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In the previous posts about Docker, here, here and here, we’ve looked at what Docker is, how to set up a basic container and how to set up a stack of containers using docker-compose. One thing we haven’t talked about is the fact that most projects use some form of persistent data store, and the most common store, at least in my world, is a relational database of some sort. So this time, I want to cover something that might seem slightly odd…setting up an MS SQL Server…on Linux…in Docker.

Yes, you heard me right… I’m going to show you how to set up an MS SQL Server instance in a Linux-based Docker container. Something that wouldn’t have been possible, in any way, not too long ago, but Microsoft “recently” released a version of MS SQL Server that runs on Linux, which is really cool. And running it in Docker just makes sense!

Running MS SQL Server in a Docker container

Starting a SQL Server instance in a Docker isn’t that hard, but there are a couple of things that need to be set up for it to work.

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This post was supposed to be an introduction to Azure WebJobs, but it took a weird turn somewhere and became a guide to building a simple PicPaste replacement using just a wimple Azure Web App and a WebJob.

As such, it might not be a really useful app, but it does show how simple it is to build quite powerful things using Azure.

So, what is the goal? Well, the goal is to build a website that you can upload images to, and then get a simple Url to use when sharing the image. This is not complicated, but as I want to resize the image, and add a little overlay to it as well before giving the user the Url, I might run into performance issues if it becomes popular. So, instead I want the web app to upload the image to blob storage, and then have a WebJob process it in the background. Doing it like this, I can limit the number of images that are processed at the time, and use a queue to handle any peaks.

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