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.
AIOps stands for Artificial Intelligence for IT Operations. It is advanced analytics including machine learning and AI to monitor and manage the performance and reliability of applications and hardware systems, detect anomalous problems, adapt to changes in load, handle failures, and proactively or rapidly adjust with no or minimal disruption of services. Other names for AIOps are IT operations analytics (ITOA), advanced operational analytics, AI for ITOM, IT data analytics, and Cognitive Operations.
AIOps is the multi-layered use of big data analytics and machine learning applied 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, event management, and automation to realize continuous insights and improvement.
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, if you have 10,000 servers or VMs and are monitoring 100 metrics per minute you have 60 milliion data points per hour. A
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 can cause alert fatigue, where important alerts may be ignored due to all the noise of unimportant alerts. This negatively impacts user and customer experience.
Traditional IT management solutions cannot keep up with this volume. They cannot intelligently sift through metrics and events from the sea of information. They cannot correlate data across interdependent but separate environments. They cannot deliver the predictive analysis and real-time insights 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 on the other.
The benefits of AIOps to IT operations include:
Benefits to employee and customer experience include:
AIOps generally improves the quality of IT service due to optimization of networks, it modernizes IT operations and the IT operations team, going beyond solving problems to improvements that make IT systems and operations better over time.
All of which will improve the quality of service, customer satisfaction, and reduce churn, while saving costs significantly over more manual methods of IT operations management.
Detect IT incidents
Identify and report IT incidents when they happen or have happened.
Predict IT incidents
Identify potential IT incidents and report on them before they impact users.
Mitigate IT incidents
Automatically fix IT incidents or send reports to humans to make it simpler for them to fix the problem.
When you decide to move forward with AIOps there are two main paths:
There are pros and cons to each, but they are roughly equivalent to buying a great engine to build your own car or buying a fast car. Consider which you would like to do.
Build your own AIOps solution
Reasons you might build your own with a fast, embedded AIOps engine are:
OpenText offers Vertica which is a powerful data analytics engine inside many AIOps solutions, both in large companies such as telcos and analytics providers for telcos and computer hardware providers, as well as in companies that sell AIOps solutions, often customized to a particular industry or geography.
Buy an out-of-the-box AIOps solution
Reasons to buy a prepackaged out-of-the-box AIOps solution:
Operations Bridge is an enterprise that automatically monitors and analyzes the health and performance of multi-cloud and on-premises resources for any device, operating system, database, application, or service across all data types. With event consolidation engines and big data analytics noise reduction technology, it uniquely integrates end-to-end service awareness with machine learning-based event correlation capabilities delivered on top of our OPTIC Data Lake powered by Vertica.
Request a demonstration of Operations Bridge.
AIOps has become a must-have technology to deliver great customer experiences and differentiation for network and telecommunications organizations.
Explore how AIOps technology offers the speed and scale to stay ahead of service reliability problems that impact the customer experience, and ultimately revenues.
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AIOps platform offers AI-based correlation to reduce noise
AIOps helps NOS, the biggest communications and entertainment group in Portugal, to distinguish noise from fact by using AI-based automatic event correlation (AEC) using machine learning and algorithms to analyze patterns in the event stream and using these patterns to group events together, which, with a high probability, originate from the same problem. This grouping enables focused event processing for an operator. It shows all related events grouped together by AEC, making it easier to identify and work on the root cause.
AIOps powers automated IT monitoring solution
French IT service provider NXO France uses AIOps to build and deploy an innovative automated IT monitoring solution to gain a complete and accurate view of the dynamic and complex networks NXO customers work with and automates remedial action tasks with thousands of out-of-the-box operations.
Proactive issue resolution, improved service quality, and better decision-making processes with AIOps
Türk Telekom is Türkiye’s leading information and communication technologies company. They use AIOps to provide instant impact analysis and the ability to automatically run algorithms to detect the root cause of an issue, with the results monitored in real-time. “We partner with OpenText in other areas of our business and felt the AIOps suite of solutions would benefit this project.”
Dennis Drogseth, Vice President of Enterprise Management Associates, will examine the technical realities and requirements that underline effective AIOps solutions, and a demo of AIOps use cases.