OpenTelemetry Bot d680729c09 [chore] Prepare release 0.90.0 (#29543) | 1 년 전 | |
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internal | 1 년 전 | |
testdata | 1 년 전 | |
Makefile | 3 년 전 | |
README.md | 1 년 전 | |
config.go | 1 년 전 | |
config_test.go | 1 년 전 | |
doc.go | 1 년 전 | |
example_config.yaml | 1 년 전 | |
factory.go | 1 년 전 | |
factory_test.go | 1 년 전 | |
go.mod | 1 년 전 | |
go.sum | 1 년 전 | |
hostmetrics_linux.go | 1 년 전 | |
hostmetrics_linux_test.go | 1 년 전 | |
hostmetrics_others.go | 1 년 전 | |
hostmetrics_others_test.go | 1 년 전 | |
hostmetrics_receiver_test.go | 1 년 전 | |
integration_test.go | 1 년 전 | |
metadata.yaml | 1 년 전 |
Status | |
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Stability | beta: metrics |
Distributions | core, contrib, observiq, splunk, sumo |
Issues | |
Code Owners | @dmitryax, @braydonk |
The Host Metrics receiver generates metrics about the host system scraped from various sources. This is intended to be used when the collector is deployed as an agent.
The collection interval, root path, and the categories of metrics to be scraped can be configured:
hostmetrics:
collection_interval: <duration> # default = 1m
initial_delay: <duration> # default = 1s
root_path: <string>
scrapers:
<scraper1>:
<scraper2>:
...
The available scrapers are:
Scraper | Supported OSs | Description |
---|---|---|
cpu | All except Mac[1] | CPU utilization metrics |
disk | All except Mac[1] | Disk I/O metrics |
load | All | CPU load metrics |
filesystem | All | File System utilization metrics |
memory | All | Memory utilization metrics |
network | All | Network interface I/O metrics & TCP connection metrics |
paging | All | Paging/Swap space utilization and I/O metrics |
processes | Linux, Mac | Process count metrics |
process | Linux, Windows, Mac | Per process CPU, Memory, and Disk I/O metrics |
[1] Not supported on Mac when compiled without cgo which is the default.
Several scrapers support additional configuration:
disk:
<include|exclude>:
devices: [ <device name>, ... ]
match_type: <strict|regexp>
filesystem:
<include_devices|exclude_devices>:
devices: [ <device name>, ... ]
match_type: <strict|regexp>
<include_fs_types|exclude_fs_types>:
fs_types: [ <filesystem type>, ... ]
match_type: <strict|regexp>
<include_mount_points|exclude_mount_points>:
mount_points: [ <mount point>, ... ]
match_type: <strict|regexp>
cpu_average
specifies whether to divide the average load by the reported number of logical CPUs (default: false
).
load:
cpu_average: <false|true>
network:
<include|exclude>:
interfaces: [ <interface name>, ... ]
match_type: <strict|regexp>
process:
<include|exclude>:
names: [ <process name>, ... ]
match_type: <strict|regexp>
mute_process_name_error: <true|false>
mute_process_exe_error: <true|false>
mute_process_io_error: <true|false>
mute_process_user_error: <true|false>
scrape_process_delay: <time>
If you are only interested in a subset of metrics from a particular source, it is recommended you use this receiver with the Filter Processor.
If you would like to scrape some metrics at a different frequency than others,
you can configure multiple hostmetrics
receivers with different
collection_interval
values. For example:
receivers:
hostmetrics:
collection_interval: 30s
scrapers:
cpu:
memory:
hostmetrics/disk:
collection_interval: 1m
scrapers:
disk:
filesystem:
service:
pipelines:
metrics:
receivers: [hostmetrics, hostmetrics/disk]
Host metrics are collected from the Linux system directories on the filesystem. You likely want to collect metrics about the host system and not the container. This is achievable by following these steps:
The simplest configuration is to mount the entire host filesystem when running
the container. e.g. docker run -v /:/hostfs ...
.
You can also choose which parts of the host filesystem to mount, if you know
exactly what you'll need. e.g. docker run -v /proc:/hostfs/proc
.
root_path
Configure root_path
so the hostmetrics receiver knows where the root filesystem is.
Note: if running multiple instances of the host metrics receiver, they must all have
the same root_path
.
Example:
receivers:
hostmetrics:
root_path: /hostfs
Currently, the hostmetrics receiver does not set any Resource attributes on the exported metrics. However, if you want to set Resource attributes, you can provide them via environment variables via the resourcedetection processor. For example, you can add the following resource attributes to adhere to Resource Semantic Conventions:
export OTEL_RESOURCE_ATTRIBUTES="service.name=<the name of your service>,service.namespace=<the namespace of your service>,service.instance.id=<uuid of the instance>"