As a backend and deep learning developer, I've struggled with managing AWS on my own due to its complexity. Often, while coding in Python, I find it inconvenient to pause and access the AWS console for quick tests or model training. Since AWS offers great affordability and flexibility, I've been developing a library to streamline this process. The idea is simple: you import the library, enter your AWS API keys, and that's all you need to get started. You can run your Python functions directly with minimal configuration, and once the task completes, the instance shuts down automatically, giving it a serverless vibe. Additionally, you can invoke a `dashboard()` function to access a local interface for managing domains and viewing resources. I'd love to hear your thoughts on this idea—is it something that would benefit developers? Any suggestions for improvements would be fantastic!
2 Answers
Have you considered using AWS Lambda instead? It allows for local invocation and AWS SAM is quite straightforward to work with. Additionally, AWS CDK and Terraform serve similar purposes. Waiting for an EC2 instance to boot, run your code, and then shut down doesn't seem efficient. Especially since many use cases are moving away from EC2 due to costs. What about containerized applications? Your idea might not be as versatile as you think.
I see where you're coming from, but the library you're suggesting already exists—it's called Boto3. It seems like it might be more of a wrapper around existing solutions rather than a new approach.
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