- Implementing Cloud Design Patterns for AWS(Second Edition)
- Sean Keery Clive Harber Marcus Young
- 229字
- 2021-06-24 15:11:47
Software engineer
For a software developer, the ability to share code and delivery tools across teams is critical. AWS gives you the ability to enforce consistency across environments. Different versions of core languages or libraries can be avoided by having uniform templates. Chapter 5, Continuous Deployment - Introducing New Features with Minimal Risk, emphasizes how these good continuous delivery practices in the cloud can lower business risk. Chapter 3, Availability Patterns - Understanding Your Needs, goes deeper on making sure your product is available, while Chapter 4, Security - Ensuring the Integrity of Your Systems, covers how a secure groundwork can be inherited across products and services. We'll lay out how developers can easily build cost-effective products, which can grow as demand intensifies. Data management patterns in Chapter 10, Databases - Identifying which Type Fits Your Needs, and Chapter 11, Data Processing - Handling Your Data Transformation, will help software engineers understand the trade-offs in architecting their MVPs.
The ability to spin up entire environments for testing and simulation in AWS is amazing. Providing developers with their own sandboxes improves their ability to innovate and deliver new features at a high velocity. In the cloud-native world, a single environment can be encapsulated on a single EC2 instance. We'll explore how application virtualization can further improve developer productivity in Chapter 8, Application Virtualization - Using Cloud Native Patterns for Your Workloads.
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