Thanks to the forces of digital transformation, IT operations is undergoing some pretty significant changes. Traditional IT management techniques are becoming obsolete and an entire restructuring of our IT ecosystems is underway. In response, IT operations leaders are using artificial intelligence to help them do their work better, faster and cheaper. Gartner has coined a term for this fundamental shift. It’s known as Artificial Intelligence for IT Operations, or AIOps for short.
AIOps addresses the challenges of speed, scale and complexity that IT leaders are facing in the wake of digital transformation. Here are five specific factors that are driving forces behind AIOps.
Manual Infrastructure Management – Today’s IT environments are a mishmash of SaaS integrations, third party services, mobile, managed and unmanaged cloud and more. Traditional infrastructure management approaches, like manual tracking and oversight, are simply not adequate in these dynamic, ever-changing environments.
Increase in Data Retention Requirements – The volume of events and alerts being generated through performance monitoring is growing at an exponential rate. Furthermore, the growing number of APIs, IOT devices, mobile applications and digital and/or machine users is driving service ticket volumes through the roof. This has made manual analysis and reporting far too complex and cumbersome.
Demand for Faster Response Time – The more enterprises digitize their business, the more quickly infrastructure problems must be addressed. User expectations have evolved thanks to the consumerization of technology, which is driving the demand for faster reactions to IT events (whether actual or perceived). This is compounded when the issue in question affects user experience.
More/Expanding Computing Power – Given how easy it has become to adopt cloud infrastructure and third party services has empowered individual lines of business (LOB) to develop their own IT applications and solutions. As a result, both budget and control have moved from the center of IT to the very edges of the network, driving the rollout of more computing power.
Influence and Power of Developers – In modern DevOps, programmers are taking more responsibility for monitoring at the application level, however, responsibility for the interaction between services, applications and infrastructure, as well as accountability for the overall health and function of the IT ecosystem still lies at the feet of core IT. As digital businesses are becoming more complex, IT Ops is taking on more responsibility.
Digital transformation is something organizations in every industry and across the entire globe are striving for. AIOps could very well hold the key to success. Power your AIOps with the right solution. Click here to download your free 30-day trial of Ayehu today.