Micronaut 4 ve AWS Lambda: So\u011fuk Ba\u015flatmalar\u0131 Azaltma<\/title><\/p>\n<style>\n body {\n font-family: sans-serif;\n line-height: 1.6;\n margin: 20px;\n }\n h1, h2, h3 {\n font-weight: bold;\n }\n h1 {\n font-size: 2em;\n }\n h2 {\n font-size: 1.5em;\n }\n h3 {\n font-size: 1.2em;\n }\n code {\n background-color: #f0f0f0;\n padding: 2px 4px;\n border-radius: 4px;\n }\n pre {\n background-color: #f0f0f0;\n padding: 10px;\n border-radius: 4px;\n overflow-x: auto;\n }\n table {\n width: 100%;\n border-collapse: collapse;\n margin-bottom: 1em;\n }\n th, td {\n border: 1px solid #ddd;\n padding: 8px;\n text-align: left;\n }\n .warning {\n background-color: #ffcccc;\n border: 1px solid #ff9999;\n padding: 10px;\n margin-bottom: 1em;\n }\n @media (max-width: 768px) {\n body {\n font-size: 14px;\n }\n }\n <\/style>\n<p><\/head><br \/>\n<body><\/p>\n<p>Micronaut 4 ve AWS Lambda: So\u011fuk Ba\u015flatmalar\u0131 Azaltma<\/p>\n<p>AWS Lambda \u00fczerinde \u00e7al\u0131\u015fan Micronaut 4 uygulamalar\u0131n\u0131z\u0131n performans\u0131n\u0131 d\u00fc\u015f\u00fcren so\u011fuk ba\u015flatmalar, uygulama tepki s\u00fcrelerinizi olumsuz etkiler. Bu makalede, AWS SnapStart ve DynamoDB \u00f6nbellekleme stratejileri kullanarak bu sorunu nas\u0131l \u00e7\u00f6zebilece\u011finizi detayl\u0131 olarak ele alaca\u011f\u0131z. Ad\u0131m ad\u0131m k\u0131lavuz, kod \u00f6rnekleri ve ger\u00e7ek d\u00fcnya senaryolar\u0131 ile Micronaut uygulaman\u0131z\u0131n performans\u0131n\u0131 optimize etmeyi \u00f6\u011freneceksiniz.<\/p>\n<h2>Micronaut ve AWS Lambda: Temel Kavramlar<\/h2>\n<p>\u00d6ncelikle, Micronaut ve AWS Lambda'n\u0131n temel \u00f6zelliklerini ve neden so\u011fuk ba\u015flatmalar\u0131n bir sorun oldu\u011funu anlamam\u0131z gerekiyor. Micronaut, Java, Kotlin ve Groovy dillerini destekleyen, hafif ve y\u00fcksek performansl\u0131 bir mikro servis framework'\u00fcd\u00fcr. AWS Lambda ise kodunuzu sunucu y\u00f6netmeden \u00e7al\u0131\u015ft\u0131rman\u0131z\u0131 sa\u011flayan sunucusuz bir hesaplama hizmetidir. Lambda fonksiyonlar\u0131, talep \u00fczerine \u00e7al\u0131\u015ft\u0131r\u0131l\u0131r ve her \u00e7a\u011fr\u0131da fonksiyonunuzun kodu ba\u015flat\u0131l\u0131r. \u0130\u015fte bu ba\u015flatma i\u015flemi, “so\u011fuk ba\u015flatma” olarak adland\u0131r\u0131l\u0131r ve \u00f6nemli \u00f6l\u00e7\u00fcde zaman alabilir. So\u011fuk ba\u015flatmalar, uygulama tepki s\u00fcrelerinde gecikmelere ve k\u00f6t\u00fc kullan\u0131c\u0131 deneyimine yol a\u00e7ar. Bu makale, bu gecikmeleri en aza indirgemek i\u00e7in \u00e7\u00f6z\u00fcmler sunmaktad\u0131r.<\/p>\n<p>\u00d6zellikle y\u00fcksek trafikli uygulamalarda so\u011fuk ba\u015flatmalar\u0131n maliyet ve performans \u00fczerinde \u00f6nemli etkisi vard\u0131r. Daha fazla kaynak t\u00fcketimi ve daha uzun yan\u0131t s\u00fcreleri, kullan\u0131c\u0131 memnuniyetsizli\u011fine ve artan maliyetlere yol a\u00e7abilir. Bu nedenle, so\u011fuk ba\u015flatmalar\u0131n azalt\u0131lmas\u0131 kritik \u00f6neme sahiptir.<\/p>\n<h2>SnapStart ile So\u011fuk Ba\u015flatmalar\u0131 Azaltmak<\/h2>\n<h3>SnapStart Nedir ve Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/h3>\n<p>AWS SnapStart, Lambda fonksiyonlar\u0131n\u0131z\u0131n ba\u015flatma s\u00fcresini \u00f6nemli \u00f6l\u00e7\u00fcde azaltan bir \u00f6zelliktir. Fonksiyonunuzun bir “snapshot'\u0131n\u0131” alarak, gelecekteki \u00e7a\u011fr\u0131lar i\u00e7in h\u0131zl\u0131 bir \u015fekilde ba\u015flat\u0131lmas\u0131n\u0131 sa\u011flar. Bu, fonksiyonunuzun kodunu yeniden y\u00fcklemek yerine, \u00f6nceden haz\u0131rlanm\u0131\u015f bir durumdan ba\u015flat\u0131lmas\u0131 anlam\u0131na gelir. SnapStart, daha h\u0131zl\u0131 ba\u015flatma s\u00fcreleri ve iyile\u015ftirilmi\u015f performans sa\u011flar. Ancak SnapStart t\u00fcm \u00e7al\u0131\u015fma ortamlar\u0131nda ve t\u00fcm fonksiyon t\u00fcrlerinde desteklenmemektedir. Uygulaman\u0131z\u0131n uyumlulu\u011funu kontrol etmeniz \u00f6nemlidir.<\/p>\n<p>SnapStart'\u0131 etkinle\u015ftirmek i\u00e7in AWS Lambda konsolunu veya AWS CLI's\u0131n\u0131 kullanabilirsiniz. Etkinle\u015ftirme i\u015flemi, fonksiyonunuzun yap\u0131land\u0131rmas\u0131nda birka\u00e7 ayar\u0131 de\u011fi\u015ftirmeyi i\u00e7erir. Daha detayl\u0131 bilgi i\u00e7in AWS Lambda dok\u00fcmantasyonunu inceleyebilirsiniz. SnapStart, uygulaman\u0131n \u00e7al\u0131\u015fma zaman\u0131n\u0131 ve kaynaklar\u0131n\u0131 optimize ederek, daha az gecikme ve daha az maliyet sa\u011flar. Bu sayede, kullan\u0131c\u0131lar\u0131n\u0131z daha h\u0131zl\u0131 ve daha g\u00fcvenilir bir hizmet deneyimi ya\u015far.<\/p>\n<h2>DynamoDB \u00d6nbellekleme ile Performans Art\u0131r\u0131m\u0131<\/h2>\n<h3>DynamoDB \u00d6nbellekleme Stratejileri<\/h3>\n<p>Veri taban\u0131ndan veri okuma i\u015flemleri, Lambda fonksiyonlar\u0131n\u0131z\u0131n ba\u015flatma s\u00fcresini uzatabilir. Bu sorunu \u00e7\u00f6zmek i\u00e7in, DynamoDB'de s\u0131k eri\u015filen verileri \u00f6nbelle\u011fe alarak, veri okuma i\u015flemlerinin h\u0131z\u0131n\u0131 art\u0131rabilirsiniz. Bu y\u00f6ntem, \u00f6zellikle verileri s\u00fcrekli olarak okuyan uygulamalar i\u00e7in olduk\u00e7a etkilidir. \u00d6nbelle\u011fe alma mekanizmas\u0131n\u0131 do\u011fru bir \u015fekilde uygulamak performans\u0131 art\u0131r\u0131r, ancak yanl\u0131\u015f uygulama durumunda maliyetleri art\u0131rabilir. \u00d6rne\u011fin, gereksiz yere b\u00fcy\u00fck bir \u00f6nbellek olu\u015fturmak kaynak israf\u0131na ve maliyet art\u0131\u015f\u0131na yol a\u00e7abilir. <\/p>\n<p>Micronaut uygulaman\u0131zda, DynamoDB'nin yerle\u015fik \u00f6nbellekleme mekanizmalar\u0131n\u0131 veya bir \u00f6nbellek ara katman\u0131 (\u00f6rne\u011fin Redis) kullanarak verileri \u00f6nbelle\u011fe alabilirsiniz. Veri tutarl\u0131l\u0131\u011f\u0131 ve ge\u00e7erlili\u011fini korumak i\u00e7in \u00f6nbellek ge\u00e7irme (cache eviction) stratejilerine dikkat etmeniz gerekir. \u00d6rne\u011fin, LRU (Least Recently Used) veya FIFO (First In, First Out) gibi y\u00f6ntemler kullan\u0131labilir. Her y\u00f6ntemin art\u0131lar\u0131 ve eksileri vard\u0131r, bu nedenle uygulaman\u0131z\u0131n gereksinimlerine en uygun olan\u0131n\u0131 se\u00e7meniz \u00f6nemlidir.<\/p>\n<h2>Uygulamal\u0131 \u00d6rnek: Micronaut 4 ve AWS Lambda<\/h2>\n<h3>Ad\u0131m Ad\u0131m Uygulama<\/h3>\n<p>\u015eimdi, Micronaut 4 uygulamas\u0131n\u0131 AWS Lambda'ya da\u011f\u0131tmay\u0131 ve SnapStart ile DynamoDB \u00f6nbelleklemeyi kullanarak so\u011fuk ba\u015flatma s\u00fcresini nas\u0131l azaltaca\u011f\u0131n\u0131z\u0131 ad\u0131m ad\u0131m g\u00f6sterece\u011fiz. A\u015fa\u011f\u0131daki ad\u0131mlar, temel bir Micronaut uygulamas\u0131 ve AWS Lambda'ya da\u011f\u0131t\u0131m\u0131n\u0131 varsayar. \u00d6ncelikle, Micronaut'u kurman\u0131z ve basit bir REST API's\u0131 olu\u015fturman\u0131z gerekecektir. Ard\u0131ndan, bu API'y\u0131 AWS Lambda'ya da\u011f\u0131tman\u0131z ve SnapStart'\u0131 etkinle\u015ftirmeniz gerekir. DynamoDB'den veri okuma i\u015flemi yap\u0131yorsan\u0131z, \u00f6nbellekleme stratejilerini uygulamaya koyman\u0131z gerekir. <\/p>\n<p>\u00d6rnek Kod (Micronaut Controller):<\/p>\n<p><\/code><\/p>\n<pre><code class=\"language-plaintext\">java\npackage com.example;\n\nimport io.micronaut.http.annotation.Controller;\nimport io.micronaut.http.annotation.Get;\nimport io.micronaut.http.annotation.Produces;\nimport io.micronaut.http.MediaType;\nimport com.amazonaws.services.dynamodbv2.AmazonDynamoDB;\nimport com.amazonaws.services.dynamodbv2.datamodeling.DynamoDBMapper;\nimport com.amazonaws.services.dynamodbv2.datamodeling.DynamoDBQueryExpression;\n\n@Controller(\"\/data\")\npublic class DataController {\n\n private final AmazonDynamoDB dynamoDB;\n private final DynamoDBMapper mapper;\n\n public DataController(AmazonDynamoDB dynamoDB) {\n this.dynamoDB = dynamoDB;\n this.mapper = new DynamoDBMapper(dynamoDB);\n }\n\n @Get\n @Produces(MediaType.TEXT_PLAIN)\n public String getData() {\n \/\/DynamoDB'den veri okuma ve \u00f6nbellekleme i\u015flemleri burada ger\u00e7ekle\u015ftirilecektir.\n return \"Veriler DynamoDB'den al\u0131nd\u0131.\";\n }\n}<\/pre>\n<p><\/code><\/p>\n<p>Bu basit \u00f6rnekte, DynamoDB'den veri okuma i\u015flemlerini <code>getData()<\/code> metodunda ger\u00e7ekle\u015ftirece\u011fiz. Bu noktada, \u00f6nbellekleme stratejilerinizi entegre etmeniz gerekir. \u00d6rne\u011fin, \u00f6nbelle\u011fe al\u0131nm\u0131\u015f veriler varsa bunlar\u0131 do\u011frudan kullanabilir, aksi takdirde DynamoDB'den veri okuyup \u00f6nbelle\u011fe alabilirsiniz.<\/p>\n<h2>\u0130leri D\u00fczey Teknikler<\/h2>\n<h3>Performans Analizi ve Optimizasyonu<\/h3>\n<p>So\u011fuk ba\u015flatmalar\u0131n s\u00fcresini azaltman\u0131n yan\u0131 s\u0131ra, uygulaman\u0131z\u0131n genel performans\u0131n\u0131 da analiz etmek ve optimize etmek \u00f6nemlidir. AWS X-Ray gibi ara\u00e7lar\u0131 kullanarak Lambda fonksiyonlar\u0131n\u0131z\u0131n performans\u0131n\u0131 izleyebilir ve darbo\u011fazlar\u0131 tespit edebilirsiniz. Performans analizleri, uygulaman\u0131z\u0131n en yava\u015f \u00e7al\u0131\u015fan b\u00f6l\u00fcmlerini belirlemenize ve iyile\u015ftirmeler yapman\u0131za yard\u0131mc\u0131 olur. \u00d6rne\u011fin, veritaban\u0131 sorgular\u0131n\u0131 optimize etmek, gereksiz kodlar\u0131 kald\u0131rmak veya daha verimli algoritmalar kullanmak performans art\u0131\u015f\u0131na yol a\u00e7abilir.<\/p>\n<p>Bunun yan\u0131 s\u0131ra, Lambda fonksiyonlar\u0131n\u0131z\u0131n belle\u011fini ve e\u015fzamanl\u0131l\u0131k seviyesini ayarlamak da performans\u0131 etkiler. Uygulaman\u0131z\u0131n gereksinimlerine g\u00f6re bu ayarlar\u0131 optimize etmek, daha iyi performans sa\u011flayabilir. Ancak, kaynaklar\u0131n a\u015f\u0131r\u0131 tahsis edilmesinden ka\u00e7\u0131nmak da \u00f6nemlidir, \u00e7\u00fcnk\u00fc bu maliyetleri art\u0131rabilir. Do\u011fru kaynak tahsisi, performans ve maliyet dengesi aras\u0131nda bir optimizasyon sa\u011flar.<\/p>\n<h2>Ger\u00e7ek D\u00fcnya Senaryolar\u0131<\/h2>\n<h3>Vaka Analizi<\/h3>\n<p>Y\u00fcksek trafikli bir e-ticaret uygulamas\u0131nda, \u00fcr\u00fcn detaylar\u0131n\u0131n g\u00f6r\u00fcnt\u00fclenmesi i\u00e7in Lambda fonksiyonlar\u0131 kullan\u0131ld\u0131\u011f\u0131n\u0131 d\u00fc\u015f\u00fcnelim. So\u011fuk ba\u015flatmalar, kullan\u0131c\u0131lar\u0131n \u00fcr\u00fcn detaylar\u0131n\u0131 g\u00f6r\u00fcnt\u00fclemek i\u00e7in uzun s\u00fcre beklemesine neden olabilir, bu da d\u00f6n\u00fc\u015f\u00fcm oranlar\u0131n\u0131 d\u00fc\u015f\u00fcr\u00fcr. SnapStart ve DynamoDB \u00f6nbellekleme, \u00fcr\u00fcn detaylar\u0131n\u0131n h\u0131zl\u0131 bir \u015fekilde y\u00fcklenmesini sa\u011flayarak kullan\u0131c\u0131 deneyimini iyile\u015ftirir ve d\u00f6n\u00fc\u015f\u00fcm oranlar\u0131n\u0131 art\u0131r\u0131r. Bu, hem kullan\u0131c\u0131 memnuniyetini hem de i\u015f ba\u015far\u0131s\u0131n\u0131 olumlu y\u00f6nde etkiler.<\/p>\n<p>Bir ba\u015fka \u00f6rnek olarak, bir IoT cihaz\u0131ndan gelen verilerin i\u015flendi\u011fi bir sistem ele alal\u0131m. Her cihazdan gelen verilerin i\u015flenmesi i\u00e7in ayr\u0131 bir Lambda fonksiyonu kullan\u0131l\u0131yor olabilir. So\u011fuk ba\u015flatmalar, bu sistemin ger\u00e7ek zamanl\u0131 olarak \u00e7al\u0131\u015fmas\u0131n\u0131 engelleyebilir. SnapStart'\u0131n kullan\u0131m\u0131yla, her cihazdan gelen veriler daha h\u0131zl\u0131 i\u015flenebilir ve sistemin ger\u00e7ek zamanl\u0131 performans\u0131 art\u0131r\u0131labilir. Bu, cihazlar\u0131n daha h\u0131zl\u0131 yan\u0131t vermesini sa\u011flar ve sistemi daha g\u00fcvenilir hale getirir.<\/p>\n<h2>Sonu\u00e7<\/h2>\n<p>Bu makalede, Micronaut 4 uygulamalar\u0131n\u0131z\u0131n AWS Lambda \u00fczerindeki performans\u0131n\u0131 art\u0131rmak i\u00e7in SnapStart ve DynamoDB \u00f6nbellekleme stratejilerini nas\u0131l kullanabilece\u011finizi detayl\u0131 bir \u015fekilde a\u00e7\u0131klad\u0131k. Uygulama \u00f6rnekleri ve ipu\u00e7lar\u0131yla, so\u011fuk ba\u015flatmalar\u0131n olumsuz etkilerini azaltarak daha h\u0131zl\u0131 ve daha g\u00fcvenilir bir uygulama geli\u015ftirebilirsiniz. Unutmay\u0131n ki, do\u011fru tekniklerin se\u00e7imi ve uygulanmas\u0131, uygulaman\u0131z\u0131n \u00f6zel gereksinimlerine ba\u011fl\u0131d\u0131r. Daha fazla bilgi i\u00e7in AWS Lambda ve Micronaut dok\u00fcmantasyonuna g\u00f6z atabilirsiniz. Ayr\u0131ca, <a href=\"https:\/\/fatihsoysal.com\">Fatih Soysal<\/a> web sitesini ziyaret ederek daha fazla bilgi edinebilirsiniz.<\/p>\n<h3>S\u0131k\u00e7a Sorulan Sorular<\/h3>\n<ul>\n<li><b>SnapStart t\u00fcm Lambda fonksiyonlar\u0131 i\u00e7in \u00e7al\u0131\u015f\u0131r m\u0131?<\/b> Hay\u0131r, SnapStart t\u00fcm \u00e7al\u0131\u015fma ortamlar\u0131nda ve t\u00fcm fonksiyon t\u00fcrlerinde desteklenmez. Uyumlulu\u011fu kontrol etmek \u00f6nemlidir.<\/li>\n<li><b>DynamoDB \u00f6nbelleklemesi maliyetleri art\u0131r\u0131r m\u0131?<\/b> Yanl\u0131\u015f y\u00f6netim durumunda evet. Do\u011fru \u00f6nbellek ge\u00e7irme stratejileriyle maliyetler kontrol alt\u0131na al\u0131nabilir.<\/li>\n<li><b>SnapStart ve DynamoDB \u00f6nbelleklemesini birlikte kullanmak daha m\u0131 iyi?<\/b> Evet, genellikle birlikte kullan\u0131ld\u0131klar\u0131nda daha iyi sonu\u00e7lar verirler.<\/li>\n<li><b>Hangi \u00f6nbellek ge\u00e7irme stratejisi en iyisidir?<\/b> Uygulaman\u0131z\u0131n \u00f6zel gereksinimlerine ba\u011fl\u0131d\u0131r. LRU ve FIFO yayg\u0131n olarak kullan\u0131lan stratejilerdir.<\/li>\n<li><b>Performans\u0131 nas\u0131l izleyebilirim?<\/b> AWS X-Ray, CloudWatch gibi ara\u00e7lar kullan\u0131labilir.<\/li>\n<\/ul>\n<p>Yazar: Fatih Soysal<\/p>\n<p><\/body><br \/>\n<\/html><\/code><\/p>\n","protected":false},"excerpt":{"rendered":"Micronaut 4 ve AWS Lambda: So\u011fuk Ba\u015flatmalar\u0131 Azaltma Micronaut 4 ve AWS Lambda: So\u011fuk Ba\u015flatmalar\u0131 Azaltma AWS Lambda…","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-29695","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\n<title>Micronaut 4 ve AWS Lambda: So\u011fuk Ba\u015flatmalar\u0131 Azaltma<\/title>\n<meta name=\"description\" content=\"AWS Lambda \u00fczerinde \u00e7al\u0131\u015fan Micronaut 4 uygulamalar\u0131n\u0131z\u0131n performans\u0131n\u0131 d\u00fc\u015f\u00fcren so\u011fuk ba\u015flatmalar, uygulama tepki s\u00fcrelerinizi olumsuz etkiler. Bu makalede, AWS SnapStart ve DynamoDB \u00f6nbellekleme stratejileri kullanarak bu sorunu nas\u0131l \u00e7\u00f6zebilece\u011finizi detayl\u0131 olarak ele alaca\u011f\u0131z. Ad\u0131m ad\u0131m k\u0131lavuz, kod \u00f6rnekleri ve ger\u00e7ek d\u00fcnya senaryolar\u0131 ile Micronaut uygulaman\u0131z\u0131n performans\u0131n\u0131 optimize etmeyi \u00f6\u011freneceksiniz.\" \/>\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\/micronaut-4-ve-aws-lambda-soguk-baslatmalari-azaltma\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Micronaut 4 ve AWS Lambda: So\u011fuk Ba\u015flatmalar\u0131 Azaltma\" \/>\n<meta property=\"og:description\" content=\"AWS Lambda \u00fczerinde \u00e7al\u0131\u015fan Micronaut 4 uygulamalar\u0131n\u0131z\u0131n performans\u0131n\u0131 d\u00fc\u015f\u00fcren so\u011fuk ba\u015flatmalar, uygulama tepki s\u00fcrelerinizi olumsuz etkiler. 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{"id":29695,"date":"2025-09-18T17:30:29","date_gmt":"2025-09-18T14:30:29","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/micronaut-4-ve-aws-lambda-soguk-baslatmalari-azaltma\/"},"modified":"2025-09-18T17:30:29","modified_gmt":"2025-09-18T14:30:29","slug":"micronaut-4-ve-aws-lambda-soguk-baslatmalari-azaltma","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/micronaut-4-ve-aws-lambda-soguk-baslatmalari-azaltma\/","title":{"rendered":"Micronaut 4 ve AWS Lambda: So\u011fuk Ba\u015flatmalar\u0131 Azaltma"},"content":{"rendered":"

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\n Micronaut 4 ve AWS Lambda: So\u011fuk Ba\u015flatmalar\u0131 Azaltma<\/title><\/p>\n<style>\n body {\n font-family: sans-serif;\n line-height: 1.6;\n margin: 20px;\n }\n h1, h2, h3 {\n font-weight: bold;\n }\n h1 {\n font-size: 2em;\n }\n h2 {\n font-size: 1.5em;\n }\n h3 {\n font-size: 1.2em;\n }\n code {\n background-color: #f0f0f0;\n padding: 2px 4px;\n border-radius: 4px;\n }\n pre {\n background-color: #f0f0f0;\n padding: 10px;\n border-radius: 4px;\n overflow-x: auto;\n }\n table {\n width: 100%;\n border-collapse: collapse;\n margin-bottom: 1em;\n }\n th, td {\n border: 1px solid #ddd;\n padding: 8px;\n text-align: left;\n }\n .warning {\n background-color: #ffcccc;\n border: 1px solid #ff9999;\n padding: 10px;\n margin-bottom: 1em;\n }\n @media (max-width: 768px) {\n body {\n font-size: 14px;\n }\n }\n <\/style>\n<p><\/head><br \/>\n<body><\/p>\n<p>Micronaut 4 ve AWS Lambda: So\u011fuk Ba\u015flatmalar\u0131 Azaltma<\/p>\n<p>AWS Lambda \u00fczerinde \u00e7al\u0131\u015fan Micronaut 4 uygulamalar\u0131n\u0131z\u0131n performans\u0131n\u0131 d\u00fc\u015f\u00fcren so\u011fuk ba\u015flatmalar, uygulama tepki s\u00fcrelerinizi olumsuz etkiler. Bu makalede, AWS SnapStart ve DynamoDB \u00f6nbellekleme stratejileri kullanarak bu sorunu nas\u0131l \u00e7\u00f6zebilece\u011finizi detayl\u0131 olarak ele alaca\u011f\u0131z. Ad\u0131m ad\u0131m k\u0131lavuz, kod \u00f6rnekleri ve ger\u00e7ek d\u00fcnya senaryolar\u0131 ile Micronaut uygulaman\u0131z\u0131n performans\u0131n\u0131 optimize etmeyi \u00f6\u011freneceksiniz.<\/p>\n<h2>Micronaut ve AWS Lambda: Temel Kavramlar<\/h2>\n<p>\u00d6ncelikle, Micronaut ve AWS Lambda'n\u0131n temel \u00f6zelliklerini ve neden so\u011fuk ba\u015flatmalar\u0131n bir sorun oldu\u011funu anlamam\u0131z gerekiyor. Micronaut, Java, Kotlin ve Groovy dillerini destekleyen, hafif ve y\u00fcksek performansl\u0131 bir mikro servis framework'\u00fcd\u00fcr. AWS Lambda ise kodunuzu sunucu y\u00f6netmeden \u00e7al\u0131\u015ft\u0131rman\u0131z\u0131 sa\u011flayan sunucusuz bir hesaplama hizmetidir. Lambda fonksiyonlar\u0131, talep \u00fczerine \u00e7al\u0131\u015ft\u0131r\u0131l\u0131r ve her \u00e7a\u011fr\u0131da fonksiyonunuzun kodu ba\u015flat\u0131l\u0131r. \u0130\u015fte bu ba\u015flatma i\u015flemi, “so\u011fuk ba\u015flatma” olarak adland\u0131r\u0131l\u0131r ve \u00f6nemli \u00f6l\u00e7\u00fcde zaman alabilir. So\u011fuk ba\u015flatmalar, uygulama tepki s\u00fcrelerinde gecikmelere ve k\u00f6t\u00fc kullan\u0131c\u0131 deneyimine yol a\u00e7ar. Bu makale, bu gecikmeleri en aza indirgemek i\u00e7in \u00e7\u00f6z\u00fcmler sunmaktad\u0131r.<\/p>\n<p>\u00d6zellikle y\u00fcksek trafikli uygulamalarda so\u011fuk ba\u015flatmalar\u0131n maliyet ve performans \u00fczerinde \u00f6nemli etkisi vard\u0131r. Daha fazla kaynak t\u00fcketimi ve daha uzun yan\u0131t s\u00fcreleri, kullan\u0131c\u0131 memnuniyetsizli\u011fine ve artan maliyetlere yol a\u00e7abilir. Bu nedenle, so\u011fuk ba\u015flatmalar\u0131n azalt\u0131lmas\u0131 kritik \u00f6neme sahiptir.<\/p>\n<h2>SnapStart ile So\u011fuk Ba\u015flatmalar\u0131 Azaltmak<\/h2>\n<h3>SnapStart Nedir ve Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/h3>\n<p>AWS SnapStart, Lambda fonksiyonlar\u0131n\u0131z\u0131n ba\u015flatma s\u00fcresini \u00f6nemli \u00f6l\u00e7\u00fcde azaltan bir \u00f6zelliktir. Fonksiyonunuzun bir “snapshot'\u0131n\u0131” alarak, gelecekteki \u00e7a\u011fr\u0131lar i\u00e7in h\u0131zl\u0131 bir \u015fekilde ba\u015flat\u0131lmas\u0131n\u0131 sa\u011flar. Bu, fonksiyonunuzun kodunu yeniden y\u00fcklemek yerine, \u00f6nceden haz\u0131rlanm\u0131\u015f bir durumdan ba\u015flat\u0131lmas\u0131 anlam\u0131na gelir. SnapStart, daha h\u0131zl\u0131 ba\u015flatma s\u00fcreleri ve iyile\u015ftirilmi\u015f performans sa\u011flar. Ancak SnapStart t\u00fcm \u00e7al\u0131\u015fma ortamlar\u0131nda ve t\u00fcm fonksiyon t\u00fcrlerinde desteklenmemektedir. Uygulaman\u0131z\u0131n uyumlulu\u011funu kontrol etmeniz \u00f6nemlidir.<\/p>\n<p>SnapStart'\u0131 etkinle\u015ftirmek i\u00e7in AWS Lambda konsolunu veya AWS CLI's\u0131n\u0131 kullanabilirsiniz. Etkinle\u015ftirme i\u015flemi, fonksiyonunuzun yap\u0131land\u0131rmas\u0131nda birka\u00e7 ayar\u0131 de\u011fi\u015ftirmeyi i\u00e7erir. Daha detayl\u0131 bilgi i\u00e7in AWS Lambda dok\u00fcmantasyonunu inceleyebilirsiniz. SnapStart, uygulaman\u0131n \u00e7al\u0131\u015fma zaman\u0131n\u0131 ve kaynaklar\u0131n\u0131 optimize ederek, daha az gecikme ve daha az maliyet sa\u011flar. Bu sayede, kullan\u0131c\u0131lar\u0131n\u0131z daha h\u0131zl\u0131 ve daha g\u00fcvenilir bir hizmet deneyimi ya\u015far.<\/p>\n<h2>DynamoDB \u00d6nbellekleme ile Performans Art\u0131r\u0131m\u0131<\/h2>\n<h3>DynamoDB \u00d6nbellekleme Stratejileri<\/h3>\n<p>Veri taban\u0131ndan veri okuma i\u015flemleri, Lambda fonksiyonlar\u0131n\u0131z\u0131n ba\u015flatma s\u00fcresini uzatabilir. Bu sorunu \u00e7\u00f6zmek i\u00e7in, DynamoDB'de s\u0131k eri\u015filen verileri \u00f6nbelle\u011fe alarak, veri okuma i\u015flemlerinin h\u0131z\u0131n\u0131 art\u0131rabilirsiniz. Bu y\u00f6ntem, \u00f6zellikle verileri s\u00fcrekli olarak okuyan uygulamalar i\u00e7in olduk\u00e7a etkilidir. \u00d6nbelle\u011fe alma mekanizmas\u0131n\u0131 do\u011fru bir \u015fekilde uygulamak performans\u0131 art\u0131r\u0131r, ancak yanl\u0131\u015f uygulama durumunda maliyetleri art\u0131rabilir. \u00d6rne\u011fin, gereksiz yere b\u00fcy\u00fck bir \u00f6nbellek olu\u015fturmak kaynak israf\u0131na ve maliyet art\u0131\u015f\u0131na yol a\u00e7abilir. <\/p>\n<p>Micronaut uygulaman\u0131zda, DynamoDB'nin yerle\u015fik \u00f6nbellekleme mekanizmalar\u0131n\u0131 veya bir \u00f6nbellek ara katman\u0131 (\u00f6rne\u011fin Redis) kullanarak verileri \u00f6nbelle\u011fe alabilirsiniz. Veri tutarl\u0131l\u0131\u011f\u0131 ve ge\u00e7erlili\u011fini korumak i\u00e7in \u00f6nbellek ge\u00e7irme (cache eviction) stratejilerine dikkat etmeniz gerekir. \u00d6rne\u011fin, LRU (Least Recently Used) veya FIFO (First In, First Out) gibi y\u00f6ntemler kullan\u0131labilir. Her y\u00f6ntemin art\u0131lar\u0131 ve eksileri vard\u0131r, bu nedenle uygulaman\u0131z\u0131n gereksinimlerine en uygun olan\u0131n\u0131 se\u00e7meniz \u00f6nemlidir.<\/p>\n<h2>Uygulamal\u0131 \u00d6rnek: Micronaut 4 ve AWS Lambda<\/h2>\n<h3>Ad\u0131m Ad\u0131m Uygulama<\/h3>\n<p>\u015eimdi, Micronaut 4 uygulamas\u0131n\u0131 AWS Lambda'ya da\u011f\u0131tmay\u0131 ve SnapStart ile DynamoDB \u00f6nbelleklemeyi kullanarak so\u011fuk ba\u015flatma s\u00fcresini nas\u0131l azaltaca\u011f\u0131n\u0131z\u0131 ad\u0131m ad\u0131m g\u00f6sterece\u011fiz. A\u015fa\u011f\u0131daki ad\u0131mlar, temel bir Micronaut uygulamas\u0131 ve AWS Lambda'ya da\u011f\u0131t\u0131m\u0131n\u0131 varsayar. \u00d6ncelikle, Micronaut'u kurman\u0131z ve basit bir REST API's\u0131 olu\u015fturman\u0131z gerekecektir. Ard\u0131ndan, bu API'y\u0131 AWS Lambda'ya da\u011f\u0131tman\u0131z ve SnapStart'\u0131 etkinle\u015ftirmeniz gerekir. DynamoDB'den veri okuma i\u015flemi yap\u0131yorsan\u0131z, \u00f6nbellekleme stratejilerini uygulamaya koyman\u0131z gerekir. <\/p>\n<p>\u00d6rnek Kod (Micronaut Controller):<\/p>\n<p><\/code><\/p>\n<pre><code class=\"language-plaintext\">java\npackage com.example;\n\nimport io.micronaut.http.annotation.Controller;\nimport io.micronaut.http.annotation.Get;\nimport io.micronaut.http.annotation.Produces;\nimport io.micronaut.http.MediaType;\nimport com.amazonaws.services.dynamodbv2.AmazonDynamoDB;\nimport com.amazonaws.services.dynamodbv2.datamodeling.DynamoDBMapper;\nimport com.amazonaws.services.dynamodbv2.datamodeling.DynamoDBQueryExpression;\n\n@Controller(\"\/data\")\npublic class DataController {\n\n private final AmazonDynamoDB dynamoDB;\n private final DynamoDBMapper mapper;\n\n public DataController(AmazonDynamoDB dynamoDB) {\n this.dynamoDB = dynamoDB;\n this.mapper = new DynamoDBMapper(dynamoDB);\n }\n\n @Get\n @Produces(MediaType.TEXT_PLAIN)\n public String getData() {\n \/\/DynamoDB'den veri okuma ve \u00f6nbellekleme i\u015flemleri burada ger\u00e7ekle\u015ftirilecektir.\n return \"Veriler DynamoDB'den al\u0131nd\u0131.\";\n }\n}<\/pre>\n<p><\/code><\/p>\n<p>Bu basit \u00f6rnekte, DynamoDB'den veri okuma i\u015flemlerini <code>getData()<\/code> metodunda ger\u00e7ekle\u015ftirece\u011fiz. Bu noktada, \u00f6nbellekleme stratejilerinizi entegre etmeniz gerekir. \u00d6rne\u011fin, \u00f6nbelle\u011fe al\u0131nm\u0131\u015f veriler varsa bunlar\u0131 do\u011frudan kullanabilir, aksi takdirde DynamoDB'den veri okuyup \u00f6nbelle\u011fe alabilirsiniz.<\/p>\n<h2>\u0130leri D\u00fczey Teknikler<\/h2>\n<h3>Performans Analizi ve Optimizasyonu<\/h3>\n<p>So\u011fuk ba\u015flatmalar\u0131n s\u00fcresini azaltman\u0131n yan\u0131 s\u0131ra, uygulaman\u0131z\u0131n genel performans\u0131n\u0131 da analiz etmek ve optimize etmek \u00f6nemlidir. AWS X-Ray gibi ara\u00e7lar\u0131 kullanarak Lambda fonksiyonlar\u0131n\u0131z\u0131n performans\u0131n\u0131 izleyebilir ve darbo\u011fazlar\u0131 tespit edebilirsiniz. Performans analizleri, uygulaman\u0131z\u0131n en yava\u015f \u00e7al\u0131\u015fan b\u00f6l\u00fcmlerini belirlemenize ve iyile\u015ftirmeler yapman\u0131za yard\u0131mc\u0131 olur. \u00d6rne\u011fin, veritaban\u0131 sorgular\u0131n\u0131 optimize etmek, gereksiz kodlar\u0131 kald\u0131rmak veya daha verimli algoritmalar kullanmak performans art\u0131\u015f\u0131na yol a\u00e7abilir.<\/p>\n<p>Bunun yan\u0131 s\u0131ra, Lambda fonksiyonlar\u0131n\u0131z\u0131n belle\u011fini ve e\u015fzamanl\u0131l\u0131k seviyesini ayarlamak da performans\u0131 etkiler. Uygulaman\u0131z\u0131n gereksinimlerine g\u00f6re bu ayarlar\u0131 optimize etmek, daha iyi performans sa\u011flayabilir. Ancak, kaynaklar\u0131n a\u015f\u0131r\u0131 tahsis edilmesinden ka\u00e7\u0131nmak da \u00f6nemlidir, \u00e7\u00fcnk\u00fc bu maliyetleri art\u0131rabilir. Do\u011fru kaynak tahsisi, performans ve maliyet dengesi aras\u0131nda bir optimizasyon sa\u011flar.<\/p>\n<h2>Ger\u00e7ek D\u00fcnya Senaryolar\u0131<\/h2>\n<h3>Vaka Analizi<\/h3>\n<p>Y\u00fcksek trafikli bir e-ticaret uygulamas\u0131nda, \u00fcr\u00fcn detaylar\u0131n\u0131n g\u00f6r\u00fcnt\u00fclenmesi i\u00e7in Lambda fonksiyonlar\u0131 kullan\u0131ld\u0131\u011f\u0131n\u0131 d\u00fc\u015f\u00fcnelim. So\u011fuk ba\u015flatmalar, kullan\u0131c\u0131lar\u0131n \u00fcr\u00fcn detaylar\u0131n\u0131 g\u00f6r\u00fcnt\u00fclemek i\u00e7in uzun s\u00fcre beklemesine neden olabilir, bu da d\u00f6n\u00fc\u015f\u00fcm oranlar\u0131n\u0131 d\u00fc\u015f\u00fcr\u00fcr. SnapStart ve DynamoDB \u00f6nbellekleme, \u00fcr\u00fcn detaylar\u0131n\u0131n h\u0131zl\u0131 bir \u015fekilde y\u00fcklenmesini sa\u011flayarak kullan\u0131c\u0131 deneyimini iyile\u015ftirir ve d\u00f6n\u00fc\u015f\u00fcm oranlar\u0131n\u0131 art\u0131r\u0131r. Bu, hem kullan\u0131c\u0131 memnuniyetini hem de i\u015f ba\u015far\u0131s\u0131n\u0131 olumlu y\u00f6nde etkiler.<\/p>\n<p>Bir ba\u015fka \u00f6rnek olarak, bir IoT cihaz\u0131ndan gelen verilerin i\u015flendi\u011fi bir sistem ele alal\u0131m. Her cihazdan gelen verilerin i\u015flenmesi i\u00e7in ayr\u0131 bir Lambda fonksiyonu kullan\u0131l\u0131yor olabilir. So\u011fuk ba\u015flatmalar, bu sistemin ger\u00e7ek zamanl\u0131 olarak \u00e7al\u0131\u015fmas\u0131n\u0131 engelleyebilir. SnapStart'\u0131n kullan\u0131m\u0131yla, her cihazdan gelen veriler daha h\u0131zl\u0131 i\u015flenebilir ve sistemin ger\u00e7ek zamanl\u0131 performans\u0131 art\u0131r\u0131labilir. Bu, cihazlar\u0131n daha h\u0131zl\u0131 yan\u0131t vermesini sa\u011flar ve sistemi daha g\u00fcvenilir hale getirir.<\/p>\n<h2>Sonu\u00e7<\/h2>\n<p>Bu makalede, Micronaut 4 uygulamalar\u0131n\u0131z\u0131n AWS Lambda \u00fczerindeki performans\u0131n\u0131 art\u0131rmak i\u00e7in SnapStart ve DynamoDB \u00f6nbellekleme stratejilerini nas\u0131l kullanabilece\u011finizi detayl\u0131 bir \u015fekilde a\u00e7\u0131klad\u0131k. Uygulama \u00f6rnekleri ve ipu\u00e7lar\u0131yla, so\u011fuk ba\u015flatmalar\u0131n olumsuz etkilerini azaltarak daha h\u0131zl\u0131 ve daha g\u00fcvenilir bir uygulama geli\u015ftirebilirsiniz. Unutmay\u0131n ki, do\u011fru tekniklerin se\u00e7imi ve uygulanmas\u0131, uygulaman\u0131z\u0131n \u00f6zel gereksinimlerine ba\u011fl\u0131d\u0131r. Daha fazla bilgi i\u00e7in AWS Lambda ve Micronaut dok\u00fcmantasyonuna g\u00f6z atabilirsiniz. Ayr\u0131ca, <a href=\"https:\/\/fatihsoysal.com\">Fatih Soysal<\/a> web sitesini ziyaret ederek daha fazla bilgi edinebilirsiniz.<\/p>\n<h3>S\u0131k\u00e7a Sorulan Sorular<\/h3>\n<ul>\n<li><b>SnapStart t\u00fcm Lambda fonksiyonlar\u0131 i\u00e7in \u00e7al\u0131\u015f\u0131r m\u0131?<\/b> Hay\u0131r, SnapStart t\u00fcm \u00e7al\u0131\u015fma ortamlar\u0131nda ve t\u00fcm fonksiyon t\u00fcrlerinde desteklenmez. Uyumlulu\u011fu kontrol etmek \u00f6nemlidir.<\/li>\n<li><b>DynamoDB \u00f6nbelleklemesi maliyetleri art\u0131r\u0131r m\u0131?<\/b> Yanl\u0131\u015f y\u00f6netim durumunda evet. Do\u011fru \u00f6nbellek ge\u00e7irme stratejileriyle maliyetler kontrol alt\u0131na al\u0131nabilir.<\/li>\n<li><b>SnapStart ve DynamoDB \u00f6nbelleklemesini birlikte kullanmak daha m\u0131 iyi?<\/b> Evet, genellikle birlikte kullan\u0131ld\u0131klar\u0131nda daha iyi sonu\u00e7lar verirler.<\/li>\n<li><b>Hangi \u00f6nbellek ge\u00e7irme stratejisi en iyisidir?<\/b> Uygulaman\u0131z\u0131n \u00f6zel gereksinimlerine ba\u011fl\u0131d\u0131r. LRU ve FIFO yayg\u0131n olarak kullan\u0131lan stratejilerdir.<\/li>\n<li><b>Performans\u0131 nas\u0131l izleyebilirim?<\/b> AWS X-Ray, CloudWatch gibi ara\u00e7lar kullan\u0131labilir.<\/li>\n<\/ul>\n<p>Yazar: Fatih Soysal<\/p>\n<p><\/body><br \/>\n<\/html><\/code><\/p>\n","protected":false},"excerpt":{"rendered":"Micronaut 4 ve AWS Lambda: So\u011fuk Ba\u015flatmalar\u0131 Azaltma Micronaut 4 ve AWS Lambda: So\u011fuk Ba\u015flatmalar\u0131 Azaltma AWS Lambda…","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-29695","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\n<title>Micronaut 4 ve AWS Lambda: So\u011fuk Ba\u015flatmalar\u0131 Azaltma<\/title>\n<meta name=\"description\" content=\"AWS Lambda \u00fczerinde \u00e7al\u0131\u015fan Micronaut 4 uygulamalar\u0131n\u0131z\u0131n performans\u0131n\u0131 d\u00fc\u015f\u00fcren so\u011fuk ba\u015flatmalar, uygulama tepki s\u00fcrelerinizi olumsuz etkiler. Bu makalede, AWS SnapStart ve DynamoDB \u00f6nbellekleme stratejileri kullanarak bu sorunu nas\u0131l \u00e7\u00f6zebilece\u011finizi detayl\u0131 olarak ele alaca\u011f\u0131z. Ad\u0131m ad\u0131m k\u0131lavuz, kod \u00f6rnekleri ve ger\u00e7ek d\u00fcnya senaryolar\u0131 ile Micronaut uygulaman\u0131z\u0131n performans\u0131n\u0131 optimize etmeyi \u00f6\u011freneceksiniz.\" \/>\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\/micronaut-4-ve-aws-lambda-soguk-baslatmalari-azaltma\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Micronaut 4 ve AWS Lambda: So\u011fuk Ba\u015flatmalar\u0131 Azaltma\" \/>\n<meta property=\"og:description\" content=\"AWS Lambda \u00fczerinde \u00e7al\u0131\u015fan Micronaut 4 uygulamalar\u0131n\u0131z\u0131n performans\u0131n\u0131 d\u00fc\u015f\u00fcren so\u011fuk ba\u015flatmalar, uygulama tepki s\u00fcrelerinizi olumsuz etkiler. Bu makalede, AWS SnapStart ve DynamoDB \u00f6nbellekleme stratejileri kullanarak bu sorunu nas\u0131l \u00e7\u00f6zebilece\u011finizi detayl\u0131 olarak ele alaca\u011f\u0131z. Ad\u0131m ad\u0131m k\u0131lavuz, kod \u00f6rnekleri ve ger\u00e7ek d\u00fcnya senaryolar\u0131 ile Micronaut uygulaman\u0131z\u0131n performans\u0131n\u0131 optimize etmeyi \u00f6\u011freneceksiniz.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fatihsoysal.com\/blog\/micronaut-4-ve-aws-lambda-soguk-baslatmalari-azaltma\/\" \/>\n<meta property=\"og:site_name\" content=\"Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" \/>\n<meta property=\"article:published_time\" content=\"2025-09-18T14:30:29+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=\"7 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/micronaut-4-ve-aws-lambda-soguk-baslatmalari-azaltma\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/micronaut-4-ve-aws-lambda-soguk-baslatmalari-azaltma\/\"},\"author\":{\"name\":\"Fatih Soysal\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"headline\":\"Micronaut 4 ve AWS Lambda: So\u011fuk Ba\u015flatmalar\u0131 Azaltma\",\"datePublished\":\"2025-09-18T14:30:29+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/micronaut-4-ve-aws-lambda-soguk-baslatmalari-azaltma\/\"},\"wordCount\":1400,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/micronaut-4-ve-aws-lambda-soguk-baslatmalari-azaltma\/#respond\"]}],\"copyrightYear\":\"2025\",\"copyrightHolder\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/micronaut-4-ve-aws-lambda-soguk-baslatmalari-azaltma\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/micronaut-4-ve-aws-lambda-soguk-baslatmalari-azaltma\/\",\"name\":\"Micronaut 4 ve AWS Lambda: So\u011fuk Ba\u015flatmalar\u0131 Azaltma\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\"},\"datePublished\":\"2025-09-18T14:30:29+00:00\",\"description\":\"AWS Lambda \u00fczerinde \u00e7al\u0131\u015fan Micronaut 4 uygulamalar\u0131n\u0131z\u0131n performans\u0131n\u0131 d\u00fc\u015f\u00fcren so\u011fuk ba\u015flatmalar, uygulama tepki s\u00fcrelerinizi olumsuz etkiler. 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