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Puppeteer vs Terraform: What are the differences?
Programming Language: Puppeteer is a Node.js library that provides a high-level API over the Chromium DevTools Protocol, which allows for automation of Chrome and Chromium browsers. Terraform, on the other hand, is written in the HashiCorp Configuration Language (HCL) and uses a declarative syntax to define infrastructure.
Use Case: Puppeteer is primarily used for web scraping, automated UI testing, and generating screenshots of web pages. Terraform, on the other hand, is designed for managing infrastructure as code, allowing users to define and provision resources across various cloud providers in a consistent and repeatable manner.
Scope: Puppeteer focuses on browser automation tasks, such as interacting with web pages, filling out forms, and navigating through websites. Terraform, on the other hand, is more focused on infrastructure provisioning and configuration management, allowing users to define the desired state of their infrastructure and letting Terraform handle the rest.
Execution Environment: Puppeteer requires a running instance of a Chromium or Chrome browser, which can be controlled programmatically through the Puppeteer API. Terraform operates independent of any specific runtime environment, allowing users to provision and manage resources on various cloud platforms without the need for a specific browser or runtime.
Community Support: Puppeteer has a strong developer community that contributes to the library with updates, plugins, and support. Terraform, backed by HashiCorp, also has a large community that actively maintains and updates the tool, providing support through forums, documentation, and resources.
In Summary, Puppeteer is focused on browser automation and web scraping, while Terraform is geared towards infrastructure provisioning and management using a declarative syntax.
I am using Node 12 for server scripting and have a function to generate PDF and send it to a browser. Currently, we are using PhantomJS to generate a PDF. Some web post shows that we can achieve PDF generation using Puppeteer. I was a bit confused. Should we move to puppeteerJS? Which one is better with NodeJS for generating PDF?
You better go with puppeteer. It is basically chrome automation tool, written in nodejs. So what you get is PDF, generated by chrome itself. I guess there is hardly better PDF generation tool for the web. Phantomjs is already more or less outdated as technology. It uses some old webkit port that's quite behind in terms of standards and features. It can be replaced with puppeteer for every single task.
I suggest puppeteer to go for. It is simple and easy to set up. Only limitaiton is it can be used only for chrome browser and currently they are looking into expanding into FF. The next thing is Playwright which is just a scale up of Puppeteer. It supports cross browsers.
Because Pulumi uses real programming languages, you can actually write abstractions for your infrastructure code, which is incredibly empowering. You still 'describe' your desired state, but by having a programming language at your fingers, you can factor out patterns, and package it up for easier consumption.
We use Terraform to manage AWS cloud environment for the project. It is pretty complex, largely static, security-focused, and constantly evolving.
Terraform provides descriptive (declarative) way of defining the target configuration, where it can work out the dependencies between configuration elements and apply differences without re-provisioning the entire cloud stack.
AdvantagesTerraform is vendor-neutral in a way that it is using a common configuration language (HCL) with plugins (providers) for multiple cloud and service providers.
Terraform keeps track of the previous state of the deployment and applies incremental changes, resulting in faster deployment times.
Terraform allows us to share reusable modules between projects. We have built an impressive library of modules internally, which makes it very easy to assemble a new project from pre-fabricated building blocks.
DisadvantagesSoftware is imperfect, and Terraform is no exception. Occasionally we hit annoying bugs that we have to work around. The interaction with any underlying APIs is encapsulated inside 3rd party Terraform providers, and any bug fixes or new features require a provider release. Some providers have very poor coverage of the underlying APIs.
Terraform is not great for managing highly dynamic parts of cloud environments. That part is better delegated to other tools or scripts.
Terraform state may go out of sync with the target environment or with the source configuration, which often results in painful reconciliation.
I personally am not a huge fan of vendor lock in for multiple reasons:
- I've seen cost saving moves to the cloud end up costing a fortune and trapping companies due to over utilization of cloud specific features.
- I've seen S3 failures nearly take down half the internet.
- I've seen companies get stuck in the cloud because they aren't built cloud agnostic.
I choose to use terraform for my cloud provisioning for these reasons:
- It's cloud agnostic so I can use it no matter where I am.
- It isn't difficult to use and uses a relatively easy to read language.
- It tests infrastructure before running it, and enables me to see and keep changes up to date.
- It runs from the same CLI I do most of my CM work from.
Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.
Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!
Check Out My Architecture: CLICK ME
Check out the GitHub repo attached
Pros of Puppeteer
- Very well documented10
- Scriptable web browser10
- Promise based6
Pros of Terraform
- Infrastructure as code121
- Declarative syntax73
- Planning45
- Simple28
- Parallelism24
- Well-documented8
- Cloud agnostic8
- It's like coding your infrastructure in simple English6
- Immutable infrastructure6
- Platform agnostic5
- Extendable4
- Automation4
- Automates infrastructure deployments4
- Portability4
- Lightweight2
- Scales to hundreds of hosts2
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Cons of Puppeteer
- Chrome only10
Cons of Terraform
- Doesn't have full support to GKE1