Audience Favored: Incremental (54%)
Keep your options open
It’s clear that the choice, like many in IT, needs to be tailored to the specific needs of the business. Comments here and those I’ve received in email certainly make the case that incremental is often considered the safer choice. But safe doesn’t necessarily mean best. When you’re spending resources in your data center you need to consider what the best overall return on investment is. Ruling out options because there is a level of risk or discomfort is not going to lead to the best business decisions.
Like the old saw ‘no one ever got fired for buying XXX” you can play things safe, but that adage became untrue when businesses realized that maintaining the status quo might not the best model for long term business success. As such, the option to overhaul large components of your datacenter infrastructure should remain on the table, regardless of the desire to focus on safe, low risk choices.
Save time and money
If your server room is not stuck in the Flintstone days, then taking an incremental approach to upgrades could allow your company to save time and money. It will reduce the risk of downtime which is inevitably associated with any major overhaul.
Also, as long as your server room isn't creaking under the weight of its current workload, taking an incremental view to upgrading allows money to be spent on customizing the hardware to make it better suited to what is being asked of it.
And, if you're still not convinced about taking the incremental approach, consider the costs -- both direct and indirect -- of a total overhaul, and imagine running that past the CFO.
All of a sudden, incremental sounds great, doesn't it,
It's a draw
We've had close votes before, but this was the first time in Great Debate history that the audience was evenly split. And perhaps, we shouldn't be surprised. Deciding when and how your company should upgrade its tech, whether in the data center or on the desktop, is a choice driven by the specific needs of your organization. There's rarely a one-size-fits-all solution.