Cloud Native Patternsis your guide to developing strong applications that thrive in the dynamic, distributed, virtual world of the cloud. This book presents a mental model for cloud-native applications, along with the patterns, practices, and tooling that set them apart.
About the Technology
Cloud platforms promise the holy grail: near-zero downtime, infinite scalability, short feedback cycles, fault-tolerance, and cost control. But, how do you get there? By applying cloudnative designs, developers can build resilient, easily adaptable, web-scale distributed applications that handle massive user traffic and data loads. Learn these fundamental patterns and practices, and you'll be ready to thrive in the dynamic, distributed, virtual world of the cloud.
About the Book
With 25 years of experience under her belt, Cornelia Davis teaches you the practices and patterns that set cloud-native applications apart. With realistic examples and expert advice for working with apps, data, services, routing, and more, she shows you how to design and build software that functions beautifully on modern cloud platforms. As you read, you will start to appreciate that cloud-native computing is more about the how and why rather than the where.
What's inside
• The lifecycle of cloud-native apps
• Cloud-scale configuration management
• Zero downtime upgrades, versioned services, and parallel deploys
• Service discovery and dynamic routing
• Managing interactions between services, including retries and circuit breakers
About the Reader
Requires basic software design skills and an ability to read Java or a similar language.
Table of Contents
PART 1 - THE CLOUD-NATIVE CONTEXT
• You keep using that word: Defining "cloud-native"
• Running cloud-native applications in production
• The platform for cloud-native software
PART 2 - CLOUD-NATIVE PATTERNS
• Event-driven microservices: It's not just request/response
• App redundancy: Scale-out and statelessness
• Application configuration: Not just environment variables
• The application lifecycle: Accounting for constant change
• Accessing apps: Services, routing, and service discovery
• Interaction redundancy: Retries and other control loops
• Fronting services: Circuit breakers and API gateways
• Troubleshooting: Finding the needle in the haystack
• Cloud-native data: Breaking the data monolith
