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)
1
Section 1: Establishing the Fundamentals
7
Section 2: Developing, Deploying, and Using Infrastructure as Code
16
Section 3: Monitoring and Logging Your Environment and Workloads
21
Section 4: Enabling Highly Available Workloads, Fault Tolerance, and Implementing Standards and Policies
27
Section 5: Exam Tips and Tricks

Orchestrating Step Functions with Lambda

There may be times when you need to coordinate multiple Lambda functions together to perform a larger task. Step Functions can make decisions based on input received in the state machine, run steps in parallel, and even be connected to other services such as SNS to request human input for tasks.

Step Functions also create a visual workflow that allows you to see the individual steps in the process. As the Step Functions run, you can see the success or failure of your state machine.

Understanding state machines inside of Step Functions

The state machine is the orchestration feature of the Step Function. It defines the order in which the steps are run, along with any data that's been received from previous states and passed out to be used by other states.

State machine commands are always written in JSON format. Even if you have written your CloudFormation template in YAML format, you will still need to create your state...