When working with Azure templates for the first time, there's always a risk of misconfiguring a setting. All fine when testing, until you realise you have been charged an unexpected amount on your credit card. In this post, I provide an example of this in practice when working with Stream Analytic Job resources.
It's essential to understand the precise behaviour your Azure templates will have when deployed, to avoid any unexpected issues or even data loss that could occur. This week's post will explore an example of why this is so important, involving Azure App Service application settings.
When it comes to handling large datasets in a formal, structured and highly scalable manner, nothing beats SQL Server. Having worked with the product for almost six years, I always look forward to the opportunity of putting together some SQL queries or to build out a new database. I think of it as a nice [...]
If you are looking for an easy-to-use and highly expandable mail relay service, SendGrid represents the most developer-friendly solution out in the market today. What's even better is that it's available on Azure, making it the ideal choice if you are developing an existing solution on the Azure stack. The best thing I like about [...]
In the early days of working with Azure Virtual Machines, there was generally some effort involved in provisioning and maintaining storage for your machines, and a number of considerations that would need to be taken into account. Choosing the most appropriate storage type (Blob, File etc.), its location on the Azure network and the type [...]