Red Hat Summit第3章 Configuring the Time Series Database (Gnocchi) for Telemetry
Time series database (Gnocchi) is a multi-project, metrics, and resource database. It is designed to store metrics at a very large scale while providing access to metrics and resources information to operators and users.
3.1. Understanding the Time Series Database
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This section defines the commonly used terms for the Time series database (Gnocchi)features.
- Aggregation method
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A function used to aggregate multiple measures into an aggregate. For example, the
minaggregation method aggregates the values of different measures to the minimum value of all the measures in the time range. - Aggregate
- A data point tuple generated from several measures according to the archive policy. An aggregate is composed of a time stamp and a value.
- Archive policy
- An aggregate storage policy attached to a metric. An archive policy determines how long aggregates are kept in a metric and how aggregates are aggregated (the aggregation method).
- Granularity
- The time between two aggregates in an aggregated time series of a metric.
- Measure
- An incoming data point tuple sent to the Time series database by the API. A measure is composed of a time stamp and a value.
- Metric
- An entity storing aggregates identified by an UUID. A metric can be attached to a resource using a name. How a metric stores its aggregates is defined by the archive policy that the metric is associated to.
- Resource
- An entity representing anything in your infrastructure that you associate a metric with. A resource is identified by a unique ID and can contain attributes.
- Time series
- A list of aggregates ordered by time.
- Timespan
- The time period for which a metric keeps its aggregates. It is used in the context of archive policy.
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