A Django middleware for distributed tracing with Jaeger
Project description
Django Distributed Tracing
A comprehensive Django middleware package for distributed tracing with Jaeger, supporting HTTP requests, Database queries, Redis operations, Celery tasks, and RocketMQ messaging.
I read Jaeger - Distributed Tracing System on github and make it plus.
Features
- HTTP Request Tracing: Automatic tracing of incoming HTTP requests and outgoing HTTP calls
- Database Query Tracing: Track Django ORM queries with performance metrics
- Redis Operation Tracing: Monitor Redis commands and operations
- Celery Task Tracing: Distributed tracing across Celery task queues
- Configurable Components: Enable/disable specific tracing components
- Performance Monitoring: Track slow queries, long-running requests, and bottlenecks
- Error Tracking: Automatic error logging and span tagging
Installation
pip install django-jaeger-middleware-plus
Quick Start
1. Add to Django Settings
# settings.py
INSTALLED_APPS = [
# ... other apps
'jaegertrace',
]
MIDDLEWARE = [
'jaegertrace.middleware.TraceMiddleware',
# ... other middleware
]
# Required: Service name for tracing
TRACING_SERVICE_NAME = "my-django-service"
Configuration Reference
Tracer Configuration
TRACER_CONFIG = {
"sampler": {
"type": "const", # const, probabilistic, rate_limiting
"param": 1, # Sample rate (0.0 to 1.0)
},
"local_agent": {
"reporting_host": "localhost",
"reporting_port": 6831,
},
"trace_id_header": "trace-id",
"baggage_header_prefix": "jaeger-",
"logging": True,
}
Component Configuration
# settings.py
TRACING_CONFIG = {
"http_requests": {
"ignore_urls": ["/health", "/metrics", "/favicon.ico"], # URLs to skip
"max_tag_value_length": 1024, # Max length for tag values, default 1024
},
"database": {
"enabled": True,
"ignore_sqls": ["SHOW TABLES", "DESCRIBE"], # SQL commands to skip, default ["SHOW TABLES", "DESCRIBE"]
"max_query_length": 1000, # Truncate long queries, default 1000
},
"redis": {
"enabled": True,
"ignore_commands": ["PING", "INFO"], # Redis commands to skip
"max_command_length": 500, # Truncate long commands, default 500
},
"celery": {
"enabled": True,
"ignore_tasks": [], # Celery tasks to skip
}
}
Usage
1. Using the Traced HTTP Client
from jaegertrace.httpclient import HttpClient
# Create a traced HTTP client
client = HttpClient()
# Make requests - automatically traced
response = client.get("/users/123")
response = client.post("/users", json={"name": "John"})
Production Considerations
Sampling
In production, consider using probabilistic sampling to reduce overhead:
TRACER_CONFIG = {
"sampler": {
"type": "probabilistic",
"param": 0.1, # Sample 10% of traces
}
}
Performance Impact
- Database query tracing adds minimal overhead (~1-2ms per query)
- HTTP request tracing adds ~5-10ms per request
- Redis tracing adds ~1ms per operation
- Consider disabling SQL logging in production
Resource Usage
- Each span consumes ~1KB of memory
- Jaeger agent buffers traces locally before sending
- Monitor memory usage with high-throughput applications
Troubleshooting
Common Issues
-
Traces not appearing in Jaeger
- Check Jaeger agent connectivity
- Verify sampling configuration
- Check service name configuration
-
High memory usage
- Reduce sampling rate
- Disable detailed logging (SQL, message bodies)
- Check for span leaks (unfinished spans)
-
Performance degradation
- Tune slow query thresholds
- Disable non-essential component tracing
- Use asynchronous reporting
Debug Mode
Enable debug logging to troubleshoot issues:
# settings.py
LOGGING = {
'loggers': {
'django_tracing': {
'handlers': ['console'],
'level': 'DEBUG',
'propagate': False,
},
},
}
License
This project is licensed under the MIT License - see the LICENSE file for details.
Contact
Email me with any questions: zhaishuaishuai001@gmail.com.
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