Cirba, Inc. has unveiled an analytics service, Densify™, for optimizing public cloud and on-premise virtual infrastructure. The Densify service is the next evolution of SaaS as it combines the organization’s predictive and real-time optimization analytics with an assigned Densification Advisor™, eliminating the burden of learning, operating, managing and maintaining software. Cirba also announced it is rebranding to Densify, reflecting the company’s strategic value proposition to reduce cloud and infrastructure costs while also improving application performance. The Densify service offers fast time to value, ease of adoption and use and the greatest potential for savings in the market through the industry’s most powerful optimization engine. For a limited time, customers can start with Densify service free for the first 14 days.

“Based on our experience, we know that organizations desperately want to reduce their cloud bill and show highly utilized infrastructure, but there are only so many hours in the day,” said Gerry Smith, CEO of Densify. “We understand that IT is looking for more than a software product — they want outcomes. They are looking for experts who can tune and watch over the automated analytics; they want to know that someone is there for them, helping them deliver results – not another management and maintenance burden.”

Driving Immediate Business Value

With a unique combination of SaaS-based analytics and the Densification Advisor service, Densify is a complete service for automated optimization of public, on-premise or hybrid cloud infrastructures. With Densify, companies automate virtual machine (VM) placement and resource allocation actions to proactively remove risk and drive the lowest unit cost. The new service also offers precise, data-driven cloud migration and transformation strategies and real-time hybrid and multi-cloud workload placements. One of the key benefits of Densify is that it delivers better application performance with the highest asset utilization and lowest public cloud spend without requiring any special training. The service is up and running within 15 minutes, maximizing efficiency, simplicity and results for customers under the guidance of the Densification Advisor.

“Densify serves as the ‘brain’ of our customers’ environments, right-sizing them, taking the guess work out of adding new applications, and determining the best way to leverage cloud,” said Andrew Hillier, CTO and co-founder of Densify. “The analytics engine is extremely robust and has the ability to model some really advanced modernization techniques such as stacking workloads in bare metal clouds or optimizing container placement within a public cloud instance, which can save upwards of 80 percent of the cloud bill for some customers. Our approach is completely different from other products that are reactionary and can’t offer any visibility or insight into the reasoning or best practices of cloud utilization.”

The new service offering delivers immediate business value in these key areas:

  • Reduced Cloud Costs – Densify examines detailed public cloud utilization and billing data to help customers actively reduce costs for services such as Amazon Web Services (AWS)®, Microsoft Azure®, Google® Cloud Platform and IBM® SoftLayer®.  Densify leverages workload pattern analysis and industry benchmarks to enable more advanced optimization of cloud usage. For customers, this translates into savings of 41% on average.

  • Reduced Infrastructure Requirements – In bare metal clouds and on-premise infrastructure, such as an internal VMware® environment, Densify analyzes workload patterns to right-size allocations and strategically place VMs. Densify is the only solution that can dovetail workloads to increase density by an average of 48%, resulting in a savings of 33%.

  • Better Performing Applications – Densify’s predictive analytics leverage historical patterns to model what a workload is going to do in the future. This enables Densify to automatically and proactively place and size VMs to avoid compute and storage risks. It also provides real-time responses to address operational anomalies and unexpected resource shortfalls.

  • Optimized Application Placement and Transformation – Densify reviews all application requirements and workload patterns to automatically place workloads in the best hosting environments whether in the cloud or on-premise according to requirements, cost and strategic priorities. It also provides detailed cloud migration and technology refresh plans.

Addressing Cloud Infrastructure Market Challenges

Despite a growing desire to move to the cloud, many organizations remain concerned about the complexity and risk of such a transition, the scarcity of skilled resources that truly understand new cloud environments, and the time and costs required to manage these new implementations. Other cloud optimization solutions require companies to learn and manage tools, which is resource intensive. At the same time, these offerings lack deep analytics to truly identify how to reduce and control operating costs and risk, putting customers in an ongoing reactive mode with ever escalating operating expenses. In contrast, Densify’s deep, pattern-based workload analysis provides sophisticated cloud optimization capabilities through right-sizing and advanced hosting strategies, such as leveraging containers. With this unique approach, Densify safely reduces cloud spend by 20 to 80 percent.

“Enterprises are often painfully reminded by their monthly AWS and Azure bills that shoveling their apps to public cloud can lead to unpredictable OPEX,” said Torsten Volk, managing director, Hybrid Cloud & Infrastructure Management, Enterprise Management Associates (EMA).   “Our research shows that cost control is the number one priority in hybrid cloud operations, driving demand for a solution that increases the efficiency of public cloud use and provides guidance regarding which public cloud service offers the desired compromise between risk and cost. Densify’s service provides exactly this analytics and control layer to instantly optimize existing application environments and show how future environments will be deployed in a policy driven and cost effective manner. This gets even more interesting when considering the new economics introduced by container-as-a-service offerings and by server-less functions.”