G\u00fcn\u00fcm\u00fcz\u00fcn h\u0131zla de\u011fi\u015fen dijital d\u00fcnyas\u0131nda, uygulamalar\u0131n\u0131z i\u00e7in do\u011fru veritaban\u0131 \u00e7\u00f6z\u00fcm\u00fcn\u00fc se\u00e7mek, projenizin ba\u015far\u0131s\u0131 i\u00e7in kritik \u00f6neme sahiptir. Amazon Web Services (AWS), bu konuda zengin se\u00e7enekler sunar ve en pop\u00fcler ikiliden ikisi Amazon Relational Database Service (RDS) ve Amazon DynamoDB’dir. Her ikisi de bulutta y\u00f6netilen veritaban\u0131 hizmetleri olsa da, temel mimarileri, kullan\u0131m senaryolar\u0131 ve sunduklar\u0131 avantajlar a\u00e7\u0131s\u0131ndan \u00f6nemli farkl\u0131l\u0131klar g\u00f6sterirler. Bu makalede, bu iki g\u00fc\u00e7l\u00fc veritaban\u0131 \u00e7\u00f6z\u00fcm\u00fcn\u00fc derinlemesine inceleyecek, aralar\u0131ndaki farklar\u0131 ortaya koyacak ve projeniz i\u00e7in en uygun se\u00e7imi yapman\u0131za yard\u0131mc\u0131 olacak bir yol haritas\u0131 sunaca\u011f\u0131z.<\/p>\n
AWS ekosistemindeki veritaban\u0131 se\u00e7enekleri aras\u0131nda, ili\u015fkisel ve NoSQL paradigmalar\u0131 temel bir ayr\u0131m noktas\u0131d\u0131r. RDS ve DynamoDB, bu iki farkl\u0131 yakla\u015f\u0131m\u0131n en \u00f6nde gelen temsilcileridir.<\/p>\n
Amazon RDS, bulutta ili\u015fkisel veritabanlar\u0131n\u0131 kurmay\u0131, \u00e7al\u0131\u015ft\u0131rmay\u0131 ve \u00f6l\u00e7eklendirmeyi kolayla\u015ft\u0131ran y\u00f6netilen bir hizmettir. MySQL, PostgreSQL, Oracle, SQL Server, MariaDB ve Amazon Aurora gibi pop\u00fcler veritaban\u0131 motorlar\u0131n\u0131 destekler. RDS, geleneksel ili\u015fkisel veritabanlar\u0131n\u0131n sundu\u011fu ACID (Atomicity, Consistency, Isolation, Durability) \u00f6zelliklerini ve g\u00fc\u00e7l\u00fc veri tutarl\u0131l\u0131\u011f\u0131n\u0131 korurken, y\u00f6netimsel g\u00f6revlerin (yedekleme, yama uygulama, donan\u0131m sa\u011flama) \u00e7o\u011funu AWS’ye devreder.<\/p>\n
Amazon DynamoDB, tamamen y\u00f6netilen, sunucusuz, anahtar-de\u011fer ve belge veritaban\u0131 hizmeti olarak \u00f6ne \u00e7\u0131kar. NoSQL veritaban\u0131 ailesine aittir ve milisaniyelerin alt\u0131nda performansla herhangi bir \u00f6l\u00e7ekte \u00e7al\u0131\u015fmak \u00fczere tasarlanm\u0131\u015ft\u0131r. Y\u00fcksek eri\u015filebilirlik, dayan\u0131kl\u0131l\u0131k ve esneklik sunar. \u015eemas\u0131z yap\u0131s\u0131 sayesinde, verilerinizin yap\u0131s\u0131n\u0131 \u00f6nceden tan\u0131mlamak zorunda kalmadan h\u0131zla geli\u015ftirme yapman\u0131za olanak tan\u0131r.<\/p>\n
RDS ili\u015fkisel bir veritaban\u0131 olarak, verileri \u00f6nceden tan\u0131mlanm\u0131\u015f \u015femalarla tablolarda saklar ve SQL (Yap\u0131sal Sorgu Dili) kullanarak sorgulan\u0131r. Veri b\u00fct\u00fcnl\u00fc\u011f\u00fc, ili\u015fkiler ve karma\u015f\u0131k birle\u015ftirme i\u015flemleri i\u00e7in idealdir. DynamoDB ise NoSQL bir veritaban\u0131 olarak, anahtar-de\u011fer veya belge tabanl\u0131 veri modellerini kullan\u0131r. Esnek \u015femas\u0131 sayesinde h\u0131zla de\u011fi\u015fen veri yap\u0131lar\u0131na uyum sa\u011flar ve y\u00fcksek \u00f6l\u00e7ekli, d\u00fc\u015f\u00fck gecikmeli okuma\/yazma i\u015flemleri i\u00e7in optimize edilmi\u015ftir. \u0130li\u015fkisel birle\u015ftirme i\u015flemleri DynamoDB’nin do\u011fal yap\u0131s\u0131nda bulunmaz.<\/p>\n
Uygulamalar\u0131n b\u00fcy\u00fcmesiyle birlikte veritaban\u0131n\u0131n \u00f6l\u00e7eklenebilirlik yetene\u011fi kritik hale gelir. RDS ve DynamoDB, bu konuda farkl\u0131 mekanizmalar sunar.<\/p>\n
RDS, dikey ve yatay \u00f6l\u00e7eklendirme se\u00e7enekleri sunar. Dikey \u00f6l\u00e7eklendirme, veritaban\u0131 \u00f6rne\u011finizin i\u015flemci, bellek ve depolama kapasitesini art\u0131rmak anlam\u0131na gelir. Yatay \u00f6l\u00e7eklendirme ise okuma replikalar\u0131 (read replicas) arac\u0131l\u0131\u011f\u0131yla ger\u00e7ekle\u015ftirilir. Okuma replikalar\u0131, ana veritaban\u0131 \u00f6rne\u011finin y\u00fck\u00fcn\u00fc hafifleterek okuma yo\u011fun uygulamalar i\u00e7in performans\u0131 art\u0131r\u0131r. Ancak, yazma i\u015flemleri hala tek bir ana \u00f6rne\u011fe ba\u011fl\u0131d\u0131r ve bu bir performans darbo\u011faz\u0131 olu\u015fturabilir.<\/p>\n
DynamoDB, do\u011fas\u0131 gere\u011fi y\u00fcksek oranda \u00f6l\u00e7eklenebilirdir. Otomatik \u00f6l\u00e7eklendirme \u00f6zelli\u011fi sayesinde, uygulaman\u0131z\u0131n trafi\u011fine g\u00f6re okuma ve yazma kapasitesini otomatik olarak ayarlar. Bu, herhangi bir manuel m\u00fcdahale olmaks\u0131z\u0131n milyarlarca iste\u011fi ve terabaytlarca veriyi i\u015fleyebilmesini sa\u011flar. DynamoDB’nin da\u011f\u0131t\u0131lm\u0131\u015f mimarisi, performans\u0131 tutarl\u0131 bir \u015fekilde d\u00fc\u015f\u00fck milisaniye gecikme s\u00fcrelerinde tutar, trafik ne kadar artarsa arts\u0131n.<\/p>\n
Performans a\u00e7\u0131s\u0131ndan, DynamoDB genellikle \u00e7ok daha y\u00fcksek i\u015flem hacmi (throughput) ve daha d\u00fc\u015f\u00fck, tutarl\u0131 gecikme s\u00fcreleri sunar, \u00f6zellikle y\u00fcksek trafikli ve \u00f6ng\u00f6r\u00fclemeyen i\u015f y\u00fckleri i\u00e7in. RDS ise belirli bir boyuta kadar m\u00fckemmel performans sunar, ancak a\u015f\u0131r\u0131 y\u00fcksek yazma yo\u011funluklu i\u015f y\u00fcklerinde veya anl\u0131k trafik art\u0131\u015flar\u0131nda \u00f6l\u00e7eklendirme ve performans optimizasyonu daha fazla y\u00f6netim gerektirebilir. DynamoDB, tek haneli milisaniye gecikme s\u00fcresi garantisi ile bilinirken, RDS performans\u0131 se\u00e7ilen \u00f6rnek tipine, depolama tipine ve veritaban\u0131 motoruna ba\u011fl\u0131 olarak de\u011fi\u015fir.<\/p>\n
Veritaban\u0131 se\u00e7imi yaparken maliyet ve operasyonel y\u00fck, g\u00f6z ard\u0131 edilmemesi gereken \u00f6nemli fakt\u00f6rlerdir.<\/p>\n
RDS’in maliyeti, se\u00e7ti\u011finiz veritaban\u0131 motoruna, \u00f6rnek tipine (CPU, RAM), depolama t\u00fcr\u00fcne (SSD, manyetik), depolama boyutuna, veri transferine ve yedekleme depolamas\u0131na g\u00f6re de\u011fi\u015fir. Genellikle, belirli bir kapasiteyi \u00f6nceden tahsis etmeniz gerekir ve bu kapasiteyi kullanmasan\u0131z bile maliyet olu\u015fur. Ayr\u0131ca, lisans maliyetleri (Oracle, SQL Server gibi) de toplam maliyeti etkileyebilir. Y\u00f6netim y\u00fck\u00fc AWS taraf\u0131ndan b\u00fcy\u00fck \u00f6l\u00e7\u00fcde azalt\u0131lsa da, yine de \u00f6rnek boyutunu, yedekleme politikalar\u0131n\u0131 ve performans ayarlamalar\u0131n\u0131 y\u00f6netmeniz gerekebilir.<\/p>\n
DynamoDB’nin maliyeti, kulland\u0131\u011f\u0131n\u0131z okuma ve yazma kapasitesi birimlerine (RCU\/WCU), depolama miktar\u0131na ve veri transferine g\u00f6re belirlenir. \u0130ki kapasite modu sunar: \u0130ste\u011fe Ba\u011fl\u0131 (On-Demand) ve Sa\u011flanan (Provisioned). \u0130ste\u011fe Ba\u011fl\u0131 modda, kulland\u0131\u011f\u0131n\u0131z kadar \u00f6dersiniz ve otomatik \u00f6l\u00e7eklenmeyle u\u011fra\u015fmazs\u0131n\u0131z. Sa\u011flanan modda ise belirli bir kapasiteyi \u00f6nceden tahsis edersiniz, bu da maliyet optimizasyonu sa\u011flayabilir. DynamoDB sunucusuz oldu\u011fu i\u00e7in, altyap\u0131 y\u00f6netimiyle ilgili hi\u00e7bir operasyonel y\u00fck\u00fcn\u00fcz olmaz.<\/p>\n
Toplam sahip olma maliyeti a\u00e7\u0131s\u0131ndan, ba\u015flang\u0131\u00e7ta RDS daha tan\u0131d\u0131k gelebilirken, y\u00fcksek \u00f6l\u00e7ekli ve de\u011fi\u015fken i\u015f y\u00fcklerinde DynamoDB’nin “kulland\u0131\u011f\u0131n kadar \u00f6de” modeli ve s\u0131f\u0131r y\u00f6netim y\u00fck\u00fc uzun vadede daha uygun maliyetli olabilir. RDS’te performans optimizasyonu ve y\u00f6netim i\u00e7in harcanan insan kayna\u011f\u0131 maliyetleri de TCO’ya dahil edilmelidir. DynamoDB’nin tamamen y\u00f6netilen yap\u0131s\u0131, operasyonel maliyetleri \u00f6nemli \u00f6l\u00e7\u00fcde d\u00fc\u015f\u00fcr\u00fcr.<\/p>\n
Her iki hizmetin de g\u00fc\u00e7l\u00fc y\u00f6nleri oldu\u011fundan, belirli kullan\u0131m senaryolar\u0131 i\u00e7in daha uygun olabilirler.<\/p>\n
Baz\u0131 durumlarda, her iki veritaban\u0131n\u0131n g\u00fc\u00e7l\u00fc y\u00f6nlerini birle\u015ftiren hibrit bir yakla\u015f\u0131m en iyi \u00e7\u00f6z\u00fcm olabilir. \u00d6rne\u011fin, uygulaman\u0131z\u0131n ana i\u015flem verilerini RDS’te tutarken, y\u00fcksek \u00f6l\u00e7ekli ve d\u00fc\u015f\u00fck gecikmeli kullan\u0131c\u0131 oturumlar\u0131 veya \u00f6nbelle\u011fe alma i\u015flemleri i\u00e7in DynamoDB kullanabilirsiniz. Bu, her iki d\u00fcnyan\u0131n en iyisini elde etmenizi sa\u011flar ve uygulaman\u0131z\u0131n farkl\u0131 bile\u015fenlerinin \u00f6zel ihtiya\u00e7lar\u0131na cevap verir.<\/p>\n
Veritaban\u0131 se\u00e7imi, uygulaman\u0131z\u0131n veri modelleme ve sorgulama ihtiya\u00e7lar\u0131yla do\u011frudan ili\u015fkilidir.<\/p>\n
RDS, verileri tablolar, sat\u0131rlar ve s\u00fctunlar halinde d\u00fczenleyen geleneksel ili\u015fkisel veri modelini kullan\u0131r. Veriler aras\u0131ndaki ili\u015fkiler birincil ve yabanc\u0131 anahtarlar arac\u0131l\u0131\u011f\u0131yla tan\u0131mlan\u0131r. Bu yap\u0131, veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc sa\u011flamak ve karma\u015f\u0131k, \u00e7ok tablolu sorgular\u0131 kolayca y\u00fcr\u00fctmek i\u00e7in idealdir. SQL, veri manip\u00fclasyonu ve sorgulama i\u00e7in standart dildir ve geli\u015ftiricilere g\u00fc\u00e7l\u00fc ve esnek bir ara\u00e7 seti sunar.<\/p>\n
\n-- \u00d6rnek bir SQL sorgusu (RDS i\u00e7in)\nSELECT\n o.order_id,\n c.customer_name,\n p.product_name,\n oi.quantity,\n oi.price\nFROM\n Orders o\nJOIN\n Customers c ON o.customer_id = c.customer_id\nJOIN\n OrderItems oi ON o.order_id = oi.order_id\nJOIN\n Products p ON oi.product_id = p.product_id\nWHERE\n o.order_date > '2023-01-01'\nORDER BY\n o.order_id;\n<\/pre>\n<\/code><\/p>\n
DynamoDB'nin Esnek \u015eemas\u0131<\/h3>\n
DynamoDB, \u015femas\u0131z bir yap\u0131ya sahiptir, yani bir tablodaki \u00f6\u011felerin ayn\u0131 \u00f6zniteliklere sahip olmas\u0131 gerekmez. Her \u00f6\u011fe (item), birincil anahtar (partition key ve iste\u011fe ba\u011fl\u0131 sort key) ile tan\u0131mlan\u0131r ve birden fazla \u00f6znitelik i\u00e7erebilir. Bu esneklik, h\u0131zla de\u011fi\u015fen veri yap\u0131lar\u0131na sahip uygulamalar i\u00e7in b\u00fcy\u00fck bir avantajd\u0131r. Sorgulama, birincil anahtarlar veya ikincil indeksler (Global Secondary Index - GSI, Local Secondary Index - LSI) \u00fczerinden yap\u0131l\u0131r.<\/p>\n
\n\/\/ \u00d6rnek bir DynamoDB getItem i\u015flemi (JavaScript SDK)\nconst AWS = require('aws-sdk');\nconst dynamodb = new AWS.DynamoDB.DocumentClient();\n\nasync function getProduct(productId) {\n const params = {\n TableName: 'Products',\n Key: {\n 'ProductID': productId\n }\n };\n try {\n const data = await dynamodb.get(params).promise();\n console.log(\"Success\", data.Item);\n return data.Item;\n } catch (err) {\n console.error(\"Error\", err);\n }\n}\n\ngetProduct('P12345');\n<\/pre>\n<\/code><\/p>\n
Sorgulama Dilleri ve Karma\u015f\u0131kl\u0131\u011f\u0131<\/h3>\n
SQL, RDS i\u00e7in standart ve g\u00fc\u00e7l\u00fc bir sorgulama dilidir. Karma\u015f\u0131k birle\u015ftirmeler, alt sorgular ve analitik fonksiyonlar gibi geli\u015fmi\u015f \u00f6zellikler sunar. DynamoDB ise SQL benzeri bir dil olan PartiQL'i desteklese de, genellikle API \u00e7a\u011fr\u0131lar\u0131 (GetItem, Query, Scan) veya SDK'lar arac\u0131l\u0131\u011f\u0131yla programatik olarak eri\u015filir. DynamoDB'de karma\u015f\u0131k ili\u015fkisel sorgular veya birle\u015ftirmeler yapmak, uygulama katman\u0131nda ek mant\u0131k gerektirebilir ve bu da geli\u015ftirme karma\u015f\u0131kl\u0131\u011f\u0131n\u0131 art\u0131rabilir.<\/p>\n
Y\u00f6netim ve Operasyonel Y\u00fck<\/h2>\n
Veritaban\u0131 y\u00f6netimi, bir projenin toplam maliyetini ve geli\u015ftirme h\u0131z\u0131n\u0131 do\u011frudan etkileyen \u00f6nemli bir fakt\u00f6rd\u00fcr.<\/p>\n
RDS'te Y\u00f6netim Kolayl\u0131\u011f\u0131<\/h3>\n
RDS, geleneksel veritaban\u0131 y\u00f6netiminin bir\u00e7ok zorlu\u011funu ortadan kald\u0131r\u0131r. AWS, donan\u0131m sa\u011flama, i\u015fletim sistemi ve veritaban\u0131 yaz\u0131l\u0131m\u0131 kurulumu, yedekleme, yama uygulama ve felaket kurtarma gibi g\u00f6revlerin \u00e7o\u011funu \u00fcstlenir. Ancak, veritaban\u0131 motorunun kendisi, performans ayarlar\u0131, indeksleme, sorgu optimizasyonu ve belirli g\u00fcvenlik yap\u0131land\u0131rmalar\u0131 hala sizin sorumlulu\u011funuzdad\u0131r. Bu, belirli bir d\u00fczeyde veritaban\u0131 y\u00f6neticisi (DBA) bilgisi gerektirebilir.<\/p>\n
DynamoDB'nin Tamamen Y\u00f6netilen Yap\u0131s\u0131<\/h3>\n
DynamoDB, \"tamamen y\u00f6netilen\" bir hizmet olman\u0131n en iyi \u00f6rneklerinden biridir. Sunucu sa\u011flama, yama uygulama, yedekleme, \u00f6l\u00e7eklendirme ve hatta i\u015fletim sistemi bak\u0131m\u0131 gibi t\u00fcm operasyonel g\u00f6revleri AWS \u00fcstlenir. Geli\u015ftiriciler sadece veri modellemesine ve uygulama mant\u0131\u011f\u0131na odaklanabilirler. Bu, operasyonel y\u00fck\u00fc s\u0131f\u0131ra indirir ve ekiplerin daha h\u0131zl\u0131 yenilik yapmas\u0131na olanak tan\u0131r. Sunucusuz mimarilerle m\u00fckemmel bir uyum i\u00e7indedir.<\/p>\n
Operasyonel Sorumluluklar<\/h3>\n
\u00d6zetle, RDS ile AWS, \"bulutun sorumlulu\u011fu\" modelinde i\u015fletim sistemi ve donan\u0131m katman\u0131n\u0131 y\u00f6netirken, veritaban\u0131 motoru katman\u0131 i\u00e7in baz\u0131 sorumluluklar size aittir. DynamoDB ile ise, neredeyse t\u00fcm operasyonel sorumluluklar AWS'ye aittir; sizin tek sorumlulu\u011funuz veri modellemenizi ve eri\u015fim desenlerinizi do\u011fru tasarlamakt\u0131r. Bu, DevOps ekipleri \u00fczerindeki bask\u0131y\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde azalt\u0131r.<\/p>\n
G\u00fcvenlik ve Yedekleme<\/h2>\n
Veri g\u00fcvenli\u011fi ve felaket kurtarma, her veritaban\u0131 \u00e7\u00f6z\u00fcm\u00fcnde \u00f6ncelikli konulard\u0131r.<\/p>\n
RDS G\u00fcvenlik \u00d6zellikleri<\/h3>\n
RDS, verilerinizi korumak i\u00e7in kapsaml\u0131 g\u00fcvenlik \u00f6zellikleri sunar. Bunlar aras\u0131nda a\u011f izolasyonu (Amazon VPC), depolamada \u015fifreleme (KMS ile), aktar\u0131m halindeki verilerin \u015fifrelenmesi (SSL\/TLS), AWS IAM entegrasyonu ile eri\u015fim kontrol\u00fc ve veritaban\u0131 motorunun kendi g\u00fcvenlik mekanizmalar\u0131 (kullan\u0131c\u0131\/rol y\u00f6netimi) bulunur. Ayr\u0131ca, g\u00fcvenlik gruplar\u0131 ve a\u011f ACL'leri ile a\u011f trafi\u011fini kontrol edebilirsiniz.<\/p>\n
DynamoDB G\u00fcvenlik \u00d6zellikleri<\/h3>\n
DynamoDB de g\u00fc\u00e7l\u00fc g\u00fcvenlik yetenekleriyle donat\u0131lm\u0131\u015ft\u0131r. T\u00fcm veriler varsay\u0131lan olarak depolamada \u015fifrelenir ve aktar\u0131m halindeki veriler SSL\/TLS kullan\u0131larak \u015fifrelenir. AWS IAM ile ayr\u0131nt\u0131l\u0131 eri\u015fim kontrol\u00fc sa\u011flayabilir, belirli kullan\u0131c\u0131lara veya rollere tablo d\u00fczeyinde, \u00f6\u011fe d\u00fczeyinde ve hatta \u00f6znitelik d\u00fczeyinde izinler verebilirsiniz. Ayr\u0131ca, DynamoDB Streams ile veri de\u011fi\u015fikliklerini ger\u00e7ek zamanl\u0131 olarak yakalayabilir ve bu ak\u0131\u015flar\u0131 g\u00fcvenlik denetimleri i\u00e7in kullanabilirsiniz.<\/p>\n
Yedekleme ve Felaket Kurtarma<\/h3>\n
Her iki hizmet de otomatik yedekleme ve felaket kurtarma \u00f6zellikleri sunar. RDS, otomatik anl\u0131k g\u00f6r\u00fcnt\u00fcler (snapshot) al\u0131r ve belirli bir noktaya geri y\u00fckleme (point-in-time recovery) imkan\u0131 sunar. Ayr\u0131ca, farkl\u0131 AWS b\u00f6lgelerine kopyalanabilen okuma replikalar\u0131 veya Multi-AZ da\u011f\u0131t\u0131mlar\u0131 ile y\u00fcksek eri\u015filebilirlik ve felaket kurtarma sa\u011flayabilirsiniz. DynamoDB, Point-in-Time Recovery (PITR) \u00f6zelli\u011fi ile son 35 g\u00fcne kadar herhangi bir saniyeye geri d\u00f6n\u00fc\u015f imkan\u0131 sunar ve s\u00fcrekli yedekleme yapar. Ayr\u0131ca, Global Tables \u00f6zelli\u011fi ile verilerinizi birden fazla AWS b\u00f6lgesinde otomatik olarak \u00e7o\u011faltarak ola\u011fan\u00fcst\u00fc bir felaket kurtarma ve d\u00fc\u015f\u00fck gecikmeli k\u00fcresel eri\u015fim sa\u011flar.<\/p>\n
Sonu\u00e7<\/h2>\n
Amazon RDS ve Amazon DynamoDB, her biri kendi benzersiz avantajlara sahip g\u00fc\u00e7l\u00fc veritaban\u0131 hizmetleridir. RDS, geleneksel ili\u015fkisel veritaban\u0131 ihtiya\u00e7lar\u0131 olan, karma\u015f\u0131k sorgular ve g\u00fc\u00e7l\u00fc ACID tutarl\u0131l\u0131\u011f\u0131 gerektiren uygulamalar i\u00e7in m\u00fckemmel bir se\u00e7imdir. DynamoDB ise y\u00fcksek \u00f6l\u00e7ekli, d\u00fc\u015f\u00fck gecikmeli, esnek \u015femal\u0131 ve sunucusuz mimariler i\u00e7in idealdir. Do\u011fru se\u00e7imi yapmak, uygulaman\u0131z\u0131n veri modeline, \u00f6l\u00e7eklenebilirlik gereksinimlerine, performans beklentilerine, maliyet k\u0131s\u0131tlamalar\u0131na ve y\u00f6netim tercihlerinize ba\u011fl\u0131d\u0131r. Genellikle, uygulaman\u0131z\u0131n ihtiya\u00e7lar\u0131n\u0131 dikkatlice analiz ederek ve her iki hizmetin g\u00fc\u00e7l\u00fc y\u00f6nlerini g\u00f6z \u00f6n\u00fcnde bulundurarak en uygun karar\u0131 verebilirsiniz. Hatta, farkl\u0131 uygulama bile\u015fenleri i\u00e7in hibrit bir yakla\u015f\u0131m benimsemek de ak\u0131ll\u0131ca bir strateji olabilir.<\/p>\n
SSS (S\u0131k Sorulan Sorular)<\/h2>\n1. Hangi veritaban\u0131 daha ucuzdur, RDS mi DynamoDB mi?<\/h3>\n
Maliyet, kullan\u0131m \u015feklinize ba\u011fl\u0131d\u0131r. D\u00fc\u015f\u00fck ve orta \u00f6l\u00e7ekli, \u00f6ng\u00f6r\u00fclebilir i\u015f y\u00fcklerinde RDS daha uygun olabilirken, y\u00fcksek \u00f6l\u00e7ekli, de\u011fi\u015fken ve anl\u0131k trafik art\u0131\u015flar\u0131 olan uygulamalarda DynamoDB'nin \"kulland\u0131\u011f\u0131n kadar \u00f6de\" modeli ve s\u0131f\u0131r y\u00f6netim maliyeti genellikle daha ekonomiktir.<\/p>\n
2. Uygulamamda hem ili\u015fkisel hem de NoSQL verilere ihtiyac\u0131m varsa ne yapmal\u0131y\u0131m?<\/h3>\n
Bu durumda hibrit bir yakla\u015f\u0131m benimseyebilirsiniz. \u0130li\u015fkisel verileriniz i\u00e7in RDS'i, y\u00fcksek \u00f6l\u00e7ekli ve esnek yap\u0131daki verileriniz i\u00e7in ise DynamoDB'yi kullanabilirsiniz. \u00d6rne\u011fin, ana i\u015flem verilerini RDS'te, kullan\u0131c\u0131 oturumlar\u0131n\u0131 veya ki\u015fiselle\u015ftirme verilerini DynamoDB'de saklayabilirsiniz.<\/p>\n
3. DynamoDB'de SQL sorgular\u0131 \u00e7al\u0131\u015ft\u0131rabilir miyim?<\/h3>\n
Evet, DynamoDB, SQL benzeri bir dil olan PartiQL'i destekler. Ancak, geleneksel ili\u015fkisel veritabanlar\u0131ndaki karma\u015f\u0131k JOIN i\u015flemleri veya analitik sorgular gibi t\u00fcm SQL \u00f6zelliklerini sunmaz. Genellikle API \u00e7a\u011fr\u0131lar\u0131 (GetItem, Query, Scan) daha yayg\u0131n kullan\u0131l\u0131r.<\/p>\n
4. RDS'i se\u00e7ersem, veritaban\u0131 y\u00f6neticisi (DBA) bilgisine ihtiyac\u0131m olur mu?<\/h3>\n
AWS, RDS'in bir\u00e7ok y\u00f6netim g\u00f6revini \u00fcstlenir, ancak veritaban\u0131 motorunun kendisiyle ilgili performans ayarlamalar\u0131, indeks optimizasyonlar\u0131, karma\u015f\u0131k sorgu sorun giderme ve belirli g\u00fcvenlik yap\u0131land\u0131rmalar\u0131 i\u00e7in temel d\u00fczeyde DBA bilgisi veya bir uzman deste\u011fi faydal\u0131 olacakt\u0131r.<\/p>\n
5. Y\u00fcksek eri\u015filebilirlik ve felaket kurtarma i\u00e7in hangi hizmet daha iyi?<\/h3>\n
Her ikisi de g\u00fc\u00e7l\u00fc y\u00fcksek eri\u015filebilirlik ve felaket kurtarma \u00f6zellikleri sunar. RDS, Multi-AZ da\u011f\u0131t\u0131mlar\u0131 ve okuma replikalar\u0131 ile bu yetenekleri sa\u011flarken, DynamoDB, do\u011fas\u0131 gere\u011fi da\u011f\u0131t\u0131k yap\u0131s\u0131 ve Global Tables \u00f6zelli\u011fi ile ola\u011fan\u00fcst\u00fc bir k\u00fcresel eri\u015filebilirlik ve felaket kurtarma sunar.<\/p>\n","protected":false},"excerpt":{"rendered":"G\u00fcn\u00fcm\u00fcz\u00fcn h\u0131zla de\u011fi\u015fen dijital d\u00fcnyas\u0131nda, uygulamalar\u0131n\u0131z i\u00e7in do\u011fru veritaban\u0131 \u00e7\u00f6z\u00fcm\u00fcn\u00fc se\u00e7mek, projenizin ba\u015far\u0131s\u0131 i\u00e7in kritik \u00f6…","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-36730","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\n
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