Book Image

AWS for Solutions Architects

By : Alberto Artasanchez
3 (1)
Book Image

AWS for Solutions Architects

3 (1)
By: Alberto Artasanchez

Overview of this book

One of the most popular cloud platforms in the world, Amazon Web Services (AWS) offers hundreds of services with thousands of features to help you build scalable cloud solutions; however, it can be overwhelming to navigate the vast number of services and decide which ones best suit your requirements. Whether you are an application architect, enterprise architect, developer, or operations engineer, this book will take you through AWS architectural patterns and guide you in selecting the most appropriate services for your projects. AWS for Solutions Architects is a comprehensive guide that covers the essential concepts that you need to know for designing well-architected AWS solutions that solve the challenges organizations face daily. You'll get to grips with AWS architectural principles and patterns by implementing best practices and recommended techniques for real-world use cases. The book will show you how to enhance operational efficiency, security, reliability, performance, and cost-effectiveness using real-world examples. By the end of this AWS book, you'll have gained a clear understanding of how to design AWS architectures using the most appropriate services to meet your organization's technological and business requirements.
Table of Contents (20 chapters)
1
Section 1: Exploring AWS
4
Section 2: AWS Service Offerings and Use Cases
11
Section 3: Applying Architectural Patterns and Reference Architectures
17
Section 4: Hands-On Labs

Definition of a data lake

It's a good time to be alive. We have a tremendous amount of information available with just a few keystrokes (thank you, Google) or a simple voice command (thank you, Alexa).

The data that companies are generating is richer than ever before. The amount they are generating is growing at an exponential rate. Fortunately, the processing power needed to harness this deluge of data is ever increasing and becoming cheaper. Cloud technologies such as AWS allow us to scale data almost instantaneously and in a massive fashion:

Figure 12.1 – The problem with the abundance of information

Data is everywhere today. It was always there, but it was too expensive to keep it. With the massive drops in storage costs, enterprises are keeping much of what they were throwing away before. And this is the problem.

Many enterprises are collecting, ingesting, and purchasing vast amounts of data but are struggling to gain insights from it...