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Xangati 2016 Predictions: 5 Value Imperatives for How to Measure Virtual TCO in 2016

Virtualization and Cloud executives share their predictions for 2016.  Read them in this 8th Annual series exclusive.

Contributed by Atchison Frazer, VP Marketing, Xangati

5 Value Imperatives for How to Measure Virtual TCO in 2016

Measuring TCO (total cost of ownership) for virtual infrastructure investments in 2016 will go way beyond traditional tradeoffs of physical server consolidation in favor of virtualized CPU power. It will include the assumed cost reduction and optimization dividends yielded from fewer resources required for development, deployment, configuration, security and maintenance.

Here are 5 value imperatives for determining the best virtual TCO model in 2016:

1.    Is the solution consistent with my core technology philosophy? I prefer having end-to-end visibility over my entire infrastructure, and I want to be able to resolve any performance issues immediately. Therefore, I have to see critical components live (seconds). TCO: Your goal should be to accelerate time-to-resolution by more than 70 percent, improving asset utilization and operational efficiency.

2.    Are the solutions' data trustworthy? I'm all for innovation, but my legacy, siloed systems have carried me through rough patches before. TCO: How will it respond in high-stress situations? Virtual infrastructures are dynamic. You need to know that your performance monitoring tool can adapt on the fly. Additionally, you will want to be able to measure service assurance outcomes predicated upon: improved customer experience; revenue opportunity gains; faster trouble ticket resolution; productivity gains for end users; reduced support hours clocked; and a greater percentage of problem-resolution issues resolved within your SLA parameters.

3.    How will my investments in performance visibility result in a virtual infrastructure solution that yields competitive advantage and creates separation from my competitors? TCO: Accurately identify redundant applications, and apps overdue for end-of-life, which are benefits especially valuable to companies with active levels of M&A activity. The long-term benefit is a more scalable, flexible and efficient mechanism to ensure predictable workload performance for virtualized infrastructures, enabling IT operations and DevOps to meet SLAs and minimize disruptions while maintaining the highest standards of end-user quality of experience.

4.    How effective are your Data Analytics in identifying root cause of performance degradation - quantitative and real time with correlated, machine-learned, system-generated corrective recommendations? TCO: Improved customer experience tied to revenue opportunity enhancements; productivity gains for end-user access and output; and reduction in support hours with a tangible percentage resolved within SLA parameters.

5.    I find it painstaking and often difficult to quantify dollar benefits beyond the typical sources such as e-commerce QoS responsiveness, customer support SaaS availability, and overall run-time performance of mission-critical applications. TCO: You need to avoid revenue leakage from suspect performance; also, you have to manage service assurance metrics against  improved customer experience; productivity enhancements for end users; reduction in resolution workload volume; and greater ease in achieving SLA commitments.

Virtual applications provide the opportunity for end-to-end automation of core enterprise business processes, provided that 360-degree performance visibility is maintained on-demand.


About the Author

Atchison Frazer, VP Marketing, Xangati.

Atchison brings over 20 years of IT strategic marketing expertise to Xangati, most recently as CMO of KEMP Technologies, an emerging growth software developer competing in the enterprise Application Delivery Controller segment, and prior to that, CMO of Gnodal Ltd (now part of Cray), an innovator of High Performance Computing data-fabric technology and High Frequency Trading fintech infrastructure.

Education: University of Lousiville, B.A., Political Science


Published Monday, December 07, 2015 6:35 AM by David Marshall
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