Changan Automobile Guance

Connect infrastructure, applications, logs, user experience, and multi-cloud state with shared data standards

Shared telemetry standards
Full-stack and multi-cloud context
Business-availability dashboards

Customer context

Changan Automobile is a global mobility technology company spanning vehicle development, manufacturing, sales, and service. Its published Guance story describes fragmented monitoring stacks and data entry points as digital systems expanded.

The team needed a platform that could standardise technical data, support cross-system investigation, and present operating state to technology, business, and management users.

Monitoring tools and standards differed

Business systems used different stacks and monitoring methods, forcing responders to rebuild context across several tools.

Monitoring tools and standards differed

There was no shared operating view

Separate dashboards could not show how resource utilisation, response time, errors, and business availability related across systems.

There was no shared operating view

Implementation

Standardise telemetry and the monitoring workflow

Guance collected and processed data from different systems with shared field conventions, creating a common basis for correlation and investigation.

Cover infrastructure through user access

Infrastructure, middleware, application services, logs, real-user data, and multi-cloud resources entered one platform for environment- and service-level analysis.

Build business-availability and management views

Workspace authorisation supplied the required data to dashboards organised around business-system state, resources, and key performance signals.

Build business-availability and management views

What changed

Coverage extended across system layers

Resources, middleware, applications, logs, and user experience became part of a connected operating view.

Teams worked from the same evidence

Shared dashboards and monitoring context reduced the need to reinterpret the same anomaly between departments.

Operating data informed architecture decisions

Consolidated metrics and availability signals could support reviews of capacity, performance, and resource use.

Frequently asked questions

Why does the Changan story emphasise shared data standards?

Inconsistent fields, tags, and collection methods break cross-system correlation. Shared conventions provide a common service, environment, and resource model for queries and dashboards.

Which observability data does the story cover?

The published story describes infrastructure, middleware, application services, logs, user access, and multi-cloud data. The exact systems and data scope depend on the deployed configuration.

How does workspace authorisation support management dashboards?

It allows selected workspace data to feed a defined view organised by business system, resource, and performance signal. The organisation controls the underlying permission boundaries.

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