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Guance 
Customer context
Yang Guo Fu is a Chinese quick-service restaurant brand operating in China and overseas. Its published story describes a distributed technology environment spanning store operations, supply-chain processes, and digital services.
Apps, WeChat mini programmes, web, and POS supported ordering, payment, inventory, and delivery workflows. When channel data remained separate, user reports, application anomalies, and store state could not form one operating view.
A lean team needed denser operating context
Operators needed fewer entry points for understanding service and infrastructure state across stores and regions.
Issue discovery depended on reactive reports
When a user or store reported an anomaly first, the technology team lacked continuous telemetry from before and after the event.
App, mini-programme, web, and POS data were separate
Requests across channels and backend services could not be joined around one business flow, obscuring technical impact.
Implementation
Collect metrics, logs, and traces together
DataKit and Pipeline collected, processed, and normalised metrics, logs, and traces from different sources before analysis in one platform.
Connect causes, performance baselines, and business impact
Object relationships and time context supported anomaly analysis, baseline review, and mapping technical signals to the affected business process.
Start with prebuilt monitoring views
Views for common middleware, databases, and service frameworks provided a starting point that the team could adapt to its own architecture and business signals.
What changed
Alerts gained operating context
Anomalies could be reviewed with the relevant service, store system, and data source to assess likely impact.
Complex issues became easier to narrow
Connected metrics, traces, and logs let responders continue along the request and dependency path.
Regional system health entered a shared view
Technology and business dashboards exposed health and anomaly trends across channels.
Capacity discussions gained runtime evidence
Performance baselines and resource trends supplied reviewable evidence for capacity and configuration decisions.
