As a leader in AI-driven intelligent observability, Bonree continues to empower digital transformation across industries with its Bonree ONE platform. This collaboration with Inner Mongolia Civil Aviation Airport Group Co., Ltd. (hereinafter referred to as “Inner Mongolia Airport Group”) represents another benchmark case of observability practice in the transportation and civil aviation sector.
Inner Mongolia Airport Group is a key regional aviation hub operator managing multiple airports. Its IT systems cover a wide range of business scenarios, including flight operations, passenger services, ground support, security management, and cargo logistics. With continuous business expansion and deepening digital transformation, the group’s IT architecture has become increasingly complex.
Application systems involve multiple programming languages, including PHP, Node.js, C++, Python, Go, .NET, and Java, with highly complex inter-system dependencies.
Passenger endpoints are increasingly diverse (mini programs, Android, iOS, etc.). Traditional infrastructure monitoring tools are unable to provide visibility into application-level service quality.
As a result, incident troubleshooting often requires coordination across multiple departments, involving network, logs, data, and even code-level analysis, leading to long resolution cycles and low efficiency.
.
Bonree, powered by the Bonree ONE platform, has built a “System Status Monitoring and Operations Management Platform” for Inner Mongolia Airport Group, deploying 200 monitoring agents covering core business systems.
As a leading integrated intelligent observability platform, Bonree ONE provides full-stack monitoring, intelligent alerting, and root cause analysis capabilities, transforming massive operational data into clear business insights.
Full-Stack Application Performance Monitoring
The platform supports performance monitoring across major programming languages such as PHP, Node.js, C++, Python, Go, .NET, and Java, enabling end-to-end visibility from code to business.
Monitoring metrics cover key components including:
JVM, Java Method, URL, Exception, Tomcat, HttpClient, MySQL, Redis, Elasticsearch, and Kafka.
This ensures every layer of core airport systems remains visible and controllable.
Intelligent Topology Discovery and Visualization
The platform automatically discovers application dependencies and generates topology maps, visually presenting service relationships and data flows across airport systems.
It supports:
Global topology view
Dependency trend analysis
Drag-and-drop customization and saving of topology views
This enables operations teams to tailor visualization based on management needs.
Code-Level Performance Profiling and Fault Localization
The platform provides code-level profiling capabilities to monitor memory usage, CPU consumption, and latency in detail.
It can dynamically capture:
Function input/output parameters
Thread states, stack traces, and blocking sources
Class object parameters
This enables rapid identification of performance bottlenecks and root causes at the code level.
Business Chain Analysis and User Experience Monitoring
The platform supports URL-level chain analysis and business topology tracking.
It allows business parameters (such as userId) to be identified via request headers, cookies, and URL parameters, enabling precise tracing of key business processes.
It also supports:
Web performance monitoring (page load, JS performance, API performance)
Mobile application monitoring (crashes, lag, errors) across Android and iOS
This ensures comprehensive protection of passenger digital experience.
Intelligent Alerting and Configuration Management
The platform supports:
Metric-based alerting
Aggregated data alerts
Post-calculation metric alerting
It includes alert noise reduction and automation capabilities, significantly reducing false positives and redundant alerts.
Configuration changes can be:
Dynamically pushed and applied in real time without restarting applications
Managed via tags, environments, or global templates
The platform also provides open APIs (ONE-API) for third-party integration and customized scenarios.
A unified observability system covering multiple languages and components was established, enabling end-to-end visibility from passenger experience to backend services and from code to business operations.
Through automated topology and code-level diagnostics, incident resolution efficiency was significantly improved, ensuring the continuity and stability of airport systems.
With intelligent alerting and flexible configuration, operational complexity was reduced, shifting the operations model from reactive firefighting to proactive prevention.
This data-driven approach has laid a solid technological foundation for the airport group’s digital transformation.
Strong Technological Leadership
Bonree holds:
60 authorized invention patents
136 software copyrights
32 core proprietary technologies
Strong Industry Capability
Member of the China Academy of Information and Communications Technology (CAICT) AIOps Standards Working Group
Ranked No.1 in China APM (Application Performance Management) and observability market share for consecutive years
