Book Image

AWS FinOps Simplified

By : Peter Chung
Book Image

AWS FinOps Simplified

By: Peter Chung

Overview of this book

Much like how DevOps is a combination of cultural philosophies, practices, and tools that advocate a collaborative working relationship between development and IT operations, FinOps encourages the same collaboration between technology and finance team, making it key relationship to establish and maintain for any thriving business. This book will help you understand how organizations with a mature FinOps practice can decentralize cost ownership to developer teams and encourage cross-functional collaboration between business, finance, and technology, enabling speed, innovation, and business growth. You’ll focus on structuring your organization to form the right FinOps team, including a Cloud Center of Excellence, and learn how to implement practical cost savings measures with AWS tools to optimize costs in both the short as well as long term. By the end of this cloud FinOps book, you’ll be ready to implement a successful Cloud FinOps practice for your organization to get the best value from the AWS cloud for your workloads.
Table of Contents (18 chapters)
Free Chapter
2
Part 1: Managing Your AWS Inventory
7
Part 2: Optimizing Your AWS Resources
12
Part 3: Operationalizing FinOps

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “Mount the downloaded WebStorm-10*.dmg disk image file as another disk in your system.”

A block of code is set as follows:

model = sagemaker.estimator.Estimator(
container,
role,
train_instance_count=1,
train_instance_type='ml.m4.4xlarge,
input_mode='Pipe'…)

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

model = sagemaker.estimator.Estimator(
container,
role,
train_instance_count=1,
train_instance_type='ml.m4.4xlarge,
input_mode='Pipe'…)

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “Select System info from the Administration panel.”

Tips, important notes, and use cases

Appear like this.