Thymeleaf VS PostgreSQL

Thymeleaf is used for serving frontend resources in this service, and it has cache enabled for static resources based on content. Something like the following properties:

xmlns:th="http://www.thymeleaf.org"> th:text="${title}">Product List th:each="product : ${products}" th:text="${product.name}">

*with Thymeleaf and SpringSecurity 6 to build a regular web application and it uses Authgear to **add authentication with the login page

Finally, we will create a HomeController to make the test effect more visually significant by controlling the content displayed on the page. We will display different information according to the role and use the thymeleaf template engine to render.

Finally, we create the Controller class and use the thymeleaf template engine to build the home page information. Different permission information sees different results in the home page list.

Configure all requests here to require authentication and authorization, provide Form form authentication methods, and customize the login template through thymeleaf. The code here is not within the scope of this article, and the following will not Show specific details.

Then let's define the html page, here we use the thymeleaf template engine:

You can also use SSR (Server Sided Rendering) to generate the front end before it is returned, reducing the need for JS. Thymeleaf is an example of that.

You can use Java for Backend and Frontend. A relative new kid on the block for Frontend is Qute. The general keyword you are searching for is Java Templating Engine. Specific examples would be Thymeleaf or FreeMarker. There are some framework, which offer a lot more than templating like Vaadin or Wicket. Some are just specifications like Jakarta Faces with some of their implementations MyFaces or Mojarra.

Every time I buy a new computer, the first thing I install is the servers for MySql and Postgres, the two most common databases. This way, I can start the databases with a simple command like this:

Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance

PostgreSQL

The LMS Moodle Operator serves as a meta-operator, orchestrating the deployment and management of Moodle instances in Kubernetes. It handles the entire stack required to run Moodle, including components like Postgres, Keydb, NFS-Ganesha, and Moodle itself. Each of these components has its own Kubernetes Operator, ensuring seamless integration and management.

Another key feature of txtai is being able to quickly move from prototyping to production. This article will demonstrate how txtai can integrate with Postgres, a powerful, production-ready and open source object-relational database system. After txtai persists content to Postgres, we'll show it can be directly queried with SQL from any Postgres client

SQL (Structured Query Language) databases are relational databases. They organize data into tables with rows and columns, and they use SQL for querying and managing data. Examples include MySQL, PostgreSQL, and SQLite.

Node.js, MySQL and PostgreSQL servers installed on your machine

Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).