LaunchFlow – Automate Your GCP / AWS Infrastructure with Python
Hey everyone, we just released a new version of our Infrastructure as Code Python SDK that now runs entirely on your machine - no account required. LaunchFlow extends OpenTofu to provide features like multi-environment support [1], autoconfigured infrastructure clients [2], and API release management [3]. Our goal is to provide a Python-native infrastructure toolkit that handles everything from automating your infrastructure to using it in your application code. You can use our library of preconfigured OpenTofu modules to add GCP / AWS infrastructure to your app with just a few lines of…
What it does
In the maker’s words, at launch
Hey everyone, we just released a new version of our Infrastructure as Code Python SDK that now runs entirely on your machine - no account required. LaunchFlow extends OpenTofu to provide features like multi-environment support [1], autoconfigured infrastructure clients [2], and API release management [3]. Our goal is to provide a Python-native infrastructure toolkit that handles everything from automating your infrastructure to using it in your application code. You can use our library of preconfigured OpenTofu modules to add GCP / AWS infrastructure to your app with just a few lines of Python code. Includes integrations with FastAPI, Flask, and Django. You can follow the Get Started Guide (https://docs.launchflow.com/docs/get-started) to launch an example FastAPI app to GCP / AWS in minutes. [1] https://docs.launchflow.com/docs/concepts/environments [2] https://docs.launchflow.com/docs/concepts/resources [3] https://docs.launchflow.com/docs/concepts/services
Does the same job
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Hey HN, half a year ago we were building a feature where our users could trigger long-running jobs with the following requirements: (i) the job is provisioned by the user action (e.g., clicking a button in the UI), (ii) the job can be canceled by the user, (iii) the progress of the job can be inspected while the job is running, (iv) hardware for the job is provisioned only when needed (the job may require expensive hardware and isn't called that frequently). Because we couldn't find any existing ways of achieving this we decided to implement one for Python. Currently, it uses an AWS ECS…
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