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

Managing data transfer costs

Use Cost Explorer as a starting point to manage and visualize your data transfer costs. Just like any other resource, data transfer is part of your inventory. Arguably, it’s easier to have a firm grasp of (virtually) tangible AWS resources such as EC2 instances over intangibles such as data transfer. But because Cost Explorer is free and can be used out of the box, it can help reveal data transfer costs that are seemingly intangible.

In Cost Explorer, use the suggested filters in this section to create reports that clarify your data transfer use on AWS. Apply filters at the service level, focusing on EC2-Instances and EC2-ELB, as shown in Figure 8.7. This reduces the amount of data we need to look at and most data transfer will also be driven by these two services:

Figure 8.7 – Service filters for two main contributors to data transfer

The other helpful filter is Usage Type Group. There are three usage types to...