AIOps is short for Artificial Intelligence for IT Operations. Other names you might recognize include Cognitive Operations, Algorithmic IT Operations and IT Operations Analytics (ITOA).
AIOps is the multi-layered application of big data analytics and machine learning to IT operations data. The goal is to automate IT operations, intelligently identify patterns, augment common processes and tasks and resolve IT issues. AIOps brings together service management, performance management and automation to realize continuous insights and improvement.
This report breaks down AIOps TPO organizations by strategy, process, people, and technology. This research quantifies how much better top performing organizations are and how to become one.
Industry analysts have defined a set of capabilities that an AIOps platform should provide. These include:
Many organizations have transitioned from the static, disparate on-site systems to a more dynamic mix of on-premises, public cloud, private cloud and managed cloud environments where resources are scaled and reconfigured constantly.
More devices (most notably Internet of Things, or IoT), systems and applications are providing a tsunami of data that IT needs to monitor. For example, a locomotive can produce terabytes of data during a trip. In IT terms this explosion is called Big Data.
No human can process the explosion of data IT Operations is expected to handle. IT teams cannot prioritize different issues for resolution in a timely fashion. They are inundated with a large volume of alerts many of which are redundant. This negatively impacts user and customer experience.
Traditional IT management solutions cannot keep up with this volume. They cannot intelligently sift through events from the sea of information. They cannot correlate data across interdependent but separate environments. They cannot deliver the predictive analysis and real-time insight IT operations needs to respond to issues quickly enough.
To identify, resolve and prevent high-impact outages and other IT operations problems faster, organizations are turning to AIOps. AIOps enables IT operations teams to respond quickly and proactively to outages and slowdowns while expending much less effort. It bridges the gap between a dynamic, diverse and difficult IT landscape on the one hand and user expectations for minimal or no interruption in system availability and performance.
The benefits users have found using AIOps include:
Dennis Drogseth, Vice President of Enterprise Management Associates, will examine the technical realities and requirements that underline effective AIOps solutions. Also, a demo of AIOps use cases.
Aha! Book: Next Generation IT Operations
Analyst Paper: Automating AIOps with Micro Focus Operations Bridge - EMA White Paper
Article: The Age of AI and AIOps
Article: Why Automated AIOps Is Better Than Just AIOps
Blog: The AIOps Story Bringing it All Together
Customer Success Story: TIM Brazil Micro Focus Operations Bridge Success Story
Infographic: EMA AIOps Infographic
Webinar: The AIOps Story – Bringing It All Together with Operations Bridge
White Paper: The State of Analytics in IT Operations
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Our AIOps solution includes multi-cloud, SaaS, application, infrastructure, and network monitoring; automation and configuration management.
Operations Bridge automatically monitors all multi-cloud and on-premises resources - any device, operating system, database, application or service and applies AIOps to all data types.
Network Operations Management is a comprehensive network management software solution for large enterprises, MSPs & government agencies.
IT process automation with a drag and drop workflow designer. Orchestrate end-to-end IT processes with speed using thousands of ready-made workflows for multiple uses.