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Gartner Analysts Have High Expectations for IT Operations Analytics

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Gartner Analysts Have High Expectations for IT Operations Analytics


 

blog gartner logoRecently Gartner released their latest Hype Cycle report on IT Operations Management, advising Infrastructure and operations leaders to use this report to help their set expectations for making technology investments. Saying that IT operations management is overall a mature market, the report states that "several disruptive and hyped technologies are emerging in the production environment."

Below are some of the key areas identified for IT operations. One of the technologies noted that is 'On the Rise' side of the curve is IT Operations Analytics. 

IT Operations Analytics Accelerating

Expecting IT Operations Analytics to accelerate to mainstream by 2018, the Gartner report explained that "Running IT operations like a business requires investments in automation that will drive growth and support transformation projects. However, cost optimization continues to be a primary concern for many IT leaders with an increasing spotlight on IT financial management. With a limited budget, access to IT operations analytics can facilitate making decisions quickly in a dynamic environment, thereby enabling more effective planning and better use of virtualization by leveraging cloud management platforms and DevOps."

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 the "combination of increasing data volume, variety and velocity and increasing system complexity is driving the demand for well-defined and segregated ITOA [IT Operations Analytics] platforms and services."

Forces Driving the Need for Analytics

The main drivers that are creating interest in IT Operations Analytics solutions come from a variety of sources. The main forces are:
  • More Data: Amount of data to manage has increased by an order of magnitude
  • Complexity: The increased demand for system adaptability requiring complex internal structure
  • Dynamics: Systems are now composed of large number of moving parts, requiring global visibility for maintaining performance and availability

Best Applications for IT Operations Analytics

  • Root Cause Investigation: The models, structures and pattern descriptions help users to pinpoint fine-grained and previously unknown root causes of overall system behavior pathologies
  • IT Triage: When multiple root causes are known, analytics systems output can determine and rank relative impact, so that resources can be devoted to correcting the fault in the most time-efficient and cost-effective way possible.
  • Proactive Management: Can predict future system states and the impact of those states on performance
  • Problem Resolution: Can determine how to resolve problems or, at least, direct the results of analytics inferences to the most appropriate individuals or communities in the enterprise for problem resolution.
  • Complementing Best-of-breed Technology: The models, structures or patterns are used to correct or extend the outputs of other discovery-oriented tools to improve the fidelity of information used in operational tasks
Looking at how IT Operations Analytics has already been applied, the analysts note that "Users should also be aware that these tools have solved, and will continue to emerge to solve, specific IT operations problems; e.g., workload automation analytics, application performance monitoring (APM), performance and capacity analytics, root cause analysis (RCA), etc."

High Business Impact of IT Operations Analytics

IT Operations Analytics received a rating of 'High', meaning that it enables new ways of performing horizontal or vertical processes that will result in in significantly increased revenue or cost savings for an enterprise. 

So when taking into consideration adopting IT Operations Analytics, the analysts suggest that "ITOA tools will provide CIOs and senior IT operations managers with a source of operational and business data. The importance of this source will increase dramatically over the next five years, as more and more business processes become essentially digitized and, as a consequence, will, in their execution, generate data that is directly captured, aggregated and analyzed by ITOA platforms."

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 Systems; Apptio; Bay Dynamics; BMC; Evolven; HagridSolutions; HP; IBM; Loggly; Moogsoft; Nastel Technologies; Netuitive; OpTier; Prelert; Savision;SAS; SL; Splunk; Sumerian; Sumo Logic; Teleran; Terma Labs; VMware; Xpolog.
About the Author
Martin Perlin