Artificial Intelligence is revolutionizing across the industry and ITOPS is untouched to it. Cloud Solutions has given a cost & time effective solution for the provisioning of Machines. Resulting, exponential growth in IT infrastructure in the last few years and making highly complex Infrastructure. IT world has made heavy investments in Application & Infrastructure Monitoring. As to keep the business running. But still looking for a panacea, to avoid scenarios like downtime & machine performance issues.
24 X 7 availability of Infrastructure is a crazy task for IT Operations Team. Especially, in identifying the Root Cause of anomalies occurrence. AI can be a strong tool, for identifying the anomalies patterns (as per the previous learning) and push the red button, as for notifying & extending the helping hand in troubleshooting. In other words, rather than in continuous fire fighting mode, AI can help in identifying the root cause and become the starting point to automate them, so that proactively action can take place post identification via AI.
Data Source for AI
While making AI solutions, data quality validation must be done thoroughly. As to avoid adverse impacts on the ecosystem, and bringing the system down. Most of the time, monitoring performance data is the source of AI for the identification of Patterns for identifying and/or predicting Anomalies proactively.
AI must absorb the learning of Performance Data of each Monitoring Metric in normal scenarios, and in case of any event, must activate an iterative process to learn, and identify the impact & correlation in between monitoring metrics. As on when there is a sudden change, AI tracks it and looks for historical patterns/instances, so as to refer to the possible impacted areas and/or metrics and corrective notifications & recommendations.
Author: Anuj Garg DevOps
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