Strategies and methods for troubleshooting and debugging issues in the OpenTelemetry Demo
This documentation page covers various strategies and methods for troubleshooting and debugging issues in the OpenTelemetry Demo project (https://github.com/open-telemetry/opentelemetry-demo).
What is Troubleshooting and Debugging?
Troubleshooting and debugging are essential practices for identifying and resolving issues in software applications. In the context of the OpenTelemetry Demo, these practices help developers understand and address any problems that arise during the execution of the project.
Why is Troubleshooting and Debugging important?
Effective troubleshooting and debugging are crucial for maintaining the health and performance of software applications. They help developers:
- Identify and isolate the root cause of issues.
- Understand the behavior of the application under various conditions.
- Improve the application’s reliability and stability.
- Enhance the user experience by addressing reported issues.
Strategies and Tools for Troubleshooting and Debugging in OpenTelemetry Demo
Logging
Logging is an essential diagnostic tool for understanding the behavior of software applications. In the OpenTelemetry Demo, logging is implemented using the opentelemetry-sdk
library.
Enabling Logging
To enable logging, set the OTEL_LOG
environment variable to the desired logging level. For example, to set the logging level to DEBUG
, use:
export OTEL_LOG=debug
Logging Examples
The following example demonstrates how to log messages using the OpenTelemetry SDK:
import { getTracer } from '@opentelemetry/api';
import { SemanticConstraints } from '@opentelemetry/semantic-constraints';
const tracer = getTracer('example');
tracer.startSpan('exampleSpan', {
attributes: {
[SemanticConstraints.NETWORK_OUTGOING_PEER]: 'example.com',
},
});
tracer.log({ message: 'This is a log message' });
tracer.end();
Tracing
Tracing is a method for observing and understanding the flow of requests and data through a distributed system. In the OpenTelemetry Demo, tracing is implemented using the opentelemetry-sdk
library.
Enabling Tracing
To enable tracing, set the OTEL_EXPORTER_OTLP_ENDPOINT
environment variable to the endpoint of your tracing exporter. For example, to use the Jaeger exporter at http://localhost:14268
, use:
export OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:14268
Tracing Examples
The following example demonstrates how to create and propagate a trace using the OpenTelemetry SDK:
import { getTracer } from '@opentelemetry/api';
import { SemanticConstraints } from '@opentelemetry/semantic-constraints';
const tracer = getTracer('example');
const parentSpan = tracer.startSpan('parentSpan', {
attributes: {
[SemanticConstraints.NETWORK_OUTGOING_PEER]: 'example.com',
},
});
const childSpan = tracer.startSpan('childSpan', {
parent: parentSpan,
});
childSpan.log({ message: 'This is a log message' });
tracer.end();
tracer.end();
Profiling
Profiling is a method for measuring the performance of software applications. In the OpenTelemetry Demo, profiling is not directly supported, but you can use external profiling tools like pprof
or perf
to analyze the performance of individual components.
Testing
Testing is an essential practice for ensuring the reliability and stability of software applications. The OpenTelemetry Demo includes a comprehensive test suite that covers various aspects of the project. To run the tests, use the following command:
npm test
Additional Resources
For more information on troubleshooting and debugging in the OpenTelemetry Demo, refer to the following resources:
- OpenTelemetry Documentation
- OpenTelemetry SDK for Node.js
- OpenTelemetry Tracing
- OpenTelemetry Logging
Sources:
- <https://opentelemetry.io/docs/concepts/tracing/>
- <https://opentelemetry.io/docs/concepts/logs/>
- <https://opentelemetry.io/docs/guides/instrumentation/nodejs/>
- <https://opentelemetry.io/docs/guides/instrumentation/nodejs/getting-started/>
- <https://opentelemetry.io/docs/guides/instrumentation/nodejs/api-v1-sdk/>
- <https://opentelemetry.io/docs/concepts/logs/>
- <https://opentelemetry.io/docs/concepts/logs/log-structured-data/>
- <https://opentelemetry.io/docs/concepts/logs/log-record-format/>
- <https://opentelemetry.io/docs/concepts/logs/log-systems/>
- <https://opentelemetry.io/docs/concepts/logs/log-exporters/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/json/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/protobuf/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/logspout/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/fluentd/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/file/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/gcp-logging/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/aws-logs/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/azure-monitor/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/elasticsearch/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/kafka/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/kinesis/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/prometheus/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/influxdb/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/grafana/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/jaeger/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/zipkin/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/otlp/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/otlp-http/>
- <https://opentelemetry.io/docs/concepts/logs/log-ingestion-formats/otlp-grpc/>
- <https://opentelemetry.io/docs/concepts/logs/log