \u00f6l\u00e7ekleniyor ve ekipler daha otonom \u00e7al\u0131\u015farak inovasyonu h\u0131zland\u0131rabiliyordu. Bu <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong>, TrendPazar'\u0131n teknolojik altyap\u0131s\u0131n\u0131 gelece\u011fe haz\u0131rlayan stratejik bir hamle oldu.<\/p>\n<h2>\u0130leri D\u00fczey \u0130pu\u00e7lar\u0131: Performans, G\u00fcvenlik ve Hata Tolerans\u0131<\/h2>\n<p><strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong> sonras\u0131 mikroservis mimarisini benimsemi\u015f ileri d\u00fczey kullan\u0131c\u0131lar i\u00e7in performans, g\u00fcvenlik ve hata tolerans\u0131n\u0131 art\u0131rmak ad\u0131na baz\u0131 \u00f6nemli ipu\u00e7lar\u0131 ve teknikler bulunmaktad\u0131r. Bu alanlar, da\u011f\u0131t\u0131lm\u0131\u015f sistemlerin do\u011fas\u0131 gere\u011fi daha fazla dikkat ve \u00f6zel \u00e7\u00f6z\u00fcmler gerektirir.<\/p>\n<h3>Performans Optimizasyonu<\/h3>\n<ul>\n<li><strong>API A\u011f Ge\u00e7idi \u00d6nbellekleme:<\/strong> API Gateway'inizde s\u0131k eri\u015filen veriler i\u00e7in \u00f6nbellekleme (caching) uygulay\u0131n. Bu, arka u\u00e7 servislerine giden istek say\u0131s\u0131n\u0131 azaltarak performans\u0131 art\u0131r\u0131r.<\/li>\n<li><strong>Asenkron \u0130leti\u015fim:<\/strong> Servisler aras\u0131 senkron HTTP \u00e7a\u011fr\u0131lar\u0131n\u0131 m\u00fcmk\u00fcn oldu\u011funca azalt\u0131n. Kafka, RabbitMQ gibi mesaj kuyruklar\u0131 kullanarak asenkron, olay odakl\u0131 ileti\u015fim kurmak, servisler aras\u0131 ba\u011f\u0131ml\u0131l\u0131\u011f\u0131 azalt\u0131r ve yan\u0131t s\u00fcrelerini iyile\u015ftirir.<\/li>\n<li><strong>Veri Lokalizasyonu:<\/strong> Her servisin kendi veritaban\u0131na sahip olmas\u0131 genel performans\u0131 art\u0131rsa da, baz\u0131 durumlarda veri tekrar\u0131 (data duplication) performans\u0131 olumlu etkileyebilir. \u00d6zellikle okuma a\u011f\u0131rl\u0131kl\u0131 servislerde, di\u011fer servislerden gelen verilerin kendi yerel veritaban\u0131nda bir kopyas\u0131n\u0131 tutmak, a\u011f gecikmelerini minimize eder.<\/li>\n<li><strong>Verimli Seri hale Getirme:<\/strong> JSON yayg\u0131n olsa da, gRPC ve Protocol Buffers gibi daha verimli ikili seri hale getirme formatlar\u0131, a\u011f bant geni\u015fli\u011fini azaltarak ve i\u015flemci y\u00fck\u00fcn\u00fc d\u00fc\u015f\u00fcrerek performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir.<\/li>\n<\/ul>\n<h3>G\u00fcvenlik Geli\u015ftirmeleri<\/h3>\n<ul>\n<li><strong>Merkezi Kimlik Do\u011frulama ve Yetkilendirme:<\/strong> JWT (JSON Web Tokens) veya OAuth 2.0 gibi standartlar\u0131 kullanarak merkezi bir kimlik do\u011frulama servisi olu\u015fturun. API Gateway bu servisle entegre olmal\u0131 ve her iste\u011fi do\u011frulamal\u0131d\u0131r. Servisler aras\u0131 ileti\u015fimde de JWT token'lar\u0131 kullan\u0131labilir.<\/li>\n<li><strong>Servisler Aras\u0131 G\u00fcvenli \u0130leti\u015fim:<\/strong> Servisler aras\u0131 t\u00fcm ileti\u015fimin TLS (Transport Layer Security) ile \u015fifrelendi\u011finden emin olun. Servis a\u011f\u0131 (Service Mesh) \u00e7\u00f6z\u00fcmleri (Istio, Linkerd) bu t\u00fcr g\u00fcvenlik politikalar\u0131n\u0131 otomatik olarak uygulayabilir.<\/li>\n<li><strong>En D\u00fc\u015f\u00fck Ayr\u0131cal\u0131k Prensibi:<\/strong> Her mikroservise, g\u00f6revini yerine getirmesi i\u00e7in kesinlikle ihtiya\u00e7 duydu\u011fu minimum ayr\u0131cal\u0131klar\u0131 verin. Bu, bir servisin ele ge\u00e7irilmesi durumunda olu\u015fabilecek zarar\u0131 s\u0131n\u0131rlar.<\/li>\n<li><strong>Giri\u015f Do\u011frulamas\u0131:<\/strong> API Gateway seviyesinde ve her mikroservis seviyesinde gelen t\u00fcm giri\u015f verilerini s\u0131k\u0131 bir \u015fekilde do\u011frulay\u0131n ve temizleyin. SQL enjeksiyonu, XSS gibi sald\u0131r\u0131lar\u0131 \u00f6nlemek i\u00e7in bu kritik \u00f6neme sahiptir.<\/li>\n<\/ul>\n<h3>Hata Tolerans\u0131 ve Dayan\u0131kl\u0131l\u0131k<\/h3>\n<ul>\n<li><strong>Circuit Breaker Deseni:<\/strong> Bir servis ar\u0131zal\u0131 veya yava\u015f yan\u0131t veriyorsa, istemci servisin bu servise yap\u0131lan istekleri otomatik olarak kesmesini (devre kesiciyi a\u00e7mas\u0131n\u0131) sa\u011flay\u0131n. Bu, kademeli hata olu\u015fumunu \u00f6nler ve ar\u0131zal\u0131 servisin toparlanmas\u0131 i\u00e7in zaman tan\u0131r. Hystrix (veya daha modern alternatifleri) bu deseni uygulaman\u0131za yard\u0131mc\u0131 olur.<\/li>\n<li><strong>Topluluk (Bulkhead) Deseni:<\/strong> Farkl\u0131 servis \u00e7a\u011fr\u0131lar\u0131n\u0131 veya farkl\u0131 t\u00fcrdeki kaynak eri\u015fimlerini izole edin. B\u00f6ylece bir servis \u00e7a\u011fr\u0131s\u0131ndaki sorun, di\u011fer servis \u00e7a\u011fr\u0131lar\u0131n\u0131 veya kaynaklar\u0131 etkilemez. \u00d6rne\u011fin, her bir arka u\u00e7 servisi i\u00e7in ayr\u0131 i\u015f par\u00e7ac\u0131\u011f\u0131 havuzlar\u0131 kullan\u0131n.<\/li>\n<li><strong>Retry (Yeniden Dene) Mekanizmas\u0131:<\/strong> Ge\u00e7ici a\u011f hatalar\u0131 veya k\u0131sa s\u00fcreli servis kesintileri durumunda, ba\u015far\u0131s\u0131z olan istekleri belirli bir bekleme s\u00fcresiyle (exponential backoff) otomatik olarak yeniden deneyin.<\/li>\n<li><strong>Health Check (Sa\u011fl\u0131k Kontrol\u00fc):<\/strong> Her servisin bir sa\u011fl\u0131k kontrol\u00fc (\u00f6rne\u011fin, <code>\/health<\/code> endpoint'i) sunmas\u0131n\u0131 sa\u011flay\u0131n. Konteyner orkestrasyon ara\u00e7lar\u0131 (Kubernetes) bu kontrolleri kullanarak ar\u0131zal\u0131 servisleri otomatik olarak yeniden ba\u015flatabilir veya trafik ak\u0131\u015f\u0131n\u0131 durdurabilir.<\/li>\n<\/ul>\n<p>Bu ileri d\u00fczey teknikler, <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong>nin getirdi\u011fi da\u011f\u0131t\u0131lm\u0131\u015f sistem zorluklar\u0131n\u0131n \u00fcstesinden gelmek ve y\u00fcksek performansl\u0131, g\u00fcvenli ve dayan\u0131kl\u0131 bir mikroservis mimarisi olu\u015fturmak i\u00e7in vazge\u00e7ilmezdir. Her bir teknik, sistemin farkl\u0131 katmanlar\u0131nda farkl\u0131 sorunlar\u0131 \u00e7\u00f6zmeye odaklan\u0131r ve birbiriyle entegre bir \u015fekilde kullan\u0131ld\u0131\u011f\u0131nda maksimum fayda sa\u011flar.<\/p>\n<h2>Sonu\u00e7: B\u00fcy\u00fck B\u00f6l\u00fcnme ve Gelece\u011fin Yaz\u0131l\u0131m Mimarisi<\/h2>\n<p>Bu makalede \"B\u00fcy\u00fck B\u00f6l\u00fcnme\" kavram\u0131n\u0131, monolitik ve mikroservis mimarileri aras\u0131ndaki kritik d\u00f6n\u00fc\u015f\u00fcm\u00fc, bu ge\u00e7i\u015fin nedenlerini, stratejilerini ve teknik detaylar\u0131n\u0131 ele ald\u0131k. G\u00f6rd\u00fc\u011f\u00fcm\u00fcz gibi, monolitlerden mikroservislere ge\u00e7i\u015f, sadece kod yazmakla s\u0131n\u0131rl\u0131 kalmay\u0131p, ayn\u0131 zamanda organizasyonel yap\u0131y\u0131, geli\u015ftirme s\u00fcre\u00e7lerini ve operasyonel yakla\u015f\u0131mlar\u0131 derinden etkileyen kapsaml\u0131 bir d\u00f6n\u00fc\u015f\u00fcmd\u00fcr. Ba\u015flang\u0131\u00e7ta kula\u011fa karma\u015f\u0131k gelse de, do\u011fru stratejiler, ara\u00e7lar ve bir k\u00fclt\u00fcr de\u011fi\u015fimiyle bu d\u00f6n\u00fc\u015f\u00fcm ba\u015far\u0131yla y\u00f6netilebilir.<\/p>\n<p>Mikroservis mimarisi, do\u011fru uyguland\u0131\u011f\u0131nda, ekiplere otonomi, sistemlere esneklik ve \u00f6l\u00e7eklenebilirlik, \u00fcr\u00fcnlere ise pazara \u00e7\u0131k\u0131\u015f h\u0131z\u0131 sunar. Ancak bu avantajlar, beraberinde artan operasyonel karma\u015f\u0131kl\u0131k, da\u011f\u0131t\u0131lm\u0131\u015f sistemlerin getirdi\u011fi zorluklar ve veri tutarl\u0131l\u0131\u011f\u0131 gibi yeni meydan okumalar\u0131 da getirir. Bu nedenle, <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong> karar\u0131 al\u0131n\u0131rken, organizasyonun mevcut ihtiya\u00e7lar\u0131, yetkinlikleri ve uzun vadeli hedefleri dikkatlice de\u011ferlendirilmelidir. K\u00fc\u00e7\u00fck projeler i\u00e7in monolitler hala en iyi se\u00e7enek olabilirken, h\u0131zla b\u00fcy\u00fcyen ve s\u00fcrekli de\u011fi\u015fen b\u00fcy\u00fck \u00f6l\u00e7ekli sistemler i\u00e7in mikroservisler vazge\u00e7ilmez bir \u00e7\u00f6z\u00fcm sunar.<\/p>\n<p>Gelecekte yaz\u0131l\u0131m mimarileri daha da mod\u00fcler, daha olay odakl\u0131 ve daha otomatize hale gelecektir. Bulut yerel (cloud-native) yakla\u015f\u0131mlar, serverless mimariler ve servis a\u011flar\u0131 gibi teknolojiler, mikroservislerin y\u00f6netimini daha da kolayla\u015ft\u0131racak ve bu <strong>B\u00fcy\u00fck B\u00f6l\u00fcnme<\/strong>nin getirdi\u011fi faydalar\u0131 daha geni\u015f kitlelere ula\u015ft\u0131racakt\u0131r. \u00d6nemli olan, hangi mimariyi se\u00e7ersek se\u00e7elim, s\u00fcrekli \u00f6\u011frenmeye, adapte olmaya ve teknolojik yenilikleri i\u015f ihtiya\u00e7lar\u0131yla uyumlu hale getirmeye devam etmektir.<\/p>\n<h3>S\u0131k\u00e7a Sorulan Sorular<\/h3>\n<ol>\n<li>\n        <strong>S: Mikroservis mimarisi her proje i\u00e7in uygun mudur?<\/strong><\/p>\n<p>C: Hay\u0131r, her proje i\u00e7in uygun de\u011fildir. \u00d6zellikle k\u00fc\u00e7\u00fck veya ba\u015flang\u0131\u00e7 a\u015famas\u0131ndaki projeler i\u00e7in monolitik mimari, daha h\u0131zl\u0131 geli\u015ftirme ve daha az operasyonel karma\u015f\u0131kl\u0131k sunabilir. Mikroservisler, y\u00fcksek \u00f6l\u00e7eklenebilirlik, esneklik ve ba\u011f\u0131ms\u0131z ekip \u00e7al\u0131\u015fmas\u0131 gerektiren b\u00fcy\u00fck, karma\u015f\u0131k sistemler i\u00e7in daha uygundur.<\/p>\n<\/li>\n<li>\n        <strong>S: Monolitten mikroservislere ge\u00e7i\u015f ne kadar s\u00fcrer?<\/strong><\/p>\n<p>C: Bu s\u00fcre, monolitik uygulaman\u0131n b\u00fcy\u00fckl\u00fc\u011f\u00fcne, karma\u015f\u0131kl\u0131\u011f\u0131na, ekibin yetkinli\u011fine ve kaynaklara ba\u011fl\u0131d\u0131r. Genellikle aylar, hatta y\u0131llar s\u00fcrebilen kademeli bir s\u00fcre\u00e7tir. \"Strangler Fig Pattern\" gibi yakla\u015f\u0131mlar bu ge\u00e7i\u015fi daha y\u00f6netilebilir hale getirir.<\/p>\n<\/li>\n<li>\n        <strong>S: Mikroservislerde veri tutarl\u0131l\u0131\u011f\u0131 nas\u0131l sa\u011flan\u0131r?<\/strong><\/p>\n<p>C: Mikroservislerde genellikle \"eventual consistency\" (nihai tutarl\u0131l\u0131k) kabul edilir. Bu, verilerin anl\u0131k olarak de\u011fil, zamanla tutarl\u0131 hale gelece\u011fi anlam\u0131na gelir. Olay odakl\u0131 mimariler (Kafka, RabbitMQ ile) ve Saga deseni gibi mekanizmalar, da\u011f\u0131t\u0131lm\u0131\u015f i\u015flemler ve veri senkronizasyonu i\u00e7in kullan\u0131l\u0131r.<\/p>\n<\/li>\n<li>\n        <strong>S: Mikroservislerin operasyonel maliyetleri neden daha y\u00fcksektir?<\/strong><\/p>\n<p>C: Mikroservisler, \u00e7ok say\u0131da ba\u011f\u0131ms\u0131z servisi y\u00f6netmeyi gerektirir. Bu durum, hizmet ke\u015ffi, y\u00fck dengeleme, merkezi loglama, da\u011f\u0131t\u0131lm\u0131\u015f izleme, s\u00fcrekli entegrasyon\/da\u011f\u0131t\u0131m (CI\/CD) boru hatlar\u0131 ve konteyner orkestrasyonu (Kubernetes gibi) i\u00e7in ek ara\u00e7lar ve altyap\u0131 yat\u0131r\u0131m\u0131 gerektirir. Bu da operasyonel karma\u015f\u0131kl\u0131\u011f\u0131 ve maliyetleri art\u0131r\u0131r.<\/p>\n<\/li>\n<li>\n        <strong>S: API Gateway kullanmak zorunlu mu?<\/strong><\/p>\n<p>C: Zorunlu de\u011fildir ancak \u015fiddetle tavsiye edilir. API Gateway, istemciler i\u00e7in tek bir giri\u015f noktas\u0131 sa\u011flayarak, arka u\u00e7taki mikroservis karma\u015f\u0131kl\u0131\u011f\u0131n\u0131 gizler, y\u00f6nlendirme, kimlik do\u011frulama, yetkilendirme, \u00f6nbellekleme ve y\u00fck dengeleme gibi \u00e7apraz kesen endi\u015feleri y\u00f6netir. Bu, sistemin y\u00f6netimini kolayla\u015ft\u0131r\u0131r ve g\u00fcvenli\u011fi art\u0131r\u0131r.<\/p>\n<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"G\u00fcn\u00fcm\u00fcz\u00fcn h\u0131zla de\u011fi\u015fen dijital d\u00fcnyas\u0131nda, yaz\u0131l\u0131m sistemleri s\u00fcrekli olarak daha b\u00fcy\u00fck, daha karma\u015f\u0131k ve daha \u00f6l\u00e7eklenebilir olma ihtiyac\u0131yla&hellip;","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-31084","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) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>B\u00fcy\u00fck B\u00f6l\u00fcnme: Monolitlerden Mikroservislere Ge\u00e7i\u015fin Teknik S\u0131rlar\u0131<\/title>\n<meta name=\"description\" content=\"G\u00fcn\u00fcm\u00fcz\u00fcn h\u0131zla de\u011fi\u015fen dijital d\u00fcnyas\u0131nda, yaz\u0131l\u0131m sistemleri s\u00fcrekli olarak daha b\u00fcy\u00fck, daha karma\u015f\u0131k ve daha \u00f6l\u00e7eklenebilir olma ihtiyac\u0131yla kar\u015f\u0131 kar\u015f\u0131ya kal\u0131yor. Bu dinamik ortamda, ekipler ve mimarlar genellikle kritik bir yol ayr\u0131m\u0131na gelirler: Geleneksel monolitik yap\u0131larla devam etmek mi, yoksa modern mikroservis mimarisine ge\u00e7i\u015f yapmak m\u0131? \u0130\u015fte bu se\u00e7im, teknoloji d\u00fcnyas\u0131ndaki B\u00fcy\u00fck B\u00f6l\u00fcnme olarak adland\u0131r\u0131labilir ve bu makale, bu derin mimari ge\u00e7i\u015fin ard\u0131ndaki s\u0131rlar\u0131 ayd\u0131nlatmay\u0131 ama\u00e7l\u0131yor.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/buyuk-bolunme-monolitlerden-mikroservislere-gecisin-teknik-sirlari\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"B\u00fcy\u00fck B\u00f6l\u00fcnme: Monolitlerden Mikroservislere Ge\u00e7i\u015fin Teknik S\u0131rlar\u0131\" \/>\n<meta property=\"og:description\" content=\"G\u00fcn\u00fcm\u00fcz\u00fcn h\u0131zla de\u011fi\u015fen dijital d\u00fcnyas\u0131nda, yaz\u0131l\u0131m sistemleri s\u00fcrekli olarak daha b\u00fcy\u00fck, daha karma\u015f\u0131k ve daha \u00f6l\u00e7eklenebilir olma ihtiyac\u0131yla kar\u015f\u0131 kar\u015f\u0131ya kal\u0131yor. Bu dinamik ortamda, ekipler ve mimarlar genellikle kritik bir yol ayr\u0131m\u0131na gelirler: Geleneksel monolitik yap\u0131larla devam etmek mi, yoksa modern mikroservis mimarisine ge\u00e7i\u015f yapmak m\u0131? \u0130\u015fte bu se\u00e7im, teknoloji d\u00fcnyas\u0131ndaki B\u00fcy\u00fck B\u00f6l\u00fcnme olarak adland\u0131r\u0131labilir ve bu makale, bu derin mimari ge\u00e7i\u015fin ard\u0131ndaki s\u0131rlar\u0131 ayd\u0131nlatmay\u0131 ama\u00e7l\u0131yor.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fatihsoysal.com\/blog\/buyuk-bolunme-monolitlerden-mikroservislere-gecisin-teknik-sirlari\/\" \/>\n<meta property=\"og:site_name\" content=\"Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" \/>\n<meta property=\"article:published_time\" content=\"2025-10-05T11:01:45+00:00\" \/>\n<meta name=\"author\" content=\"Fatih Soysal\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Yazan:\" \/>\n\t<meta name=\"twitter:data1\" content=\"Fatih Soysal\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data2\" content=\"26 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/buyuk-bolunme-monolitlerden-mikroservislere-gecisin-teknik-sirlari\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/buyuk-bolunme-monolitlerden-mikroservislere-gecisin-teknik-sirlari\/\"},\"author\":{\"name\":\"Fatih Soysal\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"headline\":\"B\u00fcy\u00fck B\u00f6l\u00fcnme: Monolitlerden Mikroservislere Ge\u00e7i\u015fin Teknik S\u0131rlar\u0131\",\"datePublished\":\"2025-10-05T11:01:45+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/buyuk-bolunme-monolitlerden-mikroservislere-gecisin-teknik-sirlari\/\"},\"wordCount\":4766,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/buyuk-bolunme-monolitlerden-mikroservislere-gecisin-teknik-sirlari\/#respond\"]}],\"copyrightYear\":\"2025\",\"copyrightHolder\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/buyuk-bolunme-monolitlerden-mikroservislere-gecisin-teknik-sirlari\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/buyuk-bolunme-monolitlerden-mikroservislere-gecisin-teknik-sirlari\/\",\"name\":\"B\u00fcy\u00fck B\u00f6l\u00fcnme: Monolitlerden Mikroservislere Ge\u00e7i\u015fin Teknik S\u0131rlar\u0131\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\"},\"datePublished\":\"2025-10-05T11:01:45+00:00\",\"description\":\"G\u00fcn\u00fcm\u00fcz\u00fcn h\u0131zla de\u011fi\u015fen dijital d\u00fcnyas\u0131nda, yaz\u0131l\u0131m sistemleri s\u00fcrekli olarak daha b\u00fcy\u00fck, daha karma\u015f\u0131k ve daha \u00f6l\u00e7eklenebilir olma ihtiyac\u0131yla kar\u015f\u0131 kar\u015f\u0131ya kal\u0131yor. 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