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

Purpose of a data lake

If your company is a bootstrap start-up that has a small client base, you might not need a data lake. However, even the smaller entities that adopt the data lake pattern in their data ingestion and consumption will be nimbler than their competitors. Especially if you already have other systems in place, adopting a data lake will come at a significant cost, so the benefits must clearly outweigh these costs, but in the long run, this might be the difference between crushing your competitors and being thrust into the pile of failed companies.

Some of the benefits of having a data lake are as follows:

  • Increasing operational efficiency: Finding your data and deriving insights from it becomes easier with a data lake.
  • Making data more available across organizations and busting silos: Having a centralized location will enable everyone in the organization to have access to the same data if they are authorized to access it.
  • Lowering transactional costs...