Sending traces from instrumented Docker containers using OpenTelemetry

Overview
Setup
Troubleshooting

Overview

This integration enables you to send traces from your instrumented applications running in Docker. This is achieved by using a dedicated Logz.io OpenTelemetry collector deployed in the same Docker network as your application. This collector configuration can collect traces from:

OpenTelemetry
Zipkin
Jaeger
OpenCensus

Before you begin, you’ll need:

An instrumented application running in a Docker network
An active account with Logz.io
A name defined for your tracing service. You will need it to identify the traces in Logz.io.

In the same Docker network as your application:

Pull the Docker image for the OpenTelemetry collector

docker pull otel/opentelemetry-collector-contrib:0.60.0

Create a configuration file

Create a file config.yaml with the following content:

receivers:
  jaeger:
    protocols:
      thrift_compact:
        endpoint: "0.0.0.0:6831"
      thrift_binary:
        endpoint: "0.0.0.0:6832"
      grpc:
        endpoint: "0.0.0.0:14250"
      thrift_http:
        endpoint: "0.0.0.0:14268"
  opencensus:
    endpoint: "0.0.0.0:55678"
  otlp:
    protocols:
      grpc:
        endpoint: "0.0.0.0:4317"
      http:
        endpoint: "0.0.0.0:4318"
  zipkin:
    endpoint: "0.0.0.0:9411"


exporters:
  logzio/traces:
    account_token: "<<TRACING-SHIPPING-TOKEN>>"
    region: "<<LOGZIO_ACCOUNT_REGION_CODE>>"

  logging:

processors:
  batch:
  tail_sampling:
    policies:
      [
        {
          name: policy-errors,
          type: status_code,
          status_code: {status_codes: [ERROR]}
        },
        {
          name: policy-slow,
          type: latency,
          latency: {threshold_ms: 1000}
        }, 
        {
          name: policy-random-ok,
          type: probabilistic,
          probabilistic: {sampling_percentage: 10}
        }        
      ]

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

service:
  extensions: [health_check, pprof, zpages]
  pipelines:
    traces:
      receivers: [opencensus, jaeger, zipkin, otlp]
      processors: [tail_sampling, batch]
      exporters: [logging, logzio/traces]

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.

The tail_sampling defines the decision to sample a trace after the completion of all the spans in a request. By default, this configuration collects all traces that have a span that was completed with an error, all traces that are slower than 1000 ms, and 10% of the rest of the traces.

You can add more policy configurations to the processor. For more on this, refer to OpenTelemetry Documentation.

The configurable parameters in the Logz.io default configuration are:

Parameter	Description	Default
threshold_ms	Threshold for the spand latency - all traces slower than the threshold value will be filtered in.	1000
sampling_percentage	Sampling percentage for the probabilistic policy.	10

If you already have an OpenTelemetry installation, add the following parameters to the configuration file of your existing OpenTelemetry collector:

Under the exporters list

  logzio/traces:
    account_token: <<TRACING-SHIPPING-TOKEN>>
    region: <<LOGZIO_ACCOUNT_REGION_CODE>>

Under the service list:

  extensions: [health_check, pprof, zpages]
  pipelines:
    traces:
      receivers: [opencensus, jaeger, zipkin, otlp]
      processors: [tail_sampling, batch]
      exporters: [logzio/traces]

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.

An example configuration file looks as follows:

receivers:  
  otlp:
    protocols:
      grpc:
      http:

exporters:
  logzio/traces:
    account_token: "<<TRACING-SHIPPING-TOKEN>>"
    region: "<<LOGZIO_ACCOUNT_REGION_CODE>>"

processors:
  batch:
  tail_sampling:
    policies:
      [
        {
          name: policy-errors,
          type: status_code,
          status_code: {status_codes: [ERROR]}
        },
        {
          name: policy-slow,
          type: latency,
          latency: {threshold_ms: 1000}
        }, 
        {
          name: policy-random-ok,
          type: probabilistic,
          probabilistic: {sampling_percentage: 10}
        }        
      ]

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

service:
  extensions: [health_check, pprof, zpages]
  pipelines:
    traces:
      receivers: [opencensus, jaeger, zipkin, otlp]
      processors: [tail_sampling, batch]
      exporters: [logzio/traces]

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.

You can add more policy configurations to the processor. For more on this, refer to OpenTelemetry Documentation.

The configurable parameters in the Logz.io default configuration are:

Parameter	Description	Default
threshold_ms	Threshold for the spand latency - all traces slower than the threshold value will be filtered in.	1000
sampling_percentage	Sampling percentage for the probabilistic policy.	10

Run the container

Mount the config.yaml as volume to the docker run command and run it as follows.

Linux

docker run  \
--network host \
-v <PATH-TO>/config.yaml:/etc/otelcol/config.yaml \
otel/opentelemetry-collector-contrib:0.60.0

Replace <PATH-TO> to the path to the config.yaml file on your system.

Windows

docker run  \
-v <PATH-TO>/config.yaml:/etc/otelcol/config.yaml \
-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 \
otel/opentelemetry-collector-contrib:0.60.0

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.

Run the application

Normally, when you run the OTEL collector in a Docker container, your application will run in separate containers on the same host. In this case, you need to make sure that all your application containers share the same network as the OTEL collector container. One way to achieve this, is to run all containers, including the OTEL collector, with a Docker-compose configuration. Docker-compose automatically makes sure that all containers with the same configuration are sharing the same network.

Run the application to generate traces.

Check Logz.io for your traces

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

This section contains some guidelines for handling errors that you may encounter when trying to collect traces with OpenTelemetry.

Overview
- In the same Docker network as your application:
Problem: No traces are sent

Problem: No traces are sent

The code has been instrumented, but the traces are not being sent.

Possible cause - Collector not installed

The OpenTelemetry collector may not be installed on your system.

Suggested remedy

Check if you have an OpenTelemetry collector installed and configured to receive traces from your hosts.

Possible cause - Collector path not configured

If the collector is installed, it may not have the correct endpoint configured for the receiver.

Suggested remedy

Check that the configuration file of the collector lists the following endpoints:

receivers:
  jaeger:
    protocols:
      thrift_compact:
        endpoint: "0.0.0.0:6831"
      thrift_binary:
        endpoint: "0.0.0.0:6832"
      grpc:
        endpoint: "0.0.0.0:14250"
      thrift_http:
        endpoint: "0.0.0.0:14268"
  opencensus:
    endpoint: "0.0.0.0:55678"
  otlp:
    protocols:
      grpc:
        endpoint: "0.0.0.0:4317"
      http:
        endpoint: "0.0.0.0:4318"
  zipkin:
    endpoint: "0.0.0.0:9411"

In the instrumentation code, make sure that the endpoint is specified correctly. Refer to our tracing documentation for more on this.

Possible cause - Traces not genereated

If the collector is installed and the endpoints are properly configured, the instrumentation code may be incorrect.

Suggested remedy

Check if the instrumentation can output traces to a console exporter.
Use a web-hook to check if the traces are going to the output.
Use the metrics endpoint of the collector (http://<>:8888/metrics) to see the number of spans received per receiver and the number of spans sent to the Logz.io exporter.

Replace <<COLLECTOR-HOST>> with the address of your collector host, e.g. localhost, if the collector is hosted locally.

If the above steps do not work, refer to our tracing documentation and re-instrument the application.

Possible cause - Wrong exporter/protocol/endpoint

If traces are generated but not send, the collector may be using incorrect exporter, protocol and/or endpoint.

The correct endpoints are:

   receivers:
     jaeger:
       protocols:
         thrift_compact:
           endpoint: "<<COLLECTOR-URL>>:6831"
         thrift_binary:
           endpoint: "<<COLLECTOR-URL>>:6832"
         grpc:
           endpoint: "<<COLLECTOR-URL>>:14250"
         thrift_http:
           endpoint: "<<COLLECTOR-URL>>:14268"
     opencensus:
       endpoint: "<<COLLECTOR-URL>>:55678"
     otlp:
       protocols:
         grpc:
           endpoint: "<<COLLECTOR-URL>>:4317"
         http:
           endpoint: "<<COLLECTOR-URL>>:4318/v1/traces"
     zipkin:
       endpoint: "<<COLLECTOR-URL>>:9411/api/v2/spans"

Suggested remedy

Activate debug logs in the configuration file of the collector as follows:
```
service:
  telemetry:
    logs:
      level: "debug"
```

Debug logs indicate the status code of the http/https post request.

If the post request is not successful, check if the collector is configured to use the correct exporter, protocol, and/or endpoint.

If the post request is successful, there will be an additional log with the status code 200. If the post request failed for some reason, there would be another log with the reason for the failure.

Possible cause - Collector failure

If the debug logs are sent, but the traces are still not generated, the collector logs need to be investigated.

Suggested remedy

On Linux and MacOS, see the logs for the collector:

journalctl | grep otelcol

To only see errors:

journalctl | grep otelcol | grep Error

Otherwise, navigate to the following URL - http://localhost:8888/metrics

This is the endpoint to access the collector metrics in order to see different events that might happen within the collector - receiving spans, sending spans as well as other errors.

Possible cause - Exporter failure

Traces may not be generated if the exporter is not configured properly.

Suggested remedy

If you are unable to export traces to a destination, this may be caused by the following:

There is a network configuration issue
The exporter configuration is incorrect
The destination is unavailable

To investigate this issue:

Make sure that the exporters and service: pipelines are configured correctly.
Check the collector logs as well as zpages for potential issues.
Check your network configuration, such as firewall, DNS, or proxy.

For example, those metrics can provide information about the exporter:

# HELP otelcol_exporter_enqueue_failed_metric_points Number of metric points failed to be added to the sending queue.

# TYPE otelcol_exporter_enqueue_failed_metric_points counter
otelcol_exporter_enqueue_failed_metric_points{exporter="logging",service_instance_id="0582dab5-efb8-4061-94a7-60abdc9867e1",service_version="latest"} 0

Possible cause - Receiver failure

Traces may not be generated if the receiver is not configured properly.

Suggested remedy

If you are unable to receive data, this may be caused by the following:

There is a network configuration issue
The receiver configuration is incorrect
The receiver is defined in the receivers section, but not enabled in any pipelines
The client configuration is incorrect

Those metrics can provide about the receiver:

# HELP otelcol_receiver_accepted_spans Number of spans successfully pushed into the pipeline.

# TYPE otelcol_receiver_accepted_spans counter
otelcol_receiver_accepted_spans{receiver="otlp",service_instance_id="0582dab5-efb8-4061-94a7-60abdc9867e1",service_version="latest",transport="grpc"} 34


# HELP otelcol_receiver_refused_spans Number of spans that could not be pushed into the pipeline.

# TYPE otelcol_receiver_refused_spans counter
otelcol_receiver_refused_spans{receiver="otlp",service_instance_id="0582dab5-efb8-4061-94a7-60abdc9867e1",service_version="latest",transport="grpc"} 0