HAProxy
Use this Splunk Observability Cloud integration for the HAProxy monitor. See benefits, install, configuration, and metrics
The Splunk Distribution of the OpenTelemetry Collector uses the Smart Agent receiver with the HAProxy monitor type to monitor an HAProxy instance. This monitor requires HAProxy 1.5+.
Benefits
After you configure the integration, you can access these features:
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View metrics. You can create your own custom dashboards, and most monitors provide built-in dashboards as well. For information about dashboards, see View dashboards in Splunk Observability Cloud.
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View a data-driven visualization of the physical servers, virtual machines, AWS instances, and other resources in your environment that are visible to Infrastructure Monitoring. For information about navigators, see Use navigators in Splunk Infrastructure Monitoring.
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Access the Metric Finder and search for metrics sent by the monitor. For information, see Search the Metric Finder and Metadata Catalog.
Set up
Socket configuration
The location of the HAProxy socket file is defined in the HAProxy configuration file, as shown in the following example:
global
daemon
stats socket /var/run/haproxy.sock
stats timeout 2m
haproxy
plugin configuration file, specify the TCP address for the
socket. For example, you can use
https://www.example.com/socket:9000
. In the haproxy.cfg file, change
the stats socket to use the same TCP address and port, as shown in the
following example.global
daemon
stats socket localhost:9000
stats timeout 2m
To use a more restricted TCP socket, follow these steps:
Define a backend server that listens to stats on localhost.
Define a frontend proxy server that communicates with the back-end server on a different port.
Use ACLs on both servers to control access. Depending on how restrictive your socket is, you might need to add the signalfx-agent user to the haproxy group as follows:
sudo usermod -a -G haproxy signalfx-agent
The following configuration file shows how to define a back-end server and a frontend proxy:
global
daemon
stats socket localhost:9000
stats timeout 2m
backend stats-backend
mode tcp
server stats-localhost localhost:9000
frontend stats-frontend
bind *:9001
default_backend stats-backend
acl ...
acl ...
SELinux setup
If you have SELinux activated, create a SELinux policy package by downloading the type enforcement file to some place on your server. Run the following commands to create and install the policy package:
$ checkmodule -M -m -o haproxy.mod haproxy.te
checkmodule: loading policy configuration from haproxy.te
checkmodule: policy configuration loaded
checkmodule: writing binary representation (version 17) to haproxy.mod
$ semodule_package -o haproxy.pp -m haproxy.mod
$ sudo semodule -i haproxy.pp
$ sudo reboot
Installation
Follow these steps to deploy this integration:
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Deploy the Splunk Distribution of the OpenTelemetry Collector to your host or container platform:
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Configure the integration, as described in the Configuration section.
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Restart the Splunk Distribution of the OpenTelemetry Collector.
Configuration
To use this integration of a Smart Agent monitor with the Collector:
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Include the Smart Agent receiver in your configuration file.
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Add the monitor type to the Collector configuration, both in the receiver and pipelines sections.
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See how to Use Smart Agent monitors with the Collector.
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See how to set up the Smart Agent receiver.
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For a list of common configuration options, refer to Common configuration settings for monitors.
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Learn more about the Collector at Get started: Understand and use the Collector.
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Example
To activate this integration, add the following to your Collector configuration:
receivers:
smartagent/haproxy:
type: haproxy
... # Additional config
Next, add the monitor to the service.pipelines.metrics.receivers
section of your configuration file:
service:
pipelines:
metrics:
receivers: [smartagent/haproxy]
Configuration options
The following table shows the configuration options for this monitor:
Option | Required | Type | Description |
---|---|---|---|
| no |
| Path to a python binary that should be used to execute the Python code. If not set, a built-in runtime will be used. Can include arguments to the binary as well. |
| yes |
| |
| no |
| (default: |
| no |
| A list of all the pxname(s) or svname(s) that you want to monitor (e.g. |
| no |
| Deprecated. Please use datapointsToExclude on the monitorconfig block instead. |
| no |
| (default: |
Metrics
The following metrics are available for this integration:
https://raw.githubusercontent.com/signalfx/splunk-otel-collector/main/internal/signalfx-agent/pkg/monitors/haproxy/metadata.yaml
Notes
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To learn more about the available in Splunk Observability Cloud see Metric types.
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In host-based subscription plans, default metrics are those metrics included in host-based subscriptions in Splunk Observability Cloud, such as host, container, or bundled metrics. Custom metrics are not provided by default and might be subject to charges. See Metric categories for more information.
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In MTS-based subscription plans, all metrics are custom.
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To add additional metrics, see how to configure
extraMetrics
in Add additional metrics.
Troubleshooting
If you are a Splunk Observability Cloud customer and are not able to see your data in Splunk Observability Cloud, you can get help in the following ways.
Available to Splunk Observability Cloud customers
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Submit a case in the Splunk Support Portal.
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Contact Splunk Support.
Available to prospective customers and free trial users
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Ask a question and get answers through community support at Splunk Answers.
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Join the Splunk #observability user group Slack channel to communicate with customers, partners, and Splunk employees worldwide. To join, see Chat groups.