Archive for the 'Storage Economics' Category
I have presented several blog entries on the topic of data protection costs. In a previous blog I suggest that we cannot afford to protect data at the rate that we are now accustomed to. In another entry, I attempted to outline how data protection trends have given rise to over-protected or over-insured data.
I came across this graphic from the HDS Competitive Marketing Group, and it depicts very well the SSD/Flash innovation into traditional storage architectures.
This post is the third in my prediction on the economics of IT series. Be sure to read predictions 1 and 2 if you missed them. My 3rd prediction has to with spending, price erosion and growth. From a macro view, my prediction is that Moore’s law cannot keep up with the rate of growth [...]
This is the 2nd installment of my series on 2014 IT economic trends (read the previous posts here and here). This second prediction may not ring true for all IT planners and architects.
In my last blog of 2013, I set up a premise for IT and storage predictions in 2014, from an economic or financial perspective.
Hu Yoshida has recently completed a blog series on 2014 trends and predictions, and I’d like to add a few of my own from an economic or IT finance perspective. As I look back on the 15 years of developing and observing economic trends in IT, I believe there is a new shift ahead of [...]
A Canadian colleague sent me this article last week, and referenced the fact that low cost (I think they meant to say low price) is the reason spy agencies around the world are able to effectively keep all the data that they do.
The past 3 blogs (part 1, part 2 and part 3) presented the basic framework to identify and measure long-term data retention options. In this final entry, I will summarize other cost areas that need to be considered when one compares and contrasts options for 100-year (or more) data retention plans. In my first blog, [...]
In my third installment on the economics behind long-term data storage (read the first two here and here), I will discuss the single largest cost component for keeping data for very long period of time, and these are the costs of migration and/or re-mastering. In a 100-year perspective, the cost of migration and re-mastering represent [...]
In my part one of my blog on this topic, I constructed a scenario to understand and determine operational cost factors of preserving and retaining data for very long periods of time (100 years or more). Response is that this time horizon is still too short, and that perhaps hundreds of years should be considered. [...]