You're reading from AWS for Solutions Architects The definitive guide to AWS Solutions Architecture for migrating to, building, scaling, and succeeding in the cloud

Product type Paperback

Published in Apr 2023

Publisher Packt

ISBN-13 9781803238951

Length 692 pages

Edition 2nd Edition

Tools

AWS

Concepts

Cloud Computing

Authors (4):

Neelanjali Srivastav

Saurabh Shrivastava

Alberto Artasanchez

Imtiaz Sayed

View More author details

Table of Contents (19) Chapters

AWS for Solutions Architects, Second Edition: Design your cloud infrastructure by implementing DevOps, containers, and Amazon Web Services

1 Understanding AWS Principles and Key Characteristics FREE CHAPTER

2 Understanding AWS Well-Architected Framework and Getting Certified

3 Leveraging the Cloud for Digital Transformation

4 Networking in AWS

5 Storage in AWS – Choosing the Right Tool for the Job

6 Harnessing the Power of Cloud Computing

7 Selecting the Right Database Service

8 Best Practices for Application Security, Identity, and Compliance

9 Dive efficiency with Cloud Operation Automation and DevOps in AWS

10 Bigdata and streaming data processing in AWS

11 Datawarehouse, Data Query and Visualization in AWS

12 Machine Learning, IoT, and Blockchain in AWS

13 Containers in AWS

14 Microservice and Event-Driven Architectures

15 Domain-Driven Design

16 Data Lake Patterns – Integrating Your Data across the Enterprise

17 Availability, Reliability, and Scalability Patterns

18 AWS Hands-On Lab and Use Case

AWS AI services

In Figure 12.1, AI services are at the top stack, representing pre-trained AI services that can be easily integrated into your applications or workflows with just a few API calls without the need for machine learning, specialized skills or training. These services are divided into several categories, including:

Vision

Services such as Amazon Rekognition and Amazon Textract provide image and video analysis, object and scene recognition, and text extraction capabilities.

Amazon Rekognition: Rekognition is a deep learning-based computer vision service that analyzes images and videos. It allows you to analyze images and videos and extract information from them, such as objects, people, text, scenes, and activities. This service can be used for a wide range of use cases, such as object recognition, image search, facial recognition, and video analysis.

With Rekognition, you can provide an image or video to the API, which will analyze it and return information about the content...