Full-Stack and Full-End Observability
Bonree ONE comprehensively covers monitoring scenarios such as DEM, APM, ITIM, and NPM, achieving full-stack observability from digital experience and application services to infrastructure. The global topology adopts a system-level perspective, drilling down layer by layer to consolidate all observability elements and establish topology-centric operational scenarios.
Intelligent Data Analysis
Bonree ONE correlates data lineage across time and space, enabling the tracing of user sessions or metrics to logs and links, from links to code stacks and errors, and from code stacks to entities. In addition, it allows the visualization of upstream and downstream calls, as well as vertical dependencies for any entity. This provides a global insight at both macro and micro levels.
Distributed Link Tracing
Bonree ONE integrates code, topology information, and metadata to identify each microservice's execution status. This allows for the quick identification of problems through comprehensive, full-sample, and full-link call chain tracing.
Two-Stage Adaptive Root Cause Analysis
This two-stage adaptive root cause analysis integrates unsupervised knowledge graphs and deep analysis, accurately identifying the propagation path of faults and pinpointing their root cause without the need for algorithm tuning or manual labeling.
Fully Managed Adaptive Intelligent Alerting
The ready-to-use anomaly detection rules can be adapted to the training and learning within the customer's actual environment. This ensures high accuracy and low noise in anomaly detection and emergency management.
Well-Designed and Useful Dashboard
By simply dragging and dropping the cards, users can leverage the built-in functions to aggregate and process data. This allows them to quickly build a personalized monitoring dashboard that meets the diverse demands of operational analysis.
Bonree Agent
Configuration-Free Integrated Smart Probes
With 14 years of experience in big data collection, we efficiently manage smooth upgrades for both our own and third-party probes. In addition, we monitor applications within containers and processes on the host. Our 500+ native technical frameworks support the collection of all necessary data and facilitate data reporting from 200,000+ probes. This enables automatic detection, installation, and monitoring, positioning us as an industry leader in terms of reliability and comprehensiveness.SuperTrace
Online Intelligent Analysis Technology for Application Performance
This technology enables full-link automatic tagging and tracing from the front end to the back end, as well as automatic correlation of deep diagnostic call chains. It identifies performance anomalies, enables in-depth problem diagnosis, and provides clear, actionable insights, making it easier for customers to analyze data and make informed decisions.OneIntegration
Low-Code Streaming Data Integration Technology
By using a drag-and-drop interface to build tasks, various types of observable data can be easily accessed. This enables seamless conversions between different data types and the automatic creation of integrated data models.Zeus
Multimodal Big Data Query Engine
Bonree has independently developed a robust data engine with stable and powerful middleware - Middle Platform capabilities. This engine is designed to support efficient intelligent operations based on customer demands.SmartTopo
Intelligent Construction Technology of Entity Relationship Topology
This technology automatically derives the relationships within an IT system architecture from observed data, eliminating the need for manual configuration. It also updates and displays the topology and relationships in real time.Swift AI
Adaptive Generative AI Technology
Powered by over 170 technologies, Swift AI incorporates exclusive "unsupervised knowledge graph" root cause analysis algorithm. In addition, it features an alarm convergence algorithm with a normalized convergence rate of 98%.Establishing a Unified Observability Platform through the Governance of Monitoring Systems
To ensure comprehensive monitoring without blind spots and effective troubleshooting, enterprises have deployed numerous monitoring tools tailored to specific objects. However, as digital systems become more complex, monitoring systems can become chaotic and difficult to manage. The data and metrics often lose clarity, with low values that make it hard to pinpoint problems. The Bonree ONE platform integrates various monitoring data and metadata in a cohesive and standardized manner. It effectively addresses issues such as redundant construction, maintenance challenges across various tools, and the low-value nature of massive datasets.
Ensuring and Enhancing User Experience, Full-Stack Monitoring, Team Goals
In today's digital economy, ensuring and enhancing the user experience is crucial and should be considered a collective goal for the entire team. To achieve this, all aspects of the digital system must be monitored and managed for a better user experience. This makes it essential to monitor the full stack, which includes terminals, networks, clouds, edges, services, components, etc. It is important to understand the contribution and impact of each link on user experience on the basis of full-stack monitoring. The Bonree ONE platform monitors all elements that affect user experience, improving working efficiency through its correlation tracing and intelligent insights.
Building an Observable Platform Adaptable to Cloud-Native Environments
While cloud-native technologies like Kubernetes - Kubernetes , containers, and service meshes improve software delivery efficiency, enterprises must also develop a monitoring platform that aligns with cloud-native principles. Traditional, fragmented monitoring tools are not adapted to handle the continuous updates and dynamic nature of cloud-native environments. The Bonree Agent in the Bonree ONE platform is perfectly designed to integrate with cloud native technologies, allowing customers to fully leverage the benefits of cloud-native technology.
High-quality, observable data and the self-developed SwiftAI platform make AIOps more practical.
Currently, the application of AIOps often falls short of user expectations, mainly due to low data quality and the limited adaptability of AI algorithms to various scenarios. The Bonree ONE platform unifies data governance, providing standardized, high-quality data. The SwiftAI middleware within the Bonree ONE platform combines technical expertise with advanced algorithms to adapt to common operation and maintenance scenarios. This enhances fault and anomaly detection, improves root cause localization, and delivers out-of-the-box AI capabilities.
IDC China Semiannual IT AI Operation Software Tracker, 2024H1
