sql-server-samples VS PostgreSQL

Download .bak file from here

I will be using Microsoft SQL Server to do the demo in this article, while also using some data readily available online - AdventureWorksDW2014

All the Microsoft AzSQL PG canned samples are here. https://github.com/microsoft/sql-server-samples/tree/master/samples

Hello Guys, Yesterday I spend whole day configuring sql server image (mcr.microsoft.com/mssql/server:2022-latest) to be automatically replicated in k8s. That was not successful (not sure if I was even close to completion). I want to deploy manifests of statefulset of mssql server where mssql-0 is primary readwrite, and others are secondary readonly. I know some basics of sql server as developer, but I am not a dba, so not good in types of replication topics of sql server such as Mirroring, HADR, etc. I just want to deploy this stack with one command (all manifests with configuration and maybe some postStart hooks). I haven't found any useful link to help me with that(all of them showing the "easiest way" with manual configuration, but I don't want to use manual configuration). I used some configuration from here https://github.com/microsoft/sql-server-samples/tree/master/samples/containers/replication But the problem that I want to automate this fully. And this sample is not working properly and uses docker compose insted of k8s Any ideas or if you maybe have manifests already created for mssql replication.

The Worldwide Database Sample is available for download from the Microsoft website, and it includes documentation and sample queries to help users get started. It is a useful resource for anyone looking to gain practical experience with SQL Server and to explore the capabilities of the platform.

The Microsoft sample databases are available here (I use these extensively for demos)

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).