Metrics Analytics

Query, govern, and visualize the metrics that define system health

Guance Metrics Analytics collects infrastructure, cloud, middleware, application, and business metrics through DataKit and integrations. Teams can use DQL or PromQL to group and transform time series, build dashboards and alerts, and keep metric definitions understandable as their environments grow.

What Metrics Analytics helps you solve

Use consistent time-series evidence for health, capacity, and business decisions

Metrics make change visible over time, but only when teams can collect the right signals, query them by meaningful tags, understand their definitions, and connect the result to dashboards and alerts.

Bring infrastructure, cloud, middleware, application, and business metrics into one model
DataKit and integration configurations collect metrics from hosts, containers, databases, middleware, cloud services, applications, and custom business systems. Shared service, environment, region, version, and ownership tags make the same time series useful across teams.
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Bring infrastructure, cloud, middleware, application, and business metrics into one model
Explore a trend quickly, then use DQL or PromQL when the question becomes specific
Explore a trend quickly, then use DQL or PromQL when the question becomes specific
Start with visual queries and expressions, then filter, group, aggregate, or transform the data with DQL and PromQL. Teams can compare time windows and dimensions for service health, capacity planning, performance regression, and business monitoring.
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Keep metric names, tags, units, descriptions, and retention understandable at scale
Metric management helps teams find metric sets, inspect tags, maintain units and descriptions, and apply appropriate retention choices. A shared definition reduces misinterpretation, duplicated collection, and avoidable storage cost.
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Keep metric names, tags, units, descriptions, and retention understandable at scale

Frequently asked questions

Which data is suitable for metrics monitoring?

Metrics are suitable for numeric time-series signals such as host and container utilization, database and middleware activity, cloud-service health, application performance, and business counters or rates.

Which metric query methods does Guance support?

Guance supports visual and expression-based queries as well as DQL and PromQL. Teams can filter by tags, group by dimensions, apply functions, and compare selected time windows.

How can a platform team govern a growing metric estate?

Use metric management to inspect metric sets and tags, maintain units and descriptions, standardize naming, and align retention and collection with the value of each signal.

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Related capabilities and documentation

Dashboards and Data VisualizationTurn metric queries into shared operational and business views. Alerting and Anomaly DetectionConvert meaningful metric conditions into routed alerts and investigation events. Infrastructure MonitoringConnect resource metrics with hosts, containers, processes, networks, and cloud context. Real-time monitoring solutionTrack system health and business change with metric dashboards and alerting. Metrics documentationReview metric collection, query, management, and analysis workflows. Pricing and editionsReview Guance editions and usage-based pricing.

Connect metric trends to dashboards, alerts, and infrastructure context

Explore dashboards, alerting, infrastructure monitoring, documentation, and pricing.

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