AIOps, short for AI for IT operations, is an emerging operational practice leveraging machine learning to manage and resolve problems across digital systems. This approach allows companies to proactively monitor their infrastructure and application performance by correlating logs, metrics, and events, identifying root causes, and triggering automated responses before users even notice issues.
The architecture of an AIOps platform comprises three layers: data collection from various sources, probabilistic inference processes for event classification, and robust observability frameworks ensuring AI’s reliability. As systems grow complex, the need for intelligent monitoring escalates. A successful AIOps implementation requires careful planning, utilizing strategies such as starting small and focusing on measurable successes, heralding an essential evolution in IT operations management.
👉 Pročitaj original: CIO Magazine
