Reference library

Observability & SRE

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

4 matches

How to Add Metadata Attributes to a Span in Python

Create a lightweight dataclass-based Span mock that stores key-value metadata attributes for tracing or event logging.

from dataclasses import dataclass, field
from typing import Dict, Any

@dataclass
class Span:
    name: str
    attributes: Dict[str, Any] = field(default_factory=dict)
    
    def set_attribute(self, key: str, value: Any) -> None:
        self.attributes[key] = value
    
    def get_attribute(self, key: str) -> Any…

14 0 Open

Observability & SRE easy

How to Compute SRE Metrics Like Error Rate and Availability in Python

Tracks log events in a sliding time window and calculates error rate per second and availability percentage using an easy-to-follow class.

observability sre metrics

Python

from collections import deque
from datetime import datetime, timedelta
from typing import Dict, Deque


class LogMetrics:
    """Simple observability helper to track log events and calculate SRE metrics."""

    def __init__(self, window_seconds: int = 60):
        self.window_seconds = window_seconds
        self.eve…

14 0 Open

Observability & SRE easy

How to Model Span Events in Python

Define a Span class with timestamped milestone events and a completion marker to track operation lifecycle.

observability dataclasses tracing

Python

import time
from dataclasses import dataclass, field
from enum import Enum
from typing import List


class SpanStatus(Enum):
    STARTED = "started"
    COMPLETED = "completed"


@dataclass
class SpanEvent:
    name: str
    timestamp: float = field(default_factory=time.time)
    attributes: dict = field(default_facto…

14 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

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