Reference library

Observability & SRE

Structured logging, metrics, tracing, health checks, and SLO-friendly instrumentation.

4 matches

Export Metrics with OTLP Mock in Python

Simulates system metric collection and exports them as an OTLP-like JSON payload using only Python's standard library.

from dataclasses import dataclass, asdict
import json
import random
import time


@dataclass
class Metric:
    name: str
    value: float
    timestamp: int
    unit: str = "1"


def collect_system_metrics() -> list[Metric]:
    """Mock metric collection for OTLP export simulation."""
    now = int(time.time())
    re…

12 0 Open

Observability & SRE medium

How to Create a Mock OpenTelemetry Trace in Python

Create a mock OpenTelemetry trace in memory to test span creation, attributes, and parent-child relationships without exporting to a backend.

opentelemetry tracing testing

Python

from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter


def create_mock_trace():
    tracer_provider = TracerProvider()
    span_exporter =…

13 0 Open

Observability & SRE easy

How to Mock an OTLP HTTP Endpoint in Python

This code implements a lightweight HTTP server that accepts OTLP/HTTP trace exports, stores spans by trace ID, and exposes them via a simple GET endpoint for debugging.

otlp http mock

Python

import json
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
from collections import defaultdict

class TraceHandler(BaseHTTPRequestHandler):
    traces = defaultdict(list)

    def do_POST(self):
        if self.path == "/v1/traces":
            length = int(self.headers.get("Content-Length", 0))
 …

13 0 Open

Observability & SRE easy

Python Observability Data Helper for Beginners

A beginner-friendly Python helper to log events, record metrics, summarize observability data, and export it as JSON.

observability logging metrics

Python

import json
from datetime import datetime
from collections import defaultdict


class ObservabilityDataHelper:
    """Helper for exploring basic observability data patterns."""

    def __init__(self):
        self.events = []
        self.metrics = defaultdict(list)

    def log_event(self, service, level, message):
…

14 0 Open

Browse by section

Each section groups closely related Python snippets.