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

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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

Moving off from legacy databases

Many existing applications are built on legacy databases, and customers have had to deal with old-guard database providers that are expensive, proprietary, have a high lock-in, impose punitive licensing terms, and perform frequent audits. For example, Oracle announced they would double their licensing costs if you run their software on AWS or Microsoft. Because of this, customers are trying to move as fast as possible to open-source databases like MySQL, PostgreSQL, and MariaDB.

However, getting the same performance on open-source databases as on commercial-grade databases is complex and requires a lot of tuning. Customers that are moving to open-source databases are looking for the performance of commercial-grade databases with the pricing, freedom, and flexibility of open-source databases.

To fill this gap, AWS launched Amazon Aurora, a MySQL and PostgreSQL compatible relational database built for the cloud that combines the performance and availability...

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Moving off from legacy databases

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Table of Contents (19) Chapters