phantomjs VS aws-cloudformation-coverage-roadmap

The points you make aren't unreasonable.

It is necessary to establish clear boundaries of what can and can be provided by the maintainers. If not done at an earlier stage of the project, the support burden becomes too much to bear at which point the maintainer transfers ownership, and the project suffers from catastrophic consequences such as the xz backdoor we're talking about here, or other cases where the project mostly stalls and serves as an ego-boosting platform for the new maintainer, as was the case with PhantomJS[6].

This can also happen in your life, where a "friend" sees that you possess a certain skill, and then gradually tries to push an inordinate amount of their personal work related to this field onto you.

Personally, I think it's best to use an approach with extremely clear communication as to what the maintainer can and cannot provide. This can be seen, for example, in yt-dlp[1], where the consumer is clearly informed upfront that not providing detailed information as requested will lead them to block said consumer; or sqlite where their position regarding contributed patches[2] and support[3] is similarly made clear.

Having a shouty BDFL like Torvalds can also help improve code quality[4] and questionable contributions[5], though it is better that the shouty BDFL makes statements that are professional and do not show as much aggression; so for example, "Mauro, shut the fuck up"[7] would become "Mauro, your response is completely unbecoming for a Linux kernel maintainer, and is not in line with the promise of not breaking userspace."

[1] https://github.com/yt-dlp/yt-dlp/issues/new?assignees=&label...

[2] https://www.sqlite.org/copyright.html

[3] https://www.sqlite.org/support.html

[4] https://www.theregister.com/2024/01/29/linux_6_8_rc2/

[5] https://cse.umn.edu/cs/linux-incident

[6] https://github.com/ariya/phantomjs/issues/14541

[7] https://lkml.org/lkml/2012/12/23/75

Last commit was in 2019, and it uses PhantomJS to query a page, which shutdown development in 2018

https://github.com/ariya/phantomjs/issues/15344

Install Phantomjs and see if that improves things.

Automated Browser Detection. Cloudflare queries the browser for properties that only exist in automated web browser environments. For example, the existence of the window.document.__selenium_unwrapped or window.callPhantom property indicates the usage of Selenium and PhantomJS, respectively. For obvious reasons, you're getting blocked if this is detected.

I know there is https://phantomjs.org/ but is there something else people use these days?

The issue is some websites curl works fine to get all the rendered html, but some you don't get any content without a javascript engine.

Despite the popularity of Puppeteer and Headless Chrome, my team of threat researchers and I wondered, to what extent PhantomJS was still being used by bot developers. In this post, we share how we identified traffic associated with PhantomJS, the types of attacks performed, and its use in comparison to Puppeteer Extra Stealth.

I've been working on how to make a SPA crawlable by google based on google's instructions. Even though there are quite a few general explanations I couldn't find anywhere a more thorough step-by-step tutorial with actual examples. After having finished this I would like to share my solution so that others may also make use of it and possibly improve it further. I am using MVC with Webapi controllers, and Phantomjs on the server side, and Durandal on the client side with push-state enabled; I also use Breezejs for client-server data interaction, all of which I strongly recommend, but I'll try to give a general enough explanation that will also help people using other platforms.

Regarding youtube-dl, I remember someone mentioning they needed an external helper program called phantomjs to download from some sites. I really wouldn't recommend using phantomjs as it hasn't been updated since 2018 and I see it has known vulnerabilities too.

For this project we will need some extra binaries ( PhantomJS in particular) to take the screenshots. We’ll also use ImageMagick, but that is provided by AWS by default in the Lambda image, so we don’t package it separately.

ERROR: [iq.com] apvtge3eng: PhantomJS executable not found in PATH, download it from http://phantomjs.org

Given AWS CloudFormation is AWS's native language and service for infrastructure as code, you will likely find more official quickstarts provided by AWS in the language. In addition to this, AWS Support will probably be more capable of assisting you with issues when you need help. AWS Support is essential for large enterprises, particularly those new to the cloud or slow to adopt. These types of organizations may have a skill gap within their organization regarding their cloud skill set, and in turn, they are more likely to use AWS Enterprise Support.

Today, I will show you how to build Amazon Location Service, which allows you to build location-based applications within your AWS environment using AWS Cloud Development Kit (AWS CDK) and AWS CloudFormation. I will also show examples of the recently popular CDK Migrate and AWS CloudFormation IaC generator.

AWS CloudFormation: Speed up cloud provisioning with infrastructure as code.

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.

Cloudformation (IaC) does not need to be introduced to anyone, plus if you read the previous blogpost, the terraform provider (CC) we used is based on Cloudformation. Moreover, you will notice a lot of similarities, after all, we are implementing the same scenario, but with a different tool.

AWS Application Composer launched in the AWS Console at re:Invent one year ago, and this re:Invent it expanded to the VS Code IDE as part of the AWS Toolkit - but that’s not the only exciting part. When using App Composer in the IDE, users also get access to a generative AI partner that will help them write infrastructure as code (IaC) for all 1100+ AWS CloudFormation resources that Application Composer now supports.

CloudFormation

Of course, best practices today dictate that we should be deploying our infrastructure as code, using tools such as CloudFormation or Terraform.

If you're provisioning the above resources for the first time, you'll have to either configure Terraform to use specific AWS keys as you won't have OIDC connection yet. In my case, I chose to have those pre-requesites resources in a CloudFormation template and deploy them with StackSets.