github.com/open-telemetry/opentelemetry-collector-contrib/receiver/hostmetricsreceiver

Host Metrics Receiver

Status
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.

Getting Started

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

Notes

^[1] Not supported on Mac when compiled without cgo which is the default.

Several scrapers support additional configuration:

Disk

disk:
  <include|exclude>:
    devices: [ <device name>, ... ]
    match_type: <strict|regexp>

File System

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>

Load

cpu_average specifies whether to divide the average load by the reported number of logical CPUs (default: false).

load:
  cpu_average: <false|true>

Network

network:
  <include|exclude>:
    interfaces: [ <interface name>, ... ]
    match_type: <strict|regexp>

Process

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>

Advanced Configuration

Filtering

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.

Different Frequencies

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]

Collecting host metrics from inside a container (Linux only)

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:

1. Bind mount the host filesystem

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.

2. Configure 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

Resource attributes

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>"