Looking at the future – and even the present – the only thing we can be sure of is change. This week’s featured articles all focus around that uncertain certainty, whether we look at data center designs or delve into the impact of software on both military activity and more general transportation.
Data center efficiency isn’t a new challenge, but the methods used to improve PUE and other power consumption concerns are constantly evolving. It’s easy to focus on how hyperscales like Facebook and Google are pushing the envelope, but this week’s featured articles showcase some different angles.
Topics: data center
Curating industry news to share on Fiber Mountain’s social media accounts provides an interesting insight into the ebb and flow of trends. “Digital Transformation,” for instance, first started gaining ground about two years ago and now it’s everywhere. “SDN” has been fading this year, surpassed by an assortment of other “software-defined” offerings.
And now, I’m noticing “Software-Defined Data Center” (SDDC) popping up in unexpected places, as more and more vendors try to find (or create) a role for themselves in the delivery of more dynamic and agile networks.
On-premises data centers aren’t so much dying as fading into the background – still around, but neither exciting nor high-priority for many organizations. As the Cloud boom continues, it’s interesting to see a new ecosystem developing around the range of off-premises computing services, from colocation space to SaaS and IaaS, and now marketplaces to help customers to find the right ecosystem vendor or supplier for their needs.
And then there’s the International Space Station… which I think counts as the ultimate edge computing application, at least for now!
Technology is certainly an essential component of today’s digital transformation efforts, but is it in the driver’s seat? Today’s articles once again indicate that it is business (or organizational) needs that drive the selection and deployment of technology in successful initiatives.
Technology for the sake of technology doesn’t increase efficiency, efficacy or value – but new technology implementations guided by business needs can deliver all three.
Digital transformation – companies around the world realize it’s important, but making it work is a different matter. There are all sorts of “X Rules” type articles, but I tend to think that concrete examples are more likely to provide useful insights. Even when those examples come from vastly different industries or teams, there’s always something that can translate over to your own situation.
And they’re more fun too! Even if you don’t take away any specific ideas for your digital transformation strategy, I’m sure you’ll enjoy this week’s featured articles.
Topics: digital transformation
The pace of change in technology is accelerating, opening up new opportunities for both efficiency and efficacy. It’s a challenge - evaluating and implementing new technologies takes a combination of time, resources and in-depth understanding of present and evolving needs.
It will take time for larger organizations to implement tools like SDN and dynamic infrastructures – especially government organizations weighted down by regulations written to address now-outdated technologies and best-practices. Fortunately, there are also a growing number of examples available to lead the way - making potential benefits clear and giving insight into the situational pros and cons of different options.
Digital transformation is starting to transform from a buzz phrase into an expected part of everyday life, from enterprise boardrooms to sports teams to city infrastructure. Even when the phrase “digital transformation” is absent, the influence of its disruption and potential is easy to spot.
What do you think?
Topics: digital transformation
New technologies are often exciting, and I love exploring their potential for improving both lives and profit margins. There’s another side to that potential, however – as Spiderman teaches us, “with great power comes great responsibility.”
Whether it’s the potential for easy-to-implement as-a-Service offerings to lock companies in for the long term, the potential for social networks to shape the standards of public interaction, or the potential for great computing power to render old security methods ineffective, we can’t afford to ignore the need to be aware of and manage the impact of the innovations going on around us.
What does AI have to do with networks and data centers? Expanding applications of AI – from analyzing big data to automating processes – will contribute to the growing demand for data center resources. Hopefully, AI and machine learning will also contribute to the solutions, from security and efficiency to managing dynamic network infrastructures.