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A time series is a set of data points with matching labels. A metric is a time series with a common name, such as the __name__ label. Use the following documentation to learn about interacting with metric data in Chronosphere Observability Platform.
See the metrics dictionary to learn about the metrics created by and specific to Observability Platform.

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Ingest

Observability Platform natively supports Prometheus, StatsD, DogStatsD, and other metrics formats with the Chronosphere Collector, and OpenTelemetry metrics using the OpenTelemetry Collector.

Ingest data

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Query

Learn how to construct queries in Metrics Explorer to investigate query requests, responses, and statistics. Use a query to select and filter the metrics you’re interested in, and then apply functions to them. You can also learn about writing PromQL queries and applying functions to perform calculations within queries.

Query data

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Observe

Create standard dashboards to query and visualize log data queries. You can also create alerts to watch time series data that’s specified in a monitor query, and receive notifications when the query matches specified logs.

Observe data

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Analyze

Analyze both your metric data and queries to gain insights, understand the value of your data semantics, and highlight changes and their impacts.

Analyze data

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Control

Use the Chronosphere Control Plane to reduce the amount of metric data retained in your system over time. Identify and evaluate data, and then reshape the overall dataset to eliminate waste, unnecessary noise, and cost.

Control data