Enterprise Cloud Value Straight Up

Long time since last article, but have been very busy delivering significant cost optimizations and just finished my speaking and conference rounds in Q4. This video of Phil (AWS Enterprise Strategy) and I during the TBM Council received some really good praise and feedback, and I am sending the link so that the many great folks I met within last 6 months can spend 10 minutes (12:30-22:30) on this video to go after setting up or enhancing their cloud business operations focus and achieve significant results quickly.

CIO Summit, AI SummitNY, TBM Council, ReInvent speaking and discussions has provided the much needed community feedback loop I use to socialize the principles and get real feedback on how to continuously improve and take advantage of Moore's and Kryder's law and the stuff in Cloudonomics that Joe Weinman and DSE stuff that Dean Nelson at Ebay/Uber and I were doing years ago. The machine learning, narrow task AI, data lake, algorithm tuning, prescriptive analytics inception, and data exploration/presentation layers took many years to learn and stitch together. But the payoff is huge for the enterprise.

The video explains what happens when your development teams become financially aware while designing to value. It explains how you begin to score your Cloud Financial Center of Excellence and why you do need to go through a sequence and order to do it right and roll out right things to right groups, not the entire company at once. How to measure, what to measure, how to triangulate each workload and product beyond just a tech measure of cost reduction month over month.

Doesn't matter if your workload modeling and optimization management platform is not world class or fully deployed today, just start to staff a couple folks part time to focus on these measures and link the finance, mgmt, techops, and appeng to the same financial maturity and engineering maturity end game goals and measure along the way. Yes it's complex, yes there are 8 categories of things to optimize, with 150 tactics and 200+ datasets to be one of the nations best according to my AWS account team, but start with the simple and add on to re-harvest the banked savings into more items and learn how to use/administer them for automation into suggestion mgmt workflows. The instant success will begin to snowball and gain momentum. Drive the behaviors, the numbers follow.