According to Gartner, AIOps combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection and causality determination. It is used to solve problems current visibility solutions fall short on. Riverbed IQ uses full-fidelity cross-domain data and applies AI techniques and automation workflows to collect diagnostic content and prioritize events for fast, focused root cause analysis.
When organizations invest in an observability platform that unifies data, insights, and actions across IT, they can resolve problems faster, eliminate data silos, resource-intensive war rooms, and alert fatigue. Riverbed IQ unified observability enables fast, effective decision-making across business and IT, codifying expert troubleshooting knowledge so junior staff can achieve more first-level resolutions, facilitates digital innovation, and continuously improves digital experience for customers and employees.
Comprehensive support of telemetry – across networks, infrastructure, applications, and end users – provides the foundation of unified observability.
Riverbed IQ leverages baselining, thresholds, and change detection and correlates across time series, devices, locations, and applications for more accurate alerting and faster problem resolution.
Out of the box, Riverbed IQ automates troubleshooting by replicating the best practices of IT experts. Pre-built workflows gather evidence, build context, and set priorities so more of IT can fix problems and reduce escalations.
Actionable insights mean IT solves the right problems fast to keep users productive. With the best data, multifaceted correlations, and workflow automation, Riverbed delivers context-rich, filtered, and fix-first insights, ready for action by anyone in IT!
Learn more about the Riverbed Platform
Use automation to gain IT efficiency, quality, and speed while reducing costs.
Deliver a seamless digital experience to your employees, wherever they work
Proactively detect and mitigate issues in SASE/SSE environments.