An OpenTelemetry backend in a Docker image.
The grafana/otel-lgtm
Docker image is an open source backend for OpenTelemetry that’s intended for development, demo, and testing environments. If you are looking for a production-ready, out-of-the box solution to monitor applications and minimize MTTR (mean time to resolution) with OpenTelemetry and Prometheus, you should try Grafana Cloud Application Observability.
The Docker image is available on Docker hub: https://hub.docker.com/r/grafana/otel-lgtm
# Unix/Linux
./run-lgtm.sh
# Windows (PowerShell)
./run-lgtm
You can enable logging for troubleshooting:
Environment Variable | Enable Logging in |
---|---|
ENABLE_LOGS_GRAFANA | Grafana |
ENABLE_LOGS_LOKI | Loki |
ENABLE_LOGS_PROMETHEUS | Prometheus |
ENABLE_LOGS_TEMPO | Tempo |
ENABLE_LOGS_OTELCOL | OpenTelemetry Collector |
ENABLE_LOGS_ALL | all of the above |
This has nothing to do with the application logs, which are collected by OpenTelemetry.
# create k8s resources
kubectl apply -f k8s/lgtm.yaml
# port forwarding
kubectl port-forward service/lgtm 3000:3000 4317:4317 4318:4318
There's no need to configure anything: The Docker image works with OpenTelemetry's defaults.
# Not needed as these are the defaults in OpenTelemetry:
export OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf
export OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318
Log in to http://localhost:3000 with user admin and password admin.
cd docker/
docker build . -t grafana/otel-lgtm
Run the example REST service:
# Unix/Linux
./run-example.sh
# Windows (PowerShell)
./run-example
Generate traffic:
# Unix/Linux
./generate-traffic.sh
# Windows (PowerShell)
./generate-traffic
The example apps are in the examples/
directory.
Each example has a run.sh
or run.cmd
script to start the app.
Every example implements a rolldice service, which returns a random number between 1 and 6.
Each example uses a different application port (to be able to run all applications at the same time).
Example | Service URL |
---|---|
Java | curl http://localhost:8080/rolldice |
Go | curl http://localhost:8081/rolldice |
Python | curl http://localhost:8082/rolldice |
dotnet | curl http://localhost:8083/rolldice |
- Metrics, Logs, Traces and Profiles in Grafana: https://github.com/grafana/intro-to-mltp