examples VS laf

It seems that kubernetesx never really got much traction, since I'm also having trouble finding any documentation / examples for it (except in the repo itself). For example, it's not even listed in https://github.com/pulumi/examples

From here, there's a bunch more you might think about next: writing more tests to cover the code we just added, exploring some additional flavors of testing in the docs, or having a look at a few examples. You'll find the full source for this walkthrough up on GitHub as well.

https://github.com/pulumi/examples: Lots of useful references in here. It's organized by [cloud]-[language]-* (so for example, aws-ts for AWS TypeScript) and many have good comments that explain what each piece is doing.

I've found the Python one to work well. I haven't used Go's. You can check out code examples for yourself: https://github.com/pulumi/examples. Pulumi programs are really just instantiations of classes/objects with key/value pairs that mirror the cloud provider's API, so it's not surprising that the code between languages look similar. It's interesting that you're not a fan of TypeScript though given that its language features work incredibly well for describing cloud infrastructure work. I would suggest reevaluating it as a language choice.

If you're already comfortable with Pulumi, and you just want to get up and running, I've set up a GitHub repo (complete with a Deploy with Pulumi button!) that should have all you need to get going. Just click the button, set a few configs (like your RSS server's administrative password, which will be stored as an encrypted Pulumi secret), and follow the prompts. Your shiny new server should be up and running within minutes.

There's a lot more you can do with integrations like this that we didn't cover: add more Lambda function handlers, have EventBridge target other AWS services (Step Functions might be a good one to try next), validate HTTP request bodies (with API Gateway models, to keep bad data from ever reaching EventBridge), and more. Hopefully this gives you sense of what's possible, though. And as promised, you'll find examples that use both versions of API Gateway in our examples repository on GitHub:

provisioners module is an implementation of Terraform provisioner in Pulumi, which allows us to copy files, run commands remotely on the EC2 instance. Refer to documentation.

Pulumi example projects https://github.com/pulumi/examples

LAF (https://github.com/labring/laf) now supports ChatGPT AI generation function, providing a seamless and efficient way for developers to deploy and scale AI applications on Alibaba Cloud Function Compute. With this new feature, developers can easily leverage the power of ChatGPT to generate high-quality text content and integrate it with their own applications.

Using LAF and ChatGPT, developers can quickly build and deploy AI applications, such as chatbots, recommendation systems, and content generators, without having to worry about infrastructure or scaling issues. With the automatic scaling capabilities of Function Compute, developers can focus on building the AI models and let LAF take care of the deployment and scaling aspects.

In addition, LAF provides a secure and reliable environment for AI application development, with features such as access control, logging, and exception handling. This ensures that your AI applications are always available and performing at their best.

Overall, the support of ChatGPT in LAF brings a new level of efficiency and scalability to AI application development, making it easier than ever before to build and deploy high-quality AI applications

So open source is a big trend, and Tencent Cloud developed open source alternatives https://github.com/labring/laf also because of this incident