Yotascale Cloud Cost Anomaly Detection Saved Zoom $600K in One Month

As someone who has worked in enterprise software for a lot of years, I’m always interested in thinking about what’s next. Sometimes looking in the past is a way to predict the future.

These days when you found a startup, you don’t go out and buy a rack of servers. And you don’t build an in-house data center team. Instead, you farm out your infrastructure needs to the major cloud platforms, namely Amazon AWS, Microsoft Azure and Google Cloud.

A couple vendors making their debuts at re:Invent this week show how the cloud is changing the design and functionality of databases and systems management.

When it comes to optimizing today’s complex cloud environments, it almost seems that you need a Ph.D. in cloud computing just to understand all of the moving parts. There are countless variables

Organizations are moving applications to modern cloud computing infrastructures at a growing pace because they provide business services on-demand, but the transition to a usage-based OpEx cost model can come at a steep price.

Tackling increased complexity in the cloud space, startup YotaScale offers a predictive-analytics-driven platform for optimizing and managing cloud application operations.