Bonree | Bonree One Intelligent Observability Platform

Product Features

Ask Your Systems Anything — Get Ops Answers in One Sentence

Deep Data Understanding：No data modeling needed. AI understands your metrics, logs, traces, and events, letting you explore data through natural conversation—automatically selecting the right sources, filters, and time ranges.
20+ Ready-to-Use Ops Scenarios：Generate inspection reports, incident reviews, and availability reports with one prompt. AI assembles the right charts and insights, savable as reusable templates or dashboards.
Intelligent Alerting & Fault Diagnosis：AI builds full incident context from metrics, logs, traces, and changes, pinpoints abnormal instances and services, then delivers root cause, impact scope, and recommended actions.

The AIOps Agent Workbench — From Questions to Action in One Conversation

A Unified Conversational Interface：Describe a task in natural language; Sage AI interprets intent and orchestrates the right models, tools, knowledge, Skills, and agents—no need to understand underlying data or workflows.
Ready-to-Use AIOps Agents：Built-in agents cover incident diagnosis, Q&A, reporting, and remediation, delivering actionable insights and complex tasks through simple conversation.
Open, Flexible, and Extensible：Connect external systems, APIs, and workflows; extend with custom tools, Skills, and agents. Flexible orchestration enables closed-loop operations from diagnosis to remediation.

Observe Every AI Interaction—Make Performance, Cost, and Failures Fully Visible

End-to-End Observability for AI Apps：Unified visibility across apps, agents, models, chains, tools, and tasks. Trace waterfalls reconstruct execution paths and latency breakdowns to quickly pinpoint bottlenecks and anomalies.
Model Performance & Token Cost Analytics：Track request volume, latency, error rates, and token consumption across apps and models. Compare models side by side to optimize selection, efficiency, and cost.
Session & Agent Collaboration Diagnostics：Correlate context, traces, LLM calls, and tool calls across multi-turn sessions. Collaboration graphs visualize latency, tokens, and calls at each step—surfacing slow conversations and workflow bottlenecks.

End-to-End APM—Find Bottlenecks and Resolve Issues Faster

Comprehensive Performance Monitoring：Track latency, throughput, and error rates across services, endpoints, and instances to detect anomalies and degradation in real time.
End-to-End Distributed Tracing：Trace requests across services, containers, and databases to visualize dependencies and pinpoint latency at every hop.
Code-Level Diagnostics：Identify slow methods, exceptions, and inefficient SQL for faster, more precise root cause analysis.

Full-Stack and Full-End Observability

Comprehensively covers DEM, APM, ITIM, NPM and other monitoring scenarios, enabling full-stack observability from digital experience to application services to infrastructure. Global topology takes a system-level perspective, allowing layer-by-layer drill-down, aggregating all observability elements, and establishing a topology-centric operations and maintenance scenario.

Intelligent Data Analysis

Correlates data lineage from both temporal and spatial dimensions, enabling seamless tracing from user sessions or metrics to logs and traces, from traces to code stacks and errors, from code stacks to entities, and from any entity to its upstream/downstream calls and vertical dependencies, achieving comprehensive insights from macro to micro levels.

Distributed Link Tracing

Combines code, topology information, and metadata to provide complete, full-sample, full-link call trace tracking, enabling faster understanding of each microservice's execution status and pinpointing the location of issues.

Unsupervised Root Cause Analysis

Employs a two-stage adaptive root cause analysis approach that integrates unsupervised knowledge graphs and in-depth analysis. Without the need for algorithm parameter tuning or manual labeling, it accurately identifies fault propagation paths and locates the root cause of failures.

Fully Managed Adaptive Intelligent Alerting

Built-in out-of-the-box anomaly detection rules that adaptively train and learn in the customer's actual environment, meeting the demands for high-accuracy, low-noise anomaly detection and emergency management.

Well-Designed and Useful Dashboard

With simple drag-and-drop of cards and the use of various built-in functions for data aggregation and processing, you can quickly build personalized monitoring dashboards. It also supports cross-data drill-down and navigation, catering to diverse operational analysis needs.

Core Advantages

Bonree Agent

Zero-Configuration Integrated Smart Agent

Backed by 14 years of innovation in large-scale data collection, our intelligent agent automatically discovers applications and processes, supports 500+ technology frameworks, and scales to over 200,000 agents. Automated deployment and monitoring deliver reliable, end-to-end visibility across complex IT environments.

SuperTrace

Intelligent Online Application Performance Analysis

SuperTrace enables automatic tagging, tracing, and deep diagnostics across the entire application stack, from frontend to backend. By automatically correlating distributed traces and service call chains, it identifies performance anomalies, uncovers bottlenecks, and performs in-depth root cause analysis. The platform delivers clear and actionable conclusions, helping teams analyze issues more efficiently and make faster, more informed decisions.

OneIntegration

Low-Code Streaming Data Integration

Integrate diverse observability data sources with ease through a drag-and-drop workflow builder. Transform and process data across different formats and sources, while automatically constructing a unified observability data model for seamless correlation, analysis, and insight generation.

Zeus

Multimodal Federated Query Engine

Powered by Bonree's proprietary data engine, this platform delivers a scalable and resilient data foundation for enterprise observability. By enabling real-time processing and federated queries across diverse data sources, it accelerates analytics and drives intelligent operational decision-making.

SmartTopo

Intelligent Topology Discovery and Mapping

Automatically discover IT system architectures and dependency relationships from observability data, eliminating the need for manual configuration. Real-time topology generation and continuous updates provide a dynamic view of services, infrastructure, and their interdependencies, enabling faster troubleshooting and impact analysis.

Swift AI

Adaptive Generative AI Technology

Built on over 170 core technologies, our AI platform leverages industry-leading unsupervised knowledge graph analytics and intelligent alert reduction capabilities. By automatically correlating events, identifying root causes, and reducing alert noise with up to 98% convergence, it enables faster incident resolution and more efficient IT operations.

Application Scenarios

Unified Observability Platform

Full-Stack Monitoring

Build a Cloud-Native Observability Platform

Bring AIOps into Real Operations

Govern Monitoring Practices with a Unified Observability Platform

To avoid monitoring blind spots and support effective troubleshooting, enterprises often deploy multiple monitoring tools across their IT environments. As systems become more complex, monitoring data becomes fragmented, difficult to manage, and less valuable for problem diagnosis. Bonree ONE brings together monitoring data and metadata from across the technology stack into a unified observability platform. By standardizing and correlating data, it reduces tool sprawl, eliminates redundant investments, improves data value, and enables faster, more accurate root cause analysis.

Align Teams Around Full-Stack Monitoring to Ensure and Improve User Experience

In the digital economy, ensuring and improving user experience has become the most critical objective and a shared goal across all teams. All monitoring across digital systems ultimately serves user experience, requiring full-stack observability that spans endpoints, networks, cloud, edge, services, and components. On top of this foundation, it is essential to understand how each layer contributes to and impacts user experience. With Bonree ONE, organizations can quickly instrument and monitor all user-experience-related layers out of the box. By leveraging its capabilities in correlated tracing and intelligent insights, Bonree ONE further improves operational efficiency and accelerates issue diagnosis and resolution.

Build a Cloud-Native Observability Platform

As enterprises adopt cloud-native technologies such as Kubernetes, containers, and service mesh to improve software delivery efficiency, they also need a corresponding observability platform designed for cloud-native environments. Traditional siloed monitoring tools are no longer suitable for the continuous delivery and highly dynamic, elastic nature of modern architectures. Bonree ONE, powered by the Bonree Agent, is fully optimized for cloud-native environments. It provides seamless compatibility with cloud-native technologies and enables end-to-end visibility across dynamic infrastructures, helping customers fully realize the benefits of cloud-native transformation.

High-quality observability data combined with Bonree’s in-house SwiftAI platform makes AIOps more actionable and practical in real-world operations.

AIOps often falls short of expectations in real-world adoption, primarily due to low-quality data and poor adaptability of AI algorithms across different operational scenarios. Bonree ONE addresses this challenge through unified data governance, standardizing and structuring observability data to significantly improve overall data quality. At the same time, its SwiftAI platform embeds domain expertise and advanced algorithms to adapt to common IT operations scenarios, enhancing anomaly detection and root cause analysis capabilities and delivering out-of-the-box AI-driven operations intelligence.

Bonree ONE

AI-Powered Unified Observability Platform

Bonree ONE Integrated Intelligent Observability Platform