Ruby can serve as a high-level orchestrator in performance-sensitive systems by delegating computationally intensive work to native C or Rust extensions. Through Ruby's C API, gems like Nokogiri, pg, and oj integrate native libraries while Ruby manages application logic and workflow. The post walks through a minimal C extension example, image processing with libgd, and geospatial rendering as case studies. This hybrid model lets developers combine Ruby's expressiveness with native performance, enabling use cases in scientific computing, real-time systems, and GIS pipelines well beyond traditional web applications.

3m read timeFrom rubystacknews.com
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Table of contents
Why Native Extensions?A Simple ExampleReal-World Use CasesImage Processing as a Case StudyExtending Ruby for Specialized DomainsA Practical Example: Ruby and Geospatial RenderingThe Hybrid Future of RubyFinal Thoughts

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