act VS lighthouse

To speed up your development cycle, install and use the act tool to test-run your action directly in your development environment. This tool lets you invoke a GitHub workflow right on your local machine and will save you the round-trips of pushing each change to GitHub to see if it works.

When it comes to the alternatives to tmate, there is another great debugging tool that you could check out. It is called act and it allows you to run GitHub Actions code on your local machine making debugging even easier. It has its own limitations and some learning curve but overall it is another tool you should use if you can’t fix the CI bugs by connecting directly into the running action with the tmate.

Link: https://github.com/nektos/act

Could you upload your build of GitHub's runner image to Docker Hub?

This would be quite useful for users of other GitHub Actions clones like act [0].

[0]: https://github.com/nektos/act

> These kinds of commit messages are typically an indicator of a broken process where somebody needs to commit to see something happen, like a deployment or build process, and aren't able to assert that stuff works locally.

This is one of my biggest pet peeves with services like github actions. Something running locally like "act" [1] isn't sufficient because it doesn't have everything github has and is extra friction anyway to get everyone to use it for testing.

[1] https://github.com/nektos/act

View on GitHub

If you use Github actions, act is incredibly useful. It can be used to test your GH actions, but also serves as an interface for running tasks locally.

That's something that often is difficult or basically impossible. Except for maybe GitHub actions through Act (https://github.com/nektos/act). I'd still lean to something in the yaml sphere if it eventually would be used in deployment pipelines and such. For example a solution incorporating ansible.

It also seems to me that the argument you make is mostly focused on the building step? Earthly certainly seems focused on that aspect.

I feel I'm being trolled, but I'll bite and accept the resulting downvotes

I don't think treating every mention of act as an opportunity for airing of personal grievances is helpful in a discussion when there's already ample reports of people's concrete issues with it, had one looked at the 800 issues in its repo https://github.com/nektos/act/issues?q=is%3Aissue or the 239 from gitea's for https://gitea.com/gitea/act_runner/issues or whatever is going on with Forgejo's fork https://code.forgejo.org/forgejo/act .

But, as for me specifically, there are two and a half answers: I wanted to run VSCodium's build locally, which act for sure puked about. Then, while trying to troubleshoot that, I thought I'd try something simpler and have it run the lint job from act's own repo <https://github.com/nektos/act/blob/1252e551b8672b1e16dc8835d...> to rule out "you're holding it wrong" type junk. It died with

  [checks/lint]     Failure - Main actions/setup-go@v3

https://twitter.com/mitsuhiko/status/1720410479141487099 :

> GitHub Actions currently charges $0.16 per minute* for the macOS M1 Runners. That comes out to $84,096 for 1 machine year*

GitHub Runner is written in Go; it fetches tasks from GitHub Actions and posts the results back to the Pull Request that spawned the build.

nektos/act is how Gitea Actions builds GitHub Actions workflow YAML build definition documents. https://github.com/nektos/act

https://twitter.com/MatthewCroughan/status/17200423527675700... :

> This is the macOS Ventura installer running in 30 VMs, in 30 #nix derivations at once. It gets the installer from Apple, automates the installation using Tesseract OCR and TCL Expect scripts. This is to test the repeatability. A single function call `makeDarwinImage`.

With a Multi-Stage Dockerfile/Containerfild, you can have a dev environment like xcode or gcc+make in the first stage that builds the package, and then the second stage the package is installed and tested, and then the package is signed and published to a package repo / app store / OCI container image repository.

SLSA now specifies builders for signing things correctly in CI builds with keys in RAM on the build workers.

"Build your own SLSA 3+ provenance builder on GitHub Actions" https://slsa.dev/blog/2023/08/bring-your-own-builder-github

Google Core Vitals now represent the most important metrics to focus on when it comes to technical SEO. Google Core Vitals are a set of standardized metrics that Google uses to evaluate the user experience offered by a web page and assign it a technical SEO grade. Several tools exist to measure and report technical SEO performance, but the most reliable is Google Lighthouse.

- referred to https://github.com/GoogleChrome/lighthouse/issues/6512 but didnt see network.disable error - added staticdistdir as per https://github.com/GoogleChrome/lighthouse-ci/blob/main/docs/configuration.md,

There has been discussion about adding a visual indicator to make the mode more obvious, but it has not made it into Chrome devtools!

I haven't tried it, but you might be able to control throttling by using lighthouse to get performance data: https://github.com/GoogleChrome/lighthouse/blob/main/docs/throttling.md

When we implemented the MVP of the fintech app, we had a quite complicated form. At that time, I was still young and inexperienced. And eventually, we realized that our project was slowing down. We had to spend additional hours figuring out the reason. We had many unnecessary re-renders because we ignored basic rules related to props in React. I wanted to do everything possible to avoid such situations in the future. So, I added to the project linters like this and an additional starting configuration to package.json to run why-did-you-render. In short, this plugin issues a warning if something is re-rendered unnecessarily and suggests how to avoid it. Also, we included running Lighthouse in headless mode. Some people say that premature optimizations are bad, but for me, it's a principle: do it right from the start.

You can run a Lighthouse audit in two ways: either on the command line or in a browser. If you want to run audits on the command line, you will first need to install the Lighthouse command:

i wanted to run the lighthouse(lh) docker container on multiple EC2 instances in different regions. I'm thinking of triggering the EC2 instance with the lambda function once the lh container has audited the URL the results will be sent "SUB rest API" which will further update the UI

There's a link to what they mean by mobile network there (https://github.com/GoogleChrome/lighthouse/blob/main/docs/throttling.md) and it says:

Here's the non-psuedo code equivalent that can leverage CompressionStream rather than using a browserified-gzip-library: https://github.com/GoogleChrome/lighthouse/blob/437eb4d757c5...

We use it in Lighthouse for the exact same purpose, a URL #hash full of state. We found that modern browsers support 10mb of data in the hash. https://github.com/GoogleChrome/lighthouse/pull/12509#discus...

Lighthouse: This is an open-source tool developed by Google that allows you to audit the performance of your website. You can use Lighthouse to get a detailed report on your website's Core Web Vitals, as well as other performance metrics. You can run Lighthouse in Chrome DevTools or as a command-line tool.