Book Image

Implementing Cloud Design Patterns for AWS - Second Edition

By : Sean Keery, Clive Harber, Marcus Young
Book Image

Implementing Cloud Design Patterns for AWS - Second Edition

By: Sean Keery, Clive Harber, Marcus Young

Overview of this book

Whether you're just getting your feet wet in cloud infrastructure or already creating complex systems, this book will guide you through using the patterns to fit your system needs. Starting with patterns that cover basic processes such as source control and infrastructure-as-code, the book goes on to introduce cloud security practices. You'll then cover patterns of availability and scalability and get acquainted with the ephemeral nature of cloud environments. You'll also explore advanced DevOps patterns in operations and maintenance, before focusing on virtualization patterns such as containerization and serverless computing. In the final leg of your journey, this book will delve into data persistence and visualization patterns. You'll get to grips with architectures for processing static and dynamic data, as well as practices for managing streaming data. By the end of this book, you will be able to design applications that are tolerant of underlying hardware failures, resilient against an unexpected influx of data, and easy to manage and replicate.
Table of Contents (20 chapters)
Title Page
Dedication
About Packt
Contributors
Preface
Free Chapter
1
Introduction to Amazon Web Services
Index

Analyzing your products


There's no point in running an environment and having products out in the wild if you don't understand how they are behaving; you can't just assume everything is fine. In fact, you need to work from the standpoint that nothing is fine and that it can all break at any time.

When you look at your environment in this manner, you will begin to realize that you need data in order to figure out what the issues are and how you might be able to resolve them. In theory, you will need to observe everything. The downside to all of this is that you will end up with a surplus of data—and, as a result, you will probably be swamped. In practice, however, observing everything (that is, every possible aspect of all of the tools in play) is impractical. You will need to decide what to watch in order to receive the best possible amount of information to be alerted to, find, and understand where an issue has developed.

We will start with logging.

Logging

Logging refers to the collection...