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

Optimizing Cloud-Native Environments

Compute, networking, and storage form the bulk of Amazon Web Services (AWS) cost and usage. We’ve covered the services that are most common in these categories, such as Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), AWS’s various database services, and Amazon Virtual Private Cloud (VPC). However, given that AWS’ complete portfolio exceeds 200 services, we’ve only scratched the surface.

This chapter covers optimization opportunities that result from the induced demand of cloud-native environments; what I mean by this is the demand for AWS services that are more easily obtained in the cloud than from on-premises systems. For example, automatically horizontally scaling a fleet of servers is more easily done in the cloud than on-premises because if you were to horizontally scale your on-premises servers, you would first need to buy the maximum number of servers to meet your peak capacity, whereas...