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@Zenoss Releases Analytics 4.4 - Enhances Capacity Planning, Scalability & Reporting
Zenoss Inc, the leading provider of unified monitoring and management solutions for physical, virtual, and cloud-based IT infrastructures, today announced the company has expanded the IT Operations Analytics capabilities of its Zenoss Service Dynamics solution.

As evidenced in the 2013 Forrester Consulting study, inadequate capacity continues to be the top reason for service performance and availability issues. With downtime costs often exceeding $100,000 per hour, there is immense focus on optimization of the capacity planning process. Unfortunately, because of the complexity and dynamic nature of today's datacenters, comprised of legacy, virtualized and cloud based infrastructure, effective capacity planning is both more challenging and more critical at the same time.

"Effective analytics are key to efficient and dependable datacenter operations. With the ever-increasing complexity of today's datacenters, ensuring reliable performance and availability is a huge challenge," said Alan Conley, CTO of Zenoss. "With this latest enhancement to the Zenoss solution, our customers have a single dashboard where they can see if the services are being delivered as designed, identify trends, and proactively eliminate issues and bottlenecks."

Enhanced IT Operations Analytics capabilities now available in Zenoss Service Dynamics include:

  • Improved capacity management - Based upon historical trends, Zenoss predicts the utilization rate X days forward which allow you to more effectively identify and manage future capacity requirements.
  • Better handling of very large data sets - Enhanced export, transform and load (ETL) capabilities within Zenoss allow parallel loading of information to significantly shorten time required to analyze enormous amounts of data. 
  • Enhanced reporting for highly distributed operations across multiple time zones - Analytics brings significant value to globally dispersed organizations by generating reports that show information pertinent to the business hours of the local operations.
  • Focus on significant data using Nth percentile calculations - For areas such as network traffic where percentiles rather than min/max or even averages provide relevant data, Zenoss helps you filter the noise by eliminating insignificant outliers.
Published Tuesday, August 12, 2014 6:19 PM by David Marshall
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