Cloud Native
Designing change-tolerant software
Author Cornelia Davis likes to say that "the cloud" is more about how you design your applications than where you deploy them. Cloud Native: Designing Change-tolerant Software is 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 sets them apart. In it, you'll find realistic examples and expert advice for working with apps, data, services, routing, and more.
"Great introduction material that provides answers to all questions that come up when getting involved into cloud native development."
~ Gregor Zurowski
Table of Contents detailed table of contents
Part 1: The Cloud-native Context: What are we Designing to? Defined
1. You Keep Using that Word: Defining Cloud
1.1. It’s Not Amazon’s Fault
1.2. Today’s Application Requirements
1.2.1. Zero Downtime
1.2.2. Shortened Feedback Cycles
1.2.3. Mobile and Multi-Device Support
1.2.4. Connected Devices — Also Known as the Internet of Things
1.2.5. Data-Driven
1.3. Cloud-Native Software
1.3.1. Defining Cloud-Native
1.3.2. Cloud-Native Software — The Pieces and Parts
1.3.3. A Model for Cloud-Native Software
1.3.4. Cloud-Native Software in Action
1.4. Cloud, Cloud-Native, None of the Above and Somewhere In-Between
1.5. Summary
2. Running Cloud-Native Applications in Production
2.1. The Obstacles
2.1.1. Snowflakes
2.1.2. Risky Deployments
2.1.3. Change Is the Exception
2.1.4. Production Instability
2.2. The Enablers
2.2.1. Continuous Delivery
2.2.2. Repeatability
2.2.3. Safe Deployments
2.2.4. Change Is the Rule
2.3. Summary
3. The Platform for Cloud-Native Software
3.1. The Cloud(-/native) Platform Evolution
3.2. Cloud-Native Dial Tone
3.3. The Platform Supports the Entire SDLC
3.4. Enable Operational Excellence
3.4.1. Repeatability
3.4.2. Security, Change-Control, Compliance (the Control Functions)
3.4.3. Autonomy
3.4.4. Reliability
3.5. Support Microservice-Based Software Architectures
3.5.1. Multi-Tenancy
3.5.2. That Which Is Distributed Once Was Not
3.6. Summary
Part 2: Cloud-Native Foundations
4. It’s not Just Request/Reponse
4.1. We are (Usually) Taught Imperative Programming
4.2. (Re)Introducing Event-driven Computing
4.3. My Global Cookbook
4.3.1. Request/Response
4.3.2. Event-driven
4.4. Different Styles, Similar Challenges
4.5. Summary
5. Stateless Apps
5.1. Example: Hello Who?
5.1.1. Setup
5.1.2. Building the App
5.1.3. Run it in the Cloud
5.2. Sticky Sessions
5.3. There is State — Just not in the App
5.4. How to Create Stateless Apps
5.5. Summary
6. Application Configuration: More than Just Environment Variables
7. The Application Lifecycle in the Cloud
8. Routing: Centralized or Distributed, Keep up with Changes
9. Resilient Connections: Retries and Message Queues
10. Service Versioning, Parallel deploys, API Gateways
11. Troubleshooting: Needle in the Haystack
12. Cloud-native Data: Breaking the Data Monolith
13. The Unified Log: Changing the Source of Truth
About the Technology
We are amid a radical change in how we design and build applications. With cloud platforms like AWS, Azure, and Google Cloud, even small teams can take full advantage of web-scale distributed application patterns and practice. Users and customers have higher expectations for reliability, availability, and performance. Cloud-native software promises near-zero downtime, shortened feedback cycles, multi-device support, and improved cost control. All this means developers need to learn new skills and techniques, along with a new way of thinking about application design.What's inside
- The application lifecycle of Cloud Native apps
- Automated configuration management
- Multi-tenant services, versioned services, and parallel deploys
- Understanding Cloud Native Routing
- Managing dependencies between apps and services
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