The humio-metrics Repository
The humio-metric repository is a system repository that holds metrics generated by LogScale itself. There are metrics on both system-wide scope, such as total number of live queries active, and metrics for each repository.
Note
Special access restrictions apply: a user can get access to search this repository using the same set of rules as any other repository. But any user who does not have access through those rules can search this repo, being restricted to searching only the events that directly relate to other repositories, that said user has access to. You can thus not see what other repositories may exist in LogScale through this access, and neither can you query the "global" metrics without being a member of the repository.
By default, a user can only query the humio-metrics repository for the repositories they can search. A user must be a member of the humio-metrics repository to query about all repositories.
The metrics logged into this repository are also available on JMX and Prometheus endpoints provided those are enabled. By default those listeners are disabled, whereas logging to this repository is always enabled.
On cloud, the metrics for an organization can be accessed through the humio-organization-metrics view. An organization root can query metrics for all repositories in the organization.
Metric Structure
An event within the humio-metric repository will include the following core fields:
name
The name of the metric being reported. A list of possible metrics is shown in Node-Level Metrics.
The type of the metric, which provides an indication of the other fields that will be included within the event. For more information, see Metric Types.
Additional fields within an event will depend on the underlying type.
Metric Types
There are two major types of metrics in LogScale; node level metrics and
object level metrics. Objects include repositories, ingest listeners, or
storage partitions. For example ingest metrics for a given repository can
be obtained by viewing
ingest-bytes.
Within the individual metric types there are a different event entries for different metrics that include different fields. The underlying type can be identified using the type field:
The Counter event is a
count of the corresponding metric event as an integer. A metric event
of this type may contain the following fields:
| Field | Type | Description |
|---|---|---|
| count | Integer | An incremental count of the metric. |
A Gauge event stores
either a value or ratio. A metric event of this type may contain the
following fields:
| Field | Type | Description |
|---|---|---|
| value | Integer or Float | Any value appropriate for the metric. |
The Histogram type
tracks counter and statistical information for a given metric within a
specific time window (typically 1 minute).
| Field | Type | Description |
|---|---|---|
| count | Integer | Counter of the number of events since LogScale was started |
| max | Float | Maximum value of the metric within the time period |
| mean | Float | Mean value of the metric within the time period |
| median | Float | Median value of the metric within the time period |
| min | Float | Minimum value of the metric within the time period |
| p75 | Float | 75th percentile of the metric within the time period |
| p95 | Float | 95th percentile of the metric within the time period |
| p98 | Float | 98th percentile of the metric within the time period |
| p99 | Float | 99th percentile of the metric within the time period |
| p999 | Float | 99.9th percentile of the metric within the time period |
| rate_unit | String | A text description of the rate unit for the values. |
| stddev | Float | Standard deviation of the metric within the time period |
| window_count | Float | Counter of the number of events within the time period |
A Meter measures the
rate of a given metric, and includes moving averages and the rate
description. A metric event of this type may contain the following
fields:
| Field | Type | Description |
|---|---|---|
| count | Integer | Count of the corresponding metric |
| m1 | Float | 1 minute moving average |
| m15 | Float | 15 minute moving average |
| m5 | Float | 5 minute moving average |
| mean_rate | String | Moving mean rate since the application started |
A Timer metric
measures the duration of a given metric event, and includes moving
averages, statistical values and when appropriate a measured rate. A
metric event of this type may contain the following fields:
| Field | Type | Description |
|---|---|---|
| count | Integer | Count of the corresponding metric |
| duration_unit | String | A description of the unit used to track the duration. |
| m1 | Float | 1 minute moving average |
| m15 | Float | 15 minute moving average |
| m5 | Float | 5 minute moving average |
| max | Float | Maximum value of the metric within the time period |
| mean | Float | Mean value of the metric within the time period |
| mean_rate | Float | Mean rate of the metric within the time period |
| median | Float | Median value of the metric within the time period |
| min | Float | Minimum value of the metric within the time period |
| p75 | Float | 75th percentile of the metric within the time period |
| p95 | Float | 95th percentile of the metric within the time period |
| p98 | Float | 98th percentile of the metric within the time period |
| p99 | Float | 99th percentile of the metric within the time period |
| p999 | Float | 99.9th percentile of the metric within the time period |
| rate_unit | String | A text description of the rate unit for the values. |
| stddev | Float | Standard deviation of the metric within the time period |