And they can’t provide the real-time insight and predictive analysis IT operations teams need to respond to issues fast enough to meet user and customer service level expectations.Įnter AIOps, which provides visibility into performance data and dependencies across all environments, analyzes the data to extract significant events related to slow-downs or outages, and automatically alerts IT staff to problems, their root causes, and recommended solutions. They can’t correlate data across different but interdependent environments. They can’t intelligently sort the significant events out of the crush of surrounding data. Traditional domain-based IT management solutions can’t keep up with the volume. In fact, Gartner estimates that the average enterprise IT infrastructure generates two to three times more IT operations data every year. Today, most organizations are transitioning from a traditional infrastructure of separate, static physical systems to a dynamic mix of on-premises, managed cloud, private cloud, and public cloud environments, running on virtualized or software-defined resources that scale and reconfigure constantly.Īpplications and systems across these environments generate a tsunami of data that keeps growing. Learn more about AIOps Why do we need AIOps? Most experts consider AIOps to be the future of IT operations management. It bridges the gap between an increasingly diverse, dynamic, and difficult-to-monitor IT landscape, on the one hand, and user expectations for little or no interruption in application performance and availability, on the other.
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Diagnose root causes and report them to IT for rapid response and remediation-or, in some cases, automatically resolve these issues without human intervention.īy replacing multiple separate, manual IT operations tools with a single, intelligent, and automated IT operations platform, AIOps enables IT operations teams to respond more quickly-even proactively-to slowdowns and outages, with a lot less effort.Intelligently sift ‘signals’ out of the ‘noise’ to identify significant events and patterns related to system performance and availability issues.Collect and aggregate the huge and ever-increasing volumes of operations data generated by multiple IT infrastructure components, applications, and performance-monitoring tools.Specifically, AIOps uses big data, analytics, and machine learning capabilities to do the following:
What is AIOps?ĪIOps, (for artificial intelligence for IT operations) is the application of artificial intelligence (AI) to enhance IT operations.
AIOps uses artificial intelligence to simplify IT operations management and accelerate and automate problem resolution in complex modern IT environments.