AWS Workshop
  • About
  • Immersion Day
    • 2025.05 - Generative AI
    • 2025.03 - Generative AI
    • 2025.02 - ECS
    • 2024.09 - EKS
    • 2024.07 - Security
    • 2024.05 - ECS
    • 2024.01 - Generative AI
    • 2023.10 - Security
    • 2023.08 - MSK
    • 2023.06 - DevOps
    • 2023.04 - AI/ML
    • 2023.02 - EKS
    • 2023.01 - General
    • 2022.12 - 광주소프트웨어마이스터고등학교
    • 2022.12 - Data Analytics
      • Getting started
        • Create a Kinesis Data Stream
      • Produce data to Kinesis Data Streams
        • Cofigure AWS Cloud 9 IDE
        • Using the Amazon SDK with Kinesis
          • Working with the SDK
        • Using the Kinesis Producer Library
          • A Simple Producer
          • Error Analysis and Resiliency
          • CloudWatch Metrics from the Kinesis Producer Library
      • Lambda with Kinesis Data Firehose
        • Overview
        • Create Glue Table
        • Create Kinesis Data Firehose Delivery Stream
        • Stream the data and validate output
      • Clean, Aggregate, and Enrich Events with Kinesis Data Analytics
        • Setup Kinesis Data Analytics Studio
        • Stream the data and validate output
    • 2022.11 - General
    • 2022.10 - EKS
    • 2022.09 - General
    • 2022.08 - 큐피스트
    • 2022.08 - Security
    • 2022.07 - General
    • 2022.06 - Serverless
    • 2022.05 - EKS
    • 2022.05 - 백패커
    • 2022.05 - General
    • 2022.04 - DevOps
    • 2022.04 - Data Analytics
      • Getting started
        • Create a Kinesis Data Stream
      • Produce data to Kinesis Data Streams
        • Cofigure AWS Cloud 9 IDE
        • Using the Amazon SDK with Kinesis
          • Working with the SDK
        • Using the Kinesis Producer Library
          • A Simple Producer
          • Error Analysis and Resiliency
          • CloudWatch Metrics from the Kinesis Producer Library
      • Lambda with Kinesis Data Firehose
        • Overview
        • Create Glue Table
        • Create Kinesis Data Firehose Delivery Stream
        • Stream the data and validate output
      • Clean, Aggregate, and Enrich Events with Kinesis Data Analytics
        • Setup Kinesis Data Analytics Studio
        • Stream the data and validate output
    • 2022.03 - General
    • 2022.02 - AI/ML
    • 2022.01 - General
    • 2021.12 - Container
    • 2021.11 - General
    • 2021.10 - General
  • Seminar
    • 2024.07 - 동국대 특강
    • 2024.06 - Generative AI
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  1. Immersion Day
  2. 2022.12 - Data Analytics
  3. Produce data to Kinesis Data Streams

Using the Amazon SDK with Kinesis

PreviousCofigure AWS Cloud 9 IDENextWorking with the SDK

Last updated 2 years ago

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Amazon SDK로 Kinesis 사용하기

해당 섹션에서는 Amazon SDK를 통해서 를 호출하는 방법에 대해서 자세히 살펴보겠습니다.

해당 섹션에서는 다음과 같은 작업을 수행합니다.

  1. (아직 없는 경우).

  2. Kinesis Data Streams API를 사용하여 Kinesis Data Stream에 데이터를 전송하는 방법에 대해 알아봅니다.

  3. Kinesis Data Stream에 데이터를 전송합니다.

  4. Kinesis Data Stream에 데이터를 전송할 때 지연 시간 최소화하는 방법에 대해 알아봅니다.

  5. 데이터가 각 샤드별로 순서대로 적재되는지 확인합니다.

Kinesis Data Streams API
Kinesis Data Stream을 생성합니다