How does AIOps work: Machine learning vs AI

AIOps platforms are emerging as essential tools for managing the complexities and challenges posed by modern hybrid IT environments, which often lead to overwhelming event and alert storms. By leveraging artificial intelligence (AI) and machine learning (ML), AIOps provides Site Reliability Engineers (SREs), Ops practitioners, and developers with the capability to enhance their incident response processes through proactive anomaly detection, event correlation, and intelligent alerting. These platforms utilize telemetry data to offer enriched insights, enabling teams to prioritize and resolve issues more efficiently, ultimately reducing manual toil and mean time to resolution (MTTR). AIOps distinguishes itself from traditional monitoring tools by incorporating intelligent automation that supports fast-paced development environments, allowing teams to focus more on strategic and creative tasks while mitigating alert fatigue.