These slides are from a webinar which covers the business imperatives that are driving the need for technology transformation. We also discuss the term "web-scale" and how organizations of any size can achieve the efficiencies of the web-scale giants.
We discuss how to build infrastructure to support the business, and best practices for building a team to take your operations to the next level. For a link to the audio and video recording, visit https://cumulusnetworks.com/lp/modernizing-data-center-operations-age-cloud/
[variation of the cloud blueprint slide]
We’re hitting the market as IT teams are being pounded with increased scale and decreasing budgets. This in turn drives data center deployments built on cloud principles: generic infrastructure, converged operational teams, and integrated tool chains. Servers have already gone through this transition and networking is joining. With companies like Google and Amazon leading the way, the cloud blueprint has been laid out.
We’re heading towards a world of converged administrative teams where sysadmins can manage the network and network admins can manage systems.
For the last 20 years, enterprises have looked at Wall Street to define the IT stack. Over time that stack has refined itself into VMware, Cisco, and EMC.
Then along came the today’s web giants. Companies who’ve build their businesses, and their IT stacks, in the information age. The Wall Street solutions were too constrained in scope and scale thus the the Web IT titans have built their own using the fundamentals of computer science, distributed systems, and scale out hardware.
For the last 20 years, enterprises have looked at Wall Street to define the IT stack. Over time that stack has refined itself into VMware, Cisco, and EMC.
Then along came the today’s web giants. Companies who’ve build their businesses, and their IT stacks, in the information age. The Wall Street solutions were too constrained in scope and scale thus the the Web IT titans have built their own using the fundamentals of computer science, distributed systems, and scale out hardware.