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

Using CloudWatch to aggregate your logs

Amazon's CloudWatch service is not only a powerful monitoring tool, but it also allows you to route multiple types of logs such as operating systems, applications, custom log files, and even CloudTrail logs to the dependable storage of CloudWatch Logs.

CloudWatch Logs allow you to group logs that come from the same source (log streams) and then search through those groups using filter patterns. Filter patterns are like the CloudWatch version of regular expressions and allow you to search through the different fields of the logs in your log streams and groups.

Using subscriptions, you can push either all the logs from a particular log stream or only those that meet a particular filter pattern. You can have subscriptions push data to either an Amazon Kinesis stream for real-time data processing or to a Lambda function for event-driven processing. You can even use a Lambda function to push logs that are driven into one or more CloudWatch...