Riverbed Console Overview

Riverbed Console is the main entry point for Riverbed Technology's observability and AIOps (Artificial Intelligence for IT Operations) capabilities. Whether you are evaluating the platform, onboarding a new team, or need a high-level map before you dive into setup or navigation, this topic gives you that orientation. It explains what the Console is, what it provides, and how the main parts fit together so you can decide where to focus next.

What Riverbed Console is

Riverbed Console unifies data, tools, and AIClosed Artificial Intelligence. Technology that applies intelligence and automation to observe environments, detect anomalous behavior, and execute automated investigations. in a single UIClosed User Interface. The visual components and controls that users interact with to access features and manage the system.. It brings together multiple Riverbed Technology products so you can see network and application performance in one place, troubleshoot faster with AIClosed Artificial Intelligence. Technology that applies intelligence and automation to observe environments, detect anomalous behavior, and execute automated investigations.-powered insights, and automate detection and remediation instead of relying only on manual alerting.

What the platform provides

The platform delivers unified observability through a data analytics pipeline and a full set of automation capabilities that surface critical issues and run automated investigations. You get a modern, consistent experience across analytics, incidentsClosed A collection of one or more related triggers. Relationships that cause triggers to be combined into incidents include application, location, operating system, or a trigger by itself., runbooksClosed An automated workflow that executes a series of steps or tasks in response to a triggered event, such as the detection of anomalous behavior generating an incident, a lifecycle event, or a manually executed runbook., and workspaces, with AIClosed Artificial Intelligence. Technology that applies intelligence and automation to observe environments, detect anomalous behavior, and execute automated investigations.-powered insights to speed up problem resolution.

Main parts of the platform

Workspaces

Workspaces are interactive, customizable environments for analyzing network and application data. Use the Library to browse expert-built and user-built workspaces. Use Navigator (Data Forensics) for unscripted troubleshooting workflows and to inspect data across the Riverbed Technology data store. Workspaces can cover endpoint network troubleshooting, digital employee experience, cloud observability, network performance, NPM+ traffic, UC module traffic, and application performance, depending on your data sources and configuration.

Riverbed IQ Ops

Riverbed IQ Ops is the core AIOps solution. It observes and models your environment, detectsClosed One or more indicators that are correlated and may act as a trigger for incident creation or runbook execution. anomaliesClosed An unexpected event or measurement that does not match the expected model. through analytics, correlates related events to reduce noise, and surfaces incidentsClosed A collection of one or more related triggers. Relationships that cause triggers to be combined into incidents include application, location, operating system, or a trigger by itself. with full context. It runs automated investigations to assess impact and streamline remediation. Data is collected from multiple data sourcesClosed A product in your network that forwards data to the system. This data can be streaming data used to detect anomalies and generate incidents, or data that can be fetched on demand when runbooks are executed. (including Riverbed AppResponse, Riverbed NetProfiler, Riverbed NetIM, Aternity, NPM+, and third-party tools) via an edge gateway that keeps on-premises and cloud communication secure. The ingest and analytics pipeline supports real-time monitoring, and the correlation engine groups related events. IncidentClosed A collection of one or more related triggers. Relationships that cause triggers to be combined into incidents include application, location, operating system, or a trigger by itself. management is tied to automated runbooks so you can respond consistently without manual steps alone.

Runbooks

Runbooks are automated workflows built in a low-code editor. Incident automations run when new incidentsClosed A collection of one or more related triggers. Relationships that cause triggers to be combined into incidents include application, location, operating system, or a trigger by itself. are created. Lifecycle automations triggerClosed A set of one or more indicators that have been correlated based on certain relationships, such as time, metric type, application affected, location, or network device. on specific incident events. On-demand and scheduled runbooks run manually or on a schedule. External runbooks respond to APIClosed Application Programming Interface. A set of protocols and tools that allows different applications to communicate with each other, enabling runbook execution and data retrieval from external systems. or webhook calls. SubflowsClosed A reusable automation chunk that performs frequently used functions, such as opening a ticket in an external system, and can be used to implement integrations with third-party systems. are reusable building blocks you can share across runbooks.

Packet Capture Module

The Packet Capture Module (PCM) provides host-based packet capture for critical troubleshooting. It captures continuously from active interfaces, keeps a rolling buffer on devicesClosed An entity type representing network devices or hardware components deployed in the customer environment that are monitored for performance and anomalies., and lets you control capture remotely. You can transfer captures securely to your own PCAP repositories and open them in tools such as Wireshark or Riverbed Technology analyzers.

How it fits together

Your environment contributes devicesClosed An entity type representing network devices or hardware components deployed in the customer environment that are monitored for performance and anomalies., applicationsClosed An entity type representing software applications deployed in the customer environment that are monitored for performance and anomalies., servers, network equipment, and cloud resources, plus data from monitoring tools that you add as data sourcesClosed A product in your network that forwards data to the system. This data can be streaming data used to detect anomalies and generate incidents, or data that can be fetched on demand when runbooks are executed.. The platform side includes the edge gateway (secure link between on-premises and cloud), multi-source data collection, an analytics engine for anomalyClosed An unexpected event or measurement that does not match the expected model. detection, a correlation engine for grouping events, incident management, and the automation engine that runs runbooks. Together, that flow gives you a single view of performance and automated detection and response.

Benefits at a glance

You get faster troubleshooting through AIClosed Artificial Intelligence. Technology that applies intelligence and automation to observe environments, detect anomalous behavior, and execute automated investigations.-powered insights and automation, less noise through correlation of related anomaliesClosed An unexpected event or measurement that does not match the expected model., a unified view of network and application data, automated investigations that assess business impact, and streamlined remediation. The Console offers a modern interface and a scalable SaaS model with regular updates.

Supported data sources

You can connect the platform to multiple monitoring tools. Supported sources include Riverbed AppResponse (v11.12+), Riverbed NetProfiler (v10.24.2+), Riverbed NetIM (v2.6.1+), Aternity, NPM+, and other third-party monitoring tools. Add and configure data sources from the Console; see Adding a Data Source for the procedure.