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CUSTOMER STORY

Detect service issues before store feedback becomes the starting point

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ABOUT YANGGUOFU

About the customer

Founded in 2003, Yang Guo Fu Malatang is a Chinese restaurant chain serving customers in China and overseas. Its apps, mini programs, and websites connect ordering, payments, inventory, and store management, making reliable digital services essential to coordinating stores across regions.

Restaurant chains Industry
Malatang dining Business focus
Stores and digital orders Serves

With Guance, we gained full-stack observability and a unified view of our data.

Wu ShileiHead of Infrastructure, Yang Guo Fu Malatang

The challenge

A lean team needed earlier visibility across distributed stores

Chain operations depend on several endpoints and backend systems. Yangguofu's operations team needed to know which services were affected, understand the business impact, and narrow the investigation quickly.

01

When the first signal came from a store or user, teams still had to collect surrounding records. Missing history added communication and waiting to remote investigations.

02

Requests, backend services, and resource health appeared in separate places, making it harder to distinguish application errors, slow dependencies, and capacity issues.

KEY RESULTS

30%

Expected reduction: Issue detection time

30%

Expected reduction: Remote diagnosis time

15%

Expected reduction: Monitoring maintenance effort

Customer interview

Yang Guo Fu · Customer interview

Detect service issues before store feedback becomes the starting point

SOLUTION

Yang Guo Fu × Guance — Solution

01

Keep a continuous record of everyday operations

Metrics, logs, and traces use a common collection workflow and standardized fields. Teams can review changes around an incident instead of rebuilding its context from a single report.

30%

Expected reduction: Issue detection time

Bringing application traces, metrics, and logs together through DataKit
02

Assess impact along business requests

Service calls, performance baselines, and infrastructure changes are correlated to identify the affected stage and connect technical symptoms with relevant business workflows.

30%

Expected reduction: Remote diagnosis time

Investigating an alert with correlated diagnostic context
03

Reuse monitoring views to reduce routine work

Built-in views for common middleware, databases, and service frameworks provide a starting point. Teams adapt monitoring and alerts to their business and focus effort on rule quality and response.

15%

Expected reduction: Monitoring maintenance effort

BUSINESS IMPACT

Support service reliability across stores with continuous operational evidence

01

Incident response gains more than verbal reports

Continuous metrics and logs give alerts context and preserve the records needed for remote investigation.

02

Business impact helps guide the investigation

Shared service and call views help technical teams decide which systems need checking, reducing trial-and-error navigation.

03

Capacity decisions use actual load trends

Resource trends and performance baselines help teams assess whether configuration changes address a real bottleneck.

Build observability around your business

Work with Guance to connect telemetry, investigate service issues, and give teams shared operational context.