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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

Lambda triggers and event source mappings

Lambda triggers are especially useful for kicking off numerous applications when a piece of data is uploaded to a specific S3 bucket. AWS provides examples of images being uploaded to buckets in many of its talks and presentations. This image then triggers a Lambda function, which will resize the image so that it's more compressed and then place it in a folder for GIFs. Many times, this same function will place a pointer for the newly resized image in a DynamoDB table. These resized images are more accessible and quicker for end users to download, and this all happens automatically once a source image has been uploaded:

Figure 12.5 – The flow of an image being uploaded to an S3 bucket that triggers a lambda function for image resizing

Figure 12.5 – The flow of an image being uploaded to an S3 bucket that triggers a Lambda function for image resizing

There are even more things we can do with bucket triggers than just image resizing, especially in an enterprise and DevOps context. Remember that S3 can be used as source...

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