Any now and then you have to make some major changes to the ARM templates of the project you’re working from. While this isn’t hard to do, it can become quite a time-intensive if you have to wait for the build/deployment server to pick up the changes and the actual deployment itself.
A faster way to test your changes is by using PowerShell or the Azure CLI to deploy your templates and see what happens.
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You might have noticed I’ve been doing quite a bit of stuff with ARM templates as of late. ARM templates are THE way to go if you want to deploy your Azure environment in a professional and repeatable fashion. Most of the time these templates get deployed in your Release pipeline to the Test, Acceptance or Production environment. Of course, I’ve set this up for all of my professional projects along with my side projects.
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As it happens, I started implementing some new functionality on a project. For this functionality, I needed an Azure Storage Account with a folder (containers) inside. Because it’s a project not maintained by me, I had to do some searching on how to create such a container in the most automated way, because creating containers in storage account isn’t supported. That is, until recently!
In order to create a container inside a storage account, you only have to add a new resource to it.
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There’s a relative new feature available in Azure called Managed Service Identity. What it does is create an identity for a service instance in the Azure AD tenant, which in its turn can be used to access other resources within Azure. This is a great feature, because now you don’t have to maintain and create identities for your applications by yourself anymore. All of this management is handled for you when using a System Assigned Identity.
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I’m in the process of adding an ARM template to an open source project I’m contributing to. All of this was pretty straightforward, until I needed to add some secrets and connection strings to the project.
While it’s totally possible to integrate these secrets in your ARM parameter file or in your continuous deployment pipeline, I wanted to do something a bit more advanced and secure. Of course, Azure Key Vault comes to mind!
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Warming up your web applications and websites is something which we have been doing for quite some time now and will probably be doing for the next couple of years also. This warmup is necessary to ‘spin up’ your services, like the just-in-time compiler, your database context, caches, etc.
I’ve worked in several teams where we had solved the warming up of a web application in different ways. Running smoke-tests, pinging some endpoint on a regular basis, making sure the IIS application recycle timeout is set to infinite and some more creative solutions.
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In the past couple of years the software industry has come a long way in professionalizing the development environment. One of the things which has improved significantly is automating the builds and being able to continuously deploy software.
Having a continuous integration and -deployment environment is the norm nowadays, which means I (and probably you as a reader also) want to have this when creating Azure Functions also!
There are dozens of build servers and deployment tools available, but because Azure Functions are highly likely being deployed in Microsoft Azure, it makes sense to use Visual Studio Team Services with Release Management.
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I’ve just started setting up some continuous deployment for my personal websites. All of the sites are hosted within Azure App Services and the sources are located on either GitHub or BitBucket. By having the source code located on a public accessible repository (be it private or public), it’s rather easy to connect Azure to these locations.
On my day-job I come across a lot of web- and desktop applications which also need continuous integration and deployment steps in order for them to go live.
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In my previous post I’ve talked about creating new projects in Octopus Deploy in order to deploy projects to different environments. In this post I’ll explain a bit on how to create Octopus Deploy packages for your Visual Studio projects via Teamcity.
To enable packaging for Octopus you’ll need to include the Octopack NuGet package to the project you are packaging. In my case this will be the Worker project since I’m only working with Microsoft Azure solutions at the moment.
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The latest project I was working on didn’t have a continuous integration and continuous deployment environment set up yet. Creating a continuous integration environment was rather easy as we were already using Teamcity and adding a couple of builds isn’t much of a problem. The next logical step would be to start setting up continuous deployment.
I started out by scripting a lot of PowerShell to manage our Azure environment like creating all SQL servers, databases, service busses, cloud services, etc.
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