Incident Management
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Dedicated compute keeps concurrent queries stable and complex analysis fast.
Learn moreAutomotive teams use Guance across digital and enterprise systems
Investigate connected services, mobile applications, cloud platforms, and production-related business systems with shared context.
Reduce tool switching during cross-system investigation
Connect app experience with APIs and dependencies
Give internal teams and suppliers shared evidence
Preserve the affected journey and time range while moving through configured user, service, runtime, and business-system evidence. Each collection path and control remains explicit.
Observed symptomUsers report loading loops or failed requests while app, gateway, and service teams see different dashboards.
Evidence to inspectSupported Mobile RUM, Session Replay, gateway logs, Java traces, Redis or MySQL metrics, and Kubernetes events.
ResponseNarrow the affected version, region, request, service, or dependency and hand off a reproducible evidence set.
Observed symptomAfter a rollout, selected versions or regions show slower updates, failed operations, or increased support cases.
Evidence to inspectVersion, region, device-safe dimensions, request duration, error codes, queue lag, service errors, and resource state.
ResponseTest whether the evidence points to a release, congestion, backlog, capacity, or dependency before rollback or scaling.
Observed symptomProduction, inventory, ordering, or after-sales workflows time out across several organisational boundaries.
Evidence to inspectApplication logs, host or container metrics, middleware state, traces, slow queries, alert events, and cloud-resource evidence.
ResponseGive IT, operations, business-system owners, and suppliers one timeline with an explicit responsibility boundary.
Representative systems and technology boundaries
Login, remote-service requests, appointments, commerce, membership, and support journeys.
API gateways, Java or Spring services, service APIs, and third-party dependencies.
Kubernetes, Kafka, Redis, MySQL, Nginx, and their configured telemetry.
MES, WMS, ERP, dealer systems, and supplier interfaces where supported data is available.
Carry the investigation context from symptom to response
Confirm the affected user, region, app version, screen, action, and request in supported RUM evidence
Follow configured Trace context through gateways, services, databases, middleware, and third-party dependencies
Compare logs, metrics, events, resources, releases, and alerts on the same time range
Assign the evidence and recovery check to the responsible engineering, operations, enterprise-system, or supplier team
What automotive observability should answer
Automotive digital journeys span mobile clients, connected-service platforms, APIs, middleware, databases, cloud resources, and enterprise applications. Guance links the telemetry that each layer is configured to expose so teams can test the failing boundary without claiming direct vehicle-control coverage.
Segment supported app journeys by version, region, network, screen, action, and request.
Follow configured traces through gateways, services, databases, messaging, and third-party APIs.
Preserve time, scope, evidence, ownership, and recovery checks for internal teams and suppliers.
Build an end-to-end automotive investigation path
Unify the evidence from connected-service and enterprise platforms
Bring supported metrics, logs, traces, infrastructure, Kubernetes, cloud-resource, and business telemetry into a shared context. Model system boundaries explicitly so a common view does not imply identical collection or automatic correlation everywhere.
Follow an affected mobile journey into backend services
Use supported Mobile RUM and Session Replay evidence to identify the affected app version, region, screen, or request, then continue into configured gateway and service traces, logs, and dependencies while applying privacy controls.
Coordinate investigation without losing data boundaries
Use role-based access, masked fields, incidents, alerts, snapshots, and shared investigation context to give engineering, operations, business-system teams, and suppliers the evidence appropriate to their responsibilities.
Frequently asked questions
Coverage depends on the supported telemetry each system exposes. Typical evaluation paths include mobile apps, API gateways, microservices, Kubernetes, cloud resources, logs, databases, and enterprise applications.
Yes, when supported Mobile RUM and backend trace propagation are configured. Teams can preserve request and service context as they move from the client into traces, logs, and runtime evidence.
No such universal claim is made. Guance analyses configured observability data from supported digital and IT systems; direct vehicle telemetry and control depend on the customer architecture, interfaces, and safety governance.
