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.

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Table of Contents (18 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the color images
Conventions used
Get in touch
Share Your Thoughts
1
Chapter 1: FinOps Foundation
Chapter 1: FinOps Foundation
Changing with the cloud
Rethinking procurement
Defining FinOps
Summary
Further readings
Free Chapter
2
Part 1: Managing Your AWS Inventory
Part 1: Managing Your AWS Inventory
3
Chapter 2: Establishing the Right Account Structure
Chapter 2: Establishing the Right Account Structure
Technical requirements
Establishing an operating model
Creating a multi-account environment
Understanding billing with AWS Organizations
Summary
Further reading
4
Chapter 3: Managing Inventory
Chapter 3: Managing Inventory
Technical requirements
Tracking your AWS resources
Establishing a tagging strategy
Grouping tags with AWS Cost Categories
Summary
Further reading
5
Chapter 4: Planning and Metrics Tracking
Chapter 4: Planning and Metrics Tracking
Technical requirements
Cost monitoring on AWS
Budgeting on AWS
Setting up AWS Cost Anomaly Detection
Summary
Further reading
6
Chapter 5: Governing Cost and Usage
Chapter 5: Governing Cost and Usage
Technical requirements
A quick primer on IAM
Governance with SCP
Implementing tagging policies
Governance with Service Catalog
Auditing with CloudTrail
Summary
Further reading
7
Part 2: Optimizing Your AWS Resources
Part 2: Optimizing Your AWS Resources
8
Chapter 6: Optimizing Compute
Chapter 6: Optimizing Compute
Technical requirements
Leveraging steady state discounts
Maximizing savings for flexible workloads
Right sizing compute
Summary
Further reading
9
Chapter 7: Optimizing Storage
Chapter 7: Optimizing Storage
Technical requirements
Optimizing object storage
Optimizing databases
Optimizing block and file storage
Summary
Further reading
10
Chapter 8: Optimizing Networking
Chapter 8: Optimizing Networking
Technical requirements
Understanding data transfer scenarios
Managing data transfer costs
Tips for minimizing data transfer costs
Summary
Further reading
11
Chapter 9: Optimizing Cloud-Native Environments
Chapter 9: Optimizing Cloud-Native Environments
Technical requirements
Maximizing efficiency with AWS Auto Scaling
Optimizing analytics
Optimizing ML
Summary
Further reading
12
Part 3: Operationalizing FinOps
Part 3: Operationalizing FinOps
13
Chapter 10: Data-Driven FinOps
Chapter 10: Data-Driven FinOps
Establishing a centralized function
Creating an effective metrics strategy
Defining the right metrics
Leveraging the CUR
Summary
Further reading
14
Chapter 11: Driving FinOps Autonomously
Chapter 11: Driving FinOps Autonomously
Creating a self-service FinOps portal
Forecasting spending using ML-driven insights
Forecasting cost and usage with Amazon Forecast
Automating cost optimization within operations
Integrating Trusted Advisor with other AWS services
Summary
Further reading
15
Chapter 12: Management Functions
Chapter 12: Management Functions
Leveraging AWS Solutions
Conducting billing and administrative tasks
Scaling FinOps for your organization
Summary
Further reading
16
Index
Index
Why subscribe?
17
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Tips for minimizing data transfer costs

There are a few things to keep in mind when considering waste reduction with data transfer. The first involves data transfer out to the internet. We saw that data transfer can go directly from EC2 instances out to the internet, or that you can leverage CloudFront to serve content to your users.

Using CloudFront offers several advantages. First, while both CloudFront and traditional data transfer out are charged on a per-GB basis, you’ll see cost savings by using Amazon CloudFront because CloudFront doesn’t charge for origin fetch operations. Origin fetch is the process of retrieving content from an origin, like an EC2 instance. When the origin is an AWS service such as EC2, there is no data transfer charge between those AWS services and CloudFront. Moreover, the volume discount of data transfer out from CloudFront to the internet is greater than the rate from EC2 to the internet. So, for data transfer at scale, CloudFront will...

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