Tag: #azure

[Azure] Setting up continuous integration for (existing) Azure Functions

I a previous blog I showed how you might replace your existing Azure WebJobs with Azure Functions. If you’re creating these functions as part of a project, you’re bound to have some sort of source control solution in place and you might want to leverage the possibility to automatically deploy your code (aka continuous integration).

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[IoT] Aquarium monitor; Sending commands back to your hardware

Let’s start with some awesome news first! All of the sources for this project are now live on GitHub! Which doesn’t mean I’m close to being finished by the way, but it does allow you to take a look and maybe even contribute should you want to. This includes all of the code from the

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Web API controller hosted in Azure not respecting [AllowAnonymous]

Working on a project, I encountered a situation I couldn’t wrap my head around. The project includes a (rather simple) ASP.NET Web API project which is published to an Azure App Service instance. Up to now, all of the endpoints I was calling I had secured using Azure AD authentication which is a breeze to

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[IoT] Replacing webjob with Azure function

In this blog post I will not be adding any new functionality to my aquarium monitor project. Instead, I’m going to replace already existing functionality. Not because that’s needed, but just because I can 😉 We’ll be looking at replacing our webjob instance using something new which is called Azure Functions. If you didn’t read it or

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[IoT] Stream Analytics reference data updates

If you’ve read my post on Azure Stream Analytics, you’ve seen how you can configure a reference data blob to be used to compare incoming IoT data with certain thresholds. The reference data is stored in Azure blob storage, within a certain structure of folders. Now what about updating that file? I found that updates

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[IoT] Aquarium monitor; the Azure notification hub

Hey there! Welcome back again to post #7 in my Internet of Things aquarium monitor series. In this series I’m explaining how to use Windows 10 IoT and Azure to read out sensor data, process it and act on it. And that “act on it” part is what we’ll take a look at in this

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[IoT] Aquarium monitor; mobile app, Cordova style

Finally! Post #6 in my blog series on building an aquarium monitor solution using Azure! In my last post we created a Web API project which provides an API for any application to use. In this post, we’ll take a look at creating an Apache Cordova application for use on mobile phones. This app will consume the API

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[IoT] Aquarium monitor; WebAPI for mobile use

This is post #5 in my blog series about the subject. In the previous post I explained how Azure stream analytics processes all of the incoming messages and places them in the sinks you configure. In my case, messages are now being written to Azure storage blobs, where they reside as CSV files. In this post,

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[Azure] Setting up the Azure billing alert preview feature

Those of you who might follow me on Twitter (@jsiegmund) might have seen this tweet about my Azure credits running out fast: This was caused by the Azure IoT suite remote monitoring sample, which eats up your credits very fast when you leave it running. Now wouldn’t it be nice if there were some way

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[SP2013] Recipe: one SP2013 development machine in Azure

When you are a developer who’s looking for an easy way to create a development machine, this is the post you want to read. Especially when you also have an MSDN subscription lying around somewhere. What we’re going to do is setup a ready to use developer box in Azure. This recipe will require approximately

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