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GC Pauses and Latency: The Hidden Cost of High-Level Languages
Java, Python, and JavaScript offer convenience, but garbage collection introduces unpredictable latency. Explore how runtime memory management affects performance in real systems.
C Gives You Control, But at What Cost?
C avoids garbage collection and gives manual memory control, but opens the door to dangerous bugs. Explore real-world memory issues and why they matter.
Rust: Memory Safety Without Garbage Collection
Rust gives you the performance of C with memory safety enforced at compile time. Learn how ownership and borrowing eliminate entire bug classes.
Avoiding heap allocation on a real-time path
Leveraging Rust's stack-based features like fixed-size arrays and Option to eliminate heap allocations in real-time systems for predictable, low-latency execution
Blanket implementations: one impl for every type that qualifies
Employing blanket implementations in Rust to minimize code duplication for maintainable libraries
Associated types vs. generics in a low-level I/O driver API
Utilizing associated types in Rust traits to design flexible, type-safe APIs for low-level I/O drivers and comparing advantages over generic type parameters
Deadlocks in C vs Rust: What Does Rust Really Prevent?
Deadlocks aren't prevented by compilers—but Rust adds safety guarantees that make writing deadlock-prone code harder. Here's how it compares to C.
?Sized: writing one function for both sized and unsized types
Understanding the role of ?Sized bounds in Rust trait definitions and leveraging them to create flexible functions that work with both sized and unsized types efficiently
Supertraits: enforcing a hierarchy of behaviours
Leveraging supertraits to establish behavior hierarchies and combining them with where clauses to optimize complex generic algorithms for performance and type safety