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Amazon Kinesis 数据流底层原理.pdf

上传人: 明**** 编号:1012465 2025-12-21 73页 1.45MB

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.A N T 4 2 3Amazon Kinesis Data Streams under the hoodJohn MorkelDirector,Software DevelopmentAmazon Web Services(AWS)Ali AlemiPr.Data Streaming ArchitectAmazon Web S

2、ervices(AWS)2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.AgendaIntroducing Amazon Kinesis Data StreamsCommon customers asksNew featuresDemoKinesis Streams under the hood 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affil

3、iates.All rights reserved.Introducing Amazon Kinesis Data Streams 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Amazon Kinesis Data StreamsFully managed,serverless streaming data serviceCollect,process and analyze real-time data streamsServerless,Scale&Elasticity,Secure&High Ava

4、ilable 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Amazon Kinesis Data StreamsManaged Service for Apache FlinkAmazonData FirehoseSpark on EMRAmazon EC2AWS LambdaINPUTCapture and send data to Amazon Kinesis Data StreamsKinesis Data StreamsIngests and stores data streams for pro

5、cessingOUTPUTAnalyze Streaming data using your favorite BI tools 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Amazon Kinesis Data StreamsPrime DayPeak of 807 M/secondEvery Day3.4+million streams=70PBLargest streams10 GB/second 2025,Amazon Web Services,Inc.or its affiliates.All

6、rights reserved.GB/s of data ingestGB/s data fan outMillions of records per secondA multi-tenant environmentSingle Kinesis StreamHighly elastic streaming storage 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.4 Pillars of Kinesis StreamsElasticDynamically scalable data ingestion

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根据《Amazon Kinesis Data Streams under the hood》的内容,以下是全文关键点的概括: 1. **服务介绍**:Amazon Kinesis Data Streams 是一个完全托管、无服务器的实时数据流服务,用于收集、处理和分析数据流。 2. **性能数据**:支持每秒高达10 GB的数据摄入和输出,处理数百万条记录。 3. **弹性**:支持自动扩展,根据需求动态调整资源,无需预置容量。 4. **新特性**:引入了按需流模式,降低成本,并支持大记录处理,最大记录大小提升至10 MiB。 5. **架构**:采用多区域架构,提供高可用性和持久性,支持自动分片和合并。 6. **API和集成**:提供丰富的API和集成,支持Apache Flink、Spark、AWS Lambda等。 7. **最佳实践**:推荐使用Kinesis Producer Library (KPL) 进行数据生产,并建议数据聚合以优化性能。
"Kinesis流如何应对流量激增?" "揭秘Kinesis流的新特性!" 弹性伸缩的秘密武器!"
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