Serverless Audio Transcriber with Rust and Python Using Pulumi | glowing telegram - Episode 134

Channel:
Subscribers:
542
Published on ● Video Link: https://www.youtube.com/watch?v=1bHctcPjdP4



Duration: 0:00
86 views
2


In this video, I walk through the process of making our Rust and TypeScript web app, Glowing Telegram, serverless using Pulumi and Python. We’re specifically focusing on developing an audio transcriber that utilizes AWS services. This involves experimenting with different instance sizes in AWS to optimize performance for speech-to-text tasks.

First, I dive into the development of our batch job setup, which aims to seamlessly transcribe audio files. By leveraging AWS configurations, speech language settings, and an S3 client, we ensure that our application can handle various input options. I also discuss the use of the Whisper speech recognition system, exploring different models and the potential for optimizing our processes.

Throughout the video, I address the practical implementation of handling output and data integration with DynamoDB. This includes how our program writes transcribed data into the database while considering considerations for data consistency and order of execution.

Additionally, I delve into the technicalities of deploying this setup with Pulumi. We discuss Docker image usage, the configuration of Pulumi components, and how they interact with AWS services, providing insights into potential abstraction for reusable infrastructure.

Tune in to learn more about integrating Rust with serverless technologies using Pulumi!

🔗 Check out my Twitch channel for more streams: https://www.twitch.tv/saebyn
GitHub: https://github.com/saebyn/glowing-telegram
Discord: https://discord.gg/N7xfy7PyHs




Other Videos By saebynVODs


2024-11-29Troubleshooting typescript/react video editor components | glowing telegram - Episode 144
2024-11-28Building a new Video Editor Frontend in TypeScript | glowing telegram - Episode 143
2024-11-27More deploying AWS Step Functions | glowing telegram - Episode 142
2024-11-26More Lambda Functions and Step Functions with AWS and Pulumi | glowing telegram - Episode 141
2024-11-25Streamlining AWS Lambda with Rust and Python | glowing telegram - Episode 140
2024-11-23Testing our Docker image + exploring EC2 spot instance cost | glowing telegram - Episode 139
2024-11-21Streamlining Audio Model Downloads and Video Processing with AWS | glowing telegram - Episode 138
2024-11-19Troubleshooting AWS Batch Job Setup with Whisper AI | glowing telegram - Episode 137
2024-11-18GPU batch job queue with AWS spot instances | glowing telegram - Episode 136
2024-11-16Making Our Rust/TS Web App Serverless with Pulumi and Python | glowing telegram - Episode 135
2024-11-14Serverless Audio Transcriber with Rust and Python Using Pulumi | glowing telegram - Episode 134
2024-11-12Optimizing ECS with Pulumi and Python | "glowing telegram" - Episode 133
2024-11-10"glowing telegram" serverless with pulumi and python - Episode 132
2024-10-23Optimizing AWS Batch Jobs for Efficient Video Ingestion | glowing-telegram project - Episode 131
2024-10-20Bringing in Pulumi and AWS properly, part 3 | glowing-telegram project - Episode 130
2024-10-18Bringing in Pulumi and AWS properly, part 2 | glowing-telegram project - Episode 129
2024-10-16Bringing in Pulumi and AWS properly, part 1 | glowing-telegram project - Episode 128
2024-10-10Wrapping up Pulumi experiments with AWS | glowing-telegram project - Episode 127
2024-10-08Transforming Rust Web App into a Serverless AWS Solution | glowing-telegram project - Episode 126
2024-10-06Deploying Serverless Rust with Pulumi | glowing-telegram project - Episode 125
2024-10-04Exploring Pulumi and LocalStack for AWS Development - glowing telegram project - Episode 124