EN You can deploy AWS DL Containers on Amazon SageMaker, Amazon Elastic Kubernetes Service (Amazon EKS), self-managed Kubernetes on Amazon EC2, Amazon Elastic Container Service (Amazon ECS)
EN You can deploy AWS DL Containers on Amazon SageMaker, Amazon Elastic Kubernetes Service (Amazon EKS), self-managed Kubernetes on Amazon EC2, Amazon Elastic Container Service (Amazon ECS)
KO Amazon SageMaker, Amazon Elastic Kubernetes Service(Amazon EKS), Amazon EC2의 자체 관리형 Kubernetes 및 Amazon Elastic Container Service(Amazon ECS)에 AWS DL Containers를 배포할 수 있습니다
लिप्यंतरण Amazon SageMaker, Amazon Elastic Kubernetes Service(Amazon EKS), Amazon EC2ui jache gwanlihyeong Kubernetes mich Amazon Elastic Container Service(Amazon ECS)e AWS DL Containersleul baepohal su issseubnida
अंग्रेज़ी | कोरियाई |
---|---|
aws | aws |
dl | dl |
amazon | amazon |
ecs | ecs |
EN Amazon ElastiCache for Redis FAQs Self-Managed vs. Fully Managed Redis Getting Started with Amazon ElastiCache More Amazon ElastiCache for Redis Customers Amazon ElastiCache Blog Take the free Introduction to Amazon ElastiCache course
KO Redis용 Amazon ElastiCache FAQ 자가 관리형 Redis와 완전관리형 Redis 비교 Amazon ElastiCache 시작하기 Redis용 Amazon ElastiCache 고객 더 보기 Amazon ElastiCache 블로그 Amazon ElastiCache 소개 과정 무료로 수강하기
लिप्यंतरण Redis-yong Amazon ElastiCache FAQ jaga gwanlihyeong Redis-wa wanjeongwanlihyeong Redis bigyo Amazon ElastiCache sijaghagi Redis-yong Amazon ElastiCache gogaeg deo bogi Amazon ElastiCache beullogeu Amazon ElastiCache sogae gwajeong mulyolo suganghagi
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
faqs | faq |
EN Amazon ElastiCache for Redis FAQs Self-Managed vs. Fully Managed Redis Getting Started with Amazon ElastiCache More Amazon ElastiCache for Redis Customers Amazon ElastiCache Blog Take the free Introduction to Amazon ElastiCache course
KO Redis용 Amazon ElastiCache FAQ 자가 관리형 Redis와 완전관리형 Redis 비교 Amazon ElastiCache 시작하기 Redis용 Amazon ElastiCache 고객 더 보기 Amazon ElastiCache 블로그 Amazon ElastiCache 소개 과정 무료로 수강하기
लिप्यंतरण Redis-yong Amazon ElastiCache FAQ jaga gwanlihyeong Redis-wa wanjeongwanlihyeong Redis bigyo Amazon ElastiCache sijaghagi Redis-yong Amazon ElastiCache gogaeg deo bogi Amazon ElastiCache beullogeu Amazon ElastiCache sogae gwajeong mulyolo suganghagi
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
faqs | faq |
EN AWS Fault Injection Simulator supports creating disruptive events across a range of AWS services, such as Amazon EC2, Amazon EKS, Amazon ECS, and Amazon RDS
KO AWS Fault Injection Simulator는 Amazon EC2, Amazon EKS, Amazon ECS 및 Amazon RDS와 같은 다양한 AWS 서비스에 걸쳐 중단 이벤트를 만들어낼 수 있도록 지원합니다
लिप्यंतरण AWS Fault Injection Simulatorneun Amazon EC2, Amazon EKS, Amazon ECS mich Amazon RDSwa gat-eun dayanghan AWS seobiseue geolchyeo jungdan ibenteuleul mandeul-eonael su issdolog jiwonhabnida
अंग्रेज़ी | कोरियाई |
---|---|
aws | aws |
amazon | amazon |
ecs | ecs |
rds | rds |
EN General Amazon CodeGuru Reviewer Amazon CodeGuru Reviewer Security Detector Amazon CodeGuru Reviewer CI/CD Integrations Amazon CodeGuru Profiler
KO 일반 Amazon CodeGuru Reviewer Amazon CodeGuru Reviewer 보안 탐지기 Amazon CodeGuru Reviewer CI/CD 통합 Amazon CodeGuru Profiler
लिप्यंतरण ilban Amazon CodeGuru Reviewer Amazon CodeGuru Reviewer boan tamjigi Amazon CodeGuru Reviewer CI/CD tonghab Amazon CodeGuru Profiler
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
EN For event sources where events arrive in batches, such as Amazon SQS, Amazon Kinesis, and Amazon DynamoDB Streams, the event parameter may contain multiple events in a single call, based on the batch size you request
KO Amazon SQS, Amazon Kinesis 및 Amazon DynamoDB Streams와 이벤트가 배치로 도착하는 이벤트 소스의 경우 이벤트 파라미터는 요청한 배치 크기에 따라 단일 호출에 여러 이벤트를 포함할 수 있습니다
लिप्यंतरण Amazon SQS, Amazon Kinesis mich Amazon DynamoDB Streamswa ibenteuga baechilo dochaghaneun ibenteu soseuui gyeong-u ibenteu palamiteoneun yocheonghan baechi keugie ttala dan-il hochul-e yeoleo ibenteuleul pohamhal su issseubnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
EN You can monitor progress through the Amazon Kinesis and Amazon DynamoDB consoles and through the Amazon CloudWatch metrics that AWS Lambda generates for your function
KO Amazon Kinesis 및 Amazon DynamoDB 콘솔을 통해, 그리고 AWS Lambda가 함수에 대해 생성하는 Amazon CloudWatch 지표를 통해 진행 상태를 모니터링할 수 있습니다
लिप्यंतरण Amazon Kinesis mich Amazon DynamoDB konsol-eul tonghae, geuligo AWS Lambdaga hamsue daehae saengseonghaneun Amazon CloudWatch jipyoleul tonghae jinhaeng sangtaeleul moniteolinghal su issseubnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
aws | aws |
lambda | lambda |
EN Amazon Elasticsearch Service now publishes events to Amazon CloudWatch and Amazon EventBridge to provide better visibility into the service
KO Amazon Elasticsearch Service는 이제 더 나은 서비스 가시성을 제공하기 위해 Amazon CloudWatch 및 Amazon EventBridge에 이벤트를 게시합니다
लिप्यंतरण Amazon Elasticsearch Serviceneun ije deo na-eun seobiseu gasiseong-eul jegonghagi wihae Amazon CloudWatch mich Amazon EventBridgee ibenteuleul gesihabnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
EN Each service may be built using multiple types of compute infrastructure such as Amazon EC2, Amazon ECS, Amazon EKS, and AWS Fargate
KO 각 서비스는 Amazon EC2, Amazon ECS, Amazon EKS, AWS Fargate 등 여러 유형의 컴퓨팅 인프라를 사용해 구축될 수 있습니다
लिप्यंतरण gag seobiseuneun Amazon EC2, Amazon ECS, Amazon EKS, AWS Fargate deung yeoleo yuhyeong-ui keompyuting inpeulaleul sayonghae guchugdoel su issseubnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
ecs | ecs |
aws | aws |
EN You can also easily access Amazon Virtual Private Cloud (Amazon VPC) resources for training and hosting workflows in Amazon SageMaker
KO 또한, Amazon Virtual Private Cloud(Amazon VPC) 리소스에 손쉽게 액세스하여 Amazon SageMaker에서 워크플로를 교육 및 호스팅할 수 있습니다
लिप्यंतरण ttohan, Amazon Virtual Private Cloud(Amazon VPC) lisoseue sonswibge aegseseuhayeo Amazon SageMakereseo wokeupeulloleul gyoyug mich hoseutinghal su issseubnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
vpc | vpc |
EN In this case, Amazon ECS Anywhere allows enterprise customers to deploy native Amazon ECS tasks in any environment, including their existing on-premises infrastructure while being able to access the Amazon ECS control plane
KO 이 경우 엔터프라이즈 고객은 Amazon ECS Anywhere를 사용하여 Amazon ECS 제어 플레인에 액세스하는 동시에 기본 Amazon ECS 태스크를 기존 온프레미스 인프라를 포함한 모든 환경에 배포할 수 있습니다
लिप्यंतरण i gyeong-u enteopeulaijeu gogaeg-eun Amazon ECS Anywhereleul sayonghayeo Amazon ECS jeeo peullein-e aegseseuhaneun dongsie gibon Amazon ECS taeseukeuleul gijon onpeulemiseu inpeulaleul pohamhan modeun hwangyeong-e baepohal su issseubnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
ecs | ecs |
EN For event sources where events arrive in batches, such as Amazon SQS, Amazon Kinesis, and Amazon DynamoDB Streams, the event parameter may contain multiple events in a single call, based on the batch size you request
KO Amazon SQS, Amazon Kinesis 및 Amazon DynamoDB Streams와 이벤트가 배치로 도착하는 이벤트 소스의 경우 이벤트 파라미터는 요청한 배치 크기에 따라 단일 호출에 여러 이벤트를 포함할 수 있습니다
लिप्यंतरण Amazon SQS, Amazon Kinesis mich Amazon DynamoDB Streamswa ibenteuga baechilo dochaghaneun ibenteu soseuui gyeong-u ibenteu palamiteoneun yocheonghan baechi keugie ttala dan-il hochul-e yeoleo ibenteuleul pohamhal su issseubnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
EN You can monitor progress through the Amazon Kinesis and Amazon DynamoDB consoles and through the Amazon CloudWatch metrics that AWS Lambda generates for your function
KO Amazon Kinesis 및 Amazon DynamoDB 콘솔을 통해, 그리고 AWS Lambda가 함수에 대해 생성하는 Amazon CloudWatch 지표를 통해 진행 상태를 모니터링할 수 있습니다
लिप्यंतरण Amazon Kinesis mich Amazon DynamoDB konsol-eul tonghae, geuligo AWS Lambdaga hamsue daehae saengseonghaneun Amazon CloudWatch jipyoleul tonghae jinhaeng sangtaeleul moniteolinghal su issseubnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
aws | aws |
lambda | lambda |
EN AWS DL Containers are tightly integrated with Amazon SageMaker, Amazon EKS, and Amazon ECS, giving you choice and flexibility to build custom machine learning workflows for training, validation, and deployment
KO AWS DL Containers는 Amazon SageMaker, Amazon EKS 및 Amazon ECS와 긴밀하게 통합되므로, 훈련, 검증 및 배포를 위한 사용자 지정 기계 학습 워크플로를 구축할 수 있는 옵션과 유연성이 제공됩니다
लिप्यंतरण AWS DL Containersneun Amazon SageMaker, Amazon EKS mich Amazon ECSwa ginmilhage tonghabdoemeulo, hunlyeon, geomjeung mich baepoleul wihan sayongja jijeong gigye hagseub wokeupeulloleul guchughal su issneun obsyeongwa yuyeonseong-i jegongdoebnida
अंग्रेज़ी | कोरियाई |
---|---|
aws | aws |
dl | dl |
amazon | amazon |
ecs | ecs |
EN Fine granular access to objects in Amazon S3-Buckets/ Amazon SQS/ Amazon SNS and others
KO Amazon S3 버킷 / Amazon SQS / Amazon SNS 등에 있는 객체에 대한 세분화된 액세스
लिप्यंतरण Amazon S3 beokis / Amazon SQS / Amazon SNS deung-e issneun gaegchee daehan sebunhwadoen aegseseu
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
sns | sns |
EN In this case, Amazon ECS Anywhere allows enterprise customers to deploy native Amazon ECS tasks in any environment, including their existing on-premises infrastructure while being able to access the Amazon ECS control plane
KO 이 경우 엔터프라이즈 고객은 Amazon ECS Anywhere를 사용하여 Amazon ECS 제어 플레인에 액세스하는 동시에 기본 Amazon ECS 태스크를 기존 온프레미스 인프라를 포함한 모든 환경에 배포할 수 있습니다
लिप्यंतरण i gyeong-u enteopeulaijeu gogaeg-eun Amazon ECS Anywhereleul sayonghayeo Amazon ECS jeeo peullein-e aegseseuhaneun dongsie gibon Amazon ECS taeseukeuleul gijon onpeulemiseu inpeulaleul pohamhan modeun hwangyeong-e baepohal su issseubnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
ecs | ecs |
EN Amazon ElastiCache for Redis allows you to run your resources in Amazon Virtual Private Cloud (Amazon VPC)
KO Redis용 Amazon ElastiCache를 사용하면 Amazon Virtual Private Cloud(VPC)에서 리소스를 실행할 수 있습니다
लिप्यंतरण Redis-yong Amazon ElastiCacheleul sayonghamyeon Amazon Virtual Private Cloud(VPC)eseo lisoseuleul silhaenghal su issseubnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
vpc | vpc |
EN You can enhance Amazon SageMaker capabilities by connecting the notebook instance to an Apache Spark cluster running on Amazon EMR, with Amazon SageMaker Spark for easily training models and hosting models.
KO 모델을 쉽게 훈련하고 모델을 호스팅하도록 Amazon SageMaker Spark를 통해 노트북 인스턴스를 Amazon EMR에 실행한 Apache Spark 클러스터에 연결하면 Amazon SageMaker 기능을 향상시킬 수 있습니다.
लिप्यंतरण model-eul swibge hunlyeonhago model-eul hoseutinghadolog Amazon SageMaker Sparkleul tonghae noteubug inseuteonseuleul Amazon EMRe silhaenghan Apache Spark keulleoseuteoe yeongyeolhamyeon Amazon SageMaker gineung-eul hyangsangsikil su issseubnida.
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
emr | emr |
EN Krux utilizes ephemeral Amazon EMR clusters with Amazon EC2 Spot Capacity to save costs and uses Amazon S3 with EMRFS as a data layer for Apache Spark.
KO Krux는 휘발성 Amazon EMR 클러스터를 Amazon EC2 스팟 용량과 함께 사용하여 비용을 절감하고, EMRFS를 통해 Amazon S3를 Apache Spark용 데이터 계층으로 사용합니다.
लिप्यंतरण Kruxneun hwibalseong Amazon EMR keulleoseuteoleul Amazon EC2 seupas yonglyang-gwa hamkke sayonghayeo biyong-eul jeolgamhago, EMRFSleul tonghae Amazon S3leul Apache Sparkyong deiteo gyecheung-eulo sayonghabnida.
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
emr | emr |
EN Amazon Location Service gives Novetta new options to deliver deeper cloud integration in conjunction with services such as AWS IoT Greengrass, Amazon Neptune, and Amazon Rekognition.
KO Amazon Location Service는 Novetta에 AWS IoT Greengrass, Amazon Neptune 및 Amazon Rekognition과 같은 서비스와 함께 보다 심층적인 클라우드 통합을 전달하는 옵션을 제공합니다.
लिप्यंतरण Amazon Location Serviceneun Novetta-e AWS IoT Greengrass, Amazon Neptune mich Amazon Rekognitiongwa gat-eun seobiseuwa hamkke boda simcheungjeog-in keullaudeu tonghab-eul jeondalhaneun obsyeon-eul jegonghabnida.
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
aws | aws |
EN Aerial drone view of cattle grazing on farm pasture in the Amazon rainforest. Xapuri, Acre, Brazil. Concept of ecology, deforestation, environment, nature, agriculture, co2 footprint, global warming.
KO 홈 오피스에 서 있는 카메라를 쳐다보며 자신감에 넘친 젊은 유럽 여인들하얀 치아를 가진 밀레니엄 세대의 캐주얼 프로 아가씨가 실내 초상화를 클로즈업하기 위해 포즈를 취했습니다.
लिप्यंतरण hom opiseue seo issneun kamelaleul chyeodabomyeo jasingam-e neomchin jeolm-eun yuleob yeoindeulhayan chialeul gajin millenieom sedaeui kaejueol peulo agassiga silnae chosanghwaleul keullojeueobhagi wihae pojeuleul chwihaessseubnida.
EN Combine the power of Vantage with the global footprint of Amazon Web Services to achieve the highest levels of advanced analytics in the cloud.
KO Vantage의 능력과 아마존 웹 서비스의 전 세계적 입지를 결합하여 클라우드에서 최고 수준의 고급 분석을 달성하세요.
लिप्यंतरण Vantage-ui neunglyeoggwa amajon web seobiseuui jeon segyejeog ibjileul gyeolhabhayeo keullaudeueseo choego sujun-ui gogeub bunseog-eul dalseonghaseyo.
EN Combine the power of Vantage with the global footprint of Amazon Web Services to achieve the highest levels of advanced analytics in the cloud.
KO Vantage의 능력과 아마존 웹 서비스의 전 세계적 입지를 결합하여 클라우드에서 최고 수준의 고급 분석을 달성하세요.
लिप्यंतरण Vantage-ui neunglyeoggwa amajon web seobiseuui jeon segyejeog ibjileul gyeolhabhayeo keullaudeueseo choego sujun-ui gogeub bunseog-eul dalseonghaseyo.
EN While AWS Lambda’s programming model is stateless, your code can access stateful data by calling other web services, such as Amazon S3 or Amazon DynamoDB.
KO AWS Lambda의 프로그래밍 모델은 상태 비저장이지만 코드에서 Amazon S3 또는 Amazon DynamoDB 등 다른 웹 서비스를 호출하면 상태 저장 데이터에 액세스할 수 있습니다.
लिप्यंतरण AWS Lambdaui peulogeulaeming model-eun sangtae bijeojang-ijiman kodeueseo Amazon S3 ttoneun Amazon DynamoDB deung daleun web seobiseuleul hochulhamyeon sangtae jeojang deiteoe aegseseuhal su issseubnida.
अंग्रेज़ी | कोरियाई |
---|---|
aws | aws |
amazon | amazon |
EN To learn more about Amazon S3 event notifications, visit Configuring Notifications for Amazon S3 Events
KO Amazon S3 이벤트 알림에 대한 자세한 내용은 Amazon S3 이벤트에 대한 알림 구성을 참조하세요
लिप्यंतरण Amazon S3 ibenteu allim-e daehan jasehan naeyong-eun Amazon S3 ibenteue daehan allim guseong-eul chamjohaseyo
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
EN To learn more about invoking Lambda functions using Amazon SNS, visit the Amazon SNS Developers Guide
KO Amazon SNS를 사용한 Lambda 함수 호출에 대한 자세한 내용은 Amazon SNS 개발자 안내서를 참조하세요
लिप्यंतरण Amazon SNSleul sayonghan Lambda hamsu hochul-e daehan jasehan naeyong-eun Amazon SNS gaebalja annaeseoleul chamjohaseyo
अंग्रेज़ी | कोरियाई |
---|---|
lambda | lambda |
amazon | amazon |
sns | sns |
EN From the Amazon SES Console, you can set up your receipt rule to have Amazon SES deliver your messages to an AWS Lambda function. The same functionality is available through the AWS SDK and CLI.
KO Amazon SES 콘솔에서 Amazon SES가 AWS Lambda 함수에 메시지를 전송하도록 수신 규칙을 설정할 수 있습니다. AWS SDK와 CLI를 통해서도 같은 기능을 사용할 수 있습니다.
लिप्यंतरण Amazon SES konsol-eseo Amazon SESga AWS Lambda hamsue mesijileul jeonsonghadolog susin gyuchig-eul seoljeonghal su issseubnida. AWS SDKwa CLIleul tonghaeseodo gat-eun gineung-eul sayonghal su issseubnida.
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
aws | aws |
lambda | lambda |
sdk | sdk |
EN See the Amazon CloudWatch Developer Guide for more on setting up Amazon CloudWatch alarms.
KO Amazon CloudWatch 경보 설정에 대한 자세한 내용은 Amazon CloudWatch 개발자 안내서를 참조하십시오.
लिप्यंतरण Amazon CloudWatch gyeongbo seoljeong-e daehan jasehan naeyong-eun Amazon CloudWatch gaebalja annaeseoleul chamjohasibsio.
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
EN Visit Amazon Cognito for more information on using Amazon Cognito to share and synchronize data across a user’s devices.
KO 사용자 디바이스 전체에 데이터를 공유 및 동기화하도록 Amazon Cognito를 사용하는 것에 대한 자세한 정보는 Amazon Cognito를 참조하십시오.
लिप्यंतरण sayongja dibaiseu jeonchee deiteoleul gong-yu mich dong-gihwahadolog Amazon Cognitoleul sayonghaneun geos-e daehan jasehan jeongboneun Amazon Cognitoleul chamjohasibsio.
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
EN When your app uses the Amazon Cognito identity, end users can authenticate themselves using a variety of public login providers such as Amazon, Facebook, Google, and other OpenID Connect-compatible services
KO 앱이 Amazon Cognito 자격 증명을 사용하는 경우, 최종 사용자는 Amazon, Facebook, Google, 및 기타 OpenID Connect 호환 서비스 등 다양한 퍼블릭 로그인 제공자를 통해 사용자 인증을 처리할 수 있습니다
लिप्यंतरण aeb-i Amazon Cognito jagyeog jeungmyeong-eul sayonghaneun gyeong-u, choejong sayongjaneun Amazon, Facebook, Google, mich gita OpenID Connect hohwan seobiseu deung dayanghan peobeullig logeu-in jegongjaleul tonghae sayongja injeung-eul cheolihal su issseubnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
EN You can pull and use the latest base image from DockerHub or Amazon ECR Public, re-build your container image and deploy to AWS Lambda via Amazon ECR
KO 최신 기반 이미지를 DockerHub 또는 Amazon ECR Public에서 끌어다 사용하고, 컨테이너 이미지를 재구축하며 AWS Lambda에 Amazon ECR을 통해 배포할 수 있습니다
लिप्यंतरण choesin giban imijileul DockerHub ttoneun Amazon ECR Publiceseo kkeul-eoda sayonghago, keonteineo imijileul jaeguchughamyeo AWS Lambda-e Amazon ECReul tonghae baepohal su issseubnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
aws | aws |
lambda | lambda |
EN Yes. Mount targets for Amazon EFS are associated with a subnet in a VPC. The AWS Lambda function needs to be configured to access that VPC. Q: Who should use Amazon EFS for Lambda?
KO 예. Amazon EFS에 대한 탑재 대상은 VPC의 서브넷과 연결됩니다. 따라서 이 VPC에 액세스하도록 AWS Lambda 함수를 구성해야 합니다. Q: Lambda용 Amazon EFS는 누가 사용하면 좋습니까?
लिप्यंतरण ye. Amazon EFSe daehan tabjae daesang-eun VPCui seobeunesgwa yeongyeoldoebnida. ttalaseo i VPCe aegseseuhadolog AWS Lambda hamsuleul guseonghaeya habnida. Q: Lambdayong Amazon EFSneun nuga sayonghamyeon johseubnikka?
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
vpc | vpc |
aws | aws |
lambda | lambda |
EN You can configure an Amazon SQS queue or an Amazon SNS topic as your dead letter queue.
KO Amazon SQS 대기열 또는 Amazon SNS 주제를 데드레터큐로 구성할 수 있습니다.
लिप्यंतरण Amazon SQS daegiyeol ttoneun Amazon SNS jujeleul dedeuleteokyulo guseonghal su issseubnida.
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
sns | sns |
EN For example, Lambda can pull records from an Amazon Kinesis stream or an Amazon SQS queue and execute a Lambda function for each fetched message.
KO 예를 들어 Lambda는 Amazon Kinesis Streams 또는 Amazon SQS 대기열에서 레코드를 가져오고 가져온 각 메시지에 대해 Lambda 함수를 실행할 수 있습니다.
लिप्यंतरण yeleul deul-eo Lambdaneun Amazon Kinesis Streams ttoneun Amazon SQS daegiyeol-eseo lekodeuleul gajyeoogo gajyeoon gag mesijie daehae Lambda hamsuleul silhaenghal su issseubnida.
अंग्रेज़ी | कोरियाई |
---|---|
lambda | lambda |
amazon | amazon |
EN For ordered event sources that AWS Lambda polls on your behalf, such as Amazon DynamoDB Streams and Amazon Kinesis streams, Lambda will continue attempting execution in the event of a developer code error until the data expires
KO Amazon DynamoDB Streams, Amazon Kinesis Streams 등 AWS Lambda에서 폴링하는 순차적인 이벤트 소스의 경우 개발자 코드 오류가 발생하면 데이터가 만료될 때까지 Lambda에서 계속 실행을 시도합니다
लिप्यंतरण Amazon DynamoDB Streams, Amazon Kinesis Streams deung AWS Lambda-eseo pollinghaneun sunchajeog-in ibenteu soseuui gyeong-u gaebalja kodeu olyuga balsaenghamyeon deiteoga manlyodoel ttaekkaji Lambda-eseo gyesog silhaeng-eul sidohabnida
अंग्रेज़ी | कोरियाई |
---|---|
aws | aws |
lambda | lambda |
amazon | amazon |
EN To take on the colossal workload of launching a graphics-intensive application during the Super Bowl, Humen used Amazon Elastic Compute Cloud (Amazon EC2) G4 Instances—and achieved super results.
KO 슈퍼볼 중에 그래픽 집약적인 애플리케이션 출시의 엄청난 워크로드를 처리하기 위해 Humen은 Amazon Elastic Compute Cloud(Amazon EC2) G4 인스턴스를 사용하여 대단한 결과를 달성했습니다.
लिप्यंतरण syupeobol jung-e geulaepig jib-yagjeog-in aepeullikeisyeon chulsiui eomcheongnan wokeulodeuleul cheolihagi wihae Humen-eun Amazon Elastic Compute Cloud(Amazon EC2) G4 inseuteonseuleul sayonghayeo daedanhan gyeolgwaleul dalseonghaessseubnida.
EN In addition, Amazon EC2 P3 instances work seamlessly together with Amazon SageMaker to provide a powerful and intuitive complete machine learning platform
KO 또한 Amazon EC2 P3 인스턴스는 Amazon SageMaker와 원활하게 연동되어 강력하고 직관적인 완벽한 기계 학습 플랫폼을 제공합니다
लिप्यंतरण ttohan Amazon EC2 P3 inseuteonseuneun Amazon SageMakerwa wonhwalhage yeondongdoeeo ganglyeoghago jiggwanjeog-in wanbyeoghan gigye hagseub peullaespom-eul jegonghabnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
EN Furthermore, Amazon EC2 P3 instances can be integrated with AWS Deep Learning Amazon Machine Images (AMIs) that are pre-installed with popular deep learning frameworks
KO 또한 Amazon EC2 P3 인스턴스는 널리 사용되는 딥러닝 프레임워크를 통해 미리 설치되는 AWS Deep Learning Amazon 머신 이미지(AMI)와 통합할 수 있습니다
लिप्यंतरण ttohan Amazon EC2 P3 inseuteonseuneun neolli sayongdoeneun dibleoning peuleim-wokeuleul tonghae mili seolchidoeneun AWS Deep Learning Amazon meosin imiji(AMI)wa tonghabhal su issseubnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
aws | aws |
EN We will compare and contrast the training of computer vision models using different Amazon EC2 instances and highlight how significant time savings can be achieved by using Amazon EC2 P3 instances.
KO 그리고 다양한 Amazon EC2 인스턴스를 사용하여 컴퓨터 비전 모델 훈련을 비교/대조하고 Amazon EC2 P3 인스턴스를 사용하여 얼마나 많은 시간을 절약할 수 있는지 알아봅니다.
लिप्यंतरण geuligo dayanghan Amazon EC2 inseuteonseuleul sayonghayeo keompyuteo bijeon model hunlyeon-eul bigyo/daejohago Amazon EC2 P3 inseuteonseuleul sayonghayeo eolmana manh-eun sigan-eul jeol-yaghal su issneunji al-abobnida.
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
EN Amazon Elastic Container Service (ECS) Anywhere is a feature of Amazon ECS that enables you to easily run and manage container workloads on customer-managed infrastructure.
KO Amazon Elastic Container Service(ECS) Anywhere는 고객 관리형 인프라에서 컨테이너 워크로드를 손쉽게 실행 및 관리할 수 있는 Amazon ECS의 기능입니다.
लिप्यंतरण Amazon Elastic Container Service(ECS) Anywhereneun gogaeg gwanlihyeong inpeula-eseo keonteineo wokeulodeuleul sonswibge silhaeng mich gwanlihal su issneun Amazon ECSui gineung-ibnida.
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
ecs | ecs |
EN However, there are no additional fees for using Amazon ECS to manage containers running on the Amazon EC2 and AWS Fargate instances.
KO 그러나 Amazon EC2 및 AWS Fargate 인스턴스에서 실행되는 컨테이너를 관리하기 위해 Amazon ECS를 사용하는 경우 추가 비용은 없습니다.
लिप्यंतरण geuleona Amazon EC2 mich AWS Fargate inseuteonseueseo silhaengdoeneun keonteineoleul gwanlihagi wihae Amazon ECSleul sayonghaneun gyeong-u chuga biyong-eun eobs-seubnida.
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
ecs | ecs |
aws | aws |
EN With Amazon ECS Anywhere, customers can now meet compliance and regulatory requirements by running their container workloads on-premises while leveraging the Amazon ECS tooling and APIs that they’ve grown accustomed to
KO Amazon ECS Anywhere를 통해 고객은 온프레미스에서 컨테이너 워크로드를 실행하여 규정 및 규제 요구 사항을 충족하는 동시에, 친숙한 Amazon ECS 도구 및 API를 활용할 수 있습니다
लिप्यंतरण Amazon ECS Anywhereleul tonghae gogaeg-eun onpeulemiseueseo keonteineo wokeulodeuleul silhaenghayeo gyujeong mich gyuje yogu sahang-eul chungjoghaneun dongsie, chinsughan Amazon ECS dogu mich APIleul hwal-yonghal su issseubnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
ecs | ecs |
apis | api |
EN You can take advantage of the managed streaming data services offered by Amazon Kinesis, or deploy and manage your own streaming data solution in the cloud on Amazon EC2.
KO Amazon Kinesis에서 제공하는 관리형 스트리밍 데이터 서비스를 활용하거나, 클라우드에서 Amazon EC2상에 자체 스트리밍 데이터 솔루션을 배포 및 관리할 수 있습니다.
लिप्यंतरण Amazon Kinesis-eseo jegonghaneun gwanlihyeong seuteuliming deiteo seobiseuleul hwal-yonghageona, keullaudeueseo Amazon EC2sang-e jache seuteuliming deiteo sollusyeon-eul baepo mich gwanlihal su issseubnida.
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
EN In addition, you can run other streaming data platforms such as – Apache Flume, Apache Spark Streaming, and Apache Storm – on Amazon EC2 and Amazon EMR.
KO 이 외에도 Amazon EC2와 Amazon EMR에서 Apache Flume, Apache Spark Streaming, Apache Storm 등과 같은 다른 스트리밍 데이터 플랫폼을 실행할 수 있습니다.
लिप्यंतरण i oeedo Amazon EC2wa Amazon EMReseo Apache Flume, Apache Spark Streaming, Apache Storm deung-gwa gat-eun daleun seuteuliming deiteo peullaespom-eul silhaenghal su issseubnida.
EN It can capture and automatically load streaming data into Amazon S3 and Amazon Redshift, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today
KO 스트리밍 데이터를 캡처하여 자동으로 Amazon S3 및 Amazon Redshift로 로드함으로써 기존 비즈니스 인텔리전스 도구 및 이미 사용하고 있는 대시보드를 통해 거의 실시간으로 분석할 수 있습니다
लिप्यंतरण seuteuliming deiteoleul kaebcheohayeo jadong-eulo Amazon S3 mich Amazon Redshiftlo lodeuham-eulosseo gijon bijeuniseu intellijeonseu dogu mich imi sayonghago issneun daesibodeuleul tonghae geoui silsigan-eulo bunseoghal su issseubnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
EN This page includes pricing information for Amazon CodeGuru Reviewer, Amazon CodeGuru Profiler and AWS BugBust. There are no upfront fees, long-term contracts or commitments for any of the three services.
KO 이 페이지에는 Amazon CodeGuru Reviewer, Amazon CodeGuru Profiler 및 AWS BugBust에 대한 요금 정보가 포함되어 있습니다. 이러한 세 개의 서비스에는 선수금, 장기 계약이나 약정이 없습니다.
लिप्यंतरण i peijieneun Amazon CodeGuru Reviewer, Amazon CodeGuru Profiler mich AWS BugBuste daehan yogeum jeongboga pohamdoeeo issseubnida. ileohan se gaeui seobiseueneun seonsugeum, jang-gi gyeyag-ina yagjeong-i eobs-seubnida.
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
aws | aws |
EN When you create your first AWS BugBust event, all costs incurred by the underlying usage of Amazon CodeGuru Reviewer and Amazon CodeGuru Profiler are free of charge for 30 days per AWS account
KO 최초의 AWS BugBust 이벤트를 생성할 때 Amazon CodeGuru Reviewer 및 Amazon CodeGuru Profiler의 기본적인 사용으로 발생하는 모든 비용은 30일 동안 AWS 계정당 무료입니다
लिप्यंतरण choechoui AWS BugBust ibenteuleul saengseonghal ttae Amazon CodeGuru Reviewer mich Amazon CodeGuru Profilerui gibonjeog-in sayong-eulo balsaenghaneun modeun biyong-eun 30il dong-an AWS gyejeongdang mulyoibnida
अंग्रेज़ी | कोरियाई |
---|---|
aws | aws |
amazon | amazon |
EN This 30-day free period applies even if you have already utilized the free tiers for Amazon CodeGuru Reviewer and Amazon CodeGuru Profiler
KO Amazon CodeGuru Reviewer 및 Amazon CodeGuru Profiler의 프리 티어를 이미 사용했어도 이 30일의 무료 기간이 적용됩니다
लिप्यंतरण Amazon CodeGuru Reviewer mich Amazon CodeGuru Profilerui peuli tieoleul imi sayonghaess-eodo i 30il-ui mulyo gigan-i jeog-yongdoebnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
EN After the 30-day free tier expires, you will be charged for Amazon CodeGuru Reviewer and Amazon CodeGuru Profiler based on your usage in the challenge
KO 30일의 프리 티어가 만료된 후에는 챌린지에서의 사용량에 기반하여 Amazon CodeGuru Reviewer 및 Amazon CodeGuru Profiler에 대한 비용이 청구됩니다
लिप्यंतरण 30il-ui peuli tieoga manlyodoen hueneun chaellinjieseoui sayonglyang-e gibanhayeo Amazon CodeGuru Reviewer mich Amazon CodeGuru Profilere daehan biyong-i cheong-gudoebnida
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
EN Babelfish is a built-in capability of Amazon Aurora, and does not have an additional cost. You can enable Babelfish on your Amazon Aurora cluster with a just few clicks in the RDS management console.
KO Babelfish는 Amazon Aurora의 기본 제공 기능으로, 추가 비용 없이 사용할 수 있습니다. RDS 관리 콘솔에서 클릭 몇 번으로 Amazon Aurora 클러스터에서 Babelfish를 사용하도록 설정할 수 있습니다.
लिप्यंतरण Babelfishneun Amazon Auroraui gibon jegong gineung-eulo, chuga biyong eobs-i sayonghal su issseubnida. RDS gwanli konsol-eseo keullig myeoch beon-eulo Amazon Aurora keulleoseuteoeseo Babelfishleul sayonghadolog seoljeonghal su issseubnida.
अंग्रेज़ी | कोरियाई |
---|---|
amazon | amazon |
aurora | aurora |
rds | rds |
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