Cloe—the Cloud-Learning Optimization Engine—enables your applications to become self-aware of their resource requirements and to dynamically match their needs to optimal cloud supply.
When deploying an Amazon Web Services Elastic Cloud Compute Instance, there are more than 1.7 million potential considerations, and EC2 is only one of 90 services offered.
Companies are increasingly buying into and making annual financial commitments to public cloud services that do not match their application requirements.
They do this because it is not humanly possible to select the optimal array of cloud services for an application. Intelligent analytics are required to match evolving app requirements with existing and newly-offered cloud services.
As application demands change, and new services are introduced, or old services are modernized, Cloe’s machine learning responds. Your applications—now made smart—are forever optimized, and your cloud spend begins plummeting immediately.
Application demands can fluctuate every day, hour, and minute of the week. In parallel, cloud offerings—such as a particular compute instance from a single vendor like AWS—can individually have millions of permutations. It is impossible to match your application needs with the cloud technologies available, while optimizing each dollar spent.
Densify leverages Cloe’s machine learning technology to continuously analyze cloud usage patterns, proactively making your applications self-aware of the changes required to continuously optimize performance and dramatically reduce costs. Unlike traditional cloud tools that focus on your bill but don't fix the underlying problem, Densify uses Cloe to target the root of cloud performance challenges by addressing the problem at the application and infrastructure layers.
Cloe continuously learns your application usage patterns and demands, and also has deep knowledge of what technology resources cloud providers like AWS, Microsoft Azure, and Google Cloud, currently offer—as well as their pricing. Cloe can perfectly match your applications’ needs with the supply available from one or more of these cloud providers.
Cloud services can have a 35% underutilization rate in the absence of effective management, as resources are oversized and left idling…As an organization grows in its use of public cloud infrastructure as a service (IaaS), its ability to monitor, manage, and optimize those resources in a cost-effective manner often fails to keep pace.
Analysis of over 70 Densify customers revealed:
were buying services that did not match their application requirements
had made annual resource commitments (via reserved instances) to the wrong service
had purchased “cloud spend management” software that reinforced financial commitment to the wrong instances
faced massive management complexity created by everchanging application resource demands and cloud provider service offerings
was the average amount Densify customers saved, and some achieved savings as high as 80%