Observability Dashboards / Data Visualization

Observability Dashboards for Operations and Business Monitoring

Bring system health, business signals, and response paths into one live view. Teams can filter, correlate, and investigate Metrics, Logs, Traces, Events, and supported external data instead of stopping at a static chart.

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Documented capabilities

Validate the data, interactions, and publishing model before designing the wallboard

These capabilities are grounded in the current Guance dashboard and scene documentation. Availability can vary by data type, component, edition, and workspace permissions.

01

Multiple observability signals

Organize metrics, logs, traces, events, and supported external sources in one dashboard.

02

Queries and interaction

Use simple queries, DQL, PromQL, view variables, chart links, and filters for multidimensional analysis.

03

Controlled distribution

Use visibility settings, shared links, embeds, and scheduled reports for the intended audience.

What should an observability dashboard answer?

A useful dashboard answers what changed, who is affected, and where to investigate next. Guance connects charts and queries to object context and underlying records so a summary can lead into incident analysis.

Common design failures

Inconsistent context:

Business, application, infrastructure, and alert data use different time ranges, objects, and labels.

Display without investigation:

A static trend shows that something moved but offers no path to the affected service, log, trace, or object.

Unmanaged publishing:

Without ownership, variables, permissions, and review dates, teams accumulate conflicting dashboard copies.

A practical Guance workflow

Create shared context:

Align time, service, environment, region, release, and business-object tags before composing charts.

Connect summaries to evidence:

Use variables, links, and viewers to move from an anomaly to logs, traces, and object details.

Publish by audience:

Give executives, business teams, SREs, and developers focused views with explicit access boundaries.

Three layers turn visualization into an operating workflow

Place signals in the same time and object context

Combine Metrics, Logs, Traces, and Events around services, environments, releases, regions, or business entities.

Shared tagsMultiple sourcesAligned time

Move from an overview to the underlying record

Let view variables update multiple charts and use chart links or viewers to continue into logs, traces, and performance details.

View variablesLinked chartsDrill-down

Deliver the right view to the right team

Use visibility, links, embeds, and scheduled reports while checking data permissions and link lifetime before external distribution.

Access scopeShare and embedReports

A four-step path from ingestion to ongoing dashboard governance

Ingest and label the data that matters

Bring in observability and required business data, then standardize service, env, version, region, and business-object tags.

Data ingestionTag standards

Choose views by operational task, not by chart type

Service health overview

Track errors, latency, throughput, and dependencies by service, environment, and release.

Infrastructure and capacity

Bring hosts, containers, cloud resources, and capacity risks into one resource view.

Alert response desk

Summarize active events, affected objects, and the next investigation path.

Capability and delivery boundary

Guance dashboards cover observability queries, charts, interaction, sharing, and reports. Digital-twin 3D modeling, external-system integration, and custom visual production are separately scoped services. Capability review date: August 17, 2026.

Frequently asked questions

How is an observability dashboard different from a BI dashboard?

BI dashboards usually emphasize business reporting. Observability dashboards emphasize live signals, alert context, object relationships, and investigation. They can share business measures while serving different response tasks.

Which query options are available?

Current documentation lists simple queries, DQL, PromQL, and supported external data sources. The exact options depend on the data type, component, and edition.

Can a chart link to raw data?

View variables, chart links, and viewers can form a drill-down path. Define the destination, filters, and access permissions as part of dashboard design.

Is digital-twin modeling a standard dashboard feature?

Standard dashboards provide documented charts, maps, media, and embedding options. 3D modeling, field-system integration, and custom interaction require separate project scoping.

Dashboard product capabilitiesReal-time business monitoringScenes and viewers documentationPlans and pricing

Bring your audiences, data sources, and key decisions to a dashboard design review

Next steps

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