Case Study: International Energy Company reduces noise and improves outage response with Moogsoft AIOps

International Energy Company reduces noise by 99% with Moogsoft

A major international energy company faced significant challenges in managing its complex technology stack, which relied on over 350 critical applications. With new tools increasing complexity, their existing event management system was inadequate, making it very difficult to identify the root cause of issues and leading to a high risk of costly outages. The company's IT leadership sought an AIOps platform to proactively identify and automate the resolution of problems, leading them to evaluate Moogsoft.

Moogsoft was selected for its superior AI and machine learning capabilities. The solution ingested data from numerous monitoring tools and integrated with ServiceNow for enrichment, automating remediation workflows and notifications. For this energy company, Moogsoft delivered immediate benefits including a 99% reduction in noise, the replacement of thousands of rules with just four correlation definitions, and a significantly improved mean time to repair (MTTR). The results allowed IT to scale without increasing headcount and deploy new applications with confidence.