Reference library

Observability & SRE

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

3 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 easy

How to Generate and Propagate W3C Trace Context Headers in Python

Generate and propagate W3C traceparent and tracestate headers for distributed tracing in Python, with mock service headers.

observability tracing w3c

Python

import uuid


def generate_w3c_traceparent(trace_id=None, parent_id=None, flags="01"):
    if trace_id is None:
        trace_id = uuid.uuid4().hex[:32]
    if parent_id is None:
        parent_id = uuid.uuid4().hex[:16]
    return f"00-{trace_id}-{parent_id}-{flags}"


def create_mock_headers(service_name, trace_id=N…

12 0 Open

Observability & SRE easy

How to Process System Metrics (RSS, CPU) in Python

Simulate and aggregate RSS and CPU system metrics to compute averages and maximums for monitoring dashboards.

metrics rss cpu

Python

import random
import time
from collections import namedtuple

Metric = namedtuple("Metric", ["name", "value", "unit"])


def generate_metrics(num_metrics: int = 5) -> list:
    """Simulate a batch of system metrics."""
    metrics = []
    for i in range(num_metrics):
        rss = random.randint(50, 500)  # MB
      …

12 0 Open

Browse by section

Each section groups closely related Python snippets.