About this ebook
Rust's strict ownership model and borrow checker are revolutionary, eliminating entire classes of memory vulnerabilities. However, compile-time safety does not guarantee logical correctness. In complex systems programming, a program can be perfectly memory-safe while remaining completely incorrect.
Testing and Debugging Rust Applications is the definitive guide for intermediate and advanced developers who want to bridge the gap between "it compiles" and "it is production-ready." This comprehensive resource moves beyond basic syntax to explore the professional discipline of software verification, equipping you with the tools to build robust, maintainable, and highly observable systems.
Inside this book, you will discover how to:
Leverage Rust's type system to make invalid states unrepresentable and eliminate redundant tests.
Master the Cargo testing infrastructure to organize, isolate, and execute unit and integration tests at scale.
Abstract complex external dependencies like databases and network clients using traits, mocks, and stateful fakes.
Conquer the challenges of testing asynchronous and concurrent code using Tokio, virtual time, and explicit synchronization.
Move beyond example-based testing by implementing property-based testing and coverage-guided fuzzing to uncover hidden vulnerabilities.
Benchmark your algorithms precisely using Criterion and profile execution bottlenecks with flamegraphs.
Establish a professional debugging workflow using GDB, LLDB, and advanced error propagation techniques.
Implement structured logging, tracing, and metrics to maintain absolute visibility over your live production deployments.
Whether you are building high-performance network proxies, database storage engines, or embedded controllers, this book provides the actionable workflows and architectural patterns required to guarantee reliability.
Stop hoping your code works. Prove it.
