Patrick Koss

Rust Beyond Systems: Revolutionizing Web Development

Most web languages catch critical bugs at runtime. Rust's compiler catches them before you deploy, from data races to invalid SQL queries.

Rust Beyond Systems: Revolutionizing Web Development
#1about 3 minutes

Understanding Rust's approach to error handling and mutability

Rust prevents common runtime issues by treating errors as return values and enforcing strict rules around mutable data to avoid race conditions.

#2about 4 minutes

Using macros and the compiler for thread safety

Procedural macros can validate code like SQL queries at compile time, while the compiler's ownership model inherently prevents data races in multi-threaded applications.

#3about 4 minutes

Eliminating null pointers and improving code structure

Rust's type system prevents null pointer dereferencing and provides zero-cost abstractions and standardized traits like `From` for cleaner, more maintainable code.

#4about 2 minutes

Analyzing the performance and cost benefits of Rust

Rust's efficiency leads to significant performance gains and cost savings in cloud environments like AWS Lambda compared to languages like Python or Java.

#5about 6 minutes

Building frontend applications with Rust and WebAssembly

The Leptos framework uses WebAssembly (Wasm) to build high-performance, signal-based frontend applications directly in Rust, rivaling traditional JavaScript frameworks.

#6about 2 minutes

Creating backend REST APIs with OpenAPI specifications

Libraries like `utoipa` allow for generating OpenAPI specifications directly from Rust code, simplifying the creation of well-documented and type-safe REST APIs.

#7about 2 minutes

Implementing observability with metrics and distributed tracing

Rust's ecosystem supports modern observability practices by enabling Prometheus metrics endpoints and simplified distributed tracing through procedural macros.

#8about 5 minutes

Integrating with databases, gRPC, and message queues

Rust provides robust libraries for connecting to various data stores like SQL databases, MongoDB, and Cassandra, as well as for building gRPC services and integrating with message queues like Kafka.

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