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Status | |
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Stability | beta: metrics |
Distributions | contrib, observiq, splunk, sumo |
Issues | |
Code Owners | @dashpole |
This receiver, for Windows only, captures the configured system, application, or custom performance counter data from the Windows registry using the PDH interface. It is based on the Telegraf Windows Performance Counters Input Plugin.
Memory\Committed Bytes
Processor\% Processor Time
, with a datapoint for each Instance
label = (_Total
, 1
, 2
, 3
, ... )If one of the specified performance counters cannot be loaded on startup, a warning will be printed, but the application will not fail fast. It is expected that some performance counters may not exist on some systems due to different OS configuration.
The collection interval and the list of performance counters to be scraped can be configured:
windowsperfcounters:
collection_interval: <duration> # default = "1m"
initial_delay: <duration> # default = "1s"
metrics:
<metric name>:
description: <description>
unit: <unit type>
gauge:
<metric name>:
description: <description>
unit: <unit type>
sum:
aggregation: <cumulative or delta>
monotonic: <true or false>
perfcounters:
- object: <object name>
instances: [<instance name>]*
counters:
- name: <counter name>
metric: <metric name>
attributes:
<key>: <value>
*Note instances
can have several special values depending on the type of
counter:
Value | Interpretation
-- | --
Not specified | This is the only valid value if the counter has no instances
"*"
| All instances
"_Total"
| The "total" instance
"instance1"
| A single instance
["instance1", "instance2", ...]
| A set of instances
["_Total", "instance1", "instance2", ...]
| A set of instances including the "total" instance
If you would like to scrape some counters at a different frequency than others,
you can configure multiple windowsperfcounters
receivers with different
collection_interval
values. For example:
receivers:
windowsperfcounters/memory:
metrics:
bytes.committed:
description: the number of bytes committed to memory
unit: By
gauge:
collection_interval: 30s
perfcounters:
- object: Memory
counters:
- name: Committed Bytes
metric: bytes.committed
windowsperfcounters/processor:
collection_interval: 1m
metrics:
processor.time:
description: active and idle time of the processor
unit: "%"
gauge:
perfcounters:
- object: "Processor"
instances: "*"
counters:
- name: "% Processor Time"
metric: processor.time
attributes:
state: active
- object: "Processor"
instances: [1, 2]
counters:
- name: "% Idle Time"
metric: processor.time
attributes:
state: idle
service:
pipelines:
metrics:
receivers: [windowsperfcounters/memory, windowsperfcounters/processor]
To report metrics in the desired output format, define a metric and reference it in the corresponding counter, along with any applicable attributes. The metric's data type can either be gauge
(default) or sum
.
| Field Name | Description | Value | Default |
| -- | -- | -- | -- |
| name | The key for the metric. | string | Counter Name |
| description | definition of what the metric measures. | string | |
| unit | what is being measured. | string | 1
|
| sum | representation of a sum metric. | Sum Config | |
| gauge | representation of a gauge metric. | Gauge Config | |
| Field Name | Description | Value | Default |
| -- | -- | -- | -- |
| aggregation | The type of aggregation temporality for the metric. | [cumulative
or delta
] | |
| monotonic | whether or not the metric value can decrease. | false | |
A gauge
config currently accepts no settings. It is specified as an object for forwards compatibility.
e.g. To output the Memory/Committed Bytes
counter as a metric with the name
bytes.committed
:
receivers:
windowsperfcounters:
metrics:
bytes.committed:
description: the number of bytes committed to memory
unit: By
gauge:
collection_interval: 30s
perfcounters:
- object: Memory
counters:
- name: Committed Bytes
metric: bytes.committed
service:
pipelines:
metrics:
receivers: [windowsperfcounters]