
The platform's predictive AI leverages high-fidelity data from Riverbed's observability products, continuously monitoring metrics to detect anomalies and forecast potential issues before they escalate. This proactive approach enables IT teams to implement targeted mitigation strategies, thereby reducing downtime and improving system reliability. The generative AI component offers intelligent recommendations for problem resolution, enhancing decision-making processes within IT operations. Additionally, the agentic AI facilitates automated remediation by replicating advanced investigative procedures, correlating end-user impact with real-time performance data to identify root causes and address complex IT challenges efficiently. citeturn0search4turn0search0
A key feature of the updated platform is the Unified Agent, designed to alleviate agent fatigue by streamlining the deployment and management of Riverbed's agent-based offerings. This common agent strategy allows IT teams to add more SaaS-based monitoring solutions without increasing the number of agents, thereby simplifying operations and reducing overhead.
In addition to the Unified Agent, Riverbed introduced several new data observability modules aimed at enhancing visibility across various IT environments. These include Unified Communications, Network Packet Capture, and Aternity for Intel Thunderbolt and Wi-Fi. These modules are designed to provide comprehensive insights into network performance, facilitating more effective monitoring and troubleshooting.
The integration of sentiment analysis into Aternity's Intelligent Service Desk capabilities represents another significant advancement. By analyzing user feedback through Sentiment Surveys, IT teams can prioritize and resolve issues more effectively, enhancing overall user satisfaction. Customizable runbooks further enable sophisticated, automated remediation processes, reducing the need for human intervention and accelerating issue resolution.
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