Pug VS Google Cloud Storage

If you have a bit of Nodejs SSR background, you would already be accustomed to templating libraries like Pug, Handlebars, EJS, etc. If you’re from a PHP background you would be familiar with the Blade templating engine. These templating libraries basically help you render dynamic data from the backend on the frontend. They also help you generate markup with loops based on conditions. - Source: dev.to / about 1 month ago

The right way to start is with HTML and motherfucking web site. https://motherfuckingwebsite.com/ Really. At this point this is what web sites should strive to be. Pug is a great way to write HTML by hand. I integrated it with GitHub Pages so pug sources get compiled to HTML and published when commits are pushed. Great experience. https://pugjs.org/ - Source: Hacker News / 9 months ago

To illustrate the process of migrating from Express to Fastify, we have prepared a demo application. This application utilizes Express, Mongoose, and Pug to create a URL Shortener app as follows:. - Source: dev.to / 10 months ago

Disclaimer: The markup of CodePen examples is still in Pug. However, you can view it compiled as HTML by opening the code tab menu and selecting "View compiled HTML" (But, by the way, if you are not already familiar with Pug Templates, I strongly advise you to check them out). Source: 11 months ago

I'm sorry about your doggie, but you have the wrong subreddit. The Pug template engine https://pugjs.org/ is discussed here exclusively. Dogs are not discussed here. Source: about 1 year ago

Cloud Storage: blog storage for static assets and media files. - Source: dev.to / 4 months ago

Preevy includes built-in support for saving profiles on AWS S3 and Google Cloud Storage. You can also store the profile on the local filesystem and copy it manually before running Preevy - we won't show this method here. - Source: dev.to / 5 months ago

Google Cloud Storage{:target="_blank"} is a globally distributed object storage service offered by Google Cloud Platform. They provide trustworthy and scalable databases for storing large amounts of blob data. They also provide a way to optimize cost and performance with different storage classes and pricing options. - Source: dev.to / 10 months ago

Google Cloud Storage - https://cloud.google.com/storage/. - Source: dev.to / 10 months ago

Also, in terms of packing a pre-trained model you will probably want to puts weights, biases etc into S3 or similar object storage (https://cloud.google.com/storage etc) and load it on application start. Source: 11 months ago