Wondering how you can afford to go green? Get your numbers straight.
Posted by Justin Wiebe, Fortiva Operations
Given my posting last month on green computing, I found the following statistic based on a new survey by McKinsey and Co. quite interesting. Apparently, the world’s data centers are projected to surpass the airline industry as a greenhouse gas polluter by 2020.
In my previous post, I wrote about efforts taken by Fortiva to reduce our overall infrastructure power consumption. This has had the dual benefit of reducing both our impact on the environment and our cost of doing business. Since then, I have been thinking more about the challenges of justifying green computing from a dollars and cents perspective.
Until recently, I have rarely been able to create a positive Return On Investment (ROI) for new hardware purchases, especially those related to green computing. It turns out that all along I was missing something – that dollar amount that pushes the cost of existing systems over the top and reduces the payback to less than 3 years (sound familiar?). And what is that key? Power – more importantly, the cost of the power used over its lifetime by the piece of hardware you want to replace. As noted by Mark Monroe, Director of Sustainable Computing at Sun, rarely are power costs included in the IT budget.
Here at Fortiva, we try to roll all of our data center costs into one number. By adding up all co-location costs, power costs, cooling costs and miscellaneous data center costs (but not bandwidth costs) and then dividing this number by the useable power, we obtain the monthly $/VA cost (or approximately $/W). By then determining the amount of power (VA or W) used by each server, we can calculate the cost per month to keep the server up and running. A sample of the calculation may look something like this:
Co-location Cost ($/VA) * Power Used by Server (VA ) * Server Life = Cost to Run Server
With the cost of power increasing almost everywhere, the Cost To Run Server is approaching the Cost To Buy Server. At Fortiva, the cost of hosting our dual-cpu servers for three years is approximately 75% of the total cost to purchase the server. If you stretch the life of the server out to five years, it actually costs more to host the server than to buy it.
So what should you do now? Try the following:
1 – Determine Co-Location Costs:
- Check your contracts. If you outsource your co-location facilities, you may be able to calculate the $/VA cost from your contracts.
- Talk to your finance department. If you manage your own co-location facilities, see if you can find out the costs of power, maintenance, security, on-call personnel, etc. Remember, your Co-Location Cost is the total of the costs to run the data center, divided by the useable amount of power.
2 – Determine Power Used by Server:
- Get yourself a good power meter and find out how much power your servers actually consume when idle and when under load. The numbers provided by the manufacturers tend not to reflect how you use the servers on a daily basis.
3 – Get out the spreadsheet and start crunching the numbers.
Try calculating the ROI on consolidating some of your existing servers onto virtual machines, or replacing some of your older machines with more energy-efficient models. You’ll probably be surprised by the results.
Hopefully these numbers can provide you with a better understanding of the true cost of your IT infrastructure. Who knows, they may also help you reduce your overall power consumption, justify some new hardware, or even help you justify outsourcing to someone who already has.
In my last post, I talked about a number of traditional software vendors are now entering (or considering entering) the growing SaaS market. I also noted that while the two models (SaaS and traditional software) appear similar on the surface, there are significant differences between the two business models that require you to approach them in very different ways. Today, I’m going to share one of the three key lessons I’ve learned about building a SaaS business, and explain why in my opinion, it’s critical to success.

