{"id":31453,"date":"2025-10-10T04:02:03","date_gmt":"2025-10-10T01:02:03","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/"},"modified":"2025-10-10T04:02:03","modified_gmt":"2025-10-10T01:02:03","slug":"go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/","title":{"rendered":"Go Bellek Stres Testi: Y\u00fcksek Y\u00fckl\u00fc Senaryolarda Pratik Rehber"},"content":{"rendered":"<p><body><\/p>\n<style>\n        body {\n            font-family: Arial, sans-serif;\n            line-height: 1.6;\n            color: #333;\n            margin: 0 auto;\n            max-width: 800px;\n            padding: 20px;\n        }\n        h2 {\n            color: #2c3e50;\n            margin-top: 30px;\n            padding-bottom: 10px;\n            border-bottom: 2px solid #3498db;\n        }\n        h3 {\n            color: #34495e;\n            margin-top: 25px;\n            padding-bottom: 5px;\n            border-bottom: 1px solid #ecf0f1;\n        }\n        p {\n            margin-bottom: 15px;\n        }\n        pre {\n            background-color: #ecf0f1;\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        ul {\n            list-style-type: disc;\n            margin-left: 20px;\n            margin-bottom: 15px;\n        }\n        ol {\n            list-style-type: decimal;\n            margin-left: 20px;\n            margin-bottom: 15px;\n        }\n        li {\n            margin-bottom: 8px;\n        }\n        .expert-tip {\n            background-color: #e8f6f3;\n            border-left: 5px solid #1abc9c;\n            padding: 15px;\n            margin: 20px 0;\n            border-radius: 4px;\n        }\n        .expert-tip strong {\n            color: #1abc9c;\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: 8px;\n            text-align: left;\n        }\n        th {\n            background-color: #f2f2f2;\n            color: #333;\n        }<\/p>\n<p>        \/* Mobil Uyumlu CSS - Media Queries *\/\n        @media (max-width: 768px) {\n            body {\n                padding: 15px;\n            }\n            h2 {\n                font-size: 22px;\n            }\n            h3 {\n                font-size: 18px;\n            }\n            pre {\n                padding: 10px;\n            }\n        }<\/p>\n<p>        @media (max-width: 480px) {\n            body {\n                padding: 10px;\n            }\n            h2 {\n                font-size: 20px;\n            }\n            h3 {\n                font-size: 16px;\n            }\n            .expert-tip {\n                padding: 10px;\n                margin: 15px 0;\n            }\n        }\n    <\/style>\n<p>Go uygulamalar\u0131n\u0131z y\u00fcksek bellek t\u00fcketimi nedeniyle performans sorunlar\u0131 ya\u015f\u0131yor mu? Bu pratik rehberde, Go bellek stres testinin nas\u0131l yap\u0131laca\u011f\u0131n\u0131, bellek s\u0131z\u0131nt\u0131lar\u0131n\u0131n nas\u0131l tespit edilece\u011fini ve y\u00fcksek y\u00fckl\u00fc senaryolarda sisteminizi nas\u0131l optimize edebilece\u011finizi ad\u0131m ad\u0131m ke\u015ffedeceksiniz. Modern yaz\u0131l\u0131m geli\u015ftirme s\u00fcre\u00e7lerinde bellek y\u00f6netiminin ne kadar kritik oldu\u011funu biliyor ve bu konuda derinlemesine bir yol haritas\u0131 sunuyoruz.<\/p>\n<p>G\u00fcn\u00fcm\u00fcz\u00fcn mikroservis mimarileri ve y\u00fcksek e\u015fzamanl\u0131l\u0131k gerektiren uygulamalar\u0131, bellek kaynaklar\u0131n\u0131n verimli kullan\u0131m\u0131n\u0131 her zamankinden daha \u00f6nemli hale getiriyor. Go (Golang), e\u015fzamanl\u0131l\u0131k yetenekleri ve h\u0131zl\u0131 \u00e7al\u0131\u015fma zaman\u0131 ile \u00f6ne \u00e7\u0131ksa da, yanl\u0131\u015f bellek y\u00f6netimi uygulamalar\u0131nda ciddi performans darbo\u011fazlar\u0131na yol a\u00e7abilir. \u00d6zellikle uzun s\u00fcre \u00e7al\u0131\u015fan sunucu uygulamalar\u0131, API servisleri veya veri i\u015fleme hatlar\u0131 gibi senaryolarda bellek t\u00fcketimi zamanla artabilir ve bu durum, sistemin kararl\u0131l\u0131\u011f\u0131n\u0131 ve yan\u0131t verme s\u00fcresini do\u011frudan etkiler. Bu t\u00fcr sorunlar, genellikle uygulaman\u0131n &#8220;out of memory&#8221; (bellek yetersizli\u011fi) hatas\u0131 vererek \u00e7\u00f6kmesine veya beklentilerin alt\u0131nda bir performans sergilemesine neden olur.<\/p>\n<p>Y\u00fcksek bellek y\u00fck\u00fcne maruz kalman\u0131n ba\u015fl\u0131ca nedenleri aras\u0131nda, g\u00f6zden ka\u00e7an bellek s\u0131z\u0131nt\u0131lar\u0131, verimsiz veri yap\u0131lar\u0131, Go&#8217;nun \u00e7\u00f6p toplay\u0131c\u0131s\u0131n\u0131n (Garbage Collector &#8211; GC) yanl\u0131\u015f ayarlanmas\u0131 veya a\u015f\u0131r\u0131 say\u0131da Goroutine&#8217;in kontrols\u00fcz bir \u015fekilde olu\u015fturulmas\u0131 yer al\u0131r. \u00d6rne\u011fin, her istekte b\u00fcy\u00fck nesneler olu\u015fturan ve bunlar\u0131 uygun \u015fekilde serbest b\u0131rakmayan bir API endpoint&#8217;i zamanla sunucunun belle\u011fini tamamen doldurabilir. Benzer \u015fekilde, bir veritaban\u0131 sorgusundan d\u00f6nen sonu\u00e7lar\u0131 do\u011fru bir \u015fekilde i\u015flemeyen veya bellekten temizlemeyen bir uygulama da ayn\u0131 sorunla kar\u015f\u0131la\u015fabilir. Bu t\u00fcr durumlar, sadece uygulaman\u0131n yava\u015flamas\u0131na de\u011fil, ayn\u0131 zamanda di\u011fer servislerin de etkilenmesine ve nihayetinde t\u00fcm sistemin \u00e7\u00f6kmesine neden olabilir. Dolay\u0131s\u0131yla, Go uygulamalar\u0131n\u0131z\u0131n bellek performans\u0131n\u0131 anlamak, analiz etmek ve optimize etmek, kritik bir geli\u015ftirme becerisidir.<\/p>\n<p>Bellek stres testi, uygulaman\u0131z\u0131n farkl\u0131 y\u00fck senaryolar\u0131nda nas\u0131l davrand\u0131\u011f\u0131n\u0131 anlamak i\u00e7in vazge\u00e7ilmez bir ara\u00e7t\u0131r. Bu testler sayesinde, potansiyel zay\u0131fl\u0131klar\u0131 erken a\u015famada tespit edebilir, \u00fcretim ortam\u0131na \u00e7\u0131kmadan \u00f6nce gerekli optimizasyonlar\u0131 yapabilir ve b\u00f6ylece beklenmedik kesintilerin \u00f6n\u00fcne ge\u00e7ebilirsiniz. Ayr\u0131ca, uygulaman\u0131z\u0131n gelecekteki b\u00fcy\u00fcme potansiyelini de bu testlerle de\u011ferlendirebilir, bellek kaynaklar\u0131n\u0131n ne kadar s\u00fcreyle yeterli olaca\u011f\u0131n\u0131 \u00f6ng\u00f6rebilirsiniz. Do\u011fru ara\u00e7lar ve tekniklerle, Go uygulaman\u0131z\u0131n bellek kullan\u0131m\u0131n\u0131 \u015feffaf bir \u015fekilde izleyebilir ve y\u00fcksek y\u00fckl\u00fc senaryolarda bile istikrarl\u0131 bir performans sergilemesini sa\u011flayabilirsiniz.<\/p>\n<h2>Go Bellek Y\u00f6netimi Nas\u0131l \u00c7al\u0131\u015f\u0131r ve Temel Kavramlar\u0131 Nelerdir?<\/h2>\n<p>Go dilinin arkas\u0131ndaki g\u00fc\u00e7lerden biri, nispeten basit ve etkili bellek y\u00f6netim mekanizmas\u0131d\u0131r. Ancak bu mekanizmay\u0131 tam olarak anlamadan, uygulaman\u0131zda performans sorunlar\u0131yla kar\u015f\u0131la\u015fman\u0131z olas\u0131d\u0131r. Go&#8217;da bellek, temel olarak iki ana b\u00f6lgeye ayr\u0131l\u0131r: Stack (Y\u0131\u011f\u0131n) ve Heap (\u00d6bek). Bu ayr\u0131m, bellek eri\u015fim h\u0131zlar\u0131n\u0131 ve y\u00f6netim karma\u015f\u0131kl\u0131\u011f\u0131n\u0131 do\u011frudan etkiler.<\/p>\n<p><strong>Stack (Y\u0131\u011f\u0131n):<\/strong> Bu, fonksiyon \u00e7a\u011fr\u0131lar\u0131n\u0131n ve lokal de\u011fi\u015fkenlerin tutuldu\u011fu, h\u0131zl\u0131 ve otomatik olarak y\u00f6netilen bir bellek alan\u0131d\u0131r. Bir fonksiyon \u00e7a\u011fr\u0131ld\u0131\u011f\u0131nda, onun i\u00e7in bir &#8220;stack frame&#8221; olu\u015fturulur ve bu frame i\u00e7inde fonksiyonun parametreleri ile lokal de\u011fi\u015fkenleri saklan\u0131r. Fonksiyon tamamland\u0131\u011f\u0131nda, ilgili stack frame otomatik olarak y\u0131\u011f\u0131ndan kald\u0131r\u0131l\u0131r ve bellek geri kazan\u0131l\u0131r. Stack, LIFO (Last-In, First-Out) prensibiyle \u00e7al\u0131\u015f\u0131r ve boyutu derleme zaman\u0131nda veya \u00e7al\u0131\u015fma zaman\u0131nda belirlenebilir, genellikle daha k\u00fc\u00e7\u00fck ve daha \u00f6ng\u00f6r\u00fclebilirdir. Go&#8217;nun Goroutine&#8217;leri kendi k\u00fc\u00e7\u00fck stack&#8217;lerine sahiptir ve bu stack&#8217;ler gerekti\u011finde dinamik olarak b\u00fcy\u00fcy\u00fcp k\u00fc\u00e7\u00fclebilir, bu da esnek bir bellek kullan\u0131m\u0131 sa\u011flar.<\/p>\n<p><strong>Heap (\u00d6bek):<\/strong> Global de\u011fi\u015fkenler, dinamik olarak ayr\u0131lan bellek (<code>make<\/code> veya <code>new<\/code> ile olu\u015fturulan slice&#8217;lar, map&#8217;ler, kanallar, struct&#8217;lar vb.) ve escape analysis sonucunda y\u0131\u011f\u0131na s\u0131\u011fmayan de\u011ferler heap \u00fczerinde ya\u015far. Heap, stack&#8217;e g\u00f6re daha b\u00fcy\u00fck ve daha yava\u015f bir bellek alan\u0131d\u0131r \u00e7\u00fcnk\u00fc dinamik tahsis ve serbest b\u0131rakma i\u015flemleri daha fazla y\u00f6netim gerektirir. Heap&#8217;te ayr\u0131lan bellek, programc\u0131 taraf\u0131ndan manuel olarak serbest b\u0131rak\u0131lmaz; bunun yerine Go&#8217;nun dahili \u00c7\u00f6p Toplay\u0131c\u0131s\u0131 (Garbage Collector &#8211; GC) taraf\u0131ndan y\u00f6netilir. Heap \u00fczerindeki bellek y\u00f6netiminin karma\u015f\u0131kl\u0131\u011f\u0131, \u00f6zellikle b\u00fcy\u00fck \u00f6l\u00e7ekli uygulamalarda bellek s\u0131z\u0131nt\u0131lar\u0131na ve performans sorunlar\u0131na yol a\u00e7abilir. Bu y\u00fczden heap kullan\u0131m\u0131 ve GC davran\u0131\u015f\u0131n\u0131 anlamak \u00f6nemlidir.<\/p>\n<h3>Go&#8217;nun \u00c7\u00f6p Toplay\u0131c\u0131s\u0131 (Garbage Collector &#8211; GC) Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/h3>\n<p>Go&#8217;nun GC&#8217;si, bellek y\u00f6netimini b\u00fcy\u00fck \u00f6l\u00e7\u00fcde basitle\u015ftiren ve geli\u015ftiricinin manuel bellek y\u00f6netimi y\u00fck\u00fcn\u00fc ortadan kald\u0131ran otomatik bir sistemdir. Go 1.5&#8217;ten itibaren, e\u015fzamanl\u0131, tri-color mark-sweep algoritmas\u0131 kullanan d\u00fc\u015f\u00fck gecikmeli bir GC&#8217;ye sahiptir. Bu GC, uygulamay\u0131 duraklatma (stop-the-world) s\u00fcrelerini minimize ederek neredeyse hi\u00e7 duraksamas\u0131z \u00e7al\u0131\u015f\u0131r ve Go&#8217;nun y\u00fcksek performansl\u0131 e\u015fzamanl\u0131 uygulamalar yazma yetene\u011fini destekler. Temel \u00e7al\u0131\u015fma prensipleri \u015funlard\u0131r:<\/p>\n<ol>\n<li><strong>Mark (\u0130\u015faretleme):<\/strong> GC, k\u00f6k nesnelerden (stack&#8217;teki de\u011fi\u015fkenler, global de\u011fi\u015fkenler vb.) ba\u015flayarak eri\u015filebilen t\u00fcm nesneleri i\u015faretler. Bu ad\u0131m, uygulama koduyla e\u015fzamanl\u0131 olarak ger\u00e7ekle\u015fir, bu da uygulaman\u0131n \u00e7al\u0131\u015fmaya devam etti\u011fi anlam\u0131na gelir.<\/li>\n<li><strong>Sweep (Temizleme):<\/strong> \u0130\u015faretlenmemi\u015f t\u00fcm nesneler (yani art\u0131k kullan\u0131lmayan veya eri\u015filemeyen bellek) serbest b\u0131rak\u0131l\u0131r ve bellek tekrar kullan\u0131ma a\u00e7\u0131l\u0131r. Bu i\u015flem de yine uygulama kodunun \u00e7al\u0131\u015fmas\u0131yla e\u015fzamanl\u0131 olarak yap\u0131labilir, b\u00f6ylece uygulaman\u0131n gecikme s\u00fcresi minimumda tutulur.<\/li>\n<\/ol>\n<p>GC, belirli bir bellek kullan\u0131m e\u015fi\u011fine ula\u015f\u0131ld\u0131\u011f\u0131nda otomatik olarak tetiklenir. Bu e\u015fik, canl\u0131 (hala kullan\u0131lan) bellek miktar\u0131n\u0131n belirli bir y\u00fczdesi (varsay\u0131lan olarak %100) olarak ayarlan\u0131r. Yani, canl\u0131 bellek miktar\u0131 iki kat\u0131na \u00e7\u0131kt\u0131\u011f\u0131nda GC \u00e7al\u0131\u015f\u0131r. Bu e\u015fik, <code>GOGC<\/code> ortam de\u011fi\u015fkeni ile yap\u0131land\u0131r\u0131labilir. Ancak GC&#8217;nin ne zaman \u00e7al\u0131\u015faca\u011f\u0131 \u00fczerinde tam kontrol sahibi olsan\u0131z bile, yanl\u0131\u015f kullan\u0131m yine de bellek sorunlar\u0131na yol a\u00e7abilir ve dikkatli y\u00f6netim gerektirir.<\/p>\n<p>Bellek s\u0131z\u0131nt\u0131lar\u0131, heap \u00fczerinde ayr\u0131lan ancak art\u0131k kullan\u0131lmayan (eri\u015filemeyen) nesnelerin GC taraf\u0131ndan toplanamamas\u0131 durumunda ortaya \u00e7\u0131kar. Bu durum, genellikle nesnelerin referanslar\u0131n\u0131n beklenenden daha uzun s\u00fcre tutulmas\u0131, \u00f6rne\u011fin, bir map&#8217;e s\u00fcrekli eleman eklenmesi ancak hi\u00e7bir zaman silinmemesi veya kapat\u0131lmam\u0131\u015f bir kanal \u00fczerinden Goroutine&#8217;lerin tak\u0131l\u0131 kalmas\u0131 gibi senaryolarda g\u00f6r\u00fcl\u00fcr. Bellek s\u0131z\u0131nt\u0131lar\u0131, uygulaman\u0131n bellek kullan\u0131m\u0131n\u0131 zamanla istikrarl\u0131 bir \u015fekilde art\u0131rarak performans d\u00fc\u015f\u00fc\u015f\u00fcne ve nihayetinde &#8220;out of memory&#8221; (bellek yetersizli\u011fi) hatalar\u0131na yol a\u00e7ar. Bu y\u00fczden Go&#8217;da bellek y\u00f6netimi ve stres testi, uygulaman\u0131z\u0131n uzun \u00f6m\u00fcrl\u00fc ve performansl\u0131 olmas\u0131 i\u00e7in hayati \u00f6neme sahiptir.<\/p>\n<h2>Go Uygulamalar\u0131nda Bellek Stres Testi Nas\u0131l Yap\u0131l\u0131r?<\/h2>\n<p>Go uygulamalar\u0131n\u0131z\u0131n bellek davran\u0131\u015f\u0131n\u0131 anlamak ve olas\u0131 zay\u0131fl\u0131klar\u0131 ortaya \u00e7\u0131karmak i\u00e7in bellek stres testi kritik \u00f6neme sahiptir. Bu b\u00f6l\u00fcmde, yapay bellek y\u00fck\u00fc olu\u015fturma tekniklerinden ba\u015flayarak, Go&#8217;nun yerle\u015fik profil arac\u0131 olan <code>pprof<\/code> ile bellek s\u0131z\u0131nt\u0131lar\u0131n\u0131 nas\u0131l tespit edebilece\u011finizi ad\u0131m ad\u0131m \u00f6\u011frenece\u011fiz. Bu bilgiler, uygulaman\u0131z\u0131n y\u00fcksek y\u00fckl\u00fc senaryolarda dahi kararl\u0131 kalmas\u0131na yard\u0131mc\u0131 olacakt\u0131r.<\/p>\n<h3>Yapay Bellek Y\u00fck\u00fc Olu\u015fturma Teknikleri Nelerdir?<\/h3>\n<p>Bellek stres testi yapman\u0131n ilk ad\u0131m\u0131, uygulaman\u0131z\u0131 y\u00fcksek bellek t\u00fcketimi senaryolar\u0131na sokmakt\u0131r. Bunu yapman\u0131n en kolay yolu, Go&#8217;nun veri yap\u0131lar\u0131n\u0131 kullanarak kas\u0131tl\u0131 olarak b\u00fcy\u00fck miktarda bellek tahsis etmektir. \u00d6zellikle slice&#8217;lar, map&#8217;ler ve b\u00fcy\u00fck struct&#8217;lar bellek t\u00fcketimini art\u0131rmak i\u00e7in etkili ara\u00e7lard\u0131r. A\u015fa\u011f\u0131daki \u00f6rnek, s\u00fcrekli olarak b\u00fcy\u00fck bir byte slice&#8217;\u0131 olu\u015fturarak ve bunu global bir de\u011fi\u015fkende tutarak bellek kullan\u0131m\u0131n\u0131 yapay olarak art\u0131ran basit bir Go program\u0131n\u0131 g\u00f6stermektedir. Bu, GC&#8217;nin daha s\u0131k \u00e7al\u0131\u015fmas\u0131na neden olarak GC performans\u0131n\u0131 da test etme imkan\u0131 sunar.<\/p>\n<pre><code>\npackage main\n\nimport (\n\t\"fmt\"\n\t\"runtime\"\n\t\"time\"\n)\n\nvar globalMemory []byte \/\/ Global olarak tutulan bellek\n\nfunc allocateMemory(sizeMB int) {\n\tfmt.Printf(\"Bellek ayr\u0131l\u0131yor: %d MB\\n\", sizeMB)\n\t\/\/ Yeni bir bellek blo\u011fu ay\u0131r ve eskisini \u00fczerine yaz\n\t\/\/ Eski blo\u011fun GC taraf\u0131ndan toplanabilmesi i\u00e7in referans\u0131n\u0131 kaybedecek\n\tglobalMemory = make([]byte, sizeMB*1024*1024)\n\tfor i := 0; i < len(globalMemory); i++ {\n\t\tglobalMemory[i] = byte(i % 256) \/\/ Verileri doldur\n\t}\n\tfmt.Printf(\"Bellek ayr\u0131ld\u0131, boyutu: %d MB\\n\", len(globalMemory)\/(1024*1024))\n}\n\nfunc printMemoryStats() {\n\tvar m runtime.MemStats\n\truntime.ReadMemStats(&#038;m)\n\t\/\/ Bellek istatistiklerini MB cinsinden yazd\u0131r\n\tfmt.Printf(\"Heap Alloc: %v MB, Sys: %v MB, NumGC: %v\\n\",\n\t\tm.HeapAlloc\/(1024*1024), m.Sys\/(1024*1024), m.NumGC)\n}\n\nfunc main() {\n\tfmt.Println(\"Bellek stres testi ba\u015fl\u0131yor...\")\n\n\t\/\/ \u0130lk bellek istatistiklerini yazd\u0131r\n\tprintMemoryStats()\n\n\t\/\/ 100 MB bellek ay\u0131r ve tut\n\tallocateMemory(100)\n\tprintMemoryStats()\n\ttime.Sleep(2 * time.Second) \/\/ GC'ye zaman tan\u0131\n\n\t\/\/ Daha b\u00fcy\u00fck bir blok ay\u0131r (\u00f6rne\u011fin 500 MB)\n\tallocateMemory(500)\n\tprintMemoryStats()\n\ttime.Sleep(2 * time.Second)\n\n\t\/\/ Ba\u015fka bir blok ay\u0131r (\u00f6rne\u011fin 1 GB)\n\tallocateMemory(1024)\n\tprintMemoryStats()\n\ttime.Sleep(5 * time.Second) \/\/ Daha uzun s\u00fcre bekle\n\n\tfmt.Println(\"Bellek stres testi tamamland\u0131.\")\n}\n    <\/pre>\n<p><\/code><\/p>\n<p>Bu kodda, <code>globalMemory<\/code> slice'\u0131n\u0131 s\u00fcrekli g\u00fcncelleyerek Go \u00e7al\u0131\u015fma zaman\u0131n\u0131n yeni bellek ay\u0131rmas\u0131n\u0131 sa\u011fl\u0131yoruz. <code>runtime.MemStats<\/code> yap\u0131s\u0131, Go uygulaman\u0131z\u0131n bellek kullan\u0131m\u0131 hakk\u0131nda anl\u0131k bilgiler edinmenizi sa\u011flar. \u00d6zellikle <code>HeapAlloc<\/code>, uygulaman\u0131n heap \u00fczerinde ay\u0131rd\u0131\u011f\u0131 toplam bellek miktar\u0131n\u0131 g\u00f6sterirken, <code>Sys<\/code>, i\u015fletim sisteminden ne kadar bellek talep edildi\u011fini belirtir. Bu de\u011ferleri d\u00fczenli olarak kontrol ederek uygulaman\u0131z\u0131n bellek e\u011filimini takip edebilirsiniz ve anormallikleri tespit etme \u015fans\u0131n\u0131z olur.<\/p>\n<div class=\"expert-tip\">\n        <strong>Uzman \u0130pucu:<\/strong> Y\u00fcksek y\u00fckl\u00fc bir servis ortam\u0131nda ger\u00e7ek\u00e7i bir stres testi i\u00e7in sadece statik bellek ay\u0131rmak yerine, e\u015fzamanl\u0131 olarak bir\u00e7ok Goroutine olu\u015fturup her birinin dinamik bellek ay\u0131rmas\u0131n\u0131 sim\u00fcle edebilirsiniz. \u00d6rne\u011fin, her Goroutine'in belirli bir s\u00fcre boyunca bir d\u00f6ng\u00fcde rastgele boyutlarda slice'lar olu\u015fturup b\u0131rakmas\u0131n\u0131 sa\u011flay\u0131n. Bu, GC \u00fczerindeki bask\u0131y\u0131 art\u0131rarak ger\u00e7ek d\u00fcnya senaryolar\u0131n\u0131 daha iyi yans\u0131t\u0131r ve uygulaman\u0131z\u0131n bellek y\u00f6netimi konusundaki dayan\u0131kl\u0131l\u0131\u011f\u0131n\u0131 g\u00f6sterir.\n    <\/div>\n<h3><code>pprof<\/code> ile Bellek Profilleme ve S\u0131z\u0131nt\u0131 Tespiti Nas\u0131l Ger\u00e7ekle\u015fir?<\/h3>\n<p>Go'nun en g\u00fc\u00e7l\u00fc ara\u00e7lar\u0131ndan biri olan <code>pprof<\/code>, uygulaman\u0131z\u0131n performans sorunlar\u0131n\u0131 (CPU, bellek, Goroutine bloklamas\u0131 vb.) tespit etmek i\u00e7in kullan\u0131l\u0131r. \u00d6zellikle bellek s\u0131z\u0131nt\u0131lar\u0131n\u0131 ve y\u00fcksek bellek t\u00fcketiminin nedenlerini bulmak i\u00e7in <code>pprof<\/code>'un heap profilleme \u00f6zelli\u011fi paha bi\u00e7ilmezdir. <code>net\/http\/pprof<\/code> paketi sayesinde, uygulaman\u0131za kolayca bir HTTP endpoint'i ekleyerek \u00e7al\u0131\u015fma zaman\u0131nda profil verileri toplayabilirsiniz. Bu, \u00f6zellikle \u00fcretim ortam\u0131nda \u00e7al\u0131\u015fan servisler i\u00e7in harika bir izleme ve hata ay\u0131klama arac\u0131d\u0131r.<\/p>\n<p>\u0130lk olarak, uygulaman\u0131za <code>pprof<\/code> entegrasyonu yapman\u0131z gerekir. Basit bir web servisi \u00f6rne\u011fi \u00fczerinden bu entegrasyonu g\u00f6relim:<\/p>\n<pre><code>\npackage main\n\nimport (\n\t\"fmt\"\n\t\"log\"\n\t\"net\/http\"\n\t_ \"net\/http\/pprof\" \/\/ pprof handler'lar\u0131n\u0131 ekler\n\t\"time\"\n)\n\nvar data []byte\n\nfunc allocateMemoryHandler(w http.ResponseWriter, r *http.Request) {\n\tsizeMB := 100 \/\/ Her istekte 100 MB bellek ay\u0131r\n\tdata = make([]byte, sizeMB*1024*1024)\n\tfor i := 0; i < len(data); i++ {\n\t\tdata[i] = byte(i % 256)\n\t}\n\tfmt.Fprintf(w, \"Ay\u0131r\u0131lan bellek: %d MB\\n\", sizeMB)\n}\n\nfunc main() {\n\thttp.HandleFunc(\"\/allocate\", allocateMemoryHandler)\n\tlog.Fatal(http.ListenAndServe(\":8080\", nil))\n}\n    <\/pre>\n<p><\/code><\/p>\n<p>Bu kodu \u00e7al\u0131\u015ft\u0131rd\u0131ktan sonra, taray\u0131c\u0131n\u0131zdan <code>http:\/\/localhost:8080\/debug\/pprof\/<\/code> adresine giderek \u00e7e\u015fitli profilleri g\u00f6rebilirsiniz. Bellek (heap) profili i\u00e7in <code>http:\/\/localhost:8080\/debug\/pprof\/heap<\/code> adresini ziyaret edebilirsiniz. Ancak as\u0131l g\u00fcc\u00fc, <code>go tool pprof<\/code> komutuyla bu verileri analiz etmektir. Bu ara\u00e7, g\u00f6rselle\u015ftirme ve detayl\u0131 inceleme yetenekleri sunar.<\/p>\n<p>Uygulaman\u0131z \u00e7al\u0131\u015f\u0131rken, farkl\u0131 zamanlarda bellek profillerini alabiliriz. \u00d6rne\u011fin, birka\u00e7 <code>\/allocate<\/code> iste\u011fi g\u00f6nderdikten sonra:<\/p>\n<ol>\n<li>Uygulaman\u0131z\u0131 ba\u015flat\u0131n: <code>go run your_app.go<\/code><\/li>\n<li>Birka\u00e7 kez bellek ay\u0131rma endpoint'ini \u00e7a\u011f\u0131r\u0131n: <code>curl http:\/\/localhost:8080\/allocate<\/code><\/li>\n<li>Profil verilerini al\u0131n: <code>go tool pprof http:\/\/localhost:8080\/debug\/pprof\/heap<\/code><\/li>\n<\/ol>\n<p>Bu komutu \u00e7al\u0131\u015ft\u0131rd\u0131\u011f\u0131n\u0131zda, <code>pprof<\/code> interaktif bir komut sat\u0131r\u0131 aray\u00fcz\u00fc ba\u015flat\u0131r. Burada kullanabilece\u011finiz baz\u0131 \u00f6nemli komutlar \u015funlard\u0131r:<\/p>\n<ul>\n<li><code>top N<\/code>: En \u00e7ok bellek t\u00fcketen N fonksiyonu listeler. Bu, bellek yo\u011funlu\u011funu h\u0131zl\u0131ca g\u00f6sterir.<\/li>\n<li><code>list <function_name><\/code>: Belirtilen fonksiyonun kaynak kodunu g\u00f6sterir ve bellek ay\u0131rma noktalar\u0131n\u0131 vurgular. Bu sayede tam olarak hangi sat\u0131r\u0131n bellek ay\u0131rd\u0131\u011f\u0131n\u0131 g\u00f6rebilirsiniz.<\/li>\n<li><code>web<\/code>: Bir SVG grafik olarak \u00e7a\u011fr\u0131 grafi\u011fini (call graph) olu\u015fturur ve taray\u0131c\u0131n\u0131zda a\u00e7ar. Bu, bellek ay\u0131rmalar\u0131n\u0131n ak\u0131\u015f\u0131n\u0131 g\u00f6rselle\u015ftirmek i\u00e7in \u00e7ok etkilidir. Graphviz kurulu olmas\u0131 gerekir.<\/li>\n<li><code>peek <regex><\/code>: Y\u0131\u011f\u0131na uygun belirli bir regex ile e\u015fle\u015fen bellek ayr\u0131m noktalar\u0131n\u0131 g\u00f6sterir.<\/li>\n<li><code>diff <profile1> <profile2><\/code>: \u0130ki farkl\u0131 zaman diliminde al\u0131nan profiller aras\u0131ndaki fark\u0131 g\u00f6stererek bellek s\u0131z\u0131nt\u0131lar\u0131n\u0131 tespit etmenizi kolayla\u015ft\u0131r\u0131r. Bu, zamanla artan bellek t\u00fcketimini izlemek i\u00e7in hayati bir \u00f6zelliktir.<\/li>\n<\/ul>\n<p>\u00d6zellikle <code>web<\/code> komutu ile olu\u015fturulan g\u00f6rselle\u015ftirme, uygulaman\u0131zdaki bellek ay\u0131rma hotspots'lar\u0131n\u0131 (s\u0131cak noktalar\u0131n\u0131) ve hangi kod yollar\u0131n\u0131n en \u00e7ok bellek t\u00fcketti\u011fini h\u0131zl\u0131ca anlaman\u0131za yard\u0131mc\u0131 olur. Kal\u0131n oklar ve b\u00fcy\u00fck kutular, \u00f6nemli bellek t\u00fcketim noktalar\u0131n\u0131 i\u015faret eder. Bu sayede, uygulaman\u0131z\u0131n neresinde bellek s\u0131z\u0131nt\u0131s\u0131 olabilece\u011fini veya nerede daha verimli bellek kullan\u0131m\u0131 sa\u011flayabilece\u011finizi rahatl\u0131kla g\u00f6rebilirsiniz. Bu g\u00f6rselle\u015ftirme, karma\u015f\u0131k \u00e7a\u011fr\u0131 y\u0131\u011f\u0131nlar\u0131n\u0131 de\u015fifre etmede \u00e7ok yard\u0131mc\u0131d\u0131r.<\/p>\n<h2>\u0130leri D\u00fczey Optimizasyon: Bellek T\u00fcketimini Azaltmak \u0130\u00e7in Geli\u015fmi\u015f Stratejiler Nelerdir?<\/h2>\n<p>Go uygulaman\u0131z\u0131n bellek stres testlerini ba\u015far\u0131yla ge\u00e7mesini sa\u011flamak i\u00e7in, temel profil tekniklerinin \u00f6tesine ge\u00e7erek baz\u0131 geli\u015fmi\u015f optimizasyon stratejilerini de uygulaman\u0131z gerekebilir. Bu b\u00f6l\u00fcmde, Go Garbage Collector (GC) ayarlar\u0131n\u0131 optimize etmekten, e\u015fzamanl\u0131 bellek kullan\u0131m\u0131n\u0131 daha verimli hale getirmeye kadar \u00e7e\u015fitli ipu\u00e7lar\u0131n\u0131 ele alaca\u011f\u0131z. Bu stratejiler, \u00f6zellikle y\u00fcksek performans ve d\u00fc\u015f\u00fck gecikme s\u00fcresi gerektiren kritik sistemlerde fark yaratabilir.<\/p>\n<h3>Go Garbage Collector Ayarlar\u0131 ve Performans \u0130pu\u00e7lar\u0131 Nelerdir?<\/h3>\n<p>Go'nun \u00e7\u00f6p toplay\u0131c\u0131s\u0131 genellikle iyi i\u015f \u00e7\u0131karsa da, baz\u0131 \u00f6zel senaryolarda manuel ince ayarlar performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir. Go GC'sini etkileyen ba\u015fl\u0131ca ortam de\u011fi\u015fkenleri \u015funlard\u0131r:<\/p>\n<ul>\n<li><strong><code>GOGC<\/code>:<\/strong> Bu de\u011fi\u015fken, canl\u0131 (eri\u015filebilir) heap belle\u011finin boyutu y\u00fczde olarak ne kadar artt\u0131\u011f\u0131nda GC'nin tetiklenece\u011fini belirler. Varsay\u0131lan de\u011feri 100'd\u00fcr, yani canl\u0131 bellek iki kat\u0131na \u00e7\u0131kt\u0131\u011f\u0131nda GC \u00e7al\u0131\u015f\u0131r. E\u011fer daha az gecikme s\u00fcresi (latency) istiyorsan\u0131z ve daha fazla bellek kullanmaktan \u00e7ekinmiyorsan\u0131z <code>GOGC<\/code>'yi d\u00fc\u015f\u00fcrebilirsiniz (\u00f6rne\u011fin 50). Bu, GC'nin daha s\u0131k \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flayacak ve daha k\u00fc\u00e7\u00fck duraklamalara yol a\u00e7acakt\u0131r. Tam tersi, e\u011fer bellek k\u0131s\u0131tlamalar\u0131n\u0131z varsa ve GC'nin daha az \u00e7al\u0131\u015fmas\u0131n\u0131 istiyorsan\u0131z, <code>GOGC<\/code>'yi art\u0131rabilirsiniz (\u00f6rne\u011fin 200). Ancak bu, GC'nin daha uzun s\u00fcreli duraklamalar yapmas\u0131na neden olabilir.<\/li>\n<li><strong><code>GOMEMLIMIT<\/code>:<\/strong> Go 1.19 ile birlikte gelen bu de\u011fi\u015fken, Go \u00e7al\u0131\u015fma zaman\u0131n\u0131n kullanabilece\u011fi toplam fiziksel bellek miktar\u0131n\u0131 bayt cinsinden s\u0131n\u0131rlar. Bu \u00f6zellik, \u00f6zellikle container ortamlar\u0131nda veya bellek kaynaklar\u0131n\u0131n s\u0131k\u0131 oldu\u011fu yerlerde \u00e7ok faydal\u0131d\u0131r. <code>GOMEMLIMIT<\/code>, GC'nin daha proaktif \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flayarak uygulaman\u0131z\u0131n belirlenen bellek s\u0131n\u0131r\u0131n\u0131 a\u015fmas\u0131n\u0131 engeller. \u00d6rne\u011fin, <code>GOMEMLIMIT=100MiB<\/code> olarak ayarlamak, Go uygulamas\u0131n\u0131n 100 megabayt bellek kullan\u0131m\u0131n\u0131 ge\u00e7memesini sa\u011flamaya \u00e7al\u0131\u015facakt\u0131r.<\/li>\n<\/ul>\n<p>GC ayarlar\u0131n\u0131n yan\u0131 s\u0131ra, bellek verimlili\u011fini art\u0131rmak i\u00e7in genel Go programlama pratikleri de bulunur:<\/p>\n<ul>\n<li><strong><code>sync.Pool<\/code> Kullan\u0131m\u0131:<\/strong> \u00d6zellikle s\u0131k\u00e7a olu\u015fturulan ve yok edilen nesneler i\u00e7in <code>sync.Pool<\/code> kullanmak, GC y\u00fck\u00fcn\u00fc azaltabilir. <code>sync.Pool<\/code>, yeniden kullan\u0131labilir nesnelerin bir havuzunu sa\u011flar. Bir nesneye ihtiyac\u0131n\u0131z oldu\u011funda havuzdan al\u0131rs\u0131n\u0131z, i\u015finiz bitti\u011finde havuza geri koyars\u0131n\u0131z. Bu sayede, her seferinde yeni bir nesne tahsis etmek ve GC'nin onu temizlemesini beklemek yerine, mevcut nesneler yeniden kullan\u0131l\u0131r. Ancak, <code>sync.Pool<\/code>'daki nesnelerin GC taraf\u0131ndan her zaman toplanabilece\u011fini unutmay\u0131n; bu nedenle durumu (state) olmayan veya kolayca s\u0131f\u0131rlanabilen nesneler i\u00e7in daha uygundur.<\/li>\n<li><strong>Pointer'dan Ka\u00e7\u0131nma (De\u011fer Tipleri):<\/strong> E\u011fer nesneleriniz k\u00fc\u00e7\u00fckse ve genellikle kopyalanmalar\u0131 sorun yaratm\u0131yorsa, pointer yerine de\u011fer tipleri kullanmak performans\u0131 art\u0131rabilir. Pointer'lar, heap \u00fczerinde bellek ay\u0131rma maliyeti getirirken, de\u011fer tipleri genellikle stack \u00fczerinde ya\u015far ve GC taraf\u0131ndan y\u00f6netilmez. Bu da GC \u00fczerindeki y\u00fck\u00fc azalt\u0131r. Ancak b\u00fcy\u00fck nesnelerde bu durum tersine d\u00f6nebilir, \u00e7\u00fcnk\u00fc kopyalama maliyeti, heap ay\u0131rma maliyetini a\u015fabilir.<\/li>\n<li><strong>Minimum Bellek Ay\u0131rma:<\/strong> Her zaman m\u00fcmk\u00fcn olan en az bellek miktar\u0131n\u0131 ay\u0131rmaya \u00e7al\u0131\u015f\u0131n. \u00d6rne\u011fin, bir slice'\u0131n kapasitesini \u00f6nceden biliyorsan\u0131z, <code>make([]T, length, capacity)<\/code> kullanarak gereksiz yeniden tahsisleri \u00f6nleyebilirsiniz.<\/li>\n<\/ul>\n<h3>Go'da E\u015fzamanl\u0131 Bellek Kullan\u0131m\u0131 ve Goroutine Y\u00f6netimi Nas\u0131l Yap\u0131l\u0131r?<\/h3>\n<p>Go'nun e\u015fzamanl\u0131l\u0131k modeli (Goroutine'ler ve Kanallar) g\u00fc\u00e7l\u00fc olsa da, yanl\u0131\u015f kullan\u0131ld\u0131\u011f\u0131nda bellek s\u0131z\u0131nt\u0131lar\u0131na veya performans sorunlar\u0131na yol a\u00e7abilir. \u00d6zellikle \"Goroutine s\u0131z\u0131nt\u0131lar\u0131\" bellek t\u00fcketiminin ana nedenlerinden biri olabilir.<\/p>\n<p><strong>Goroutine S\u0131z\u0131nt\u0131lar\u0131:<\/strong> Bir Goroutine, i\u015fini bitirdikten sonra d\u00fczg\u00fcn bir \u015fekilde sonlanmazsa, bu bir Goroutine s\u0131z\u0131nt\u0131s\u0131na yol a\u00e7ar. Bu s\u0131zan Goroutine'ler, kulland\u0131klar\u0131 stack belle\u011fini ve referans tuttuklar\u0131 heap nesnelerini serbest b\u0131rakmazlar. Tipik senaryolar aras\u0131nda, kapat\u0131lmayan kanallarda sonsuza dek bekleyen Goroutine'ler veya bir hata durumunda temizlenmeyen worker Goroutine'ler bulunur. Bu durumu tespit etmek i\u00e7in <code>pprof<\/code>'un Goroutine profillerini kullanabilir ve tak\u0131l\u0131 kalan Goroutine'lerin \u00e7a\u011fr\u0131 y\u0131\u011f\u0131nlar\u0131n\u0131 inceleyebilirsiniz.<\/p>\n<p><strong>\u00c7\u00f6z\u00fcm:<\/strong> Goroutine'lerin ya\u015fam d\u00f6ng\u00fclerini dikkatlice y\u00f6netmek i\u00e7in <code>context.Context<\/code> veya <code>sync.WaitGroup<\/code> gibi mekanizmalar\u0131 kullan\u0131n. Kanallar\u0131 her zaman kapatmay\u0131 veya kanallar\u0131n beklendi\u011fi gibi kapanmas\u0131n\u0131 sa\u011flayacak sinyalleme mekanizmalar\u0131n\u0131 kurmay\u0131 unutmay\u0131n. A\u015fa\u011f\u0131daki \u00f6rnek, <code>context.Context<\/code> kullanarak Goroutine'lerin d\u00fczg\u00fcn bir \u015fekilde sonland\u0131r\u0131lmas\u0131n\u0131 nas\u0131l sa\u011flayabilece\u011finizi g\u00f6stermektedir. Bu, Goroutine s\u0131z\u0131nt\u0131lar\u0131n\u0131 \u00f6nlemenin etkili bir yoludur.<\/p>\n<pre><code>\npackage main\n\nimport (\n\t\"context\"\n\t\"fmt\"\n\t\"time\"\n)\n\nfunc worker(ctx context.Context, id int) {\n\tdefer fmt.Printf(\"Worker %d: Sonland\u0131.\\n\", id)\n\tfor {\n\t\tselect {\n\t\tcase <-ctx.Done(): \/\/ Context iptal edildi\u011finde \u00e7\u0131k\n\t\t\tfmt.Printf(\"Worker %d: \u0130ptal sinyali al\u0131nd\u0131.\\n\", id)\n\t\t\treturn\n\t\tdefault:\n\t\t\t\/\/ \u0130\u015f yap\n\t\t\ttime.Sleep(50 * time.Millisecond)\n\t\t\t\/\/ fmt.Printf(\"Worker %d: \u00c7al\u0131\u015f\u0131yor...\\n\", id) \/\/ \u00c7ok fazla \u00e7\u0131kt\u0131 olmamas\u0131 i\u00e7in yorum sat\u0131r\u0131nda\n\t\t}\n\t}\n}\n\nfunc main() {\n\tctx, cancel := context.WithCancel(context.Background())\n\tdefer cancel() \/\/ main fonksiyonu bitti\u011finde context'i iptal et\n\n\tfor i := 1; i <= 3; i++ {\n\t\tgo worker(ctx, i)\n\t}\n\n\ttime.Sleep(2 * time.Second) \/\/ Worker'lar\u0131n bir s\u00fcre \u00e7al\u0131\u015fmas\u0131na izin ver\n\tfmt.Println(\"Main: Worker'lar\u0131 iptal ediyor.\")\n\tcancel() \/\/ T\u00fcm worker'lara iptal sinyali g\u00f6nder\n\n\ttime.Sleep(1 * time.Second) \/\/ Worker'lar\u0131n sonlanmas\u0131 i\u00e7in bekle\n\tfmt.Println(\"Main: Tamamland\u0131.\")\n}\n    <\/pre>\n<p><\/code><\/p>\n<p><strong>Ba\u011flant\u0131\/\u0130\u015f Havuzlar\u0131 (Connection\/Worker Pools):<\/strong> Veritaban\u0131 ba\u011flant\u0131lar\u0131, HTTP istemcileri veya di\u011fer pahal\u0131 kaynaklar i\u00e7in havuzlama kullanmak, bellek ve CPU maliyetlerini d\u00fc\u015f\u00fcrebilir. Havuzlar, belirli bir say\u0131da kayna\u011f\u0131 \u00f6nceden ay\u0131r\u0131r ve yeniden kullan\u0131m\u0131n\u0131 sa\u011flar. Bu, her istek i\u00e7in yeni kaynaklar olu\u015fturma ve temizleme y\u00fck\u00fcn\u00fc ortadan kald\u0131r\u0131r. Bu yakla\u015f\u0131m, e\u015fzamanl\u0131l\u0131k alt\u0131nda bellek t\u00fcketimini dengelemeye yard\u0131mc\u0131 olur ve genel sistem kararl\u0131l\u0131\u011f\u0131n\u0131 art\u0131r\u0131r.<\/p>\n<h2>Vaka \u00c7al\u0131\u015fmas\u0131: Y\u00fcksek Y\u00fckl\u00fc Bir Serviste Bellek S\u0131z\u0131nt\u0131s\u0131 Nas\u0131l Tespit Edilip Giderilir?<\/h2>\n<p>Bir e-ticaret platformunun sipari\u015f i\u015fleme servisinde, zamanla bellek t\u00fcketiminin s\u00fcrekli artt\u0131\u011f\u0131 ve birka\u00e7 g\u00fcn i\u00e7inde servisin \"out of memory\" hatas\u0131 vererek \u00e7\u00f6kt\u00fc\u011f\u00fc bir senaryoyu ele alal\u0131m. Servis, Go ile yaz\u0131lm\u0131\u015f ve y\u00fcksek hacimli sipari\u015f kay\u0131tlar\u0131n\u0131 bir veritaban\u0131na yazmakla g\u00f6revliydi. \u0130lk ba\u015fta her \u015fey yolundayd\u0131, ancak artan sipari\u015f hacmiyle birlikte bellek sorunu daha da belirgin hale geldi ve servisin genel yan\u0131t s\u00fcresini olumsuz etkiledi.<\/p>\n<p><strong>Sorun Tespiti:<\/strong><br \/>\n    \u0130lk ad\u0131m olarak, servise <code>net\/http\/pprof<\/code> entegrasyonu yap\u0131ld\u0131 ve \u00fcretim ortam\u0131nda (ancak daha d\u00fc\u015f\u00fck bir y\u00fck alt\u0131nda) bellek profilleri toplanmaya ba\u015fland\u0131. D\u00fczenli aral\u0131klarla (\u00f6rne\u011fin her 30 dakikada bir) <code>http:\/\/<servis_adresi>\/debug\/pprof\/heap?debug=1<\/code> endpoint'inden heap profilleri \u00e7ekildi. Bu profiller, <code>go tool pprof<\/code> ile g\u00f6rselle\u015ftirildi. \u0130lk profillerde sorun a\u00e7\u0131k\u00e7a g\u00f6r\u00fclmese de, birka\u00e7 saat sonra al\u0131nan profiller aras\u0131nda <code>go tool pprof --diff <profil_ilk> <profil_son><\/code> komutu ile fark al\u0131nd\u0131\u011f\u0131nda, belirli bir kod yolunda s\u00fcrekli artan bellek tahsisleri g\u00f6ze \u00e7arpt\u0131. \u00d6zellikle bir <code>cache<\/code> paketi ile ilgili \u00e7a\u011fr\u0131lar, heap \u00fczerindeki ayr\u0131lan bellek miktar\u0131n\u0131n istikrarl\u0131 bir \u015fekilde artt\u0131\u011f\u0131n\u0131 g\u00f6steriyordu.<\/p>\n<p><strong>K\u00f6k Neden Analizi:<\/strong><br \/>\n    <code>pprof<\/code> \u00e7\u0131kt\u0131s\u0131nda en \u00e7ok bellek t\u00fcketen fonksiyonlar aras\u0131nda, bir sipari\u015f i\u015fleme ad\u0131m\u0131nda kullan\u0131lan bir cache mekanizmas\u0131 (<code>map[string]interface{}<\/code>) dikkat \u00e7ekti. \u00c7a\u011fr\u0131 grafi\u011fine (<code>pprof -web<\/code>) bak\u0131ld\u0131\u011f\u0131nda, <code>cache.Set(key, value)<\/code> fonksiyonunun bellek t\u00fcketiminde s\u00fcrekli art\u0131\u015fa neden oldu\u011fu g\u00f6r\u00fcld\u00fc. Detayl\u0131 kod incelemesi yap\u0131ld\u0131\u011f\u0131nda, bu cache'in sipari\u015fin baz\u0131 meta verilerini tutmak i\u00e7in kullan\u0131ld\u0131\u011f\u0131 ancak TTL (Time-To-Live) veya LRU (Least Recently Used) politikas\u0131 gibi bir temizleme mekanizmas\u0131n\u0131n olmad\u0131\u011f\u0131 anla\u015f\u0131ld\u0131. Her yeni sipari\u015f i\u00e7in cache'e yeni bir girdi ekleniyor, ancak eski girdiler hi\u00e7bir zaman silinmiyordu. Bu durum, cache'in s\u0131n\u0131rs\u0131z b\u00fcy\u00fcmesine ve dolay\u0131s\u0131yla bellek s\u0131z\u0131nt\u0131s\u0131na yol a\u00e7\u0131yordu. Cache'deki \u00f6\u011felerin say\u0131s\u0131 zamanla artt\u0131k\u00e7a, GC'nin temizlemesi gereken nesneler de art\u0131yor ve bu da GC duraklama s\u00fcrelerini uzatarak genel performans\u0131 d\u00fc\u015f\u00fcr\u00fcyordu.<\/p>\n<p><strong>\u00c7\u00f6z\u00fcm ve Optimizasyon:<\/strong><br \/>\n    Bellek s\u0131z\u0131nt\u0131s\u0131n\u0131n k\u00f6k nedeni anla\u015f\u0131ld\u0131ktan sonra, <code>map[string]interface{}<\/code> yerine, belirli bir boyutu veya ya\u015fam s\u00fcresi olan bir LRU cache k\u00fct\u00fcphanesi (\u00f6rne\u011fin, <code>github.com\/hashicorp\/golang-lru<\/code>) kullan\u0131lmaya karar verildi. Bu k\u00fct\u00fcphane entegre edildikten sonra, cache'in boyutu s\u0131n\u0131rland\u0131r\u0131ld\u0131 ve en az kullan\u0131lan \u00f6\u011feler otomatik olarak bellekten at\u0131lmaya ba\u015fland\u0131. Ek olarak, nadiren kullan\u0131lan veya kritik olmayan veriler i\u00e7in cacheleme yerine do\u011frudan veritaban\u0131 eri\u015fimi tercih edildi veya daha k\u00fc\u00e7\u00fck veri yap\u0131lar\u0131 kullan\u0131ld\u0131. Bu de\u011fi\u015fiklikler, uygulaman\u0131n bellek ayak izini \u00f6nemli \u00f6l\u00e7\u00fcde azaltt\u0131.<\/p>\n<p><strong>Sonu\u00e7lar:<\/strong><br \/>\n    Uygulama yeniden da\u011f\u0131t\u0131ld\u0131 ve yeni bellek profilleri topland\u0131. Sonu\u00e7lar \u00e7arp\u0131c\u0131yd\u0131: Servisin bellek t\u00fcketimi art\u0131k istikrarl\u0131 bir seviyede kal\u0131yor, zamanla artm\u0131yordu. Ortalama yan\u0131t s\u00fcreleri %15 oran\u0131nda iyile\u015fti ve \"out of memory\" hatalar\u0131 tamamen ortadan kalkt\u0131. Bu vaka \u00e7al\u0131\u015fmas\u0131, <code>pprof<\/code> gibi ara\u00e7lar\u0131n do\u011fru kullan\u0131ld\u0131\u011f\u0131nda bellek sorunlar\u0131n\u0131 tespit etme ve giderme konusunda ne kadar etkili oldu\u011funu a\u00e7\u0131k\u00e7a g\u00f6stermektedir. Proaktif bellek y\u00f6netimi ve d\u00fczenli profilleme, Go uygulamalar\u0131n\u0131n y\u00fcksek performansl\u0131 ve kararl\u0131 kalmas\u0131n\u0131n anahtar\u0131d\u0131r. Bu t\u00fcr bir yakla\u015f\u0131m, yaln\u0131zca mevcut sorunlar\u0131 \u00e7\u00f6zmekle kalmaz, ayn\u0131 zamanda gelecekteki performans sorunlar\u0131n\u0131 da \u00f6nlemeye yard\u0131mc\u0131 olur.<\/p>\n<div class=\"expert-tip\">\n        <strong>Uzman \u0130pucu:<\/strong> Ger\u00e7ek d\u00fcnya senaryolar\u0131nda, profil verilerini d\u00fczenli olarak otomatikle\u015ftirilmi\u015f bir \u015fekilde toplamak ve trendleri izlemek, bellek s\u0131z\u0131nt\u0131lar\u0131n\u0131 erkenden tespit etmek i\u00e7in kritik \u00f6neme sahiptir. Prometheus veya Grafana gibi izleme ara\u00e7lar\u0131 ile <code>pprof<\/code> verilerini entegre ederek anl\u0131k bellek kullan\u0131m grafiklerini olu\u015fturabilir, b\u00f6ylece potansiyel sorunlara daha h\u0131zl\u0131 m\u00fcdahale edebilirsiniz.\n    <\/div>\n<h2>Mobil Uyumlu Tasar\u0131m: Web Aray\u00fczleri \u0130\u00e7in Bellek Stres Testi Sonu\u00e7lar\u0131n\u0131 G\u00f6sterme<\/h2>\n<p>Go uygulaman\u0131z\u0131n bellek stres testi sonu\u00e7lar\u0131n\u0131 veya anl\u0131k performans metriklerini bir web aray\u00fcz\u00fc \u00fczerinden sunarken, bu aray\u00fcz\u00fcn mobil cihazlarda da eri\u015filebilir ve anla\u015f\u0131l\u0131r olmas\u0131 \u00f6nemlidir. \u00d6zellikle <code>pprof<\/code> veya \u00f6zel metrik verilerini g\u00f6steren tablolar ve grafikler, k\u00fc\u00e7\u00fck ekranlarda d\u00fczg\u00fcn g\u00f6r\u00fcnt\u00fclenmeyebilir ve kullan\u0131c\u0131 deneyimini olumsuz etkileyebilir. CSS media query'leri kullanarak bu t\u00fcr sorunlar\u0131n \u00f6n\u00fcne ge\u00e7ebilir ve kullan\u0131c\u0131 deneyimini iyile\u015ftirebilirsiniz. Bu, metriklerinizi her platformda okunabilir k\u0131lmak i\u00e7in modern web geli\u015ftirme prati\u011finin bir par\u00e7as\u0131d\u0131r.<\/p>\n<p>A\u015fa\u011f\u0131da, bir \u00f6rnek tablo ve bu tablonun mobil cihazlarda nas\u0131l daha iyi g\u00f6r\u00fcnt\u00fclenebilece\u011fine dair basit bir CSS medya sorgusu \u00f6rne\u011fi verilmi\u015ftir. Bu t\u00fcr bir yakla\u015f\u0131m, performans metriklerini listeleyen veya \u00e7a\u011fr\u0131 y\u0131\u011f\u0131nlar\u0131n\u0131 g\u00f6steren tablolar i\u00e7in kullan\u0131labilir, b\u00f6ylece karma\u015f\u0131k veriler bile k\u00fc\u00e7\u00fck ekranlarda d\u00fczenli bir \u015fekilde sunulabilir.<\/p>\n<pre><code>\n<style>\n\/* Varsay\u0131lan stil (masa\u00fcst\u00fc i\u00e7in) *\/\n.metrics-table {\n    width: 100%;\n    border-collapse: collapse;\n    margin-bottom: 20px;\n}\n.metrics-table th, .metrics-table td {\n    border: 1px solid #ddd;\n    padding: 8px;\n    text-align: left;\n}\n.metrics-table th {\n    background-color: #f2f2f2;\n    color: #333;\n}\n\n\/* Mobil cihazlar i\u00e7in medya sorgusu *\/\n@media (max-width: 600px) {\n    .metrics-table, .metrics-table tbody, .metrics-table tr, .metrics-table td {\n        display: block; \/* Tablo elemanlar\u0131n\u0131 blok olarak g\u00f6ster *\/\n    }\n    .metrics-table thead {\n        display: none; \/* Ba\u015fl\u0131klar\u0131 gizle *\/\n    }\n    .metrics-table tr {\n        margin-bottom: 10px;\n        border: 1px solid #ccc;\n        border-radius: 5px;\n        padding: 10px;\n    }\n    .metrics-table td {\n        border: none;\n        border-bottom: 1px solid #eee;\n        position: relative;\n        padding-left: 50%; \/* Etiket i\u00e7in yer a\u00e7 *\/\n        text-align: right;\n    }\n    .metrics-table td:last-child {\n        border-bottom: 0;\n    }\n    .metrics-table td:before {\n        content: attr(data-label); \/* data-label niteli\u011fini etiket olarak kullan *\/\n        position: absolute;\n        left: 6px;\n        width: 45%;\n        padding-right: 10px;\n        white-space: nowrap;\n        text-align: left;\n        font-weight: bold;\n    }\n}\n<\/style>\n\n<table class=\"metrics-table\">\n    <thead>\n        <tr>\n            <th>Metrik Ad\u0131<\/th>\n            <th>De\u011fer<\/th>\n            <th>A\u00e7\u0131klama<\/th>\n        <\/tr>\n    <\/thead>\n    <tbody>\n        <tr>\n            <td data-label=\"Metrik Ad\u0131\">HeapAlloc (MB)<\/td>\n            <td data-label=\"De\u011fer\">120<\/td>\n            <td data-label=\"A\u00e7\u0131klama\">Anl\u0131k Heap bellek tahsisi<\/td>\n        <\/tr>\n        <tr>\n            <td data-label=\"Metrik Ad\u0131\">Sys (MB)<\/td>\n            <td data-label=\"De\u011fer\">250<\/td>\n            <td data-label=\"A\u00e7\u0131klama\">\u0130\u015fletim sisteminden al\u0131nan bellek<\/td>\n        <\/tr>\n        <tr>\n            <td data-label=\"Metrik Ad\u0131\">NumGC<\/td>\n            <td data-label=\"De\u011fer\">54<\/td>\n            <td data-label=\"A\u00e7\u0131klama\">\u00c7\u00f6p toplama d\u00f6ng\u00fcs\u00fc say\u0131s\u0131<\/td>\n        <\/tr>\n    <\/tbody>\n<\/table>\n    <\/pre>\n<p><\/code><\/p>\n<p>Bu \u00f6rnek, tablo ba\u015fl\u0131klar\u0131n\u0131 mobil cihazlarda gizleyerek ve her bir h\u00fccreyi kendi etiketiyle birlikte blok olarak g\u00f6stererek daha okunabilir hale getirir. <code>data-label<\/code> niteli\u011fi, mobil g\u00f6r\u00fcn\u00fcmde h\u00fccrenin ne anlama geldi\u011fini belirtmek i\u00e7in kullan\u0131l\u0131r. Bu sayede, karma\u015f\u0131k profil verileri bile k\u00fc\u00e7\u00fck ekranlarda d\u00fczenli ve anla\u015f\u0131l\u0131r bir \u015fekilde sunulabilir, bu da geli\u015ftiricilerin ve operasyon ekiplerinin h\u0131zl\u0131ca bilgi edinmesini sa\u011flar. Bu, Go uygulamalar\u0131n\u0131z\u0131n performans\u0131n\u0131 izlerken eri\u015filebilirlik ve kullan\u0131labilirlik a\u00e7\u0131s\u0131ndan \u00f6nemli bir ad\u0131md\u0131r.<\/p>\n<h2>Go Bellek Stres Testi: S\u0131k\u00e7a Sorulan Sorular<\/h2>\n<p>Go uygulamalar\u0131n\u0131zda bellek performans\u0131n\u0131 optimize etmek ve y\u00fcksek y\u00fckl\u00fc senaryolara haz\u0131rl\u0131kl\u0131 olmak, s\u00fcrekli dikkat ve do\u011fru ara\u00e7lar\u0131n kullan\u0131m\u0131n\u0131 gerektirir. Bu rehberde, Go bellek y\u00f6netiminin temel prensiplerinden ba\u015flayarak, <code>pprof<\/code> ile derinlemesine profil \u00e7\u0131karmaya ve ileri d\u00fczey optimizasyon tekniklerine kadar kapsaml\u0131 bir yol haritas\u0131 sunduk. Unutmay\u0131n ki, proaktif testler ve d\u00fczenli izleme, uygulaman\u0131z\u0131n \u00fcretim ortam\u0131nda kararl\u0131 ve verimli kalmas\u0131n\u0131n anahtar\u0131d\u0131r. Bu sayede beklenmedik bellek sorunlar\u0131n\u0131n \u00f6n\u00fcne ge\u00e7ebilir ve sisteminizin sorunsuz \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flayabilirsiniz.<\/p>\n<h3>S\u0131k\u00e7a Sorulan Sorular<\/h3>\n<ul>\n<li>\n            <strong>S: Go'da bellek s\u0131z\u0131nt\u0131s\u0131n\u0131 en h\u0131zl\u0131 nas\u0131l tespit edebilirim?<\/strong><br \/>\n            <strong>C:<\/strong> En h\u0131zl\u0131 yol, uygulaman\u0131za <code>_ \"net\/http\/pprof\"<\/code> entegrasyonu yapmak ve ard\u0131ndan <code>go tool pprof http:\/\/localhost:PORT\/debug\/pprof\/heap<\/code> komutunu kullanarak heap profilini almakt\u0131r. \u00d6zellikle <code>web<\/code> komutu ile olu\u015fan g\u00f6rsel grafik, bellek s\u0131z\u0131nt\u0131s\u0131n\u0131n hangi kod yolundan kaynakland\u0131\u011f\u0131n\u0131 g\u00f6rsel olarak kolayca anlaman\u0131za yard\u0131mc\u0131 olur. \u0130ki farkl\u0131 zaman diliminde al\u0131nan profillerin <code>--diff<\/code> ile kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131 da s\u0131z\u0131nt\u0131lar\u0131 belirginle\u015ftirir.\n        <\/li>\n<li>\n            <strong>S: <code>GOGC<\/code> ve <code>GOMEMLIMIT<\/code> aras\u0131ndaki fark nedir?<\/strong><br \/>\n            <strong>C:<\/strong> <code>GOGC<\/code>, Go'nun \u00e7\u00f6p toplay\u0131c\u0131s\u0131n\u0131n ne s\u0131kl\u0131kta \u00e7al\u0131\u015faca\u011f\u0131n\u0131, canl\u0131 heap belle\u011fi ne kadar b\u00fcy\u00fcd\u00fc\u011f\u00fcnde tetiklenece\u011fini y\u00fczde olarak belirler (varsay\u0131lan %100). Bu, uygulaman\u0131n GC gecikmesi ile bellek ayak izi aras\u0131nda bir denge kurman\u0131z\u0131 sa\u011flar. <code>GOMEMLIMIT<\/code> ise, Go \u00e7al\u0131\u015fma zaman\u0131n\u0131n i\u015fletim sisteminden ne kadar bellek talep edebilece\u011fini do\u011frudan bayt cinsinden s\u0131n\u0131rlar. Bu limit a\u015f\u0131ld\u0131\u011f\u0131nda GC daha agresif \u00e7al\u0131\u015f\u0131r. <code>GOMEMLIMIT<\/code>, \u00f6zellikle container ortamlar\u0131nda bellek kaynaklar\u0131n\u0131 y\u00f6netmek i\u00e7in daha keskin bir kontrol sunar.\n        <\/li>\n<li>\n            <strong>S: <code>sync.Pool<\/code> her durumda bellek performans\u0131n\u0131 iyile\u015ftirir mi?<\/strong><br \/>\n            <strong>C:<\/strong> Hay\u0131r, <code>sync.Pool<\/code> her durumda performans iyile\u015ftirmesi sa\u011flamaz. En iyi performans\u0131, durumu olmayan (stateless) veya durumu kolayca s\u0131f\u0131rlanabilen nesnelerin s\u0131k\u00e7a olu\u015fturulup yok edildi\u011fi senaryolarda g\u00f6sterir. E\u011fer havuzlanan nesnelerin ya\u015fam d\u00f6ng\u00fcs\u00fc karma\u015f\u0131ksa veya nesneler aras\u0131nda durum payla\u015f\u0131m\u0131 gerekiyorsa, <code>sync.Pool<\/code> kullanmak yerine dikkatli bellek tahsisi ve GC'nin i\u015fini yapmas\u0131na izin vermek daha iyi olabilir. Yanl\u0131\u015f kullan\u0131m\u0131 karma\u015f\u0131kl\u0131\u011f\u0131 art\u0131r\u0131p hatta performans\u0131 d\u00fc\u015f\u00fcrebilir.\n        <\/li>\n<li>\n            <strong>S: Goroutine s\u0131z\u0131nt\u0131lar\u0131n\u0131 nas\u0131l \u00f6nleyebilirim?<\/strong><br \/>\n            <strong>C:<\/strong> Goroutine s\u0131z\u0131nt\u0131lar\u0131n\u0131 \u00f6nlemenin temel yolu, t\u00fcm Goroutine'lerin i\u015fleri bitti\u011finde veya bir iptal sinyali ald\u0131klar\u0131nda d\u00fczg\u00fcn bir \u015fekilde sonland\u0131klar\u0131ndan emin olmakt\u0131r. Bunun i\u00e7in <code>context.Context<\/code> paketi, Goroutine'ler aras\u0131nda iptal sinyallerini yaymak i\u00e7in en yayg\u0131n ve etkili y\u00f6ntemdir. Ayr\u0131ca, <code>select<\/code> ifadeleri kullanarak kanallar\u0131n kapanma durumlar\u0131n\u0131 izlemek ve <code>sync.WaitGroup<\/code> kullanarak bir grup Goroutine'in tamamlanmas\u0131n\u0131 beklemek de Goroutine s\u0131z\u0131nt\u0131lar\u0131n\u0131 \u00f6nlemeye yard\u0131mc\u0131 olur.\n        <\/li>\n<li>\n            <strong>S: Go uygulamas\u0131n\u0131n bellek t\u00fcketimi neden \u00fcretimde yerelden farkl\u0131 olabilir?<\/strong><br \/>\n            <strong>C:<\/strong> \u00dcretim ortamlar\u0131 genellikle daha y\u00fcksek ve daha ger\u00e7ek\u00e7i bir y\u00fck alt\u0131nda \u00e7al\u0131\u015f\u0131r, bu da daha fazla e\u015fzamanl\u0131 istek, daha b\u00fcy\u00fck veri k\u00fcmeleri ve daha fazla Goroutine anlam\u0131na gelir. Ayr\u0131ca, farkl\u0131 CPU mimarileri, i\u015fletim sistemi konfig\u00fcrasyonlar\u0131 ve container ortamlar\u0131n\u0131n bellek limitleri de bellek t\u00fcketimini etkileyebilir. Bu nedenle, yerelde sorunsuz g\u00f6r\u00fcnen bir uygulama, \u00fcretimde beklenmedik bellek sorunlar\u0131 ya\u015fayabilir. \u00dcretim ortam\u0131na benzer test ortamlar\u0131 olu\u015fturmak ve d\u00fczenli stres testleri yapmak bu t\u00fcr farklar\u0131 minimize etmenin anahtar\u0131d\u0131r.\n        <\/li>\n<\/ul>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"Go uygulamalar\u0131n\u0131z y\u00fcksek bellek t\u00fcketimi nedeniyle performans sorunlar\u0131 ya\u015f\u0131yor mu? Bu pratik rehberde, Go bellek stres testinin nas\u0131l&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-31453","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>Go Bellek Stres Testi: Y\u00fcksek Y\u00fckl\u00fc Senaryolarda Pratik Rehber<\/title>\n<meta name=\"description\" content=\"Go uygulamalar\u0131n\u0131z y\u00fcksek bellek t\u00fcketimi nedeniyle performans sorunlar\u0131 ya\u015f\u0131yor mu? Bu pratik rehberde, Go bellek stres testinin nas\u0131l yap\u0131laca\u011f\u0131n\u0131, bellek s\u0131z\u0131nt\u0131lar\u0131n\u0131n nas\u0131l tespit edilece\u011fini ve y\u00fcksek y\u00fckl\u00fc senaryolarda sisteminizi nas\u0131l optimize edebilece\u011finizi ad\u0131m ad\u0131m ke\u015ffedeceksiniz. Modern yaz\u0131l\u0131m geli\u015ftirme s\u00fcre\u00e7lerinde bellek y\u00f6netiminin ne kadar kritik oldu\u011funu biliyor ve bu konuda derinlemesine bir yol haritas\u0131 sunuyoruz.\" \/>\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\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Go Bellek Stres Testi: Y\u00fcksek Y\u00fckl\u00fc Senaryolarda Pratik Rehber\" \/>\n<meta property=\"og:description\" content=\"Go uygulamalar\u0131n\u0131z y\u00fcksek bellek t\u00fcketimi nedeniyle performans sorunlar\u0131 ya\u015f\u0131yor mu? Bu pratik rehberde, Go bellek stres testinin nas\u0131l yap\u0131laca\u011f\u0131n\u0131, bellek s\u0131z\u0131nt\u0131lar\u0131n\u0131n nas\u0131l tespit edilece\u011fini ve y\u00fcksek y\u00fckl\u00fc senaryolarda sisteminizi nas\u0131l optimize edebilece\u011finizi ad\u0131m ad\u0131m ke\u015ffedeceksiniz. Modern yaz\u0131l\u0131m geli\u015ftirme s\u00fcre\u00e7lerinde bellek y\u00f6netiminin ne kadar kritik oldu\u011funu biliyor ve bu konuda derinlemesine bir yol haritas\u0131 sunuyoruz.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/\" \/>\n<meta property=\"og:site_name\" content=\"Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" \/>\n<meta property=\"article:published_time\" content=\"2025-10-10T01:02:03+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=\"16 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/\"},\"author\":{\"name\":\"Fatih Soysal\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"headline\":\"Go Bellek Stres Testi: Y\u00fcksek Y\u00fckl\u00fc Senaryolarda Pratik Rehber\",\"datePublished\":\"2025-10-10T01:02:03+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/\"},\"wordCount\":4566,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/#respond\"]}],\"copyrightYear\":\"2025\",\"copyrightHolder\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/\",\"name\":\"Go Bellek Stres Testi: Y\u00fcksek Y\u00fckl\u00fc Senaryolarda Pratik Rehber\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\"},\"datePublished\":\"2025-10-10T01:02:03+00:00\",\"description\":\"Go uygulamalar\u0131n\u0131z y\u00fcksek bellek t\u00fcketimi nedeniyle performans sorunlar\u0131 ya\u015f\u0131yor mu? Bu pratik rehberde, Go bellek stres testinin nas\u0131l yap\u0131laca\u011f\u0131n\u0131, bellek s\u0131z\u0131nt\u0131lar\u0131n\u0131n nas\u0131l tespit edilece\u011fini ve y\u00fcksek y\u00fckl\u00fc senaryolarda sisteminizi nas\u0131l optimize edebilece\u011finizi ad\u0131m ad\u0131m ke\u015ffedeceksiniz. 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Bu pratik rehberde, Go bellek stres testinin nas\u0131l yap\u0131laca\u011f\u0131n\u0131, bellek s\u0131z\u0131nt\u0131lar\u0131n\u0131n nas\u0131l tespit edilece\u011fini ve y\u00fcksek y\u00fckl\u00fc senaryolarda sisteminizi nas\u0131l optimize edebilece\u011finizi ad\u0131m ad\u0131m ke\u015ffedeceksiniz. Modern yaz\u0131l\u0131m geli\u015ftirme s\u00fcre\u00e7lerinde bellek y\u00f6netiminin ne kadar kritik oldu\u011funu biliyor ve bu konuda derinlemesine bir yol haritas\u0131 sunuyoruz.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/","og_locale":"tr_TR","og_type":"article","og_title":"Go Bellek Stres Testi: Y\u00fcksek Y\u00fckl\u00fc Senaryolarda Pratik Rehber","og_description":"Go uygulamalar\u0131n\u0131z y\u00fcksek bellek t\u00fcketimi nedeniyle performans sorunlar\u0131 ya\u015f\u0131yor mu? Bu pratik rehberde, Go bellek stres testinin nas\u0131l yap\u0131laca\u011f\u0131n\u0131, bellek s\u0131z\u0131nt\u0131lar\u0131n\u0131n nas\u0131l tespit edilece\u011fini ve y\u00fcksek y\u00fckl\u00fc senaryolarda sisteminizi nas\u0131l optimize edebilece\u011finizi ad\u0131m ad\u0131m ke\u015ffedeceksiniz. Modern yaz\u0131l\u0131m geli\u015ftirme s\u00fcre\u00e7lerinde bellek y\u00f6netiminin ne kadar kritik oldu\u011funu biliyor ve bu konuda derinlemesine bir yol haritas\u0131 sunuyoruz.","og_url":"https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/","og_site_name":"Kodlar\u0131n Gizemli D\u00fcnyas\u0131","article_published_time":"2025-10-10T01:02:03+00:00","author":"Fatih Soysal","twitter_card":"summary_large_image","twitter_misc":{"Yazan:":"Fatih Soysal","Tahmini okuma s\u00fcresi":"16 dakika"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/#article","isPartOf":{"@id":"https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/"},"author":{"name":"Fatih Soysal","@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1"},"headline":"Go Bellek Stres Testi: Y\u00fcksek Y\u00fckl\u00fc Senaryolarda Pratik Rehber","datePublished":"2025-10-10T01:02:03+00:00","mainEntityOfPage":{"@id":"https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/"},"wordCount":4566,"commentCount":0,"publisher":{"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1"},"inLanguage":"tr","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/#respond"]}],"copyrightYear":"2025","copyrightHolder":{"@id":"https:\/\/fatihsoysal.com\/blog\/#organization"}},{"@type":"WebPage","@id":"https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/","url":"https:\/\/fatihsoysal.com\/blog\/go-bellek-stres-testi-yuksek-yuklu-senaryolarda-pratik-rehber\/","name":"Go Bellek Stres Testi: Y\u00fcksek Y\u00fckl\u00fc Senaryolarda Pratik Rehber","isPartOf":{"@id":"https:\/\/fatihsoysal.com\/blog\/#website"},"datePublished":"2025-10-10T01:02:03+00:00","description":"Go uygulamalar\u0131n\u0131z y\u00fcksek bellek t\u00fcketimi nedeniyle performans sorunlar\u0131 ya\u015f\u0131yor mu? Bu pratik rehberde, Go bellek stres testinin nas\u0131l yap\u0131laca\u011f\u0131n\u0131, bellek s\u0131z\u0131nt\u0131lar\u0131n\u0131n nas\u0131l tespit edilece\u011fini ve y\u00fcksek y\u00fckl\u00fc senaryolarda sisteminizi nas\u0131l optimize edebilece\u011finizi ad\u0131m ad\u0131m ke\u015ffedeceksiniz. 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