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Gartner Analysts Score IT Operations Analytics in Key Position

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Gartner Analysts Score IT Operations Analytics in Key Position


 

Recently Gartner released their latest IT Market Clock for IT Operations Management, advising IT leaders to use this report to know the maturity and commoditization levels of assets to build deployment road maps, negotiate pricing, plan divestitures and manage portfolios. Saying that theI&O organization should consider retiring technologies that are no longer as impactful as they once were, the report states that I&O should "adopt IT operations and analytics tools to provide CIOs and senior IT operations managers with operational and business data that enables more-strategic decisions."

Below are some of the key areas of The IT Market Clock for IT Operations Management showing the positions for technologies and where they lie in their market lives and their relative commoditization levels. One of the technologies noted that is on 'Advantage' side of the clock is IT Operations Analytics toolsets. 

IT Operations Analytics Accelerating

Expecting IT Operations Analytics to accelerate to mainstream by 2018, this Gartner report explained that "ITOA tools will provide CIOs and senior IT operations managers with a source of operational and business data. Its importance will increase dramatically during the next five years, as more and more business processes become essentially digitized. As a consequence, they will, in their execution, generate data that is directly captured, aggregated and analyzed by ITOA platforms."

In the report, Gartner principal analysts Will Cappelli, Colin Fletcher, and Jonah Kowall provide their insight for how IT Operations Analytics will impact IT Operations, and the benefits to be gained. They say that "IT operations teams can use these tools to make adjustments and improvements to the IT operational services they deliver to their business customers."

Driving the Need for Analytics

The main drivers that are driving interest in IT Operations Analytics solutions come from a variety of pressures, like:

  • More Data: the report states that the "amount of data available to IT operations teams for performance and availability management has increased by an order of magnitude during the past five years."
  • Complexity: they explain that "increased demand for system adaptability will result in a need for a complex internal structure"
  • Dynamics: they raise the issue that environments are increasingly "composed of a large number of moving parts that move relatively independently from one another"

Where to Apply IT Operations Analytics

  • Root Cause Investigation: Ppinpoint fine-grained and previously unknown root causes of overall system behavior pathologies.
  • IT Triage: Determine and rank the relative impact, so that resources can be devoted to correcting the fault in the most timely and cost-effective way possible.
  • Proactive Management: Predict future system states and the impact of those states on performance.
  • Problem Resolution: Determine how problems may be resolved or, at least, direct the results of inferences to the most appropriate individuals or communities in the enterprise for problem resolution.
  • Complementing Best-of-breed Technology: Correct or extend the outputs of other discovery-oriented tools.
Looking at how IT Operations Analytics has already been applied, the analysts note that "Users should also be aware that these tools have and will continue to emerge to solve specific IT operations problems, such as workload automation analytics, APM, performance and capacity analytics, and root-cause analysis."

Emerging IT Operations Analytics Vendors

The strong momentum that IT Operations Analytics has gained has drawn the attention of innovative vendors. The report lists some of the leading vendors that are offering IT Operations Analytics solutions: AccelOps, Appnomic, Apptio, Bay Dynamics, BMC, Evolven, Hagrid Solutions, HP, IBM, Loggly, Moogsoft, Nastel, Netuitive, OpTier, Prelert, sumo logic, Savision, SAS, SL, Splunk, Sumerian, Teleran, Terma Labs, VMware, Xpolog.
About the Author
Martin Perlin