Getting Started • Getting Involved • Migrating from Smart Agent
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The Splunk OpenTelemetry Connector for Kubernetes is a Helm chart for the Splunk Distribution of OpenTelemetry Collector. This chart creates a Kubernetes DaemonSet along with other Kubernetes objects in a Kubernetes cluster and provides a unified way to receive, process and export metric, trace, and log data for:
Installations that use this distribution can receive direct help from Splunk's support teams. Customers are free to use the core OpenTelemetry OSS components (several do!) and we will provide best effort guidance to them for any issues that crop up, however only the Splunk distributions are in scope for official Splunk support and support-related SLAs.
This distribution currently supports:
- Splunk APM via the
sapm
exporter. Theotlphttp
exporter can be used with a custom configuration. More information available here. - Splunk Infrastructure
Monitoring
via the
signalfx
exporter. More information available here. - Splunk Log Observer via
the
splunk_hec
exporter. - Splunk Cloud or
Splunk
Enterprise via
the
splunk_hec
exporter.
🚧 This project is currently in BETA. It is officially supported by Splunk. However, breaking changes MAY be introduced.
This helm chart is tested and works with default configurations on the following Kubernetes distributions:
- Vanilla (unmodified version) Kubernetes
- Amazon Elastic Kubernetes Service
- Azure Kubernetes Service
- Google Kubernetes Engine
- Red Hat OpenShift
While this helm chart should work for other Kubernetes distributions, it may require additional configurations applied to values.yaml.
The following prerequisites are required to use the helm chart:
-
Helm 3 (Helm 2 is not supported)
-
To send data to Splunk Enterprise/Cloud
- HEC Token
- HEC Endpoint
-
To send data to Splunk Observability Cloud
In order to install Splunk OpenTelemetry Connector in a k8s cluster, at least
one of the destinations (splunkPlatform
or splunkObservability
) has to be
configured.
For Splunk Enterprise/Cloud the following parameters are required:
splunkPlatform.endpoint
: URL to a Splunk instance, e.g. "http://localhost:8088/services/collector"splunkPlatform.token
: Splunk HTTP Event Collector token
For Splunk Observability Cloud the following parameters are required:
splunkObservability.realm
: Splunk realm to send telemetry data to.splunkObservability.accessToken
: Your Splunk Observability org access token.clusterName
: arbitrary value that will identify your Kubernetes cluster in Splunk Observability Cloud.
To deploy the chart to send data to Splunk Observability Cloud run the following commands replacing the parameters above with their appropriate values.
$ helm repo add splunk-otel-collector-chart https://signalfx.github.io/splunk-otel-collector-chart
$ helm install my-splunk-otel-collector --set="splunkObservability.realm=us0,splunkObservability.accessToken=xxxxxx,clusterName=my-cluster" splunk-otel-collector-chart/splunk-otel-collector
Instead of setting helm values as arguments a yaml file can be provided:
$ helm install my-splunk-otel-collector --values my_values.yaml splunk-otel-collector-chart/splunk-otel-collector
To uninstall/delete a deployment with name my-splunk-otel-collector
:
$ helm delete my-splunk-otel-collector
The command removes all the Kubernetes components associated with the chart and deletes the release.
The values.yaml lists all supported configurable parameters for this chart, along with detailed explanation. Read through it to understand how to configure this chart.
Also check examples of chart configuration. This also includes a guide to deploy for the k8s cluster with the windows worker node.
At the minimum you need to configure the following values to send data to Splunk Enterprise/Cloud.
splunkPlatform:
token: xxxxxx
endpoint: http://localhost:8088/services/collector
At the minimum you need to configure the following values to send data to Splunk Observability Cloud.
splunkObservability:
accessToken: xxxxxx
realm: us0
clusterName: my-k8s-cluster
Use the provider
parameter to provide information about the cloud provider, if any.
aws
- Amazon Web Servicesgcp
- Google Cloudazure
- Microsoft Azure
This value can be omitted if none of the values apply.
Use the distro
parameter to provide information about underlying Kubernetes
deployment. This parameter allows the connector to automatically scrape
additional metadata. The supported options are:
eks
- Amazon EKSgke
- Google GKEaks
- Azure AKSopenshift
- Red Hat OpenShift
This value can be omitted if none of the values apply.
Optional environment
parameter can be used to specify an additional deployment.environment
attribute that will be added to all the telemetry data. It will help Splunk Observability
users to investigate data coming from different source separately.
Value examples: development, staging, production, etc.
environment: production
By default all telemetry data (metrics, traces and logs) is collected from the Kubernetes cluster and sent to one of (or both) configured destinations. It's possible to disable any kind of telemetry for a specific destination. For example, the following configuration will send logs to Splunk Platform and metrics and traces to Splunk Observability assuming that both destinations are configured properly.
splunkObservability:
metricsEnabled: true
tracesEnabled: true
logsEnabled: false
splunkPlatform:
metricsEnabled: false
logsEnabled: true
The helm chart currently utilizes fluentd for Kubernetes logs collection. Logs collected with fluentd are sent through Splunk OTel Collector agent which does all the necessary metadata enrichment.
OpenTelemetry Collector also has native functionality for logs collection. This chart soon will be migrated from fluentd to the OpenTelemetry logs collection.
You already have an option to use OpenTelemetry logs collection instead of fluentd. The following configuration can be used to achieve that:
logsEngine: otel
There are following known limitations of native OTel logs collection:
service.name
attribute will not be automatically constructed in istio environment. This means that correlation between logs and traces will not work in Splunk Observability. Logs collection with fluentd is still recommended if chart deployed withautodetect.istio=true
.- Journald logs cannot be collected natively by Splunk OTel Collector yet.
Use autodetect
config option to enable additional telemetry sources.
Set autodetect.prometheus=true
if you want the otel-collector agent to scrape
prometheus metrics from pods that have generic prometheus-style annotations:
prometheus.io/scrape: true
: Prometheus metrics will be scraped only from pods having this annotation;prometheus.io/path
: path to scrape the metrics from, default/metrics
;prometheus.io/port
: port to scrape the metrics from, default9090
.
Set autodetect.istio=true
, if the otel-collector agent in running in Istio
environment, to make sure that all traces, metrics and logs reported by Istio
collected in a unified manner.
For example to enable both Prometheus and Istio telemetry add the following
lines to your values.yaml
file:
autodetect:
istio: true
prometheus: true
The rendered directory contains pre-rendered Kubernetes resource manifests.
If you have any extra receivers that require access to node's files or directories that are not mounted by default, you need to setup additional volume mounts.
For example, if you have the following smartagent/docker-container-stats
receiver added to your configuration:
otelAgent:
config:
receivers:
smartagent/docker-container-stats:
type: docker-container-stats
dockerURL: unix:///hostfs/var/run/docker.sock
You need to mount the docker socket to your container as follows:
extraVolumeMounts:
- mountPath: /hostfs/var/run/docker.sock
name: host-var-run-docker
readOnly: true
extraVolumes:
- name: host-var-run-docker
hostPath:
path: /var/run/docker.sock
#246 Simplify configuration for switching to native OTel logs collection
The config to enable native OTel logs collection was changed from
fluentd:
enabled: false
logsCollection:
enabled: true
to
logsEngine: otel
Enabling both engines is not supported anymore. If you need that, you can install fluentd separately.
The following parameters are now deprecated and moved under
splunkObservability
group. They need to be updated in your custom values.yaml
files before backward compatibility is discontinued.
Required parameters:
splunkRealm
changed tosplunkObservability.realm
splunkAccessToken
changed tosplunkObservability.accessToken
Optional parameters:
ingestUrl
changed tosplunkObservability.ingestUrl
apiUrl
changed tosplunkObservability.apiUrl
metricsEnabled
changed tosplunkObservability.metricsEnabled
tracesEnabled
changed tosplunkObservability.tracesEnabled
logsEnabled
changed tosplunkObservability.logsEnabled
#163 Auto-detection of prometheus metrics is disabled by default: If you rely on automatic prometheus endpoints detection to scrape prometheus metrics from pods in your k8s cluster, make sure to add this configuration to your values.yaml:
autodetect:
prometheus: true