Manual tracing example based on opentelemetry with a Spring Boot application
Introduction
The goal is to take advantage of the spring framework and instrument a basic rest application using opentelemetry. Both manual and automatic instrumentation will be covered.
Notes on current branch
This branch uses tracer inject/extract() calls that are meant to be used to propagate context across processes and service boundaries.
Download and install the application
git clone https://github.com/ptabasso2/springopentelemetry.git
Configure the tracer
In the Application class,
Build the application
COMP10619:~ pejman.tabassomi$ ./gradlew build
Test the application with Datadog
1. Start the Datadog Agent
Please provide your API key
COMP10619:~ pejman.tabassomi$ docker run -d --rm -h datadog --name datadog_agent -v /var/run/docker.sock:/var/run/docker.sock:ro -v /proc/:/host/proc/:ro -v /sys/fs/cgroup/:/host/sys/fs/cgroup:ro -p 8126:8126 -p 8125:8125/udp -e DD_API_KEY=xxxxxxxxxxxxxxxxxxxxxxx -e DD_TAGS=env:datadoghq.com -e DD_APM_ENABLED=true -e DD_APM_NON_LOCAL_TRAFFIC=true -e DD_PROCESS_AGENT_ENABLED=true -e DD_LOG_LEVEL=debug gcr.io/datadoghq/agent:7
2. Run the application
COMP10619:~ pejman.tabassomi$ java -jar build/libs/SpringOpenTelemetry-1.0.jar
3. Run the test several times
COMP10619:~ pejman.tabassomi$ curl localhost:8080/Upstream Ok
4. Check the results in the Datadog UI (APM traces)
https://app.datadoghq.com/apm/traces
5. Using the Java agent
Test the application with Jaeger
1. Start the Jaeger backend
COMP10619:~ pejman.tabassomi$ docker run --rm -p 6831:6831/udp -p 6832:6832/udp -p 16686:16686 jaegertracing/all-in-one:1.7 --log-level=debug
2. Run the application
COMP10619:~ pejman.tabassomi$ java -jar build/libs/SpringOpenTelemetry-1.0.jar
3. Check the results in the Jaeger UI (APM traces)
http://localhost:16686