CUSTOMER STORY

Reduce log costs by about one third and identify service issues faster

ABOUT PEET'S COFFEE

About the customer

Peet’s Coffee is a coffee brand founded in the United States, known for its coffee products, roasting, and store experience. In China, it serves consumers through physical stores, its official online shop, and ecommerce channels, with applications, log analysis, and third-party interfaces supporting coordination across channels.

Coffee retail Industry

Coffee and beverages Business focus

Stores and digital channels Serves

The challenge

Growing logs and third-party failures added cost and investigation work

Peet's Coffee's stores and online services continually produce runtime data. The team needed to manage log storage and administration costs while distinguishing internal application issues from third-party failures.

Dispersed logs added search, correlation, and manual analysis work. Growing data volumes also increased ongoing storage and management pressure.

An API error alone could not establish the cause. Development and operations needed complete call relationships, external responses, and specific error details.

KEY RESULTS

~1/3

Lower log storage and management costs

50%+

Issue investigation efficiency improvement

20%

Expected reduction in cross-team incident coordination hours

SOLUTION

Peet’s Coffee China × Guance — Solution

Use call topology to understand service relationships

Application traces enter through a data gateway and automatically expose service relationships. Response times and error rates help teams identify the affected stage.

50%+

Issue investigation efficiency improvement

Store and cloud telemetry collected through a gateway into Guance

Inspect third-party errors from the affected request

APM connects external calls with error details so development and operations can review the same evidence and reduce repeated checks of service ownership.

20%

Expected reduction in cross-team incident coordination hours

Search and analyze logs in a common platform

Store and online-service logs connect to traces and resource health. Teams reduce the manual work of moving, finding, and assembling records.

~1/3

Lower log storage and management costs

BUSINESS IMPACT

Control log spending and make service issues easier to identify

Cloud log storage and management costs fell by about one third on average

Unified log analysis reduced cloud log storage and administration costs alongside manual analysis work.

Issue-identification efficiency increased by at least 50%

Traces, external calls, and error details can be reviewed together, allowing development and operations to investigate the same request.

Service quality remains available for review

Topology, errors, and response-time trends provide comparable operational records for service launches and everyday investigations.

Build observability around your business

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