Metrics are a great way to understand the performance and internal characteristics of your services and infrastructure.

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Metoro Produced Metrics

Metoro automatically generates a large number of metrics from your services and infrastructure. These metrics are collected by the in-cluster agents and provide detailed information about the performance of your services and infrastructure. This includes things like These are collected by the in-cluster agents and provide detailed information about the performance of your services and infrastructure. This includes things like:
  • Network metrics at the container level
  • Disk metrics at the container level
  • CPU metrics at the container level
  • Memory metrics at the container level
  • Node level metrics
  • And many many more…
You can check out all of the available metrics in the metric explorer For a complete list of metrics that Metoro automatically generates, see Default Metrics or look at the metric explorer in platform.

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Custom Metrics

In addition to the automatically generated metrics, you can also send your own custom metrics to Metoro using OpenTelemetry. See Custom Metrics for details on how to send custom metrics to Metoro.

Learn About Custom Metrics

Learn how to send your own metrics to Metoro

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MetoroQL

Metoro provides a powerful query language called MetoroQL for working with metrics and other observability data. MetoroQL is designed to be familiar to users of PromQL but with enhanced capabilities:
  • Query not just metrics, but also logs, traces, and Kubernetes resources with a unified syntax
  • Simplified counter handling that doesn’t require rate() or increase() functions
  • Advanced filtering and correlation capabilities across different data types
MetoroQL is used throughout Metoro’s UI, including in dashboards, charts, and alerts.

Learn About MetoroQL

Learn how to query observability data with MetoroQL

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Searching and Filtering Metrics

Metoro provides powerful search capabilities for your metrics. You can filter metrics using:
  • Metric names
  • Label values
  • Time ranges
  • Regular expressions
For any metric label, you can use regex search with the syntax label = regex: <re2 expression>. For example:
  • service.name = regex: .*metoro.* will match metrics from any service containing “metoro”
  • container.name = regex: ^api-.* will match containers starting with “api-”
  • kubernetes.namespace = regex: prod|staging will match namespaces “prod” or “staging”

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Units

Metoro uses the UCUM (Unified Code for Units of Measure) standard for metric units, providing consistent unit representation across all metrics. Units can be configured at multiple levels with a flexible precedence system.

Learn About Metric Units

Learn how to work with units in Metoro

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Dashboarding

Metoro supports custom dashboarding to help you gain insights into your services and infrastructure. See Dashboards for more details.