Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.
Scanned 2/10/2026
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---
name: python-observability-patterns
description: "Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id."
compatibility: "Python 3.10+. Requires structlog, opentelemetry-api, prometheus-client."
allowed-tools: "Read Write"
depends-on: [python-async-patterns]
related-skills: [python-fastapi-patterns, python-cli-patterns]
---
# Python Observability Patterns
Logging, metrics, and tracing for production applications.
## Structured Logging with structlog
```python
import structlog
# Configure structlog
structlog.configure(
processors=[
structlog.contextvars.merge_contextvars,
structlog.processors.add_log_level,
structlog.processors.TimeStamper(fmt="iso"),
structlog.processors.JSONRenderer(),
],
wrapper_class=structlog.make_filtering_bound_logger(logging.INFO),
context_class=dict,
logger_factory=structlog.PrintLoggerFactory(),
)
logger = structlog.get_logger()
# Usage
logger.info("user_created", user_id=123, email="test@example.com")
# Output: {"event": "user_created", "user_id": 123, "email": "test@example.com", "level": "info", "timestamp": "2024-01-15T10:00:00Z"}
```
## Request Context Propagation
```python
import structlog
from contextvars import ContextVar
from uuid import uuid4
request_id_var: ContextVar[str] = ContextVar("request_id", default="")
def bind_request_context(request_id: str | None = None):
"""Bind request ID to logging context."""
rid = request_id or str(uuid4())
request_id_var.set(rid)
structlog.contextvars.bind_contextvars(request_id=rid)
return rid
# FastAPI middleware
@app.middleware("http")
async def request_context_middleware(request, call_next):
request_id = request.headers.get("X-Request-ID") or str(uuid4())
bind_request_context(request_id)
response = await call_next(request)
response.headers["X-Request-ID"] = request_id
structlog.contextvars.clear_contextvars()
return response
```
## Prometheus Metrics
```python
from prometheus_client import Counter, Histogram, Gauge, generate_latest
from fastapi import FastAPI, Response
# Define metrics
REQUEST_COUNT = Counter(
"http_requests_total",
"Total HTTP requests",
["method", "endpoint", "status"]
)
REQUEST_LATENCY = Histogram(
"http_request_duration_seconds",
"HTTP request latency",
["method", "endpoint"],
buckets=[0.01, 0.05, 0.1, 0.5, 1.0, 5.0]
)
ACTIVE_CONNECTIONS = Gauge(
"active_connections",
"Number of active connections"
)
# Middleware to record metrics
@app.middleware("http")
async def metrics_middleware(request, call_next):
ACTIVE_CONNECTIONS.inc()
start = time.perf_counter()
response = await call_next(request)
duration = time.perf_counter() - start
REQUEST_COUNT.labels(
method=request.method,
endpoint=request.url.path,
status=response.status_code
).inc()
REQUEST_LATENCY.labels(
method=request.method,
endpoint=request.url.path
).observe(duration)
ACTIVE_CONNECTIONS.dec()
return response
# Metrics endpoint
@app.get("/metrics")
async def metrics():
return Response(
content=generate_latest(),
media_type="text/plain"
)
```
## OpenTelemetry Tracing
```python
from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
# Setup
provider = TracerProvider()
processor = BatchSpanProcessor(OTLPSpanExporter(endpoint="localhost:4317"))
provider.add_span_processor(processor)
trace.set_tracer_provider(provider)
tracer = trace.get_tracer(__name__)
# Manual instrumentation
async def process_order(order_id: int):
with tracer.start_as_current_span("process_order") as span:
span.set_attribute("order_id", order_id)
with tracer.start_as_current_span("validate_order"):
await validate(order_id)
with tracer.start_as_current_span("charge_payment"):
await charge(order_id)
```
## Quick Reference
| Library | Purpose |
|---------|---------|
| structlog | Structured logging |
| prometheus-client | Metrics collection |
| opentelemetry | Distributed tracing |
| Metric Type | Use Case |
|-------------|----------|
| Counter | Total requests, errors |
| Histogram | Latencies, sizes |
| Gauge | Current connections, queue size |
## Additional Resources
- `./references/structured-logging.md` - structlog configuration, formatters
- `./references/metrics.md` - Prometheus patterns, custom metrics
- `./references/tracing.md` - OpenTelemetry, distributed tracing
## Assets
- `./assets/logging-config.py` - Production logging configuration
---
## See Also
**Prerequisites:**
- `python-async-patterns` - Async context propagation
**Related Skills:**
- `python-fastapi-patterns` - API middleware for metrics/tracing
- `python-cli-patterns` - CLI logging patterns
**Integration Skills:**
- `python-database-patterns` - Database query tracing
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