Tracing

Apollo

To enable Apollo tracing you can use the ApolloTracingExtension provided:

from strawberry.extensions.tracing import ApolloTracingExtension
schema = strawberry.Schema(query=Query, extensions=[ApolloTracingExtension])

Note that if you're not running under ASGI you'd need to use the sync version of ApolloTracingExtension:

from strawberry.extensions.tracing import ApolloTracingExtensionSync
schema = strawberry.Schema(query=Query, extensions=[ApolloTracingExtensionSync])

Datadog

In addition to Apollo Tracing we also support tracing with Datadog. using the DatadogTracingExtension.

from strawberry.extensions.tracing import DatadogTracingExtension
schema = strawberry.Schema(query=Query, extensions=[DatadogTracingExtension])

Note that if you're not running under ASGI you'd need to use the sync version of DatadogTracingExtension:

from strawberry.extensions.tracing import DatadogTracingExtensionSync
schema = strawberry.Schema(query=Query, extensions=[DatadogTracingExtensionSync])

Open Telemetry

In addition to Datadog and Apollo Tracing we also support opentelemetry, using the OpenTelemetryExtension.

You also need to install the extras for opentelemetry by doing:

pip install 'strawberry-graphql[opentelemetry]'
from strawberry.extensions.tracing import OpenTelemetryExtension
schema = strawberry.Schema(query=Query, extensions=[OpenTelemetryExtension])

Note that if you're not running under ASGI you'd need to use the sync version of OpenTelemetryExtension:

from strawberry.extensions.tracing import OpenTelemetryExtensionSync
schema = strawberry.Schema(query=Query, extensions=[OpenTelemetryExtensionSync])

Example Elasticsearch, Kibana, APM, Collector docker-compose to track django and strawberry tracing metrics

This will spin up:

  • an elastic search instance to keep your data
  • kibana to visualize data
  • the elastic APM Server for processing incoming traces
  • a collector binding to transform the opentelemetry data (more exactly the Opentelementry Line Protocol OTLP) to something AMP can read (our APM agent)

For more details see the elasticsearch docs

version: "3"
services:
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.16.2
container_name: elasticsearch
restart: always
ulimits:
memlock:
soft: -1
hard: -1
environment:
- discovery.type=single-node
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms1024m -Xmx1024m"
- ELASTIC_PASSWORD=changeme
- xpack.security.enabled=true
volumes:
- elasticsearch-data:/usr/share/elasticsearch/data
healthcheck:
interval: 10s
retries: 12
test: curl -s http://localhost:9200/_cluster/health | grep -vq
'"status":"red"'
kibana:
image: docker.elastic.co/kibana/kibana:7.16.2
container_name: kibana
environment:
ELASTICSEARCH_URL: "http://elasticsearch:9200"
ELASTICSEARCH_HOSTS: '["http://elasticsearch:9200"]'
ELASTICSEARCH_USERNAME: elastic
ELASTICSEARCH_PASSWORD: changeme
restart: always
depends_on:
elasticsearch:
condition: service_healthy
ports:
- 127.0.0.1:5601:5601
apm-server:
image: docker.elastic.co/apm/apm-server:7.16.2
container_name: apm-server
user: apm-server
restart: always
command:
[
"--strict.perms=false",
"-e",
"-E",
"apm-server.host=0.0.0.0:8200",
"-E",
"apm-server.kibana.enabled=true",
"-E",
"apm-server.kibana.host=kibana:5601",
"-E",
"apm-server.kibana.username=elastic",
"-E",
"apm-server.kibana.password=changeme",
"-E",
"output.elasticsearch.hosts=['elasticsearch:9200']",
"-E",
"output.elasticsearch.enabled=true",
"-E",
"output.elasticsearch.username=elastic",
"-E",
"output.elasticsearch.password=changeme",
]
depends_on:
elasticsearch:
condition: service_healthy
cap_add: ["CHOWN", "DAC_OVERRIDE", "SETGID", "SETUID"]
cap_drop: ["ALL"]
healthcheck:
interval: 10s
retries: 12
test:
curl --write-out 'HTTP %{http_code}' --fail --silent --output /dev/null
http://localhost:8200/
otel-collector:
image: otel/opentelemetry-collector:0.41.0
container_name: otel-collector
restart: always
command: "--config=/etc/otel-collector-config.yaml"
volumes:
- ./otel-collector-config.yaml:/etc/otel-collector-config.yaml:ro
depends_on:
apm-server:
condition: service_healthy
ports:
- 127.0.0.1:4317:4317
volumes:
elasticsearch-data:
external: true

In the same directory add a otel-collector-config.yaml:

receivers:
otlp:
protocols:
grpc:
processors:
memory_limiter:
check_interval: 1s
limit_mib: 2000
batch:
exporters:
logging:
loglevel: warn
otlp/elastic:
endpoint: "apm-server:8200"
tls:
insecure: true
service:
pipelines:
traces:
receivers: [otlp]
exporters: [logging, otlp/elastic]
processors: [batch]
metrics:
receivers: [otlp]
exporters: [logging, otlp/elastic]
processors: [batch]

Spin this docker-compose up with (this will take a while, give it a minute):

docker-compose up --force-recreate --build

Example Django Integration

Requirements:

pip install opentelemetry-api
pip install opentelemetry-sdk
pip install opentelemetry-exporter-otlp

in the manage.py

from opentelemetry import trace
from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
from opentelemetry.instrumentation.django import DjangoInstrumentor
from opentelemetry.sdk.resources import Resource
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
resource = Resource(attributes={"service.name": "yourservicename"})
trace.set_tracer_provider(TracerProvider(resource=resource))
tracer = trace.get_tracer(__name__)
otlp_exporter = OTLPSpanExporter(endpoint="http://localhost:4317", insecure=True)
span_processor = BatchSpanProcessor(otlp_exporter)
trace.get_tracer_provider().add_span_processor(span_processor)
...
def main():
DjangoInstrumentor().instrument()
...

Was this helpful? What can we improve?

Edit on Github

Newsletter 💌

Do you want to receive the latest updates on Strawberry? Subscribe to our newsletter!