zio.zmx.metrics
Type members
Classlikes
A Counter is a metric representing a single numerical value that may be
incremented over time. A typical use of this metric would be to track the
number of a certain type of request received. With a counter the quantity
of interest is the cumulative value over time, as opposed to a gauge where
the quantity of interest is the value as of a specific point in time.
A Counter is a metric representing a single numerical value that may be
incremented over time. A typical use of this metric would be to track the
number of a certain type of request received. With a counter the quantity
of interest is the cumulative value over time, as opposed to a gauge where
the quantity of interest is the value as of a specific point in time.
- Companion:
- object
A Gauge is a metric representing a single numerical value that may be set
or adjusted. A typical use of this metric would be to track the current
memory usage. With a guage the quantity of interest is the current value,
as opposed to a counter where the quantity of interest is the cumulative
values over time.
A Gauge is a metric representing a single numerical value that may be set
or adjusted. A typical use of this metric would be to track the current
memory usage. With a guage the quantity of interest is the current value,
as opposed to a counter where the quantity of interest is the cumulative
values over time.
- Companion:
- object
A Histogram is a metric representing a collection of numerical with the
distribution of the cumulative values over time. A typical use of this
metric would be to track the time to serve requests. Histograms allow
visualizing not only the value of the quantity being measured but its
distribution. Histograms are constructed with user specified boundaries
which describe the buckets to aggregate values into.
A Histogram is a metric representing a collection of numerical with the
distribution of the cumulative values over time. A typical use of this
metric would be to track the time to serve requests. Histograms allow
visualizing not only the value of the quantity being measured but its
distribution. Histograms are constructed with user specified boundaries
which describe the buckets to aggregate values into.
- Companion:
- object
A MetricAspect is able to add collection of metrics to a ZIO effect
without changing its environment, error, or value types. Aspects are the
idiomatic way of adding collection of metrics to effects.
A MetricAspect is able to add collection of metrics to a ZIO effect
without changing its environment, error, or value types. Aspects are the
idiomatic way of adding collection of metrics to effects.
- Companion:
- object
A SetCount ia a metric that counts the number of occurences of Strings. The individual values are not known up front. Basically the SetCount is a dynamic set of counters, one counter for each unique word observed.
A SetCount ia a metric that counts the number of occurences of Strings. The individual values are not known up front. Basically the SetCount is a dynamic set of counters, one counter for each unique word observed.
- Companion:
- object
A Summary represents a sliding window of a time series along with metrics
for certain percentiles of the time series, referred to as quantiles.
Quantiles describe specified percentiles of the sliding window that are of
interest. For example, if we were using a summary to track the response time
for requests over the last hour then we might be interested in the 50th
percentile, 90th percentile, 95th percentile, and 99th percentile for
response times.
A Summary represents a sliding window of a time series along with metrics
for certain percentiles of the time series, referred to as quantiles.
Quantiles describe specified percentiles of the sliding window that are of
interest. For example, if we were using a summary to track the response time
for requests over the last hour then we might be interested in the 50th
percentile, 90th percentile, 95th percentile, and 99th percentile for
response times.
- Companion:
- object