IT Perceptions, End User Realities
Recently Kevin Fogarty wrote in Network Computing about 'IT Perceptions, End User Realities'. He noted that, "End users and IT have significantly different views about IT's role in the organization and the level of satisfaction with IT projects."
Fogerty explains how "IT is under tremendous pressure to innovate; that is, to find new ways to add value to the business via technology initiatives. At the same time, it's tasked with keeping existing systems fully operational. Those are competing, and sometimes contradictory, demands, which may also affect user perceptions."
Below we explore how a new approach to IT operations can affect performance, have a significant impact on the business, and bring these two sides into closer alignment.
IT Ops Today.
The pace of change in today's IT world is truly astonishing. With cost pressures and complexity frustrating many IT ops teams, IT is expected to help the business side weave together multiple kinds of technology to solve time-pressured business challenges, pushing the IT landscape in complexity, having to support a wider range of technologies and platforms, and accelerated release schedules. For IT Operations, change is a fact of life. Change takes place at every level of the application and infrastructure stack and impacts nearly every part of the business. When virtual environments co-exist with physical and cloud entities, it is much harder to troubleshoot performance issues and IT admins may spend hours trying to isolate a problem. Just dynamic workload management mechanism makes this effort incredibly harder. Even with the management capabilities that virtualization and cloud vendors offer, they still lack in monitoring and analytics areas.
Add Actionable Analytics.
Gartner said that "With the improvement of performance and costs, IT leaders can afford to perform analytics and simulation for every action taken in the business. The mobile client linked to cloud-based analytic engines and big data repositories potentially enables use of optimization and simulation everywhere and every time. This new step provides simulation, prediction, optimization and other analytics, to empower even more decision flexibility at the time and place of every business process action."
New Tools for Managing Outsourcing.
IT Ops needs analytic driven management, similar to how business has adopted BI, extracting actionable information out of mountains of data to help decision makers respond efficiently and know what is happening on the outsourcer side.
The Business of IT Operations.
For efficient management of IT ops, new tools are required to do this effort and provide answers to the essential OQ (IT Operations Quotient) questions. The best way to accomplish this is by adopting a tool that lets you know exactly what has changed in your environment, helping to assess and optimize IT operations performance, taking an analytical look at the OQ assessment, turning dynamic, overwhelming change and configuration data into actionable insights.
Gartner Recommends ITOA to Supplement APM.
Maintaining an enterprise's APM investment but complementing and enhancing that outlay with the power of IT Operations Analytics. Cappelli recommends that "IT operations teams should use ITOA platforms to supplement and not replace investments in end-user experience monitoring, application topology discovery and modeling, user-defined transaction profiling, and deep-dive component monitoring."
New Solutions For Agile and Dynamic Operations.
The primary hindrance to greater operational agility has been making sense of the piles of configuration data collected in operations. Maintaining agile operations to support the applications that keep the business running smoothly every day, so with more-modern tools, like IT Operations Analytics, in place companies can transform their operations to accommodate agile development without disrupting key business processes and goals.
Automated IT Operations Analytics tools allow IT organizations to minimize risk of downtime.
IT organizations today have to handle things with a leaner organization and budget. One of the reasons for that is the amount of the data that is generated and they need to process. So the IT industry realized that they need to come up with a solution for how to apply more brain power to automate the decision making in IT.