{"id":38355,"date":"2026-01-29T16:00:38","date_gmt":"2026-01-29T13:00:38","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/aws-cdk-hotswap-deployments-ile-bedrock-agentcore-runtime-destegi-uretken-yapay-zeka-gelistirmede-devrim\/"},"modified":"2026-01-29T16:00:38","modified_gmt":"2026-01-29T13:00:38","slug":"aws-cdk-hotswap-deployments-ile-bedrock-agentcore-runtime-destegi-uretken-yapay-zeka-gelistirmede-devrim","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/aws-cdk-hotswap-deployments-ile-bedrock-agentcore-runtime-destegi-uretken-yapay-zeka-gelistirmede-devrim\/","title":{"rendered":"AWS CDK Hotswap Deployments ile Bedrock AgentCore Runtime Deste\u011fi: \u00dcretken Yapay Zeka Geli\u015ftirmede Devrim"},"content":{"rendered":"

AWS CDK Hotswap Deployments ile Bedrock AgentCore Runtime Deste\u011fi: \u00dcretken Yapay Zeka Geli\u015ftirmede Devrim<\/h2>\n

AWS Cloud Development Kit (CDK), bulut kaynaklar\u0131n\u0131 tan\u0131d\u0131k programlama dilleriyle tan\u0131mlaman\u0131za olanak tan\u0131yan g\u00fc\u00e7l\u00fc bir ara\u00e7t\u0131r. Geleneksel CDK da\u011f\u0131t\u0131mlar\u0131 genellikle uzun s\u00fcrebilirken, Hotswap da\u011f\u0131t\u0131mlar\u0131 geli\u015ftiricilere an\u0131nda geri bildirim sa\u011flayarak iterasyon h\u0131z\u0131n\u0131 art\u0131r\u0131r. Bu heyecan verici geli\u015fmeyle birlikte, AWS CDK Hotswap da\u011f\u0131t\u0131mlar\u0131 art\u0131k Amazon Bedrock’\u0131n AgentCore Runtime’\u0131n\u0131 da destekliyor. Bu entegrasyon, \u00fcretken yapay zeka uygulamalar\u0131 geli\u015ftiren ekipler i\u00e7in geli\u015ftirme d\u00f6ng\u00fcs\u00fcn\u00fc dramatik bir \u015fekilde h\u0131zland\u0131rarak, yenilikleri \u00e7ok daha \u00e7evik bir \u015fekilde hayata ge\u00e7irmelerine olanak tan\u0131yor.<\/p>\n

AWS CDK ve Hotswap Da\u011f\u0131t\u0131mlar\u0131n\u0131n G\u00fcc\u00fc<\/h3>\n

AWS bulut kaynaklar\u0131n\u0131 kod arac\u0131l\u0131\u011f\u0131yla y\u00f6netmek, modern yaz\u0131l\u0131m geli\u015ftirmenin temel ta\u015flar\u0131ndan biridir. AWS CDK, bu s\u00fcreci kolayla\u015ft\u0131ran ve geli\u015ftiricilere tan\u0131d\u0131k dillerde (TypeScript, Python, Java, C# vb.) altyap\u0131lar\u0131n\u0131 tan\u0131mlama imkan\u0131 sunan bir ara\u00e7t\u0131r.<\/p>\n

AWS CDK Nedir?<\/h4>\n

AWS CDK, geli\u015ftiricilerin AWS altyap\u0131s\u0131n\u0131 kod olarak (Infrastructure as Code – IaC) tan\u0131mlamalar\u0131n\u0131 sa\u011flayan a\u00e7\u0131k kaynakl\u0131 bir yaz\u0131l\u0131m geli\u015ftirme \u00e7er\u00e7evesidir. Geleneksel YAML veya JSON tabanl\u0131 CloudFormation \u015fablonlar\u0131na k\u0131yasla daha y\u00fcksek soyutlama seviyeleri sunar. Bu sayede, karma\u015f\u0131k bulut mimarileri daha az kodla ve daha az hata yapma potansiyeliyle olu\u015fturulabilir.<\/p>\n

Geleneksel CDK Da\u011f\u0131t\u0131mlar\u0131n\u0131n Zorluklar\u0131<\/h4>\n

Geleneksel bir CDK da\u011f\u0131t\u0131m\u0131 (cdk deploy<\/code> komutuyla), CloudFormation’\u0131n t\u00fcm kaynaklar\u0131 yeniden sa\u011flamas\u0131n\u0131 veya g\u00fcncellemesini gerektirir. Bu s\u00fcre\u00e7, \u00f6zellikle b\u00fcy\u00fck ve karma\u015f\u0131k uygulamalar i\u00e7in dakikalar, hatta bazen on dakikalar s\u00fcrebilir. Geli\u015ftiriciler, k\u00fc\u00e7\u00fck bir kod de\u011fi\u015fikli\u011fini test etmek i\u00e7in bu uzun bekleme s\u00fcrelerini katlanmak zorunda kal\u0131r; bu da verimlili\u011fi d\u00fc\u015f\u00fcr\u00fcr ve geli\u015ftirme ak\u0131\u015f\u0131n\u0131 bozar.<\/p>\n

Hotswap Da\u011f\u0131t\u0131mlar\u0131 Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/h4>\n

Hotswap da\u011f\u0131t\u0131mlar\u0131, cdk deploy --hotswap<\/code> komutuyla tetiklenir ve sadece de\u011fi\u015ftirilen kaynaklar\u0131 h\u0131zl\u0131 bir \u015fekilde g\u00fcncelleyerek bu bekleme s\u00fcrelerini ortadan kald\u0131rmay\u0131 hedefler. CDK CLI, yerel kodunuzdaki de\u011fi\u015fiklikleri analiz eder ve bu de\u011fi\u015fiklikleri yans\u0131tan CloudFormation de\u011fi\u015fiklik setleri olu\u015fturmak yerine, do\u011frudan AWS API’lerini kullanarak ilgili kaynaklar\u0131 (\u00f6rne\u011fin, bir Lambda fonksiyonunun kodunu veya bir Step Functions tan\u0131m\u0131n\u0131) g\u00fcnceller. Bu, genellikle saniyeler i\u00e7inde tamamlan\u0131r.<\/p>\n

Hotswap’\u0131n Avantajlar\u0131<\/h4>\n
    \n
  • H\u0131z:<\/b> Da\u011f\u0131t\u0131m s\u00fcrelerini dakikalardan saniyelere indirir.<\/li>\n
  • Geli\u015ftirici Deneyimi:<\/b> An\u0131nda geri bildirim sa\u011flayarak geli\u015ftirme d\u00f6ng\u00fcs\u00fcn\u00fc h\u0131zland\u0131r\u0131r.<\/li>\n
  • Verimlilik:<\/b> Geli\u015ftiricilerin daha fazla iterasyon yapmas\u0131na ve daha h\u0131zl\u0131 yenilikler sunmas\u0131na olanak tan\u0131r.<\/li>\n
  • Maliyet Tasarrufu:<\/b> Geli\u015ftirme s\u00fcrecindeki bekleme s\u00fcrelerini azaltarak geli\u015ftirici zaman\u0131ndan tasarruf sa\u011flar.<\/li>\n<\/ul>\n

    Amazon Bedrock ve AgentCore Runtime’a Derin Bak\u0131\u015f<\/h3>\n

    \u00dcretken yapay zeka (Generative AI) alan\u0131 h\u0131zla geli\u015firken, Amazon Bedrock bu alandaki uygulamalar\u0131 kolayla\u015ft\u0131rmak i\u00e7in kritik bir rol oynamaktad\u0131r. Bedrock, temel modelleri (Foundation Models – FM’ler) kullanarak g\u00fc\u00e7l\u00fc AI uygulamalar\u0131 olu\u015fturmak i\u00e7in y\u00f6netilen bir hizmet sunar.<\/p>\n

    Amazon Bedrock Nedir?<\/h4>\n

    Amazon Bedrock, \u00f6nde gelen yapay zeka \u015firketlerinin ve Amazon’un kendi geli\u015ftirdi\u011fi temel modellere (FM’ler) API eri\u015fimi sa\u011flayan tam olarak y\u00f6netilen bir hizmettir. Bu modeller, metin olu\u015fturma, \u00f6zetleme, soru yan\u0131tlama, kod yazma ve g\u00f6r\u00fcnt\u00fc olu\u015fturma gibi geni\u015f bir yelpazede g\u00f6revleri yerine getirebilir. Bedrock, bu modelleri kendi verilerinizle \u00f6zelle\u015ftirmenize ve g\u00fcvenli bir \u015fekilde da\u011f\u0131tman\u0131za olanak tan\u0131r.<\/p>\n

    \u00dcretken Yapay Zeka Uygulamalar\u0131nda Bedrock’\u0131n Rol\u00fc<\/h4>\n

    Bedrock, geli\u015ftiricilerin s\u0131f\u0131rdan model e\u011fitme y\u00fck\u00fcn\u00fc ortadan kald\u0131rarak \u00fcretken yapay zeka uygulamalar\u0131n\u0131 h\u0131zl\u0131 bir \u015fekilde olu\u015fturmas\u0131n\u0131 sa\u011flar. Sohbet robotlar\u0131, i\u00e7erik olu\u015fturma ara\u00e7lar\u0131, ak\u0131ll\u0131 asistanlar ve daha fazlas\u0131 gibi bir\u00e7ok farkl\u0131 kullan\u0131m senaryosunda temel bir platform g\u00f6revi g\u00f6r\u00fcr.<\/p>\n

    AgentCore Runtime Nedir ve Neden \u00d6nemli?<\/h4>\n

    AgentCore Runtime, Amazon Bedrock’\u0131n “Agents for Amazon Bedrock” \u00f6zelli\u011finin temelini olu\u015fturan bir bile\u015fendir. Bu ajanlar, temel modelleri kullanarak karma\u015f\u0131k g\u00f6revleri otonom bir \u015fekilde yerine getirebilen ak\u0131ll\u0131 sistemlerdir. AgentCore Runtime, bir ajan\u0131n belirli bir g\u00f6revi tamamlamak i\u00e7in hangi ad\u0131mlar\u0131 atmas\u0131 gerekti\u011fini, hangi ara\u00e7lar\u0131 (\u00f6rne\u011fin, Lambda fonksiyonlar\u0131) kullanmas\u0131 gerekti\u011fini ve bu ara\u00e7lar\u0131n \u00e7\u0131kt\u0131s\u0131n\u0131 nas\u0131l yorumlamas\u0131 gerekti\u011fini y\u00f6netir. K\u0131sacas\u0131, bir ajan\u0131n “beyni” ve “y\u00fcr\u00fctme motoru”dur.<\/p>\n

    AgentCore’un Temel Bile\u015fenleri<\/h4>\n

    Bir AgentCore ajan\u0131 genellikle \u015fu bile\u015fenlerden olu\u015fur:<\/p>\n

      \n
    • Temel Model (FM):<\/b> Ajan\u0131n ak\u0131l y\u00fcr\u00fctme ve karar verme yetene\u011fini sa\u011flayan model (\u00f6rne\u011fin, Anthropic Claude, Amazon Titan).<\/li>\n
    • Eylemler (Actions):<\/b> Ajan\u0131n d\u0131\u015f sistemlerle etkile\u015fim kurmas\u0131n\u0131 sa\u011flayan ara\u00e7lar (genellikle Lambda fonksiyonlar\u0131 veya API’ler).<\/li>\n
    • Bilgi Tabanlar\u0131 (Knowledge Bases):<\/b> Ajan\u0131n belirli bir konu hakk\u0131nda bilgi edinmesini sa\u011flayan veri depolar\u0131 (\u00f6rne\u011fin, belgeler, S3 nesneleri).<\/li>\n
    • Orkestrasyon Mant\u0131\u011f\u0131:<\/b> Ajan\u0131n g\u00f6revi tamamlamak i\u00e7in ad\u0131mlar\u0131 nas\u0131l s\u0131ralayaca\u011f\u0131n\u0131 ve y\u00f6netti\u011fini tan\u0131mlayan yap\u0131.<\/li>\n<\/ul>\n

      Hotswap Deste\u011finin Bedrock AgentCore \u0130\u00e7in Anlam\u0131<\/h3>\n

      Bedrock AgentCore Runtime’\u0131n Hotswap da\u011f\u0131t\u0131mlar\u0131yla desteklenmesi, \u00fcretken yapay zeka geli\u015ftirme s\u00fcre\u00e7lerinde \u00f6nemli bir d\u00f6n\u00fcm noktas\u0131d\u0131r. Bu entegrasyon, geli\u015ftiricilerin ajanlar\u0131n\u0131 daha h\u0131zl\u0131 yinelemelerle test etmelerine ve iyile\u015ftirmelerine olanak tan\u0131r.<\/p>\n

      Geleneksel Da\u011f\u0131t\u0131m S\u00fcre\u00e7leri ve Gecikmeler<\/h4>\n

      Daha \u00f6nce, bir Bedrock ajan\u0131nda yap\u0131lan k\u00fc\u00e7\u00fck bir de\u011fi\u015fiklik (\u00f6rne\u011fin, bir eylem grubunun tan\u0131m\u0131nda veya bir talimat setinde) genellikle tam bir CloudFormation da\u011f\u0131t\u0131m\u0131 gerektiriyordu. Bu, ajan\u0131n t\u00fcm bile\u015fenlerinin yeniden sa\u011flanmas\u0131 veya g\u00fcncellenmesi anlam\u0131na geliyordu ki bu da uzun bekleme s\u00fcrelerine yol a\u00e7\u0131yordu. Bu gecikmeler, \u00f6zellikle ajanlar\u0131n karma\u015f\u0131k davran\u0131\u015flar\u0131n\u0131 ince ayar yaparken veya yeni \u00f6zellikler eklerken geli\u015ftirme ak\u0131\u015f\u0131n\u0131 ciddi \u015fekilde kesintiye u\u011frat\u0131yordu.<\/p>\n

      Hotswap ile H\u0131zl\u0131 \u0130terasyon \u0130mkan\u0131<\/h4>\n

      Hotswap deste\u011fi sayesinde, art\u0131k Bedrock ajan\u0131n\u0131z\u0131n belirli bile\u015fenlerinde yapt\u0131\u011f\u0131n\u0131z de\u011fi\u015fiklikler saniyeler i\u00e7inde AWS ortam\u0131na yans\u0131t\u0131labilir. \u00d6rne\u011fin, bir ajan\u0131n talimatlar\u0131n\u0131 g\u00fcncelledi\u011finizde veya bir eylem grubunun \u015femas\u0131nda k\u00fc\u00e7\u00fck bir d\u00fczeltme yapt\u0131\u011f\u0131n\u0131zda, cdk deploy --hotswap<\/code> komutu bu de\u011fi\u015fiklikleri an\u0131nda uygulayacakt\u0131r. Bu, geli\u015ftiricilerin h\u0131zl\u0131 bir \u015fekilde denemeler yapmas\u0131na, sonu\u00e7lar\u0131 g\u00f6rmesine ve an\u0131nda ayarlamalar yapmas\u0131na olanak tan\u0131r.<\/p>\n

      Geli\u015ftirici Deneyiminde Devrim<\/h4>\n

      Bu \u00f6zellik, \u00fcretken yapay zeka geli\u015ftiricileri i\u00e7in oyunun kurallar\u0131n\u0131 de\u011fi\u015ftiriyor. Art\u0131k uzun da\u011f\u0131t\u0131m s\u00fcreleri nedeniyle yarat\u0131c\u0131l\u0131klar\u0131n\u0131n kesintiye u\u011framas\u0131 gerekmiyor. Geli\u015ftiriciler, fikirlerini daha h\u0131zl\u0131 test edebilir, farkl\u0131 yakla\u015f\u0131mlar\u0131 deneyebilir ve en iyi sonu\u00e7lar\u0131 elde etmek i\u00e7in s\u00fcrekli olarak iyile\u015ftirme yapabilirler. Bu, \u00f6zellikle karma\u015f\u0131k prompt m\u00fchendisli\u011fi veya eylem tan\u0131mlamalar\u0131 \u00fczerinde \u00e7al\u0131\u015f\u0131rken paha bi\u00e7ilmezdir.<\/p>\n

      Hata Ay\u0131klama ve Test S\u00fcre\u00e7lerinin H\u0131zlanmas\u0131<\/h4>\n

      Hotswap, hata ay\u0131klama ve test s\u00fcre\u00e7lerini de \u00f6nemli \u00f6l\u00e7\u00fcde h\u0131zland\u0131r\u0131r. Bir ajan\u0131n beklenmedik bir \u015fekilde davranmas\u0131 durumunda, geli\u015ftiriciler talimatlarda veya eylem tan\u0131mlamalar\u0131nda h\u0131zl\u0131 d\u00fczeltmeler yapabilir ve bunlar\u0131 an\u0131nda test edebilirler. Bu, sorunlar\u0131 daha \u00e7abuk te\u015fhis etmelerine ve \u00e7\u00f6zmelerine yard\u0131mc\u0131 olur, b\u00f6ylece geli\u015ftirme d\u00f6ng\u00fcs\u00fc boyunca daha az s\u00fcrt\u00fcnme ya\u015fan\u0131r.<\/p>\n

      Teknik Detaylar: Hotswap Nas\u0131l Entegre Edilir?<\/h3>\n

      Bedrock AgentCore Runtime i\u00e7in Hotswap da\u011f\u0131t\u0131mlar\u0131n\u0131 kullanmak olduk\u00e7a basittir, ancak baz\u0131 \u00f6n ko\u015fullar\u0131 ve teknik ad\u0131mlar\u0131 anlamak \u00f6nemlidir.<\/p>\n

      CDK CLI ve S\u00fcr\u00fcm Gereksinimleri<\/h4>\n

      Bu \u00f6zellikten faydalanmak i\u00e7in AWS CDK CLI’\u0131n\u0131z\u0131n g\u00fcncel oldu\u011fundan emin olmal\u0131s\u0131n\u0131z. Genellikle, en son s\u00fcr\u00fcm\u00fc kullanmak en iyisidir. CDK CLI’y\u0131 g\u00fcncellemek i\u00e7in:<\/p>\n

      npm install -g aws-cdk<\/pre>\n
      <\/code><\/p>\n
      veya<\/p>\n
      pip install --upgrade aws-cdk-lib aws-cdk.aws-bedrock<\/pre>\n
      <\/code><\/p>\n
      CDK CLI, Hotswap i\u00e7in gerekli olan AWS API \u00e7a\u011fr\u0131lar\u0131n\u0131 ger\u00e7ekle\u015ftirebilen bir s\u00fcr\u00fcmde olmal\u0131d\u0131r.<\/p>\n
      AgentCore Kaynaklar\u0131n\u0131n Tan\u0131mlanmas\u0131<\/h4>\n
      Bedrock ajanlar\u0131n\u0131z\u0131 CDK ile tan\u0131mlarken, aws-cdk-lib\/aws-bedrock<\/code> mod\u00fcl\u00fcn\u00fc kullan\u0131rs\u0131n\u0131z. \u00d6rne\u011fin, bir ajan ve onunla ili\u015fkili eylem gruplar\u0131n\u0131 \u015fu \u015fekilde tan\u0131mlayabilirsiniz:<\/p>\n
      import * as cdk from 'aws-cdk-lib';\nimport * as bedrock from 'aws-cdk-lib\/aws-bedrock';\nimport * as lambda from 'aws-cdk-lib\/aws-lambda';\nimport { Construct } from 'constructs';\n\nexport class MyBedrockAgentStack extends cdk.Stack {\n  constructor(scope: Construct, id: string, props?: cdk.StackProps) {\n    super(scope, id, props);\n\n    \/\/ Bir Lambda fonksiyonu tan\u0131mlay\u0131n (Agent i\u00e7in eylem olarak kullan\u0131lacak)\n    const myActionFunction = new lambda.Function(this, 'MyAgentActionFunction', {\n      runtime: lambda.Runtime.NODEJS_18_X,\n      handler: 'index.handler',\n      code: lambda.Code.fromInline(exports.handler = async (event) => {\n          console.log(\"Agent Action Invoked:\", JSON.stringify(event));\n          \/\/ Basit bir yan\u0131t d\u00f6nd\u00fcr\n          return {\n            response: {\n              messageVersion: '1.0',\n              response: {\n                actionGroup: 'MyActionGroup',\n                apiPath: '\/my-action',\n                httpMethod: 'POST',\n                responseBody: {\n                  'application\/json': {\n                    body: JSON.stringify({ message: 'Hello from agent action!' })\n                  }\n                }\n              }\n            }\n          };\n        };<\/code>),\n    });\n\n    \/\/ Bedrock Agent tan\u0131mlay\u0131n\n    const myAgent = new bedrock.CfnAgent(this, 'MyBedrockAgent', {\n      agentName: 'MyHotswapAgent',\n      instruction: 'Sen bir yard\u0131mc\u0131s\u0131n. Kullan\u0131c\u0131ya istedi\u011fi bilgiyi sa\u011flamak i\u00e7in ara\u00e7lar\u0131 kullan.',\n      foundationModel: 'anthropic.claude-v2:1', \/\/ Veya istedi\u011finiz ba\u015fka bir model\n      idleSessionTtlInSeconds: 600,\n      description: 'Hotswap ile g\u00fcncellenebilen \u00f6rnek bir Bedrock ajan\u0131.',\n      agentResourceRoleArn: 'arn:aws:iam::123456789012:role\/BedrockAgentServiceRole', \/\/ Kendi rol\u00fcn\u00fcz\u00fc buraya girin\n\n      \/\/ Eylem grubu tan\u0131mlay\u0131n\n      actionGroups: [{\n        actionGroupName: 'MyActionGroup',\n        actionGroupExecutor: {\n          lambda: myActionFunction.functionArn,\n        },\n        apiSchema: {\n          s3: {\n            s3BucketName: 'my-agent-schemas', \/\/ Kendi S3 bucket'\u0131n\u0131z\u0131 buraya girin\n            s3ObjectKey: 'my-action-schema.json', \/\/ \u015eema dosyan\u0131z\u0131n yolu\n          },\n        },\n        description: '\u00d6rnek bir eylem grubu.',\n        functionSchema: { \/\/ OpenAPI \u015femas\u0131 yerine fonksiyon \u015femas\u0131 da kullanabilirsiniz\n            functions: [{\n                name: 'myAction',\n                description: 'Bu fonksiyon basit bir mesaj d\u00f6nd\u00fcr\u00fcr.',\n                parameters: {\n                    type: 'object',\n                    properties: {},\n                    required: []\n                }\n            }]\n        }\n      }],\n    });\n  }\n}\n<\/pre>\n
      <\/code><\/p>\n
      Yukar\u0131daki \u00f6rnekte, bir Lambda fonksiyonu ve bir Bedrock ajan\u0131 tan\u0131mlanm\u0131\u015ft\u0131r. Ajan\u0131n talimatlar\u0131n\u0131 veya eylem grubunun \u015femas\u0131n\u0131 de\u011fi\u015ftirdi\u011finizde Hotswap devreye girecektir.<\/p>\n
      cdk deploy --hotswap<\/code> Komutunun Kullan\u0131m\u0131<\/h4>\n
      De\u011fi\u015fikliklerinizi uygulad\u0131ktan sonra, terminalinizde stack'inizin k\u00f6k dizininde \u015fu komutu \u00e7al\u0131\u015ft\u0131r\u0131n:<\/p>\n
      cdk deploy --hotswap<\/pre>\n
      <\/code><\/p>\n
      CDK CLI, de\u011fi\u015fiklikleri tespit edecek ve do\u011frudan Bedrock API'leri arac\u0131l\u0131\u011f\u0131yla ajan\u0131 g\u00fcncelleyecektir. Bu i\u015flem, tam bir CloudFormation da\u011f\u0131t\u0131m\u0131na k\u0131yasla \u00e7ok daha h\u0131zl\u0131 tamamlanacakt\u0131r.<\/p>\n
      Desteklenen Kaynak T\u00fcrleri ve S\u0131n\u0131rlamalar<\/h4>\n
      Hotswap, her zaman t\u00fcm kaynak t\u00fcrlerini desteklemez. Genellikle, do\u011frudan AWS API'leri arac\u0131l\u0131\u011f\u0131yla h\u0131zl\u0131ca g\u00fcncellenebilen kaynaklar (\u00f6rne\u011fin Lambda fonksiyon kodlar\u0131, Step Functions tan\u0131mlar\u0131, ECS g\u00f6rev tan\u0131mlar\u0131) Hotswap taraf\u0131ndan desteklenir. Yeni eklenen destekle birlikte, Bedrock AgentCore Runtime kaynaklar\u0131n\u0131n belirli \u00f6zellikleri de art\u0131k Hotswap ile g\u00fcncellenebilir. Ancak, bir ajan\u0131n temel yap\u0131s\u0131n\u0131 (\u00f6rne\u011fin, tamamen yeni bir eylem grubu eklemek veya bir ajan\u0131 silmek) de\u011fi\u015ftirmek genellikle tam bir CloudFormation da\u011f\u0131t\u0131m\u0131 gerektirecektir.<\/p>\n
      Pratik Bir \u00d6rnek: AgentCore Hotswap Da\u011f\u0131t\u0131m\u0131<\/h3>\n
      \u015eimdi, Bedrock AgentCore Hotswap da\u011f\u0131t\u0131m\u0131n\u0131n ger\u00e7ek d\u00fcnyada nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131na dair basit bir senaryoyu ele alal\u0131m.<\/p>\n
      \u00d6rnek Bir Agent Tan\u0131mlamas\u0131 (CDK Kodu)<\/h4>\n
      Yukar\u0131daki CDK kodunu kullanarak bir Bedrock ajan\u0131 olu\u015fturdu\u011fumuzu varsayal\u0131m. \u0130lk da\u011f\u0131t\u0131m\u0131 \u015fu \u015fekilde yapabiliriz:<\/p>\n
      cdk deploy<\/pre>\n
      <\/code><\/p>\n
      Bu, ajan\u0131 ve ili\u015fkili Lambda fonksiyonunu AWS'ye da\u011f\u0131tacakt\u0131r.<\/p>\n
      Hotswap Da\u011f\u0131t\u0131m\u0131n\u0131 Tetikleme<\/h4>\n
      Ajan\u0131n\u0131z\u0131n talimatlar\u0131n\u0131 geli\u015ftirmek istedi\u011finizi varsayal\u0131m. CDK kodunuzda instruction<\/code> \u00f6zelli\u011fini g\u00fcncelleyin:<\/p>\n
            instruction: 'Sen bir yard\u0131mc\u0131s\u0131n. Kullan\u0131c\u0131ya finansal tavsiye sa\u011flamak i\u00e7in ara\u00e7lar\u0131 kullan ve nazik ol.', \/\/ Talimat g\u00fcncellendi\n<\/pre>\n
      <\/code><\/p>\n
      Bu de\u011fi\u015fikli\u011fi AWS'ye h\u0131zl\u0131ca yans\u0131tmak i\u00e7in:<\/p>\n
      cdk deploy --hotswap<\/pre>\n
      <\/code><\/p>\n
      CDK CLI, sadece bu talimat de\u011fi\u015fikli\u011fini tespit edecek ve Bedrock API'sini kullanarak ajan\u0131 saniyeler i\u00e7inde g\u00fcncelleyecektir. Ayn\u0131 \u015fekilde, bir eylem grubunun API \u015femas\u0131n\u0131 veya Lambda fonksiyonunun kodunu de\u011fi\u015ftirdi\u011finizde de Hotswap devreye girecektir.<\/p>\n
      De\u011fi\u015fiklikleri Test Etme ve Geri Alma<\/h4>\n
      De\u011fi\u015fiklikler da\u011f\u0131t\u0131ld\u0131ktan sonra, AWS Bedrock konsolundan veya AWS SDK'y\u0131 kullanarak ajan\u0131n\u0131z\u0131 test edebilirsiniz. E\u011fer bir hata yaparsan\u0131z veya \u00f6nceki bir s\u00fcr\u00fcme geri d\u00f6nmek isterseniz, CDK kodunuzdaki de\u011fi\u015fikli\u011fi geri al\u0131p tekrar cdk deploy --hotswap<\/code> komutunu \u00e7al\u0131\u015ft\u0131rarak h\u0131zl\u0131ca eski haline d\u00f6nebilirsiniz.<\/p>\n
      Best Practices<\/h4>\n
        \n
      • K\u00fc\u00e7\u00fck ve S\u0131k De\u011fi\u015fiklikler:<\/b> Hotswap'\u0131n faydalar\u0131n\u0131 en \u00fcst d\u00fczeye \u00e7\u0131karmak i\u00e7in k\u00fc\u00e7\u00fck, odaklanm\u0131\u015f de\u011fi\u015fiklikler yap\u0131n.<\/li>\n
      • S\u00fcr\u00fcm Kontrol\u00fc:<\/b> T\u00fcm CDK kodunuzu her zaman bir s\u00fcr\u00fcm kontrol sisteminde (Git gibi) tutun.<\/li>\n
      • Test Ortamlar\u0131:<\/b> Hotswap'\u0131 geli\u015ftirme ve test ortamlar\u0131nda kullan\u0131n. \u00dcretim ortamlar\u0131 i\u00e7in tam CloudFormation da\u011f\u0131t\u0131mlar\u0131n\u0131 tercih etmek daha g\u00fcvenli olabilir, \u00e7\u00fcnk\u00fc CloudFormation t\u00fcm kaynaklar\u0131n durumunu garanti eder.<\/li>\n
      • CDK CLI'\u0131 G\u00fcncel Tutun:<\/b> En yeni \u00f6zelliklerden ve hata d\u00fczeltmelerinden yararlanmak i\u00e7in CDK CLI'\u0131n\u0131z\u0131 d\u00fczenli olarak g\u00fcncelleyin.<\/li>\n<\/ul>\n
        Gelecek ve Geli\u015ftirici Verimlili\u011fi \u00dczerindeki Etkisi<\/h3>\n
        AWS CDK Hotswap'\u0131n Bedrock AgentCore Runtime deste\u011fi, \u00fcretken yapay zeka geli\u015ftirme alan\u0131nda b\u00fcy\u00fck bir potansiyel ta\u015f\u0131yor ve geli\u015ftirici verimlili\u011fi \u00fczerinde \u00f6nemli etkileri olacak.<\/p>\n
        \u00dcretken Yapay Zeka Geli\u015ftirmede H\u0131z Fakt\u00f6r\u00fc<\/h4>\n
        \u00dcretken yapay zeka modelleri ve ajanlar\u0131, karma\u015f\u0131k ve bazen tahmin edilemez davran\u0131\u015flara sahip olabilir. Bu nedenle, geli\u015ftiricilerin h\u0131zl\u0131 bir \u015fekilde deneme yapma, farkl\u0131 prompt'lar\u0131 test etme, eylem tan\u0131mlamalar\u0131n\u0131 ince ayar yapma ve sonu\u00e7lar\u0131 an\u0131nda g\u00f6rme yetene\u011fi kritik \u00f6neme sahiptir. Hotswap, bu iterasyon h\u0131z\u0131n\u0131 sa\u011flayarak geli\u015ftiricilerin daha verimli olmas\u0131n\u0131 ve daha k\u0131sa s\u00fcrede daha iyi ajanlar olu\u015fturmas\u0131n\u0131 sa\u011flar.<\/p>\n
        Tak\u0131m \u00c7al\u0131\u015fmas\u0131na Katk\u0131s\u0131<\/h4>\n
        Birden fazla geli\u015ftiricinin ayn\u0131 Bedrock ajan\u0131 \u00fczerinde \u00e7al\u0131\u015ft\u0131\u011f\u0131 senaryolarda, Hotswap da\u011f\u0131t\u0131mlar\u0131 \u00e7ak\u0131\u015fmalar\u0131 azaltabilir ve geli\u015ftirme ak\u0131\u015f\u0131n\u0131 h\u0131zland\u0131rabilir. Her geli\u015ftirici, kendi yerel de\u011fi\u015fikliklerini h\u0131zl\u0131ca test edebilir ve entegrasyon s\u00fcre\u00e7lerini daha sorunsuz hale getirebilir.<\/p>\n
        Maliyet ve Zaman Tasarrufu<\/h4>\n
        Geli\u015ftirme d\u00f6ng\u00fcs\u00fcndeki bekleme s\u00fcrelerinin azalmas\u0131, geli\u015ftiricilerin daha az bo\u015fa harcanan zaman ge\u00e7irmesi anlam\u0131na gelir. Bu, hem proje maliyetlerini d\u00fc\u015f\u00fcr\u00fcr hem de \u00fcr\u00fcnlerin pazara sunulma s\u00fcresini k\u0131salt\u0131r. Daha h\u0131zl\u0131 iterasyon, daha az hata ve daha iyi optimize edilmi\u015f ajanlar demektir.<\/p>\n
        Di\u011fer AWS Hizmetleriyle Entegrasyon Potansiyeli<\/h4>\n
        Hotswap'\u0131n Bedrock AgentCore'a geni\u015fletilmesi, gelecekte di\u011fer \u00fcretken yapay zeka odakl\u0131 AWS hizmetleri i\u00e7in de benzer desteklerin gelebilece\u011finin bir i\u015faretidir. Bu, AWS ekosisteminde u\u00e7tan uca h\u0131zl\u0131 geli\u015ftirme deneyimlerinin yayg\u0131nla\u015fmas\u0131na yol a\u00e7abilir ve geli\u015ftiricilerin daha karma\u015f\u0131k, \u00e7ok hizmetli AI \u00e7\u00f6z\u00fcmlerini daha kolay in\u015fa etmelerini sa\u011flayabilir.<\/p>\n
        Sonu\u00e7<\/h3>\n
        AWS CDK Hotswap da\u011f\u0131t\u0131mlar\u0131n\u0131n Amazon Bedrock AgentCore Runtime'\u0131 desteklemesi, \u00fcretken yapay zeka geli\u015ftiricileri i\u00e7in \u00f6nemli bir ad\u0131md\u0131r. Bu entegrasyon, geli\u015ftirme d\u00f6ng\u00fcs\u00fcn\u00fc h\u0131zland\u0131rarak, geli\u015ftirici verimlili\u011fini art\u0131rarak ve yenilik\u00e7i AI \u00e7\u00f6z\u00fcmlerinin daha h\u0131zl\u0131 pazara sunulmas\u0131na olanak tan\u0131yarak bulut tabanl\u0131 AI geli\u015ftirme \u015feklini d\u00f6n\u00fc\u015ft\u00fcr\u00fcyor. Art\u0131k geli\u015ftiriciler, ajanlar\u0131n\u0131 saniyeler i\u00e7inde g\u00fcncelleyebilir, an\u0131nda geri bildirim alabilir ve daha \u00e7evik bir \u015fekilde \u00e7al\u0131\u015fabilirler. Bu \u00f6zellik, Bedrock \u00fczerinde ak\u0131ll\u0131 ajanlar in\u015fa eden herkes i\u00e7in paha bi\u00e7ilmez bir ara\u00e7 haline gelmi\u015ftir.<\/p>\n
        SSS (S\u0131k Sorulan Sorular)<\/h3>\n
        Hotswap her CDK kayna\u011f\u0131n\u0131 destekler mi?<\/h4>\n
        Hay\u0131r, Hotswap her CDK kayna\u011f\u0131n\u0131 desteklemez. Genellikle, do\u011frudan AWS API'leri arac\u0131l\u0131\u011f\u0131yla h\u0131zl\u0131ca g\u00fcncellenebilen kaynaklar (\u00f6rne\u011fin Lambda fonksiyon kodlar\u0131, Step Functions tan\u0131mlar\u0131, ECS g\u00f6rev tan\u0131mlar\u0131 ve \u015fimdi Bedrock AgentCore'un belirli \u00f6zellikleri) desteklenir. Altyap\u0131sal veya karma\u015f\u0131k de\u011fi\u015fiklikler (\u00f6rne\u011fin, bir veritaban\u0131n\u0131n \u015femas\u0131n\u0131 de\u011fi\u015ftirmek veya tamamen yeni bir kaynak t\u00fcr\u00fc eklemek) genellikle tam bir CloudFormation da\u011f\u0131t\u0131m\u0131 gerektirir.<\/p>\n
        Bedrock AgentCore i\u00e7in hotswap kullanman\u0131n \u00f6n ko\u015fullar\u0131 nelerdir?<\/h4>\n
        \u00d6n ko\u015fullar \u015funlard\u0131r: g\u00fcncel bir AWS CDK CLI s\u00fcr\u00fcm\u00fc, AWS hesab\u0131n\u0131zda Bedrock hizmetine eri\u015fim, CDK kodunuzda Bedrock ajan\u0131n\u0131z\u0131 tan\u0131mlam\u0131\u015f olman\u0131z ve gerekli IAM izinlerine sahip olman\u0131z.<\/p>\n
        Hotswap da\u011f\u0131t\u0131mlar\u0131 g\u00fcvenli midir?<\/h4>\n
        Hotswap da\u011f\u0131t\u0131mlar\u0131, geli\u015ftirme ve test ortamlar\u0131nda h\u0131zl\u0131 iterasyon i\u00e7in tasarlanm\u0131\u015ft\u0131r. Do\u011frudan AWS API'lerini kulland\u0131klar\u0131 i\u00e7in, CloudFormation'\u0131n tam durum y\u00f6netimi ve geri alma garantilerini sunmazlar. Bu nedenle, \u00fcretim ortamlar\u0131nda kritik de\u011fi\u015fiklikler i\u00e7in tam CloudFormation da\u011f\u0131t\u0131mlar\u0131n\u0131 kullanmak genellikle daha g\u00fcvenli bir yakla\u015f\u0131md\u0131r. Hotswap, k\u00fc\u00e7\u00fck, izole edilmi\u015f de\u011fi\u015fiklikler i\u00e7in idealdir.<\/p>\n
        Hotswap ile hangi AgentCore bile\u015fenlerini g\u00fcncelleyebilirim?<\/h4>\n
        Hotswap ile bir Bedrock ajan\u0131n\u0131n talimatlar\u0131n\u0131 (instructions), eylem gruplar\u0131n\u0131n OpenAPI \u015femalar\u0131n\u0131 veya Lambda fonksiyonu kodlar\u0131n\u0131 (e\u011fer eylem grubu Lambda fonksiyonunu kullan\u0131yorsa) gibi bile\u015fenlerini h\u0131zl\u0131ca g\u00fcncelleyebilirsiniz. Ajan\u0131n temel modelini de\u011fi\u015ftirmek veya tamamen yeni bir eylem grubu eklemek gibi daha yap\u0131sal de\u011fi\u015fiklikler genellikle tam bir CDK da\u011f\u0131t\u0131m\u0131 gerektirebilir.<\/p>\n
        Bu \u00f6zellik ne zaman kullan\u0131ma sunuldu?<\/h4>\n
        AWS, bu \u00f6zelli\u011fi 2024 y\u0131l\u0131n\u0131n ilk \u00e7eyre\u011finde duyurarak AWS CDK Hotswap da\u011f\u0131t\u0131mlar\u0131n\u0131n Amazon Bedrock AgentCore Runtime'\u0131 desteklemeye ba\u015flad\u0131\u011f\u0131n\u0131 bildirdi.<\/p>\n","protected":false},"excerpt":{"rendered":"AWS bulut kaynaklar\u0131n\u0131 kod arac\u0131l\u0131\u011f\u0131yla y\u00f6netmek, modern yaz\u0131l\u0131m geli\u015ftirmenin temel ta\u015flar\u0131ndan biridir. AWS CDK, bu s\u00fcreci kolayla\u015ft\u0131ran ve …","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":[1406],"tags":[],"class_list":{"0":"post-38355","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-aws","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\nAWS CDK Hotswap Deployments ile Bedrock AgentCore Runtime Deste\u011fi: \u00dcretken Yapay Zeka Geli\u015ftirmede Devrim - Kodlar\u0131n Gizemli D\u00fcnyas\u0131<\/title>\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\/aws-cdk-hotswap-deployments-ile-bedrock-agentcore-runtime-destegi-uretken-yapay-zeka-gelistirmede-devrim\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AWS CDK Hotswap Deployments ile Bedrock AgentCore Runtime Deste\u011fi: \u00dcretken Yapay Zeka Geli\u015ftirmede Devrim\" \/>\n<meta property=\"og:description\" content=\"AWS bulut kaynaklar\u0131n\u0131 kod arac\u0131l\u0131\u011f\u0131yla y\u00f6netmek, modern yaz\u0131l\u0131m geli\u015ftirmenin temel ta\u015flar\u0131ndan biridir. 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