Let’s start with some context so things make sense. I’ve created a vue project back in 2018. It is the largest project I work on regularly and we’ve done a decent job to keep everything up to date in it. This project is built by Azure DevOps hosted servers and recently the builds started failing because of node-sass. Let’s talk about the problem, and how we can fix it. First, you should know that node-sass is no longer recommended....
SQL Server system-versioned temporal tables provide a powerful way to keep data history for a table. It provides a way to query data as of a point in time, or the changes between a time period. Check the docs for more detail. While history tables are great for many scenarios based off history data. When you need to calculate delta changes it gets a little more complicated as I am sure Temporal Tables were not designed for that purpose....
So, the first obvious question is: what’s wrong with Jekyll? Overall, Jekyll is fine. I just never liked how hard it is to install it on Windows. For the most part, I made most of my blog changes blindly. That includes structure, style, and blog posts. The next big question is: why Hugo? Well… It is super easy to install for one. But it is also popular, easy to use, and works similarly to Jekyll....
The expectations surrounding app releases have changed greatly in the last several years. From months-long release cycles to release many times in a day. In part, this is made possible by smaller applications powered by micro services and some of the typical technologies employed with these applications. In particular, Containers bring a lot of new capabilities including easier deployments via orchestration tools such as Kubernetes. As a developer and team lead, one of the best added benefits of containers is how easy it is to spin up an environment for each change....
On multiple occasions, I found myself trying to check if a query for data read is safe to execute or not. This is typically useful when the query is saved outside of your code, and you cannot restrict the access level of the user executing it. The following regex, while not exhausting by any means, will detect most query patterns typically used to change data. Note that inserts, updates, deletes, and merges are permitted on temporary tables (e....