IM Motors – Full-Stack Observability Driving Intelligent Operations and Cost Optimization IM Motors successfully implemented the Bonree ONE integrated intelligent observability platform and adopted FinOps to transform its cloud resource management—from one-time procurement to continuous operations—fostering deep collaboration across technology, business, and finance. In recent years, China’s automotive industry has entered a phase of transformation and upgrading, with intelligent and connected technologies becoming the core drivers of industry development. The accelerated research, development, and application of technologies such as the Internet of Vehicles and autonomous driving are propelling the advancement of the "four major trends": electrification, intelligence, connectivity, and shared mobility. China continues to lead globally in the field of new energy vehicles. The Intelligent Vehicle Innovation Development Strategy, released in 2020, clearly states that by 2025, China aims to achieve mass production of conditionally autonomous intelligent vehicles and promote the market adoption of highly autonomous driving technologies in specific scenarios. Based on this vision, domestic automakers are accelerating their digital transformation through technologies such as cloud computing, containerization, and microservices, driving the deep integration of intelligence, connectivity, and service-oriented architectures. However, digital transformation also brings challenges related to system stability, performance bottlenecks, and potential risks. In the face of fierce market competition, automakers must enhance their technological capabilities to seize the opportunities of technological change and achieve sustainable development. Against this broader backdrop, IM Motors achieved remarkable growth in 2024. Annual sales climbed to 65,500 vehicles, while investment in core technology R&D also showed strong upward momentum. IM Motors has consistently prioritized core technological innovation as a strategic focus, continuously optimizing its cloud architecture. By integrating over 70 types of cloud resources, 30+ network lines, and more than 1,000 systems, the company has significantly enhanced the scalability and stability of its platform. 1. In IM Motors' hybrid cloud environment, the complexity of operations and maintenance has increased significantly Due to the heterogeneity of cloud platforms, the company’s product architecture must support complex multi-cloud scenarios and ensure efficient collaboration across different cloud resources. Achieving observability across cloud platforms, ensuring system stability, and enabling rapid issue identification have become core challenges. Additionally, cost management in a hybrid cloud environment has grown more complicated—IM Motors must optimize resource usage across various cloud providers to avoid unnecessary expenses. In terms of security and compliance, strict measures must be taken to ensure data encryption, access control, and regulatory compliance. Overall, IM Motors faces multiple challenges in operating, monitoring, securing, and managing costs in its hybrid cloud environment. 2. Lack of Unified Understanding and Approach to Observability Development Although the concept of observability has evolved rapidly in the cloud-native era, many enterprises still view it through the lens of traditional monitoring methods and lack a comprehensive understanding of its full scope and application scenarios. Previously, IM Motors was still in the early stages of adopting and practicing observability, with no unified understanding or clear implementation roadmap. As a result, there were shortcomings in effectively implementing observability technologies and adopting best practices 3. Complex Business System Troubleshooting Is Difficult, Impacting Customer Experience IM Motors' business spans the R&D, manufacturing, and sales of both components and complete vehicles, as well as automotive services and trade. These business areas are deeply intertwined and supported by numerous systems. When an IT system or a related link encounters a failure, customers accessing products through various platforms and applications are the first to experience error messages. Traditionally, after receiving a fault complaint, the IT team must manually check networks, applications, databases, and hosts across all related systems one by one. This time-consuming process significantly degrades the customer experience and has a serious impact on business operations. 1. Unified Infrastructure Management – Multi-Cloud on a Single Platform The Bonree ONE integrated intelligent observability platform empowers IM Motors to achieve full-link tracking and performance analysis of business requests, building a unified multi-cloud management platform. It enables centralized management of heterogeneous cloud resources and facilitates the inspection of multiple applications across different cloud infrastructures. This helps the company quickly identify and locate application failures, improve troubleshooting efficiency, and enhance cloud service performance for IM Motors. 2. Unified Infrastructure Management – Automated Operations The Bonree ONE platform provides users with end-to-end observability, enabling automated management across the entire technology stack. By automating the full lifecycle—from application deployment, updates, configuration, and management to data collection, monitoring, service lifecycle management, and fault diagnosis—it significantly improves IT operations efficiency, ensuring unified infrastructure management and highly efficient operations 3. Multi-Layer Topology and Monitoring With Bonree ONE, IM Motors has implemented multi-layer topology mapping and monitoring, comprehensively recording the entire lifecycle of request processing from receipt to completion. For example: Interface Optimization: The platform enabled real-time monitoring of request chains and successfully identified a timeout issue with the app's front-end OTA query interface. The root cause was traced to insufficient database connections, which was resolved through interface code optimization. Stress Testing Scenarios: During concurrent stress testing, Bonree ONE helped the team locate SQL execution delays in the big data service database and proposed a throttling optimization solution. Root Cause Analysis: The platform resolved B-end query timeout issues by identifying and eliminating circular calls. In C-end services, it accurately pinpointed the cause of a front-end error, which was due to an incorrect vehicle-user binding relationship, and provided a resolution plan 1. IM Motors has successfully transformed its cloud resource management from a “one-time purchase” model to a “continuous operation” model By adopting the Bonree ONE integrated intelligent observability platform and leveraging FinOps, IM Motors has driven deep collaboration across technology, business, and finance. With Bonree ONE’s powerful data processing capabilities and multidimensional observability, IM Motors achieves precise cloud cost optimization, effectively forecasting and controlling future expenses while ensuring efficient cloud resource usage and financial transparency. At the same time, IM Motors implements in-process monitoring and anomaly visualization, enabling real-time tracking of cloud resource usage and timely identification of potential issues. This supports IM Motors’ commitment to “continuous operation,” optimizing organization, culture, processes, and automation, thereby achieving comprehensive resource optimization alongside sustainable business growth. 2. Cloud platform basic resource costs reduced by 30% By leveraging the Bonree ONE integrated intelligent observability platform, IM Motors has achieved a 30% cost saving on cloud platform basic resources. The platform provides cost visualization, usage data, and trend forecasting, and uses dimensional classification to accurately identify and highlight cost waste. This helps IM Motors optimize resources, enhance elastic forecasting and scheduled elasticity capabilities, further improving resource allocation efficiency, ensuring the implementation of flexible billing solutions, and comprehensively strengthening cost control 3. Fault detection and root cause identification time reduced by 80% After integrating the Bonree ONE unified intelligent observability platform, operations and business teams can quickly review session records for the fault period upon receiving an incident report, promptly identifying the issue as a frontend problem. By further drilling down into call chains and service metrics, they accurately pinpoint backend execution anomalies and share detailed trace information with backend colleagues. Backend team members can directly view error trace calls, service metrics, and slow database queries through linked metric dashboards. Ultimately, the team quickly confirmed the problem and provided a solution, reducing fault diagnosis time from 120 minutes to 20 minutes, greatly improving problem identification efficiency and response speed. In a multi-cloud environment, IM Motors has achieved a comprehensive transformation from “cloud resource management” to “continuous operations,” significantly improving cloud resource utilization efficiency, cost control capabilities, and fault diagnosis speed. Through precise cost optimization and automated operations, IM Motors has enhanced overall operational efficiency and sustainability while ensuring system stability. This lays a solid foundation for advancing the deep integration of intelligence, connectivity, and service. Looking ahead, IM Motors will continue to deepen technological innovation based on observability and cloud resource optimization, continuously strengthening its global competitiveness in the smart automotive sector and leading the intelligent revolution in future mobility.