Optimizing IT with Riverbed IQ: Data Science Enhancements for Smarter Operations

Over the past few months, Riverbed has introduced exciting upgrades to Riverbed IQ, our SaaS AI for IT Operations (AIOps) platform, delivering powerful new features designed to boost flexibility, usability, and performance. These updates allow customers to fine-tune their data sources for more precise AI-driven analysis, make automation workflows more adaptable, and take advantage of an Integration Library packed with 35 prebuilt integrations. Also, various usability enhancements further streamline IT operations and improve efficiency. There’s so much to dive into that we’ve divided it into a four-part series.

In this first part, we’ll explore the groundbreaking data science enhancements that are redefining how organizations choose, manage, and analyze their data sources. Part 2 will focus on features like on-demand and scheduled automations, Subflow versioning, and global variables, which provide a significant boost to automation capabilities. In Part 3, we’ll dive into the Integration Library and other enhancements, and in Part 4, we’ll explore the latest advancements in Analytics and Automation UI/UX.

Let’s begin with the innovations in data science that are transforming the management of complex IT environments.

Query specific data sources from automation Vantage Points

Vantage Points are a standout feature that allow Riverbed IQ users to prioritize and query specific data sources directly from automations. By choosing Vantage Points as strategic data collection locations, teams gain enhanced visibility and control over complex IT environments. These vantage points enable IQ automations to trigger queries based on pre-defined conditions or inputs, gathering real-time insights from various sources like Riverbed AppResponse. This ability to streamline data collection and analysis improves troubleshooting, reduces manual intervention, and accelerates time-to-resolution, dramatically improving operational efficiency.

App-Location preference

With the App-Location preference feature, users can choose their preferred data source within Riverbed IQ based on operational needs – currently, between AppResponse and NetProfiler. This feature lets customers dynamically decide which data source informs which decisions, ensuring teams access the most relevant insights for each use case. AppResponse specializes in detailed application analytics, while NetProfiler focuses on flow data for broader network performance. By setting preferences, Riverbed IQ dynamically taps into the most effective tool for each situation, enhancing monitoring accuracy and performance optimization.

N of M / Global Thresholds configuration for causal and predictive AI

The N of M / Global Thresholds configuration empowers users to manage how indicators are generated using Riverbed IQ’s causal and predictive AI capabilities. With the “N of M” approach, the system triggers alerts only when a specified number of thresholds are breached, minimizing false positives and ensuring that only critical anomalies are flagged. Users further enhance this capability through Global Thresholds, which centralizes the management and customization of thresholds across diverse metrics, services, and network environments. Together, these configurations enable users to make Riverbed IQ’s AI-driven insights more precise, contextual, and actionable for proactive issue management.

Analytics & Threshold configuration

Riverbed IQ’s new Analytics & Threshold configuration page gives users even more visibility into the data analytics pipeline, offering the ability to manage key measurements—devices, interfaces, applications—and tailor threshold configurations. Users can enable or disable processing on specific measurements and fine-tune thresholds to better fit their unique environments. By giving IT the ability to refine analytics configurations, Riverbed IQ ensures more accurate anomaly detection and performance management, empowering organizations to tailor insights and automations to their specific operational needs.

Setting the stage for smarter data management

The data science enhancements in Riverbed IQ mark a significant leap forward in how organizations can manage and refine their data for AI-driven analysis. From the flexibility to query specific data sources via Vantage Points to the powerful configuration of AI thresholds, these updates make it easier than ever to reduce false positives and gain actionable insights from complex environments.

Stay tuned for Part 2, where we’ll explore the automation enhancements that are set to further transform IT operations. The future of smarter, more efficient AI-driven automation is here, and Riverbed IQ is leading the way!