{"id":9122,"date":"2025-01-10T00:30:14","date_gmt":"2025-01-09T21:30:14","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/aws-ile-hava-durumu-panosu-uygulamasi-1-gun\/"},"modified":"2025-01-10T00:30:14","modified_gmt":"2025-01-09T21:30:14","slug":"aws-ile-hava-durumu-panosu-uygulamasi-1-gun","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/aws-ile-hava-durumu-panosu-uygulamasi-1-gun\/","title":{"rendered":"AWS ile Hava Durumu Panosu Uygulamas\u0131: 1. G\u00fcn"},"content":{"rendered":"

<\/p>\n

AWS ile Hava Durumu Panosu Uygulamas\u0131: 1. G\u00fcn<\/p>\n

Merhaba! Bu makalede, AWS (Amazon Web Services) platformu \u00fczerinde hava durumu bilgilerini g\u00f6steren bir panosu uygulamas\u0131 geli\u015ftirme yolculu\u011fumuza ba\u015fl\u0131yoruz. \u00d6ncelikle, uygulaman\u0131n temel yap\u0131ta\u015flar\u0131n\u0131 olu\u015fturacak AWS servislerini tan\u0131taca\u011f\u0131m ve kurulum ad\u0131mlar\u0131n\u0131 ad\u0131m ad\u0131m a\u00e7\u0131klayaca\u011f\u0131m. Bu proje, bulut tabanl\u0131 uygulama geli\u015ftirmeye giri\u015f yapmak isteyenler i\u00e7in harika bir ba\u015flang\u0131\u00e7 noktas\u0131 olacakt\u0131r. \u0130lerleyen g\u00fcnlerde, uygulamam\u0131za daha fazla \u00f6zellik ekleyerek daha da geli\u015fmi\u015f hale getirece\u011fiz.<\/p>\n

\u00d6ncelikle, uygulamam\u0131z\u0131n mimarisini k\u0131saca \u00f6zetleyelim. Uygulama, \u00fc\u00e7 ana AWS servisinden olu\u015fmaktad\u0131r: Amazon S3 (statik i\u00e7erik depolama i\u00e7in), Amazon API Gateway (API isteklerini y\u00f6netmek i\u00e7in) ve AWS Lambda (sunucular\u0131 y\u00f6netmeden kod \u00e7al\u0131\u015ft\u0131rmak i\u00e7in). Bunlara ek olarak, veri saklama i\u00e7in Amazon DynamoDB kullanaca\u011f\u0131z.<\/p>\n

Gerekli Servislerin Kurulumu<\/h2>\n

\u0130lk ad\u0131m\u0131m\u0131z, gerekli AWS servislerini olu\u015fturmak. Bu i\u015flem, AWS y\u00f6netim konsolundan kolayca yap\u0131labilir. Amazon S3, Amazon API Gateway ve AWS Lambda servislerini olu\u015fturduktan sonra, bu servislerin do\u011fru bir \u015fekilde yap\u0131land\u0131r\u0131lmas\u0131 gerekiyor. \u00d6rne\u011fin, S3 i\u00e7in bir bucket olu\u015fturup, API Gateway i\u00e7in bir REST API olu\u015fturmal\u0131y\u0131z. Bu ad\u0131mlar, AWS konsolunun ilgili dok\u00fcmanlar\u0131nda detayl\u0131 bir \u015fekilde a\u00e7\u0131klanm\u0131\u015ft\u0131r. Ancak, ben burada temel ad\u0131mlar\u0131 \u00f6zetlemeye \u00e7al\u0131\u015faca\u011f\u0131m.<\/p>\n

Amazon S3 Kurulumu<\/h3>\n

S3 bucket’\u0131m\u0131z\u0131 olu\u015ftururken, uygun eri\u015fim kontrol listelerini (ACL) ayarlamam\u0131z \u00f6nemli. Bu, uygulamam\u0131z\u0131n g\u00fcvenli\u011fini sa\u011flamak i\u00e7in kritik bir ad\u0131md\u0131r. Ayr\u0131ca, statik web sitesi bar\u0131nd\u0131rma \u00f6zelli\u011fini etkinle\u015ftirmemiz gerekiyor. Bu, HTML, CSS ve JavaScript dosyalar\u0131m\u0131z\u0131n S3’te saklanmas\u0131n\u0131 ve do\u011frudan eri\u015filebilir olmas\u0131n\u0131 sa\u011flayacakt\u0131r. Daha fazla bilgi i\u00e7in AWS S3 dok\u00fcmanlar\u0131na buradan<\/a> ula\u015fabilirsiniz.<\/p>\n

Amazon API Gateway Kurulumu<\/h3>\n

API Gateway, uygulamam\u0131za gelen istekleri AWS Lambda fonksiyonuna y\u00f6nlendirir. REST API’\u0131m\u0131z\u0131 olu\u015fturduktan sonra, Lambda fonksiyonumuzu entegre etmemiz ve gerekli izinleri vermemiz gerekmektedir. API Gateway’in konfig\u00fcrasyonu, uygulaman\u0131n nas\u0131l \u00e7al\u0131\u015faca\u011f\u0131na do\u011frudan etki eder. Bu y\u00fczden, bu ad\u0131ma dikkatlice yakla\u015fmal\u0131y\u0131z. API Gateway ile ilgili daha detayl\u0131 bilgi i\u00e7in AWS d\u00f6k\u00fcmanlar\u0131n\u0131 inceleyebilirsiniz.<\/p>\n

AWS Lambda Kurulumu<\/h3>\n

Lambda fonksiyonumuz, hava durumu verilerini \u00e7ekmek ve DynamoDB’ye kaydetmekten sorumludur. Python veya Node.js gibi tercih etti\u011finiz bir programlama dili kullanarak Lambda fonksiyonunu yazabilirsiniz. Bu fonksiyon, API Gateway’den gelen istekleri i\u015fleyip, gerekli i\u015flemleri yapar. Lambda fonksiyonunun kodunu yazarken, hata y\u00f6netimi ve performans optimizasyonuna dikkat etmeliyiz. Ayr\u0131ca, uygulamam\u0131z\u0131 \u00f6l\u00e7eklenebilir k\u0131lmak i\u00e7in Lambda’n\u0131n otomatik \u00f6l\u00e7eklendirme \u00f6zelli\u011fini kullanmay\u0131 d\u00fc\u015f\u00fcnebiliriz.<\/p>\n

Amazon DynamoDB Kurulumu<\/h3>\n

DynamoDB, uygulamam\u0131z\u0131n verilerini saklamak i\u00e7in kullanaca\u011f\u0131m\u0131z NoSQL veritaban\u0131d\u0131r. Hava durumu verilerini tablolar halinde d\u00fczenli bir \u015fekilde saklamak i\u00e7in DynamoDB tablosu olu\u015fturuyoruz. Bu tabloda, \u015fehir ad\u0131, s\u0131cakl\u0131k ve di\u011fer hava durumu verileri gibi alanlar yer alacakt\u0131r. Veritaban\u0131 tasar\u0131m\u0131na dikkat ederek, performans\u0131 ve \u00f6l\u00e7eklenebilirli\u011fi art\u0131rabiliriz.<\/p>\n

Sonu\u00e7<\/h2>\n

Bu ilk ad\u0131mda, AWS hava durumu panosu uygulamam\u0131z\u0131n temel altyap\u0131s\u0131n\u0131 kurduk. Bir sonraki ad\u0131mda, Lambda fonksiyonumuzun kodunu yaz\u0131p, API Gateway ve S3 ile entegrasyonunu tamamlayaca\u011f\u0131z. Bu s\u00fcre\u00e7te kar\u015f\u0131la\u015ft\u0131\u011f\u0131n\u0131z herhangi bir sorun i\u00e7in bana ula\u015fmaktan \u00e7ekinmeyin. Daha fazla bilgi i\u00e7in kendi web sitemi fatihsoysal.com<\/a> adresini ziyaret edebilirsiniz. Umar\u0131m bu makale faydal\u0131 olmu\u015ftur!<\/p>\n

#Etiketler
\nAWS, hava durumu, uygulama geli\u015ftirme, cloud computing, panosu, ad\u0131m ad\u0131m, kurulum, konfig\u00fcrasyon, Amazon S3, Amazon API Gateway, Lambda, DynamoDB, Amazon DynamoDB, REST API, bulut tabanl\u0131, \u00f6l\u00e7eklenebilirlik, hata y\u00f6netimi, performans optimizasyonu
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