The move to public cloud is nothing new, many companies have moved or attempted to move key workloads into the big hyperscale providers, AWS, Azure, Google and IBM, but for some it has been a mixed success.
We have probably all heard of cloud projects (or maybe even had projects) that have not gone to plan, this can be for a range of reasons, cost, technical difficulties, performance. There is a long list of reasons that cloud projects don’t go the way that’s expected. But at the heart of many of those projects is the presumption that cloud is both cheap and easy. It comes as quite the shock we we discover it isn’t!
However, things may be about to change as a new wave of technology companies are emerging that are starting to address, what is, the highly complex world of public cloud platforms.
This week is the first in a few shows where we look at the complexity of using public cloud and chat with some of the technology companies who trying to address some of these challenges by taking fresh approaches to the problem and aiming to make the cloud experience better, both technically and commercially.
In this first show I’m joined by Andrew Hillier, co-founder and CTO of Densify. Densify have taken a fascinating approach to the problem, built on Andrews long and strong analytics background.
Densify uses a robust analytics platform to build a full understanding of the workloads that have moved to the cloud, develop a performance profile then automatically modify those applications to fully take advantage of the cloud platform they are running on, ensuring they are optimised for the right services and right commercial cost models.
If that sounds interesting then dive in as we discuss a wide range of topics including why public cloud is complicated, why it should never be about the money alone, the limitations of first generation approaches to optimisation and how one of the biggest reasons cloud project fails Is people buy the wrong cloud stuff!
Andrew provides some valuable insights and shares what is a pretty smart approach to the problem.
For full show notes :-