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AWS Certified DevOps Engineer - Professional Certification and Beyond

AWS Certified DevOps Engineer - Professional Certification and Beyond

By : Adam Book
3.4 (8)
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AWS Certified DevOps Engineer - Professional Certification and Beyond

AWS Certified DevOps Engineer - Professional Certification and Beyond

3.4 (8)
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)
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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

S3 Batch hands on-example

To test out the power of S3 Batch, we are going to take 75 files, upload them to our bucket, and then use AWS Batch to add a tag to each of the files almost instantly.

Note

If you don't want to re-create all the files for this exercise, then simply go to the GitHub repository for this book; there are 75 small files available in Chapter 4, Amazon S3 Blob Storage, in the batch subfolder.

Also, since all the files have the .txt extension, you may want to turn off the S3 event notification or unsubscribe from the topic before uploading all of the exercise files to the S3 bucket.

We will now use a hands-on example with S3 Batch to update the tags on a number of files at once. If you have a mandatory tagging strategy in place and files are missing some of those tags, then this can be an efficient way of managing those changes rather than trying to either write a custom script to perform the task or changing the tags on the files manually:

    ...

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