Rust prevents common runtime issues by treating errors as return values and enforcing strict rules around mutable data to avoid race conditions.
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.
Rust's type system prevents null pointer dereferencing and provides zero-cost abstractions and standardized traits like `From` for cleaner, more maintainable code.
Rust's efficiency leads to significant performance gains and cost savings in cloud environments like AWS Lambda compared to languages like Python or Java.
The Leptos framework uses WebAssembly (Wasm) to build high-performance, signal-based frontend applications directly in Rust, rivaling traditional JavaScript frameworks.
Libraries like `utoipa` allow for generating OpenAPI specifications directly from Rust code, simplifying the creation of well-documented and type-safe REST APIs.
Rust's ecosystem supports modern observability practices by enabling Prometheus metrics endpoints and simplified distributed tracing through procedural macros.
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.
31:20Marco Otte-Witte
50:43Rainer Stropek
1:00:08Stefan Baumgartner
00:18Stefan Baumgartner
27:27Michele Riva
27:27Stefan Schöberl
25:56Francesco Ciulla
57:45Rainer Stropek
.webp?w=240&auto=compress,format)
Jobs that call for the skills explored in this talk.
Peter Park System GmbH
München, Germany
doinstruct Software GmbH
Berlin, Germany
Adnovum
CodeGuild
Amsterdam, Netherlands