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

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

Best Practices to build AWS IoT application

When building an IoT application on AWS, you should keep the following best practices to keep in mind:

Secure your devices: Ensure that all your devices are correctly configured and have the latest security updates. Use AWS IoT Device Defender to monitor and secure your devices against potential security threats.
Use MQTT or HTTPS for communication: These protocols are designed for low-bandwidth, low-power devices and are well-suited for IoT applications.
Use AWS IoT Analytics to process and analyze your data: This service provides tools for cleaning, filtering, and transforming IoT data before it is analyzed.
Store your data in the right place: Depending on your use case, you may want to store your data in a time-series database like Amazon Timestream or a data lake like Amazon S3.
Use AWS IoT Greengrass for edge computing: With Greengrass, you can run AWS Lambda functions on your devices, allowing you to process and analyze data locally before...

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