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Real World Experiences of Hybrid IT – Part 2

Level 9

My previous post provided a short introduction to this series.

In this post, I’m going to be focusing on public cloud. I’ll cover my day-to-day experiences in using the major hyperscalers, costs, how I think about managing them, and my reasons for adopting hybrid IT as an operational model.

By now, almost everyone reading this should have had some experience with using a public cloud service. Personally, I’m using public cloud services daily. Being an independent consultant, I run my own company and I want to be able to focus on my customers, not on running my own IT.

When setting up my business, it made perfect sense for me to utilise public offerings such as Office 365 to get my communication and business tools up and running. When I want to work on new services or train myself, I augment my home lab with resources within the public clouds. For these use cases, this makes perfect sense: SaaS products are cheap, reliable, and easy to set up. Short-lived virtual machines or services for development/testing/training are also cost effective when used the right way.

This works for me, but I’m a team of one. Does this experience translate well into other cases? That’s an interesting question because it isn’t one-size-fits-all. I’ve worked with a wide range of customers over the years, and there are many different starting points for public cloud. The most important part of any cloud journey is understanding what tools to use in what locations. I’ve seen lift-and-shift style migrations to the cloud, use of cloud resources for discrete workloads like test/development, consumption of native services only, and every combination in between. Each of these have pros and cons, and there are areas of consideration that are sometimes overlooked in making these decisions.

I want to break down my experiences into the three areas where I’ve seen cost concerns arise, and how planning a hybrid IT approach can help mitigate these.

Virtual Machines

All public clouds offer many forms of virtual machines, ranging in cost, size, and capabilities. The provisioning model of the cloud make these easy to consume and adopt, but this is a double-edged sword. There are several brilliant use cases for these machines. It could be that you have a short-term need for additional compute power to supplement your existing estate. It might be that you need to perform some testing and need the extra resources available to you. Other options include being able to utilise hardware that you wouldn’t traditionally own, such as GPU-enabled platforms.

When planned out correctly, these use cases make financial sense. It is a short-term need that can be fulfilled quickly and allows business agility. The cost vs. benefit is clear. On the flip side, leaving these services running long-term can start to spiral out of control. From my own test environment, I know that a running VM that you forget about can run up bills very quickly, and while my own environment and use cases are relatively small even for me, bills into the hundreds of pounds (or dollars) per month for a couple of machines that I had forgotten to shut down/destroy are common. Now multiply that to enterprise scale, and the bill can become very difficult to justify, let alone manage. Early adopters that took a lift-and-shift approach to cloud without a clear plan to refactor applications are now hitting these concerns. Initial savings of moving expenditure from Cap-Ex to Op-Ex masked the long-term impact to the business.


The cloud offers easy access to many different types of storage. The prices can vary depending on the requirements of that storage. Primary tier storage is generally the most expensive to consume, while archive tiers are the cheapest. Features of storage in the cloud are improving all the time and catching up to what we have come to expect from the enterprise storage systems we have used on-premises over the years, but often at additional cost.

Consuming primary tier storage for long-term usage quickly adds up. This goes hand in hand with the examples of monitoring VM usage above. We can’t always plan for growth within our businesses, however, what starts off as small usage can quickly grow to multiple TB/PB. Managing this growth long-term is important for keeping costs low; ensuring that only the required data is kept on the most expensive tiers is key. We’ve seen many public examples where this kind of growth has required a rethink. The most recent example that comes to mind is that of Dropbox. That might be an exception to the rule, however, it highlights the need to be able to support data migrations either between cloud services or back to on-premises systems.


Getting data to the cloud is now a relatively easy task and, in most instances, incurs little to no cost. However, moving data within or between clouds, and in cases of repatriation, back to your own systems, does incur cost. In my experience, these are often overlooked. Sprawl within the cloud, adopting new features in different regions, or running a multi-region implementation can increase both traffic between services and associated costs.

Starting with a good design and maintaining locality between services helps minimise this. Ensuring the data you need is as close to the application as possible and minimal traffic is widely distributed needs to be considered from the very start of a cloud journey.

Why a Hybrid IT Mindset?

With those examples in mind, why should we adopt a hybrid IT mindset? Having all the tools available to you within your toolbox allows for solutions to be designed that maximise the efficiencies and productivity of your business whilst avoiding growing costs. Keeping long-running services that are low on the refactor/replace priorities in on-premises infrastructure is often the most cost-effective method. Allowing the data generated by these services to take advantage of cloud-native technologies and systems that would be too costly to develop internally (such as artificial intelligence or machine learning) gives your business the best of both worlds. If you have short-term requirements for additional capacity or short-lived workloads like dev/test, giving your teams access to resources in the cloud can speed up productivity and even out spikes in demand throughout the year. The key is in assessing the lifetime of the workload and what the overall costs of the services consumed are.

Next time I’ll look at how we build better on-premises data centres to adopt cloud-like practices and consumption. Thank you for reading and I welcome any questions in the comments section.


Nice write up

Level 13

Thanks for the write up.  This is a good series!

I see what you're getting at.

Level 20

It's funny how some people think AWS seems like such a great thing until they spin up all these machines and use up storage... then get the bill.

The bean counters seems to love the idea until the bills start piling up.

Level 13

Interesting article. Thanks

Level 14

Yep.  We have a global infrastructure with Domain Controllers on most sites.  I want to put a couple of DCs in Azure and have the remote sites VPN to them, then take away the local DCs as they are getting on  a bit.  Problem is I can't get a price for what I want which I can use to forecast costs in 3 years time.  Cloud could be the answer or a really expensive mistake. 

Level 9

Thank you all for the kind words and feedback. This one was difficult because I think I could have written a lot more on this subject and keeping it to the point and readable without boring people is a fine balance. Maybe something I can write more on in the future.


BAM!!! Nail on the head!  I was just having a similar conversation with my outside engineer.  I truly believe in the hybrid solution; you are now tasked to do more with less, but you need to make sure that the cost to do business does not outweigh the value of the service provided.


I need ALSO to mention .. for the smaller guys.. or for the business savvy folks.  Get with a vendor that has purchased reserved instance - AWS is cheaper when you buy in bulk.  I am not here to press any one vendor.

For instance, check out the vendor named Presidio:


Level 15

Thanks for the write up.

Hybrid is the only sensible solution for enterprise at the moment. The costs of getting data out of your cloudy monisrosity​ well-planned environment can be ruinous. Plan what your're looking put in the cloud, and keep as much of the use of data moved there to within the same cloud, as much as possible.

Monitoring things in the cloud, especially when you want to turn things off to save costs out of hours, requires you to turn your alert logic on it's head as soon as you turn the lights off!

If you you want to monitor for things going ​down​ between 09:00 and 18:00, once the clock strikes 20:00 (to give you 180 minutes or so of data processing), and you're automation starts putting your cloud instances to "sleep", you want to start monitoring for things that are now ​up​, and alerting you when they are! Leaving that monstrously powerful analysis server online overnight could have a eye watering bill by the end of the month..

So many people forget this when switching to the cloud, and don't get their processes ready for this switch

Level 14

great article. thanks


My question about this and IT in general - why is it that businesses take CapEx and OpEx so differently? I remember when Hardware and Software support was generally 10% of the cost of the product. Now it's generally 20%. Why, because so many companies have settled into the mode of saving money on purchases and letting support "take care of itself." I've personally presented options to companies were option A was a great product for $100,000 + $12,000 for support option B was an ok product for $80,000 + $16,000 for support. The company chose option B - why, because 80 is less than 100. Totally ignoring that over the course of the projected 5 years the cost difference between great and ok was only $4000 and the value received would be far greater with option A.

A $148,000

B $144,000

Level 9

As for the networking part all public clouds are I feel aware of the multiple VPN / IPsec tunnel issue.   That is why SD-WAN is so very important to a hybrid environment. 

With a proper SD-WAN solution putting resources in a public cloud becomes a lot easier, as long as the public cloud provider can provision your SD-WAN solution.

The other nice part of this is if you want or need multiple public clouds it is just like adding another node on your network.

I know that SilverPeak operates in Azure, AWS and Google clouds.

Now if we can get MSP of application services to figure out how to spin up SilverPeak in those clouds then I can just connect to them and the long drawn out process of network integration for SaaS with tunnels is a thing of the past.