Book Image

Architecting Cloud Native Applications

By : Kamal Arora, Erik Farr, John Gilbert, Piyum Zonooz
Book Image

Architecting Cloud Native Applications

By: Kamal Arora, Erik Farr, John Gilbert, Piyum Zonooz

Overview of this book

Cloud computing has proven to be the most revolutionary IT development since virtualization. Cloud native architectures give you the benefit of more flexibility over legacy systems. This Learning Path teaches you everything you need to know for designing industry-grade cloud applications and efficiently migrating your business to the cloud. It begins by exploring the basic patterns that turn your database inside out to achieve massive scalability. You’ll learn how to develop cloud native architectures using microservices and serverless computing as your design principles. Then, you’ll explore ways to continuously deliver production code by implementing continuous observability in production. In the concluding chapters, you’ll learn about various public cloud architectures ranging from AWS and Azure to the Google Cloud Platform, and understand the future trends and expectations of cloud providers. By the end of this Learning Path, you’ll have learned the techniques to adopt cloud native architectures that meet your business requirements. This Learning Path includes content from the following Packt products: • Cloud Native Development Patterns and Best Practices by John Gilbert • Cloud Native Architectures by Erik Farr et al.
Table of Contents (24 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Cost optimization


Now that we have an approach for collecting, tracking, and viewing costs in a cloud environment, how do we optimize these costs? There are two distinct camps on what is meant by optimizing costs. One camp hears minimize (to reduce to the smallest possible amount) while the other hears maximize (to make the best use of). Both camps are technically correct, since no IT organization has a bottomless budget (hence you minimize to constrain costs within your budget). However, today's leading organizations have changed the way they look at IT outlays. They seek to maximize business benefits and link technology investments to business outcomes. This is what is meant by maximizing/optimizing our technology costs. The first question requires technology decisions. The second requires technical experimentation, patience, and business acumen.

Compute optimization

Typically, the largest savings in a cloud environment are realized during a right sizing exercise for the compute resources...