Optimizing Docker Builds & Debugging AWS Lambda for Glowing Telegram | Ep. 194
2In this video, I focus on improving backend efficiency and debugging crucial issues for the Glowing Telegram project. Specifically, I dive into optimizing Docker builds and tackling AWS Lambda functionality challenges.
The first part of the stream delves into refining Docker builds using multi-stage Docker files. I explore improving Rust build times by targeting individual binaries, reducing unnecessary overhead and paving the way for consolidating multiple Docker files without sacrificing flexibility for each service. These changes aim to improve the development workflow and deployment process.
Next, I switch gears to debugging AWS Lambda functions. These functions are responsible for processing video metadata and generating JSON playlists. I troubleshoot issues like missing transcoded data, DynamoDB query errors, and CloudFront caching behaviors, which were affecting playlist generation. Through detailed investigation, I pinpoint the problems, implement fixes, and test the integrations to ensure everything runs smoothly.
Additionally, I discuss design strategies for backend architecture using AWS services. Topics include:
Handling API rate limits.
Automating YouTube uploads via AWS Batch and Fargate.
Designing a scalable and persistent queue system using DynamoDB.
Future improvements, such as using AWS step functions for better orchestration of video uploads.
This session not only addresses immediate problems but also sets the stage for automating YouTube uploads with robust, scalable infrastructure.
Finally, I share insights into future plans for the Glowing Telegram project, integrating concepts like a unified Docker strategy and enhanced debugging workflows. If you're interested in backend development, cloud computing, and streamlining CI/CD pipelines, you'll find this stream both informative and hands-on.
For more livestreams where I tackle development challenges and improve workflows, be sure to check out the links below:
🔗 Check out my Twitch channel for more streams: https://www.twitch.tv/saebyn
GitHub: https://github.com/saebyn
Discord: https://discord.gg/N7xfy7PyHs