When Spending Limits Go Awry: An Azure Story.

As longtime readers will know I’m quite keen on Microsoft’s Azure platform and whilst I haven’t released anything on it I have got a couple projects running on it right now. For the most part it’s been great as previously I’d have to spend a lot of time getting my development environment right and then translate that onto another server in order to make sure everything worked as expected. Whilst this wasn’t beyond my capability it was more time burnt in activities that weren’t pushing the project forward and was often the cause behind me not wanting to bother with them anymore.

Of course as I continue down the Azure path I’ve run into the many different limitations, gotchas and ideology clashes that have caused me several headaches over the past couple years. I think most of them can be traced back to my decision to use Azure Table Storage as my first post on Azure development is how I ran up against some of the limitations I wasn’t completely aware of and this continued with several more posts dedicated to overcoming the shortcomings of Microsoft’s NOSQL storage backend. Since then I’ve delved into other aspects of the Azure platform but today I’m not going to talk about any of the technology per se, no today I’m going to tell you about what happens when you hit your subscription/spending limit, something which can happen with only a couple mouse clicks.

Azure Spending Limit

I’m currently on a program called Microsoft BizSpark a kind of partner program whereby Microsoft and several other companies provide resources to people looking to build their own start ups. Among the many awesome benefits I get from this (including a MSDN subscription that gives me access to most of the Microsoft catalogue of software, all for free) Microsoft also provides me with an Azure subscription that gives me access to a certain amount of resources. Probably the best part of this offer is the 1500 hours of free compute time which allows me to run 2 small instances 24/7. Additionally I’ve also got access to the upcoming Azure Websites functionality which I used for a website I developed for a friend’s wedding. However just before the wedding was about to go ahead the website suddenly became unavailable and I went to investigate why.

As it turned out I had somehow hit my compute hours limit for that month which results in all your services being suspended until the rollover period. It appears this was due to me switching the website from the free tier to the shared tier which then counts as consuming compute hours whenever someone hits the site. Removing the no-spend block on it did not immediately resolve the issue however a support query to Microsoft saw the website back online within an hour. However my other project, the one that would be chewing up the lion’s share of those compute hours, seemed to have up and disappeared even though the environment was still largely in tact.

This is in fact expected behaviour for when you hit either your subscription or spending limit for a particular month. Suspended VMs on Windows Azure don’t count as being inactive and will thus continue to cost you money even whilst they’re not in use. To get around this should you hit your spending limits those VMs will be deleted, saving you money but also causing some potential data loss. Now this might not be an issue for most people, for me all it entailed was republishing them from Visual Studio, but should you be storing anything critical on the local storage of an Azure role it will be gone forever. Whilst the nature of the cloud should make you wary of storing anything on non-permanent storage (like Azure Tables, SQL, blob storage) it’s still a gotcha that you probably wouldn’t be aware of until you ran into a situation similar to mine.

Like any platform there are certain aspects of Windows Azure that you have to plan for and chief among them is your spending limits. It’s pretty easy to simply put in your credit card details and then go crazy by provisioning as many VMs as you want but sooner or later you’ll be looking to put limits on it and it’s then that you have the potential to run into these kinds of issues.

 

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