The trouble with SaaS-based hybrid capacity optimisation analytics for cloud-centric software applications is that the insight offered is never quite interactive and collaborative enough, is it? Capacity optimisation analytics is just not touchy-feely enough, as a whole… not if we look at the wider trends in software which see so-called ‘citizen’ developers/engineers interfacing with comparatively complex technologies.
Aiming to bring some resolve and remedy to the hitherto all-too-static world of capacity optimisation analytics is Cirba. The firm has announced an update to its SaaS-based hybrid capacity optimisation analytics, Densify.com.
The new capability is called Expert Insight and is designed to provide insight, from experts… no less!
It provides users with interactive insight and guidance on risks and opportunities in their VMware or hybrid cloud environments. This insight is delivered by Densify.com’s team of optimisation experts (called Densification Engineers) and is integrated in the SaaS user interface.
Customers receive notifications of a new insight and can respond and collaborate with their Densification Engineer through Expert Insight. Along with a new simplified user interface (UI) for presenting and navigating analysis results, the solution’s new capabilities make it possible for untrained or busy users to optimise hybrid cloud infrastructure.
“Integrating domain experts directly into our SaaS software will revolutionise how IT organisations will optimise their infrastructure. Most organisations either don’t have the time or access to the right expertise to optimise capacity decisions, but with Densify.com and its Expert Insight capability, they don’t have to,” said Gerry Smith, CEO of Cirba.
Densify provides analytics for optimising IT infrastructure in hybrid environments including internal VMware infrastructure, Microsoft Azure, Amazon Web Services, IBM SoftLayer and VMware vCloud Air.
Its predictive workload pattern analysis provides recommendations on how to optimise workload hosting, placements and resource allocation decisions.
The software is intended to give firms a chance to make the best possible use of internal and public cloud infrastructure resources to meet utilisation requirements, service levels and operational policy requirements while minimising infrastructure requirements and costs.