Riverbed has announced a series of updates to its observability platform, introducing new AIOps capabilities and additional data collection modules. These enhancements are designed to support IT teams in addressing visibility gaps, improving operational efficiency, and managing increasingly complex digital environments.
The announcement includes the integration of Generative AI, Predictive AI, and Agentic AI into the Riverbed Platform, as well as the release of three new modules for the Riverbed Unified Agent. The updates extend the platform’s ability to deliver real-time insights, automate incident management, and streamline observability across enterprise infrastructure.
Expanded AIOps Capabilities
Riverbed’s AI updates are centered around the Riverbed Data Store and IQ Ops, enabling automated analysis and response:
Unified Agent Modules
To support more comprehensive data collection and eliminate blind spots, Riverbed introduced three new modules for its Unified Agent:
Additional enhancements were also introduced for cloud-native and virtual desktop environments. These include support for Kubernetes microservices and expanded visibility into multi-session virtual desktop infrastructures, with integrations across major platforms.
Smart OTel™ and Enterprise Data Integration
Riverbed’s platform now includes Smart OTel™, a refined implementation of the OpenTelemetry standard. Smart OTel filters and exports selected data from the Riverbed Data Store to enterprise data platforms. It also supports the conversion of third-party telemetry into OTel-compliant formats and applies Riverbed AI automation before export.
This approach allows IT teams to control the volume and relevance of observability data flowing into downstream systems, reducing unnecessary overhead while supporting data-driven projects.
Platform Architecture
The Riverbed Platform consolidates observability across network, application, endpoint, cloud, and user experience layers. It is built on an open architecture that integrates with third-party tools and enables AI-powered automation through Riverbed IQ Ops. The platform is designed to reduce operational silos, simplify IT toolsets, and provide visibility into distributed environments. The company also reported increased adoption of its AI capabilities, citing growth in automated remediation activity and ongoing use among organizations with large-scale IT operations. Customers across sectors—including large financial institutions and mid-sized enterprises—have reported measurable reductions in helpdesk tickets and IT support costs.
As Riverbed continues to evolve its observability platform, today’s announcements mark a crucial step in supporting enterprise IT teams looking to reduce complexity, improve performance reliability, and leverage automation more effectively.
