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

Real and synthetic traffic


Key performance indicators and a focus on the mean time to recovery are all well and good, but they are also largely academic unless there is traffic running through your cloud-native system. International companies will likely have traffic around the clock, but many systems do not have an international user base. Furthermore, even though the system as a whole may be receiving continuous traffic, individual regions will receive different levels of traffic throughout the day.

We are continuously deploying changes into production and we need to proactively assert the health of the system immediately after each deployment to be confident in the success of the deployment. However, without traffic in the system, there is no information available to assert the health of the system. This is particularly true when we are performing a canary deployment in an off-peak region, as we discussed in Chapter 6, Deployment.

We certainly want to monitor real user traffic and fully...