Incident Management
Platform
AI
Dedicated compute
Dedicated compute keeps concurrent queries stable and complex analysis fast.
Learn moreDedicated compute
Dedicated compute keeps concurrent queries stable and complex analysis fast.
Learn moreInternet-service teams use Guance across fast-moving production systems
Connect supported user, service, runtime, cloud, and release evidence while preserving the limits of each collection path.
Scope impact by version, region, journey, and service
Test release, dependency, and capacity hypotheses with evidence
Share one incident context across engineering and operations
What internet-service observability should answer
A useful workflow preserves service, environment, version, region, request, resource, and user-safe context across configured RUM, APM, logs, infrastructure, cloud, alerts, and incidents. It supports investigation without promising automatic root cause or business impact.
Compare selected releases with errors, latency, runtime state, and supported user evidence.
Assess saturation, queueing, dependencies, and regional symptoms against a defined baseline.
Keep impact, evidence, ownership, changes, and recovery checks on one timeline.
Build a release-to-user investigation workflow
Connect supported user journeys with service traces and logs
Segment configured Web, mobile, or mini-app evidence by version, region, network, page, action, and request, then continue through propagated traces, logs, databases, and dependencies. Available correlation depends on instrumentation and shared context.
Investigate cloud-native and multi-cloud runtime context together
Connect supported cloud resources, Kubernetes objects, hosts, containers, networks, services, and cost context through documented integrations. Validate each account, region, permission, data delay, and tagging path instead of assuming universal coverage.
Keep release, incident, and recovery evidence in one context
Use dashboards, alerts, incidents, snapshots, and collaboration records to capture impact, owner, action, and recovery. Operational telemetry can support a hypothesis but does not by itself prove conversion, revenue, or customer-retention outcomes.
Frequently asked questions
Start with the journeys and services you operate, then connect supported error, latency, request, trace, log, infrastructure, cloud, network, release, and alert evidence using consistent service and version context.
Preserve environment and version attributes, compare the release window with supported user experience, service errors, traces, logs, Kubernetes or infrastructure state, and alerts, then verify recovery using the same evidence.
Supported cloud accounts, resources, Kubernetes, hosts, applications, and logs can be connected through their documented integrations. Coverage, permissions, refresh timing, and tags must be validated for each selected provider and service.
