Executive Summary
IT operations have reached a breaking point. Traditional monitoring tools can’t keep up with the complexity of cloud-native environments, microservices, and continuous delivery pipelines. Incidents are more expensive than ever with downtime costing enterprises between $300,000 and $1M per hour (Gartner).
Yet, AWS customers adopting GenAI-powered AIOps have seen a 60% reduction in mean time to resolution, 95% fewer out-of-hours incidents, and 99.9% availability across critical workloads. Meanwhile, DevOps and SRE teams are drowning in alert storms, spending more time reacting to noise than resolving real issues.
This is where AIOps (Artificial Intelligence for IT Operations) comes in. By combining advanced machine learning with automation, AIOps doesn’t just monitor (it predicts, correlates, and resolves). The promise is clear: faster Mean Time to resolution (MTTR), lower operational costs, and a more reliable digital backbone for the business. Continue reading “AWS AIOps: The Future of Intelligent and Autonomous IT Operations”