More deploying AWS Step Functions | glowing telegram - Episode 142
2In this video, I dive into deploying AWS Step Functions in our ongoing Glowing-Telegram project. You'll see how I troubleshoot common deployment issues, handle parameter passing without hard coding, and leverage AWS resources like Lambda and DynamoDB.
I explore the intricacies of publishing Lambda versions and discuss best practices for managing different versions in coordination with step functions. As I aim to get the step function to operate smoothly, I demonstrate how to test step functions with sample inputs in AWS and explain various AWS concepts like state transformation and the importance of using reserve words correctly in DynamoDB.
As we progress, you'll see how I address errors such as reserved keywords causing database issues and how I tweak API calls to work around these. Additionally, I discuss the broader strategy of transitioning workflows and task handling in our Glowing-Telegram project by utilizing AWS services for efficiency.
The journey includes setting up testing environments with Docker images and examining AWS logs to ensure our implementations are running as expected. I also share thoughts on how we integrate these elements into our broader task execution approach.
Join me in this coding session to explore the detailed technical decisions and adjustments that help bring complex integrations to life in a cloud environment!
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