Microservices patterns
Service boundaries, discovery, inter-service calls, and decomposition patterns.
Distributed tracing with contextvars in Python
Propagate trace and span IDs across function calls using contextvars to mock distributed tracing in a single process.
import contextvars
import uuid
import time
_trace_context = contextvars.ContextVar("trace_context", default=None)
class TraceContext:
def __init__(self, trace_id, parent_span_id):
self.trace_id = trace_id
self.parent_span_id = parent_span_id
self.span_id = uuid.uuid4().hex[:16]
s…How to Check an External Gateway vs Use an Internal Mock in Python
This code checks whether an external network gateway is reachable using ping, then falls back to a deterministic internal mock for testing environments.
import subprocess
import sys
def check_external_gateway():
"""True if we can reach an external network target."""
try:
subprocess.run(
["ping", "-c", "1", "-W", "2", "8.8.8.8"],
capture_output=True,
timeout=3,
check=True,
)
return True
…How to Deduplicate Events in Python with SHA256 Hashing
Build an event deduplicator that identifies duplicate inbox messages using SHA256 hashes and tracks duplicate counts per event type.
```python
import hashlib
import json
from collections import defaultdict
class EventDeduplicator:
def __init__(self):
self.seen_hashes = set()
self.duplicate_counts = defaultdict(int)
def process_event(self, event):
event_key = f"{event['event_id']}:{event['timestamp']}"
even…Idempotent Consumer Event Processing in Python
Track processed event IDs to skip duplicates and count event types for a reliable, idempotent consumer.
import json
from collections import defaultdict
class EventProcessor:
def __init__(self):
self.processed_ids = set()
self.counts = defaultdict(int)
def process_event(self, event):
event_id = event["id"]
if event_id in self.processed_ids:
return {"status": "skipped"…Browse by section
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Microservices patterns — Python code examples
What you will find here
This page collects microservices patterns snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.
Samples vs tutorials and challenges
Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.