In this chapter, we discussed the need to shift some testing to the right into production where we continuously monitor key performance indicators and focus on the mean time to recovery in an effort to increase our confidence in the stability of our cloud-native systems. We leverage both real and synthetic traffic and fully instrument our cloud-native components to maximize the observability of the system. We discussed the need to alert liberally, but page judiciously on user-visible symptoms rather than causes. Once a problem is identified, we investigate the system's work metrics, resource metrics, and events to diagnose the root cause and determine the appropriate actions that must be taken to recover quickly. We also discussed how the observability of a cloud-native system enables teams to continuously tune and improve the performance of the system.
Architecting Cloud Native Applications
By :
Architecting Cloud Native Applications
By:
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
Free Chapter
Understanding Cloud Native Concepts
The Anatomy of Cloud Native Systems
Foundation Patterns
Boundary Patterns
Control Patterns
Deployment
Testing
Monitoring
Security
Cloud Native Application Design
How to Choose Technology Stacks
Optimizing Cost
Scalable and Available
Amazon Web Services
Microsoft Azure
Google Cloud Platform
What's Next? Cloud Native Application Architecture Trends
Other Books You May Enjoy
Index
Customer Reviews