Building Dynamic Video Projects with Rust & AWS - Stream to Episode Workflow - Episode 186
9In this video, I dive into developing features for the Glowing-Telegram project, where I'm integrating Rust, AWS, and other tools to enhance the process of transforming live streams into polished episodes. The session primarily focuses on establishing efficient workflows to manage video data through Rust APIs, DynamoDB, and AWS S3. Along the way, I discuss schema design, the configuration of project records, and optimizing the data flow for video editing and episode creation. Here are the key highlights:
Creating and managing project records in DynamoDB to represent video projects.
Integrating and refining Rust structs to process and store video metadata.
Leveraging tools like serde_dynamo and the AWS SDK for efficient DynamoDB interactions.
Streamlining the cut list creation process for video segments.
Using tools like Figment for configuration management and Quicktype for struct generation in Rust and TypeScript.
Additionally, I share insights on how different pieces of the architecture fit together, including the use of S3 for video storage and DynamoDB for metadata organization. Whether you're interested in Rust programming, AWS, or video processing pipelines, this video provides a detailed look into a real-world implementation.
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