Customer background

Changan Automobile is one of China's four major automotive groups, with a 162-year history and 40 years of car-making experience, and operates 14 manufacturing bases and 34 factories worldwide. It owns independent brands such as Changan Passenger Cars, UNI, Changan New Energy, Oshan Auto, and Kaicheng Auto, as well as joint venture brands like Changan Ford and Changan Mazda. Its products cover passenger cars, commercial vehicles, new energy vehicles, and other fields, including classic models like the CS series, Eado series, and UNI-T.

With the rapid development of Changan Automobile's digital business, the stability of system monitoring and operation faces the following issues:

Monitoring tools are scattered and not unified

Changan Automobile currently has a wide variety of monitoring tools and lacks a unified management platform, resulting in low fault location efficiency and inability to respond quickly and resolve issues.

System status cannot be fully controlled

Existing systems cannot provide a global view and lack unified monitoring dashboards, making it difficult for management to understand system status in real time, which affects decision-making and management.

Solutions

A unified monitoring system

By Guance building a comprehensive unified observability platform, formulating unified data specifications and interface standards, Changan Automobile's business systems and departments were originally scattered and using different technology stacks for monitoring solutions.

At the data level, through processes such as data collection, cleaning, and transformation, data from different sources is consolidated into a unified format on the platform to ensure data consistency and availability. It completely changes the previous chaotic situation of fragmented monitoring systems, resolving the problem of chaotic monitoring standards caused by inconsistent monitoring technology stacks, standardizing and normalizing monitoring effectiveness, and improving overall monitoring quality. At the same time, it reduces the labor and material costs incurred when maintaining various technology stack monitoring solutions, lowering the overall operational burden.

By unifying data and technology stacks, a convenient foundation is provided for subsequent data correlation analysis and issue traceability, greatly improving overall operation efficiency and system stability, and ensuring smooth and orderly business operations.

Comprehensive observability

Through access Guance, it comprehensively covers multi-dimensional monitoring data such as infrastructure, middleware, application services, logs, and user access. It also achieves coverage and seamless integration in multi-cloud environment monitoring, aggregating all monitoring data at all levels onto the Guance platform, enabling clear and comprehensive insight into the overall internal operating environment, providing a data foundation for ensuring stable system operation and enhancing user experience.

Full-center business availability dashboard

A comprehensive business availability dashboard is established, leveraging the data authorization capabilities of workspaces to flexibly authorize and share data from multiple scattered workspaces according to actual business needs, integrating and consolidating them into a unified workspace. On this basis, a leadership cockpit dashboard is created, allowing a clear understanding of resource utilization from the perspective of the entire business department, providing comprehensive insight into the operation of each business system, including key performance indicators such as response time and error rate.

Customer outcomes

Improved monitoring coverage:

The implementation of a unified monitoring system has greatly increased monitoring coverage, with all application systems included in the monitoring scope to ensure system stability.

Improved team collaboration efficiency:

The use of unified Kanban boards and monitors improves team collaboration efficiency, reduces communication costs and time, and speeds up problem resolution.

Improved resource utilization:

By applying big data component monitoring and aggregation dashboards, Changan Automobile can utilize resources more efficiently, reduce operating costs, and improve overall cost-effectiveness.

Changan Automobile Guance