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---
stage: Growth
group: Product Intelligence
info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments
---
# Metrics instrumentation guide
This guide describes how to develop Service Ping metrics using metrics instrumentation.
## Nomenclature
- **Instrumentation class**:
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- Inherits one of the metric classes: `DatabaseMetric` , `RedisMetric` , `RedisHLLMetric` or `GenericMetric` .
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- Implements the logic that calculates the value for a Service Ping metric.
- **Metric definition**
The Service Data metric YAML definition.
- **Hardening**:
Hardening a method is the process that ensures the method fails safe, returning a fallback value like -1.
## How it works
A metric definition has the [`instrumentation_class` ](metrics_dictionary.md ) field, which can be set to a class.
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The defined instrumentation class should have one of the existing metric classes: `DatabaseMetric` , `RedisMetric` , `RedisHLLMetric` , or `GenericMetric` .
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Using the instrumentation classes ensures that metrics can fail safe individually, without breaking the entire
process of Service Ping generation.
We have built a domain-specific language (DSL) to define the metrics instrumentation.
## Database metrics
[Example of a merge request that adds a database metric ](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/60022 ).
```ruby
module Gitlab
module Usage
module Metrics
module Instrumentations
class CountBoardsMetric < DatabaseMetric
operation :count
relation { Board }
end
end
end
end
end
```
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## Redis metrics
[Example of a merge request that adds a `Redis` metric ](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/66582 ).
Count unique values for `source_code_pushes` event.
Required options:
- `event` : the event name.
- `counter_class` : one of the counter classes from the `Gitlab::UsageDataCounters` namespace; it should implement `read` method or inherit it from `BaseCounter` .
```yaml
time_frame: all
data_source: redis
instrumentation_class: 'RedisMetric'
options:
event: pushes
counter_class: SourceCodeCounter
```
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## Redis HyperLogLog metrics
[Example of a merge request that adds a `RedisHLL` metric ](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/61685 ).
Count unique values for `i_quickactions_approve` event.
```yaml
time_frame: 28d
data_source: redis_hll
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instrumentation_class: 'RedisHLLMetric'
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options:
events:
- i_quickactions_approve
```
## Generic metrics
[Example of a merge request that adds a generic metric ](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/60256 ).
```ruby
module Gitlab
module Usage
module Metrics
module Instrumentations
class UuidMetric < GenericMetric
value do
Gitlab::CurrentSettings.uuid
end
end
end
end
end
end
```
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## Support for instrumentation classes
There is support for:
- `count` , `distinct_count` , `estimate_batch_distinct_count` for [database metrics ](#database-metrics ).
- [Redis metrics ](#redis-metrics ).
- [Redis HLL metrics ](#redis-hyperloglog-metrics ).
- [Generic metrics ](#generic-metrics ), which are metrics based on settings or configurations.
Currently, there is no support for:
- `add` , `sum` , `histogram` for database metrics.
You can [track the progress to support these ](https://gitlab.com/groups/gitlab-org/-/epics/6118 ).
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## Creating a new metric instrumentation class
To create a stub instrumentation for a Service Ping metric, you can use a dedicated [generator ](https://gitlab.com/gitlab-org/gitlab/-/blob/master/lib/generators/gitlab/usage_metric_generator.rb ):
The generator takes the class name as an argument and the following options:
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- `--type=TYPE` Required. Indicates the metric type. It must be one of: `database` , `generic` , `redis` .
- `--operation` Required for `database` type. It must be one of: `count` , `distinct_count` , `estimate_batch_distinct_count` .
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- `--ee` Indicates if the metric is for EE.
```shell
rails generate gitlab:usage_metric CountIssues --type database
create lib/gitlab/usage/metrics/instrumentations/count_issues_metric.rb
create spec/lib/gitlab/usage/metrics/instrumentations/count_issues_metric_spec.rb
```