toolkit VS Pulumi

Different libraries (like actions/toolkit and microsoft/azure-pipelines-task-lib) with more accessible and easy-to-use APIs are available out-of-box

I used the libraries from actions/toolkit to create my action. It's more comfortable than when I did it with Docker. I looked at all the libraries, and most of all: actions/core, actions/exec and actions/github.

The Action is built using TypeScript and Node.js, popular choices for GitHub Actions due to their excellent support for asynchronous operations, a crucial requirement considering the multiple I/O operations involved. In the initial setup, I used the actions/toolkit package which provides useful utilities to streamline the creation of GitHub Actions. I picked @actions/core for basic functionalities such as inputs, outputs, and error handling, @actions/github to interact with GitHub's REST API, and @actions/exec to execute shell commands.

The package @actions/github provides a hydrated Octokit.js client. Octokit.js is the SDK of GitHub and contains several subpackages like @octokit/rest and @octokit/graphql to interact with the REST or GraphQL API.

The GitHub Action was implemented with TypeScript using the GitHub Actions Toolkit and the OpenAI Node.js Library. The Action is activated on new comments on issues and pull requests if they mention @AdaGPT. The relevant issue number is determined from the event payload. Then all existing comments for this issue are read. If the issue is a pull request, the git diff is also read.

Creating actions can be an overwhelming task, so to help you on your journey, here are two indispensable resources that can assist you in getting started; Actions Toolkit and Javascript action template. Still, this article will dive into how to create an action.

Please support something like "allow-failure" for a given job

More than 2 years of ignoring requests to add an important feature (allow-failure) to Github Actions (ref, ref. When not ignoring, completely misunderstanding the feature as if those building Github Actions are unfamiliar with core features of competing platforms.

If you are following this blog series, you should already know the benefits of using Terraform to define and deploy your AWS resources and configuration. Other IaC solutions such as AWS CloudFormation, AWS CDK, and Pulumi work the same way but differs in the programming or configuration language.

Infrastructure as Code (IaC) is an important part of any true hosting operation in the public cloud. Each of these platforms has their own IaC solution, e.g. AWS CloudFormation. But they also support popular open-source IaC tools like Pulumi or Terraform. A category of tools that also needs to be discussed is API gateways and other app-specific load balancers. There are applications for internal consumption, which can be called microservices if you have a lot of them. And often microservices use advanced networking options such as a service mesh instead of just the native private network offered by a VPC.

funny, to me systemd == no docker, no containers, just a VM.

it's my goto way to keep my programming running and have it be restarted if the vm reboots. I use VMs like "pods". I deploy code directly to the VM and run it there along with other programs. I scale up an scale down with: https://www.pulumi.com/

Pulumi — Modern infrastructure as a code platform that allows you to use familiar programming languages and tools to build, deploy, and manage cloud infrastructure.

A move like this may have an impact in other open source projects. Take Pulumi, for instance, people might avoid choosing it now that the Linux Foundation have its own IaC tool, and for newer, smaller projects it will probably be impossible to compete with a project under the Linux name.

Another alternative to writing an operator would be to rely on kustomize or https://www.pulumi.com/.

Pulumi

Would it make sense to say Dagger is to Pulumi [1], as Terraform is to Togomak?

[1]: https://www.pulumi.com/

Infrastructure as Code (IaC): Define your infrastructure using code (IaC) to automate the provisioning of resources such as virtual machines, load balancers, and databases. Tools like Terraform, Pulumi, and AWS CloudFormation can help.