Phone:400-882-3320
Guance 
Customer context
ZEEKR is an intelligent-mobility technology brand. Its published Guance customer story describes a global operation that needed to observe multiple cloud environments, container clusters, and user-to-service paths through a shared workflow.
Separate open-source tools created separate entry points
SkyWalking, Prometheus, and ELK carried different signals, requiring responders to copy time, service, and environment context between tools.
Global growth expanded the operating and governance boundary
Multiple clouds, UAT and production systems, and teams in different regions required a consistent data boundary, alert context, and sensitive-field handling process.
Implementation
Bring Alibaba Cloud, Azure, and AWS into one operating view
ZEEKR sent metrics, logs, and object state from cloud platforms and container clusters to one platform, where teams could investigate by environment, service, and resource relationship.
Connect UAT, production, RUM, APM, and alerts
Real user activity and backend application traces shared the same context. Alerts could be routed to WeCom and Feishu so responders could continue into the relevant evidence.
Detect and mask sensitive fields in the data pipeline
Detection and masking rules for user- and device-related fields allowed teams to retain useful log and trace context while applying their defined data-handling controls.
What changed
Regional teams shared one observability context
Teams in China and Europe could work from the same service, time window, and anomaly evidence rather than maintain separate incident narratives.
The tool-maintenance surface was reduced
Bringing multiple signal types into one platform reduced duplicate open-source operating entry points and centralised collection and alert governance.
Sensitive-data handling gained an explicit boundary
Field detection and masking became part of the pipeline, supporting internal governance for data used across regional workflows.
