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

Building video-enabled applications with KVS

Now that we have learned the fundamentals of KVS and KVS-WebRTC, they can be combined to enable video functionality in the SmartCity use case. The architecture shown in the following diagram fully exercises the video capabilities of KVS:

Figure 7.9 – SmartCity monitoring architecture

Throughout this chapter, we have built the component pieces of this architecture. The full solution is available in this book's GitHub repository. The application provides security and situational awareness for the users of the SmartCity bike system. It all starts with a camera pointed at the bike stands and supports the following three capabilities:

  • Real-time access to the camera via a browser using WebRTC
  • The ability to pull archival clips based on a timeframe using the AWS CLI to get a media file and using the CLI and VLC to view a stream
  • Automatic detection of known vandals via facial recognition using...