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Rust in a Polyglot World, from Client to Cloud

While Rust is typically pitched as systems programming language, it is equally adept at application development thanks to its high level features and great tooling. In addition to increased performance, native code has the advantage that it can easily be reused across different system components, an advantage even more pronounced in polyglot environments. In this talk, we would like to present our experience of using Rust to write core components in such a polyglot system.

Target Audience: Architects, Developers
Prerequisites: Basic knowledge of Python, Java
Level: Advanced

Extended Abstract
While Rust is typically pitched as systems programming language, it is equally adept at application development thanks to its high level features and great tooling. In addition to increased performance, native code has the advantage that it can easily be reused across different system components, an advantage even more pronounced in polyglot environments.
In this talk, we would like to present our experience of using Rust to write core components in such a polyglot system. The systems spans different contexts, from client to cloud, and different programming languages, from Python to Java, respectively. We will showcase how the Rust language itself and its tooling simplified this task and discuss different integration patterns.

Christopher Prohm is working as a Data Scientist for Volkswagen. His main focus is the application of machine learning and data analytics to problems in the area of technical development.
Christopher Prohm
14:00 - 14:45
Vortrag: Di 3.2

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