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Streaming video analysis in Rust using Pravega
How does Rust hold up when developing complex real world applications?
This talk is a case study based on building a scalable real time video analysis pipeline in Rust using:
- GStreamer - a real time video processing framework
- Pravega - a streaming data storage system
- The challenges involved in creating a scalable video processing pipeline
- How and why Pravega, GStreamer, and Rust fit together
- How to take advantage of the language features of Rust to manage complexity
- Patterns we learned during development
Tom Kaitchuck
Dell
Tom Kaitchuck is one of the original developers who started the Pravega project and is currently a core contributor. Tom has been using Rust since 2015 and is the author of the popular aHash crate. He holds a degree in Computer Science from Valparaiso University. Currently working at Dell, Tom previously held software engineering positions at Google and Amazon. His interests include: Concurrency models, Consistency algorithms, Distributed system design, and Effects of language design.