Incident Management
Platform
AI
Dedicated compute
Dedicated compute keeps concurrent queries stable and complex analysis fast.
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Dedicated compute keeps concurrent queries stable and complex analysis fast.
Learn moreSoftware teams use Guance across delivery and production workflows
Give engineering, operations, product, and support teams shared evidence with explicit ownership and access.
Connect releases with service and user impact
Investigate traces and logs without rebuilding context
Give engineering, product, and support a shared timeline
What software observability should answer
A useful software workflow preserves service, environment, version, trace, resource, and user-safe context across APM, logs, infrastructure, RUM, releases, alerts, and incidents. Product and revenue conclusions still require governed analytics and transaction data.
Compare releases with errors, latency, resource state, alerts, and supported user evidence.
Follow a slow or failed request through traces, logs, dependencies, and runtime resources.
Share a time-bounded, access-controlled evidence set without exposing unnecessary sensitive data.
Build a release-to-user software investigation workflow
Keep existing tools while standardising investigation context
Connect supported collectors, OpenTelemetry, logs, metrics, traces, cloud resources, and custom data through documented paths. Standardise service, environment, version, team, and resource attributes before expecting cross-signal correlation.
Follow user impact into backend services and dependencies
Use supported RUM and Session Replay evidence to identify affected journeys, then continue through configured request traces, logs, databases, and runtime resources. Apply masking, sampling, access, and retention controls deliberately.
Give engineering, product, and support one incident timeline
Use alerts, incidents, dashboards, snapshots, and collaboration context to record impact, evidence, ownership, actions, and recovery. Business events add context but do not by themselves prove product or revenue causation.
Frequently asked questions
Use the current integration and ingestion documentation to validate each path. Existing collectors can remain where formats, labels, timestamps, throughput, lifecycle controls, and ownership meet the operating design.
Preserve environment and version context, then compare the release window with service latency, errors, traces, logs, infrastructure, alerts, and supported real-user evidence.
No. Observability explains technical behaviour and user-impact evidence. Product adoption, conversion, and revenue conclusions require governed analytics and transaction systems.
