What is AIOps?
AIOps is the evolution from manual IT Operations Management (ITOM) to using artificial intelligence and machine learning to supplement and complement staff capabilities. AIOps helps organizations make sense of the terabytes of metrics and log data that are being collected for better collaboration and continuous improvement.
AIOps leverages big data, analytics, and machine learning to provide insight and enable autonomous remediation. IT Ops no longer needs to depend on human operators for the management of tasks that modern software and infrastructure require.
Why Do We Need AIOps?
In today’s world, almost every business is in the software industry. Data chaos can become an enormous problem that requires an equally enormous solution. Data flowing in at different speeds and volumes can be daunting. AIOps offers an effective solution to the data chaos problem. With the application of machine learning and artificial intelligence, AIOps can take in any data from any source and utilize it to detect problems and give crucial information that can help businesses solve problems, fast.
Where AIOps is Used
Develop Fast Problem Analysis
AIOps has the potential to very quickly understand the cause of a problem affecting critical services by performing operations such as event correlation and log metrics so that you can rapidly find the root cause of the issue and quickly deploy a fix.
Problem Detection with Smart Alarms
AIOps can generate alerts based on values of out-of-the-ordinary scenarios which is often referred to as anomaly detection. Behind the scenes, the appropriate algorithms learn from data by using AI across tools and identify events that do not match an expected pattern.
Automation
AIOps leverages cross-domain, intelligent data insights to trigger processes in your automation and collaboration tools to drive faster, automated problem detection and remediation.