Node Exporter integration for host monitoring

Do you want to monitor hardware and kernel metrics for a Linux server? You can do this with the New Relic remote write integration and the Prometheus Node Exporter. When you combine these two programs with the Prometheus monitoring system, you can send data to New Relic where you can use it for troubleshooting.

The instructions here are based on the Prometheus guide Monitoring Linux host metrics with the node exporter. We'll repeat some of that information and expand on it with steps to help you send your data to New Relic.

Prerequisites

Here's what you need to get started:

Decide which Linux host you want to instrument. We'll show examples below for Linux servers in EC2, GCP, and Azure instances.
Make sure you've installed the Prometheus monitoring system. If you haven't already, you can find download it from the Prometheus site.

Download and start Node Exporter

Complete the following:

Download and start Node Exporter with the commands below. Be sure to replace the wget URL with the latest from the Prometheus downloads page:
bash
```
$# Note that <VERSION>, <OS>, and <ARCH> are placeholders.
$wget https://github.com/prometheus/node_exporter/releases/download/v<VERSION>/node_exporter-<VERSION>.<OS>-<ARCH>.tar.gz
$tar xvfz node_exporter-*.*-amd64.tar.gz
$cd node_exporter-*.*-amd64
$./node_exporter
```
Set Node Exporter to run in the background with the keyboard commands CONTROL + z and bg. In production environments, you'd want to set this up as a service (for example, with systemd).

Configurations

Before you start Prometheus, you'll need to make some changes in your main prometheus.yml configuration file. We'll start with this basic prometheus.yml example below and add configurations to it in the remaining sections. You can copy these examples and paste them into your configuration file.

Note that job_name is set to node:

# my global config 
global:
  scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any time series scraped from this config.
  - job_name: node

Connect Prometheus to New Relic

In your prometheus.yml, insert the remote_write snippet from the example below. Keep the following in mind:

This is a snippet for Prometheus v2.26 and higher. If you're using an older version, see our main remote write instructions.
Make sure to replace YOUR_LICENSE_KEY with your value.
You can insert this at the bottom of the configuration file at same indentation level as the global section.

# my global config 
global:
  scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any time series scraped from this config.
  - job_name: node

remote_write:
  - url: https://metric-api.newrelic.com/prometheus/v1/write?prometheus_server=NodeExporter
    authorization:
      credentials: YOUR_LICENSE_KEY

Set up targets

You can configure targets statically via the static_configs parameter, or you can use dynamic discovery with one of the supported service-discovery mechanisms.

Static targets

You can set up a static configuration under a new comment # Target setup:

Be sure to insert your <INSTANCE_ID>:

# my global config
global:
  scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any time series scraped from this config.
  - job_name: node

    # Target setup 
    static_configs:
      - targets: ['localhost:9100']
        labels:
          instanceid: <INSTANCE_ID> 

remote_write:
  - url: https://metric-api.newrelic.com/prometheus/v1/write?prometheus_server=NodeExporter
    authorization:
      credentials: YOUR_LICENSE_KEY

Be sure to insert your <MACHINE_ID>:

# my global config
global:
  scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any time series scraped from this config.
  - job_name: node

    # Target setup 
    static_configs:
      - targets: ['localhost:9100']
        labels:
          instanceid: <MACHINE_ID>

remote_write:
  - url: https://metric-api.newrelic.com/prometheus/v1/write?prometheus_server=NodeExporter
    authorization:
      credentials: YOUR_LICENSE_KEY

Be sure to insert your <INSTANCE_ID>:

# my global config
global:
  scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any time series scraped from this config.
  - job_name: node

    # Target setup 
    static_configs:
      - targets: ['localhost:9100']
        labels:
          instanceid: <INSTANCE_ID>

remote_write:
  - url: https://metric-api.newrelic.com/prometheus/v1/write?prometheus_server=NodeExporter
    authorization:
      credentials: YOUR_LICENSE_KEY

Dynamic targets

Instead of configuring static targets, you can configure service discovery.

You can set up service discovery for your AWS EC2 instances by supplying the region, access_key, secret_key and port under # Target setup.

# my global config
global:
  scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any time series scraped from this config.
  - job_name: node

    # Target setup 
    ec2_sd_configs:
      - region: <EC2_REGION>
        # The AWS API keys. If blank, the environment variables `AWS_ACCESS_KEY_ID`
        # and `AWS_SECRET_ACCESS_KEY` are used.
        access_key: <ACCESS_KEY>
        secret_key: <SECRET_KEY>
        # The port to scrape metrics from. If using the public IP address, this must
        # instead be specified in the relabeling rule.
        # By default node_exporter will expose metrics on 9100
        port: <PORT>

remote_write:
  - url: https://metric-api.newrelic.com/prometheus/v1/write?prometheus_server=NodeExporter
    authorization:
      credentials: YOUR_LICENSE_KEY

Under # Target setup, be sure to insert your <SUBSCRIPTION_ID>:

# my global config
global:
  scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any time series scraped from this config.
  - job_name: node

    # Target setup 
    azure_sd_config:
      # The subscription ID. Always required.
      subscription_id: <SUBSCRIPTION_ID>

remote_write:
  - url: https://metric-api.newrelic.com/prometheus/v1/write?prometheus_server=NodeExporter
    authorization:
      credentials: YOUR_LICENSE_KEY

Under # Target setup, be sure to insert your <PROJECT>:

# my global config
global:
  scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any time series scraped from this config.
  - job_name: node

    # Target setup 
    gce_sd_config:
      # The GCP Project
      project: <PROJECT>

remote_write:
  - url: https://metric-api.newrelic.com/prometheus/v1/write?prometheus_server=NodeExporter
    authorization:
      credentials: YOUR_LICENSE_KEY

Set up the host to APM relationship

If you're monitoring an app with an APM agent on this Linux server, you'll need to make some additional configurations to enable relationship features in New Relic. These features rely on the relationship between the host and the app.

Relationships require attributes that are dropped by default in Prometheus. To get around this, you can include them through the relabel_configs stanza in the config file.

Sugerencia

You can see all the available meta attributes under the appropriate sd_config in the Prometheus Configuration page.

In the examples below, we show the combination of dynamic discovery with labels. If you're using static targets, just insert the static targets shown above.

For more details, see the Prometheus EC2 documentation.

# my global config
global:
  scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any time series scraped from this config.
  - job_name: node

    # Target setup 
    ec2_sd_configs:
      - region: <EC2_REGION>
        # The AWS API keys. If blank, the environment variables `AWS_ACCESS_KEY_ID`
        # and `AWS_SECRET_ACCESS_KEY` are used.
        access_key: <ACCESS_KEY>
        secret_key: <SECRET_KEY>
        # The port to scrape metrics from. If using the public IP address, this must
        # instead be specified in the relabeling rule.
        # By default node_exporter will expose metrics on 9100
        port: <PORT>
    # Relabel configs
    relabel_configs:
      - source_labels: [__meta_ec2_instance_id]
        target_label: instanceid

remote_write:
  - url: https://metric-api.newrelic.com/prometheus/v1/write?prometheus_server=NodeExporter
    authorization:
      credentials: YOUR_LICENSE_KEY

For more details, see the Prometheus EC2 documentation.

# my global config
global:
  scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any time series scraped from this config.
  - job_name: node

    # Target setup 
    azure_sd_config:
      # The subscription ID. Always required.
      subscription_id: <SUBSCRIPTION_ID>
    # Relabel configs
    relabel_configs:
      - source_labels: [__meta_azure_machine_id]
        target_label: instanceid

remote_write:
  - url: https://metric-api.newrelic.com/prometheus/v1/write?prometheus_server=NodeExporter
    authorization:
      credentials: YOUR_LICENSE_KEY

For more details, see the Prometheus EC2 documentation.

# my global config
global:
  scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
  # The job name is added as a label `job=<job_name>` to any time series scraped from this config.
  - job_name: node

    # Target setup 
    gce_sd_config:
      # The GCP Project
      project: <PROJECT>
    # Relabel configs
    relabel_configs:
      - source_labels: [__meta_gce_instance_id]
        target_label: instanceid

remote_write:
  - url: https://metric-api.newrelic.com/prometheus/v1/write?prometheus_server=NodeExporter
    authorization:
      credentials: YOUR_LICENSE_KEY

Start Prometheus

Now you can start the Prometheus scraper.

Execute the following:

bash

$./prometheus --config.file=./prometheus.yml

Set the scraper to run in the background with the keyboard commands CONTROL + z and bg. In production environments, you'd want to set this up as a service (for example, with systemd).
See your data in the New Relic UI by going to one.newrelic.com > Infrastructure > Hosts.

Node Exporter integration for host monitoring

Prerequisites .css-21sua1{background:none;border:none;width:0;padding:0;}

Download and start Node Exporter

Configurations

Connect Prometheus to New Relic

Set up targets

Static targets

Azure

GCP

Dynamic targets

EC2

Azure

GCP

Set up the host to APM relationship

Sugerencia

EC2

Azure

GCP

Start Prometheus

Prerequisites