Book Image

AWS Certified DevOps Engineer - Professional Certification and Beyond

By : Adam Book
Book Image

AWS Certified DevOps Engineer - Professional Certification and Beyond

By: Adam Book

Overview of this book

The AWS Certified DevOps Engineer certification is one of the highest AWS credentials, vastly recognized in cloud computing or software development industries. This book is an extensive guide to helping you strengthen your DevOps skills as you work with your AWS workloads on a day-to-day basis. You'll begin by learning how to create and deploy a workload using the AWS code suite of tools, and then move on to adding monitoring and fault tolerance to your workload. You'll explore enterprise scenarios that'll help you to understand various AWS tools and services. This book is packed with detailed explanations of essential concepts to help you get to grips with the domains needed to pass the DevOps professional exam. As you advance, you'll delve into AWS with the help of hands-on examples and practice questions to gain a holistic understanding of the services covered in the AWS DevOps professional exam. Throughout the book, you'll find real-world scenarios that you can easily incorporate in your daily activities when working with AWS, making you a valuable asset for any organization. By the end of this AWS certification book, you'll have gained the knowledge needed to pass the AWS Certified DevOps Engineer exam, and be able to implement different techniques for delivering each service in real-world scenarios.
Table of Contents (31 chapters)
Section 1: Establishing the Fundamentals
Section 2: Developing, Deploying, and Using Infrastructure as Code
Section 3: Monitoring and Logging Your Environment and Workloads
Section 4: Enabling Highly Available Workloads, Fault Tolerance, and Implementing Standards and Policies
Section 5: Exam Tips and Tricks

Inserting and accessing data in DynamoDB

Now that we've covered the history and theory of DynamoDB, it's time to put our hands on our keyboards and actually get into the data.

For our example, we will create a fictional database to keep track of the projects at our company. This can include information such as ProjectID, the name of the project, who the project owner is, what the contact email is for the project or the team, and even other information such as build and language information. Since DynamoDB has a flexible schema, not all this information is needed in all the rows. We do, however, need to declare our primary key and then, depending on what we query, our secondary key.

Our schema will look like the following JSON:

< optional information (like language or build id) >, 

With our schema defined, we can start creating our table.

Creating tables in Dynamo DB

We can now open up our terminal...