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values.yaml | 1 month ago |
The helm chart installs OpenTelemetry Collector in kubernetes cluster.
Add OpenTelemetry Helm repository:
helm repo add open-telemetry https://open-telemetry.github.io/opentelemetry-helm-charts
To install the chart with the release name my-opentelemetry-collector, run the following command:
helm install my-opentelemetry-collector open-telemetry/opentelemetry-collector --set mode=<value> --set image.repository="otel/opentelemetry-collector-k8s" --set command.name="otelcol-k8s"
Where the mode
value needs to be set to one of daemonset
, deployment
or statefulset
.
For an in-depth walk through getting started in Kubernetes using this helm chart, see OpenTelemetry Kubernetes Getting Started.
See UPGRADING.md.
OpenTelemetry Collector recommends to bind receivers' servers to addresses that limit connections to authorized users. For this reason, by default the chart binds all the Collector's endpoints to the pod's IP.
More info is available in the Security Best Practices docummentation
Some care must be taken when using hostNetwork: true
, as then OpenTelemetry Collector will listen on all the addresses in the host network namespace.
By default this chart will deploy an OpenTelemetry Collector with three pipelines (logs, metrics and traces) and debug exporter enabled by default. The collector can be installed either as daemonset (agent), deployment or stateful set.
Example: Install collector as a deployment.
mode: deployment
By default collector has the following receivers enabled:
The Collector's configuration is set via the config
section. Default components can be removed with null
. Remember that lists in helm are not merged, so if you want to modify any default list you must specify all items, including any default items you want to keep.
Example: Disable metrics and logs pipelines and non-otlp receivers:
config:
receivers:
jaeger: null
prometheus: null
zipkin: null
service:
pipelines:
traces:
receivers:
- otlp
metrics: null
logs: null
The chart also provides several presets, detailed below, to help configure important Kubernetes components. For more details on each component, see Kubernetes Collector Components.
The collector can be used to collect logs sent to standard output by Kubernetes containers. This feature is disabled by default. It has the following requirements:
To enable this feature, set the presets.logsCollection.enabled
property to true
.
Here is an example values.yaml
:
mode: daemonset
presets:
logsCollection:
enabled: true
includeCollectorLogs: true
The way this feature works is it adds a filelog
receiver on the logs
pipeline. This receiver is preconfigured
to read the files where Kubernetes container runtime writes all containers' console output to.
The container logs pipeline uses the debug
exporter by default.
Paired with the default filelog
receiver that receives all containers' console output,
it is easy to accidentally feed the exported logs back into the receiver.
Also note that using the --verbosity=detailed
option for the debug
exporter causes it to output
multiple lines per single received log, which when looped, would amplify the logs exponentially.
To prevent the looping, the default configuration of the receiver excludes logs from the collector's containers.
If you want to include the collector's logs, make sure to replace the debug
exporter
with an exporter that does not send logs to collector's standard output.
Here's an example values.yaml
file that replaces the default debug
exporter on the logs
pipeline
with an otlphttp
exporter that sends the container logs to https://example.com:55681
endpoint.
It also clears the filelog
receiver's exclude
property, for collector logs to be included in the pipeline.
mode: daemonset
presets:
logsCollection:
enabled: true
includeCollectorLogs: true
config:
exporters:
otlphttp:
endpoint: https://example.com:55681
service:
pipelines:
logs:
exporters:
- otlphttp
The collector can be configured to add Kubernetes metadata, such as pod name and namespace name, as resource attributes to incoming logs, metrics and traces.
This feature is disabled by default. It has the following requirements:
To enable this feature, set the presets.kubernetesAttributes.enabled
property to true
.
Here is an example values.yaml
:
mode: daemonset
presets:
kubernetesAttributes:
enabled: true
# You can also configure the preset to add all of the associated pod's labels and annotations to you telemetry.
# The label/annotation name will become the resource attribute's key.
extractAllPodLabels: true
extractAllPodAnnotations: true
The collector can be configured to collect node, pod, and container metrics from the API server on a kubelet.
This feature is disabled by default. It has the following requirements:
To enable this feature, set the presets.kubeletMetrics.enabled
property to true
.
Here is an example values.yaml
:
mode: daemonset
presets:
kubeletMetrics:
enabled: true
The collector can be configured to collects cluster-level metrics from the Kubernetes API server. A single instance of this receiver can be used to monitor a cluster.
This feature is disabled by default. It has the following requirements:
To enable this feature, set the presets.clusterMetrics.enabled
property to true
.
Here is an example values.yaml
:
mode: deployment
replicaCount: 1
presets:
clusterMetrics:
enabled: true
The collector can be configured to collect Kubernetes events.
This feature is disabled by default. It has the following requirements:
To enable this feature, set the presets.kubernetesEvents.enabled
property to true
.
Here is an example values.yaml
:
mode: deployment
replicaCount: 1
presets:
kubernetesEvents:
enabled: true
The collector can be configured to collect host metrics for Kubernetes nodes.
This feature is disabled by default. It has the following requirements:
To enable this feature, set the presets.hostMetrics.enabled
property to true
.
Here is an example values.yaml
:
mode: daemonset
presets:
hostMetrics:
enabled: true
At this time, Prometheus CRDs are supported but other CRDs are not.
The values.yaml file contains information about all other configuration options for this chart.
For more examples see Examples.