American start-up Turbonomic has released the latest version of its hybrid cloud management platform, adding support for popular public cloud environments from Amazon and Microsoft.

Customers can now easily move their workloads between in-house facilities, colocation data centers, and virtual machines on AWS or Azure, depending on the demand for IT resources and their cost at the time.

Turbonomic 5.9 also promises faster migration between cloud platforms and ability to enforce compliance policies across hybrid infrastructure.

The company claims that by optimizing cloud consumption, it can lower monthly cloud bills by 30 percent.

Right place, right time

Cloud migration
– Turbonomic

Turbonomic (formerly VMTurbo) started out in application performance assurance, and has gradually expanded into management of hybrid IT environments.

Its eponymous product is primarily a monitoring and automation platform that can track performance metrics in real-time and move workloads between different environments as appropriate. The company says it can increase average utilization of IT hardware without risking performance bottlenecks.

“Everybody uses capacity to solve performance issues. That’s the belief system that’s been in the industry for decades, that if we always continue to leave this overhead for growth, then that’s the way to solve performance,” Eric Wright, principal solutions engineer at Turbonomic, told DCD.

“But in fact it’s not. We have proven we can affect both performance and density at the same time: we’ve actually had big customers who have increased performance but are using less infrastructure, and they still have the comfort that they have enough overhead.

“With Turbo, what we do is – if your system becomes more constrained, we become more aggressive about scaling workloads and migrating workloads, in order to solve for real-time performance changes. People learn that they can run their systems at higher utilization very comfortably.”

Turbonomic 5.9 is a single software platform that can monitor all workloads, irrespective of their location or type of infrastructure used. It can handle cloud migration, and estimate costs of cloud infrastructure based on vendor data – although it doesn’t currently take data egress charges into account.

“With AWS and Azure, not only do we have the visibility, but we actually have the ability now to scale, place and control those workloads to be able to solve for performance, make sure that we’re delivering that performance at the lowest possible cost, and then also make sure that we can get compliance controls so that you can assure compliance as far as budgets are concerned, as well as things like data sovereignty,” Wright said.

“We also have policies around high availability and application availability, so we can make sure that workloads stay separate in different regions.

“And then the migration is where the real sweet spot is, because we understand the entire on-premises environment, and we know the real-time cost and actual performance profile of public cloud.”