Building an M3U8 Playlist API with AWS Lambda - Episode 182
3In this video, I dive into enhancing the Glowing-Telegram project by implementing a new API endpoint to generate M3U8 playlist files using AWS Lambda. Here's what we cover step-by-step:
First, I provide a brief recap of the previous session, revisiting FFmpeg configurations and the progress made on video transcoding workflows. We discuss the goals for this session, including retrieving video metadata from DynamoDB and dynamically generating HLS-compatible M3U8 playlist files.
Next, we brainstorm the architecture and weigh the pros and cons of different Lambda approaches, including reusing existing Lambdas, defining functions inline, or creating a Dockerized, standalone Lambda. I decide to create a dedicated Python-based Lambda for this task, leveraging Docker for deployment flexibility.
Throughout the session, I guide you through:
Transcoding video files to 480p HLS format for the preview editor.
Setting up a DynamoDB GSI (Global Secondary Index) for efficient querying of video metadata.
Writing an AWS Lambda handler in Python to integrate metadata and generate playlist files.
Configuring API Gateway routes for RESTful API access.
Key considerations for Lambda structure, including permissions, scalability, and resource allocation.
As always, there are plenty of tangents, bug fixes, and community interactions sprinkled in! We discuss how collaboration and continuous improvement are at the heart of coding projects like this.
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GitHub: https://github.com/saebyn
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If you’re interested in improving your video automation workflows or learning more about serverless architecture, this stream is for you. Be sure to leave your thoughts, questions, or suggestions in the comments below. Happy coding!