You can use a Helm chart to ship Traces to Logz.io via the OpenTelemetry collector. The Helm tool is used to manage packages of pre-configured Kubernetes resources that use charts.

logzio-k8s-telemetry allows you to ship traces from your Kubernetes cluster to Logz.io with the OpenTelemetry collector.

This chart is a fork of the opentelemtry-collector Helm chart. The main repository for Logz.io helm charts are logzio-helm.

This integration uses OpenTelemetry Collector Contrib, not the OpenTelemetry Collector Core.

Sending logs from nodes with taints

If you want to ship logs from any of the nodes that have a taint, make sure that the taint key values are listed in your in your daemonset/deployment configuration as follows:

- key: 

To determine if a node uses taints as well as to display the taint keys, run:

kubectl get nodes -o json | jq ".items[]|{name:.metadata.name, taints:.spec.taints}"

Standard configuration

Deploy the Helm chart

Add logzio-helm repo as follows:

helm repo add logzio-helm https://logzio.github.io/logzio-helm
helm repo update
Run the Helm deployment code
helm install  \
--set config.exporters.logzio.region=<<LOGZIO_ACCOUNT_REGION_CODE>> \
--set config.exporters.logzio.account_token=<<TRACING-SHIPPING-TOKEN>> \
logzio-k8s-telemetry logzio-helm/logzio-k8s-telemetry

Replace <<TRACING-SHIPPING-TOKEN>> with the token of the account you want to ship to.

Replace <LOGZIO_ACCOUNT_REGION_CODE> with the applicable region code.

Check Logz.io for your traces

Give your traces some time to get from your system to ours, then open Logz.io.

Customizing Helm chart parameters

Configure customization options

You can use the following options to update the Helm chart parameters:

  • Specify parameters using the --set key=value[,key=value] argument to helm install.

  • Edit the values.yaml.

  • Overide default values with your own my_values.yaml and apply it in the helm install command.

If required, you can add the following optional parameters as environment variables:

Parameter Description
secrets.SamplingLatency Threshold for the spand latency - all traces slower than the threshold value will be filtered in. Default 500.
secrets.SamplingProbability Sampling percentage for the probabilistic policy. Default 10.

You can run the logzio-k8s-telemetry chart with your custom configuration file that takes precedence over the values.yaml of the chart.

For example:

The collector will sample ALL traces where is some span with error with this example configuration.

            name: error-in-policy,
            type: status_code,
            status_code: {status_codes: [ERROR]}
            name: slow-traces-policy,
            type: latency,
            latency: {threshold_ms: 400}
            name: health-traces,
            type: and,
            and: {
                  name: ping-operation,
                  type: string_attribute,
                  string_attribute: { key: http.url, values: [ /health ] }
                  name: main-service,
                  type: string_attribute,
                  string_attribute: { key: service.name, values: [ main-service ] }
                  name: probability-policy-1,
                  type: probabilistic,
                  probabilistic: {sampling_percentage: 1}
            name: probability-policy,
            type: probabilistic,
            probabilistic: {sampling_percentage: 20}
helm install \
--set traces.enabled=true \
--set secrets.TracesToken=<<TRACES-SHIPPING-TOKEN>> \
--set secrets.LogzioRegion=<<logzio-region>> \
--set secrets.p8s_logzio_name=<<P8S-LOGZIO-NAME>> \
--set secrets.env_id=<<ENV-ID>> \
logzio-k8s-telemetry logzio-helm/logzio-k8s-telemetry

Replace <<TRACING-SHIPPING-TOKEN>> with the token of the account you want to ship to.

Replace <LOGZIO_ACCOUNT_REGION_CODE> with the applicable region code.

Uninstalling the Chart

The uninstall command is used to remove all the Kubernetes components associated with the chart and to delete the release.

To uninstall the logzio-k8s-telemetry deployment, use the following command:

helm uninstall logzio-k8s-telemetry