Book Image

Scalable Data Streaming with Amazon Kinesis

By : Tarik Makota, Brian Maguire, Danny Gagne, Rajeev Chakrabarti
Book Image

Scalable Data Streaming with Amazon Kinesis

By: Tarik Makota, Brian Maguire, Danny Gagne, Rajeev Chakrabarti

Overview of this book

Amazon Kinesis is a collection of secure, serverless, durable, and highly available purpose-built data streaming services. This data streaming service provides APIs and client SDKs that enable you to produce and consume data at scale. Scalable Data Streaming with Amazon Kinesis begins with a quick overview of the core concepts of data streams, along with the essentials of the AWS Kinesis landscape. You'll then explore the requirements of the use case shown through the book to help you get started and cover the key pain points encountered in the data stream life cycle. As you advance, you'll get to grips with the architectural components of Kinesis, understand how they are configured to build data pipelines, and delve into the applications that connect to them for consumption and processing. You'll also build a Kinesis data pipeline from scratch and learn how to implement and apply practical solutions. Moving on, you'll learn how to configure Kinesis on a cloud platform. Finally, you’ll learn how other AWS services can be integrated into Kinesis. These services include Redshift, Dynamo Database, AWS S3, Elastic Search, and third-party applications such as Splunk. By the end of this AWS book, you’ll be able to build and deploy your own Kinesis data pipelines with Kinesis Data Streams (KDS), Kinesis Data Firehose (KFH), Kinesis Video Streams (KVS), and Kinesis Data Analytics (KDA).
Table of Contents (13 chapters)
1
Section 1: Introduction to Data Streaming and Amazon Kinesis
5
Section 2: Deep Dive into Kinesis
10
Section 3: Integrations

Discovering Amazon KVS

KVS is a fully managed service that helps devices stream live video data into AWS for further processing and storage. It is durable and time indexed both when the media is captured by the camera and when it is received on the server. The AWS KVS console can play back the media stream if it's encoded in H.264 format. It can scale to handle millions of devices and it integrates with AWS machine learning resources such as Amazon Rekognition.

There are costs for data ingestion, storage, and consumption. Fortunately, the storage cost is the same cost as S3, so there is no penalty for using Kinesis for long-term storage. It also facilitates video workloads by allowing you to access data through time-based queries. The API also makes it easy to generate HLS streams, Dash streams, and MP4 clips from data in the stream.

KVS is finding use in the surveillance space to store information for retrieval so that it can be automatically analyzed by machine learning...