Kong Gateway 🔗

The Splunk Distribution of OpenTelemetry Collector uses the Smart Agent receiver with the kong monitor type to provide service traffic metrics using kong-plugin-signalfx, which emits metrics for configurable request and response lifecycle groups, including:

Counters for response counts
Counters for cumulative response and request sizes
Counters for cumulative request, upstream, and Kong latencies

You can partition request and response lifecycle groups by:

API or Service Name/ID
Route ID
Request HTTP Method
Response HTTP Status Code

In addition, the integration provides system-wide connection statistics, including:

A counter for total fielded requests
Gauges for active connections and their various states
A gauge for database connectivity

This integration is only available on Kubernetes and Linux, and requires version 0.11.2 or higher of Kong and version 0.0.1 or higher of kong-plugin-signalfx. This integration is only supported for Kong Gateway Community Edition (CE).

Benefits 🔗

After you configure the integration, you can access these features:

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.
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.
Access the Metric Finder and search for metrics sent by the monitor. For information, see Search the Metric Finder and Metadata catalog.

Installation 🔗

Follow these steps to deploy this integration:

Deploy the Splunk Distribution of OpenTelemetry Collector to your host or container platform:
- Install on Kubernetes
- Install on Linux
Configure the monitor, as described in the Configuration section.
Restart the Splunk Distribution of OpenTelemetry Collector.

Kong installation 🔗

In addition to the Collector, you also need both the kong-plugin-signalfx Kong plugin and the kong SignalFx monitor to activate this integration.

Follow these steps to deploy the integration:

Run the following commands on each Kong server with a configured LUA_PATH:

..code-block:: bash

luarocks install kong-plugin-signalfx # Or directly from the source repo git clone git@github.com:signalfx/kong-plugin-signalfx.git cd kong-plugin-signalfx luarocks make # Then notify Kong of the plugin or add to your existing configuration file echo ‘custom_plugins = signalfx’ > /etc/kong/signalfx.conf
Add the following lua_shared_dict memory declarations to the NGINX configuration file of Kong, or add them directly to /usr/local/share/lua/5.1/kong/templates/nginx_kong.lua if you are using Kong default setup:
```
lua_shared_dict kong_signalfx_aggregation 10m;
lua_shared_dict kong_signalfx_locks 100k;
```

Reload Kong to make the plugin available and install it globally:

kong reload -c /etc/kong/signalfx.conf
# Or specify your modified configuration file
curl -X POST -d "name=signalfx" http://localhost:8001/plugins``

Deploy the Splunk Distribution of OpenTelemetry Collector to your host or container platform.
Configure the monitor, as described in the next section.

Configuration 🔗

To use this integration of a Smart Agent monitor with the Collector:

Include the Smart Agent receiver in your configuration file.
Add the monitor type to the Collector configuration, both in the receiver and pipelines sections.

See how to Use Smart Agent monitors with the Collector
See how to set up the Smart Agent receiver
Learn about config options in Collector default configuration

Example 🔗

To activate this integration, add the following to your Collector configuration:

receivers:
  smartagent/kong:
   type: collectd/kong
   host: 127.0.0.1
   port: 8001
   metrics:
    - metric: request_latency
      report: true
    - metric: connections_accepted
      report: false
    ...  # Additional config

Next, add the monitor to the service.pipelines.metrics.receivers section of your configuration file:

service:
  pipelines:
    metrics:
      receivers: [smartagent/kong]

Filter example 🔗

The following is a sample configuration with custom /signalfx route and filter lists:

receivers:
  smartagent/kong:
    type: collectd/kong
    host: 127.0.0.1
    port: 8443
    url: https://127.0.0.1:8443/routed_signalfx
    authHeader:
      header: Authorization
      value: HeaderValue
    metrics:
      - metric: request_latency
        report: true
    reportStatusCodeGroups: true
    statusCodes:
      - 202
      - 403
      - 405
      - 419
      - "5*"
    serviceNamesBlacklist:
      - "*SomeService*"

Kong configuration 🔗

Like most Kong plugins, you can configure the SignalFx kong integration globally or by specific service, route, API, or consumer object contexts by making POST requests to each plugins endpoint. For example:

curl -X POST -d "name=signalfx" http://localhost:8001/services/<my_service>/plugins
curl -X POST -d "name=signalfx" http://localhost:8001/routes/<my_route_id>/plugins

For each request made to the respective registered object context, the kong integration obtains metric content and aggregates it for automated retrieval at the /signalfx endpoint of the Admin API. Although you can activate request contexts for specific Consumer objects, consumer IDs or unique visitor metrics are not calculated.

By default, the kong integration aggregates metrics by a context determined by the HTTP method of the request and by the status code of the response. If you’re monitoring a large infrastructure with hundreds of routes, grouping by HTTP method might be too granular. You can deactivate context grouping by setting aggregate_by_http_method to false:

curl -X POST -d "name=signalfx" -d "config.aggregate_by_http_method=false" http://localhost:8001/plugins
# or to edit an existing plugin
curl -X PATCH -d "config.aggregate_by_http_method=false" http://localhost:8001/plugins/<sfx_plugin_id>

Metrics 🔗

These metrics are available for this integration:

Notes 🔗

To learn more about the available in Observability Cloud see Metric types
In host-based subscription plans, default metrics are those metrics included in host-based subscriptions in 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.
In MTS-based subscription plans, all metrics are custom.
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

Submit a case in the Splunk Support Portal .
Call Splunk Customer Support .

Available to prospective customers and free trial users

Ask a question and get answers through community support at Splunk Answers .
Join the Splunk #observability user group Slack channel to communicate with customers, partners, and Splunk employees worldwide. To join, see Chat groups in the Get Started with Splunk Community manual.

To learn about even more support options, see Splunk Customer Success .

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