Deploy this integration to enable automatic instrumentation of your Python application using OpenTelemetry.

Architecture overview

This integration includes:

  • Installing the OpenTelemetry Python instrumentation packages on your application host
  • Installing the OpenTelemetry collector with Logz.io exporter
  • Running your Python application in conjunction with the OpenTelemetry instrumentation

On deployment, the Python instrumentation automatically captures spans from your application and forwards them to the collector, which exports the data to your Logz.io account.

Setup auto-instrumentation for your locally hosted Python application and send traces to Logz.io

Before you begin, you’ll need:

  • A Python application without instrumentation
  • An active account with Logz.io
  • Port 4317 available on your host system
  • A name defined for your tracing service
Install general Python OpenTelemetry instrumentation components

Run the following commands:

pip3 install opentelemetry-distro
pip3 install opentelemetry-instrumentation
opentelemetry-bootstrap --action=install
pip3 install opentelemetry-exporter-otlp
Set environment variables

After installation, configure the exporter by running the following command:

export OTEL_TRACES_EXPORTER=otlp
export OTEL_RESOURCE_ATTRIBUTES="service.name=<<YOUR-SERVICE-NAME>>"

Replace <<YOUR-SERVICE-NAME>> with the name of your tracing service defined earlier.

Download and configure OpenTelemetry collector

Create a dedicated directory on the host of your Python application and download the OpenTelemetry collector that is relevant to the operating system of your host.

After downloading the collector, create a configuration file config.yaml with the parameters below.

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

If your account is hosted in any region other than us, replace LOGZIO_ACCOUNT_REGION_CODE> with the applicable region code.

receivers:  
  otlp:
    protocols:
      grpc:
      http:

exporters:
  logzio:
    account_token: "<<TRACING-SHIPPING-TOKEN>>"
    #region: "<<LOGZIO_ACCOUNT_REGION_CODE>>" - (Optional): Your logz.io account region code. Defaults to "us". Required only if your logz.io region is different than US East. https://docs.logz.io/user-guide/accounts/account-region.html#available-regions

processors:
  batch:

extensions:
  pprof:
    endpoint: :1777
  zpages:
    endpoint: :55679
  health_check:

service:
  extensions: [health_check, pprof, zpages]
  pipelines:
    traces:
      receivers: [otlp]
      processors: [batch]
      exporters: [logzio]
Start the collector

Run the following command:

<path/to>/otelcontribcol_<VERSION-NAME> --config ./config.yaml
  • Replace <path/to> with the path to the directory where you downloaded the collector.
  • Replace <VERSION-NAME> with the version name of the collector applicable to your system, e.g. otelcontribcol_darwin_amd64.
Run the OpenTelemetry instrumentation in conjunction with your Python application

Run the following command from the directory of your Python application script:

opentelemetry-instrument python3 <YOUR-APPLICATION-SCRIPT>.py

Replace <YOUR-APPLICATION-SCRIPT> with the name of your Python application script.

Check Logz.io for your traces

Give your traces some time to get from your system to ours, and then open Tracing.

Setup auto-instrumentation for your Python application using Docker and send traces to Logz.io

This integration enables you to auto-instrument your Python application and run a containerized OpenTelemetry collector to send your traces to Logz.io. If your application also runs in a Docker container, make sure that both the application and collector containers are on the same network.

Before you begin, you’ll need:

  • A Python application without instrumentation
  • An active account with Logz.io
  • Port 4317 available on your host system
  • A name defined for your tracing service
Install general Python OpenTelemetry instrumentation components

Run the following commands:

pip3 install opentelemetry-distro
pip3 install opentelemetry-instrumentation
opentelemetry-bootstrap --action=install
pip3 install opentelemetry-exporter-otlp
Set environment variables

After installation, configure the exporter by running the following command:

export OTEL_TRACES_EXPORTER=otlp
export OTEL_RESOURCE_ATTRIBUTES="service.name=<<YOUR-SERVICE-NAME>>"

Replace <<YOUR-SERVICE-NAME>> with the name of your tracing service defined earlier.

Pull the Docker image for the OpenTelemetry collector
docker pull logzio/otel-collector-traces
Run the container

When running on a Linux host, use the --network host flag to publish the collector ports:

docker run \
-e LOGZIO_REGION=<<LOGZIO_ACCOUNT_REGION_CODE>> \
-e LOGZIO_TRACES_TOKEN=<<TRACING-SHIPPING-TOKEN>> \
--network host \
logzio/otel-collector-traces

When running on MacOS or Windows hosts, publish the ports using the -p flag:

docker run \
-e LOGZIO_REGION=<<LOGZIO_ACCOUNT_REGION_CODE>> \
-e LOGZIO_TRACES_TOKEN=<<TRACING-SHIPPING-TOKEN>> \
-p 55678-55680:55678-55680 \
-p 1777:1777 \
-p 9411:9411 \
-p 9943:9943 \
-p 6831:6831 \
-p 6832:6832 \
-p 14250:14250 \
-p 14268:14268 \
-p 4317:4317 \
-p 55681:55681 \
logzio/otel-collector-traces

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

If your account is hosted in any region other than us, replace LOGZIO_ACCOUNT_REGION_CODE> with the applicable region code.

Run the OpenTelemetry instrumentation in conjunction with your Python application

Run the following command from the directory of your Python application script:

opentelemetry-instrument python3 `<<YOUR-APPLICATION-SCRIPT>>`.py

Replace <<YOUR-APPLICATION-SCRIPT>> with the name of your Python application script.

Check Logz.io for your traces

Give your traces some time to get from your system to ours, and then open Tracing.

Overview

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-otel-traces 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.

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-otel-traces logzio-helm/logzio-otel-traces

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

If your account is hosted in any region other than us, replace LOGZIO_ACCOUNT_REGION_CODE> with the applicable region code. <<LOGZIO_ACCOUNT_REGION_CODE>> - (Optional): Your logz.io account region code. Defaults to “us”. Required only if your logz.io region is different than US East. https://docs.logz.io/user-guide/accounts/account-region.html#available-regions

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.

Example
helm install logzio-otel-traces logzio-helm/logzio-otel-traces -f my_values.yaml 

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-otel-traces deployment, use the following command:

helm uninstall logzio-otel-traces