
How to make good programming decisions
Optimize the decisions that define your code by exploring the common mistakes and intentional tradeoffs made by expert developers.
In Software Mistakes and Tradeoffs you will learn how to:
- Reason about your systems to make intuitive and better design decisions
- Understand consequences and how to balance tradeoffs
- Pick the right library for your problem
- Thoroughly analyze all of your service’s dependencies
- Understand delivery semantics and how they influence distributed architecture
- Design and execute performance tests to detect code hot paths and validate a system’s SLA
- Detect and optimize hot paths in your code to focus optimization efforts on root causes
- Decide on a suitable data model for date/time handling to avoid common (but subtle) mistakes
- Reason about compatibility and versioning to prevent unexpected problems for API clients
- Understand tight/loose coupling and how it influences coordination of work between teams
- Clarify requirements until they are precise, easily implemented, and easily tested
- Optimize your APIs for friendly user experience
Learn how code duplication impacts the coupling and evolution speed of your systems, and how simple-sounding requirements can have hidden nuances with respect to date and time information. Discover how to efficiently narrow your optimization scope according to 80/20 Pareto principles, and ensure consistency in your distributed systems. You’ll soon have built up the kind of knowledge base that only comes from years of experience.