Reference library

Observability & SRE

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

8 matches
Observability & SRE easy

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.

dataclasses observability tracing
Python
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 Build a Consumer Lag Gauge in Python

Simulate Kafka consumer lag with a Python class that tracks lag over time and reports health and averages.

consumer-lag kafka monitoring
Python
import time
import random
from collections import deque


class ConsumerLagGauge:
    """Mock consumer lag gauge measuring how far behind a consumer is."""

    def __init__(self, producer_rate=10, consumer_rate=7, initial_lag=0):
        self.producer_rate = producer_rate
        self.consumer_rate = consumer_rate
  …
13 0 Open
Observability & SRE easy

How to Build a Metrics Counter with Increment and Snapshot in Python

A simple dict-backed MetricsCounter class that increments named counters and returns a snapshot of the current values.

metrics counter observability
Python
class MetricsCounter:
    def __init__(self):
        self._metrics = {}

    def increment(self, key, delta=1):
        self._metrics[key] = self._metrics.get(key, 0) + delta

    def snapshot(self):
        return dict(self._metrics)


if __name__ == "__main__":
    counter = MetricsCounter()
    counter.increment("…
13 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 Link Parent and Child Span Elements in Python

This code defines a lightweight mock element class and a function that links child elements to a parent when their ranges are nested within the parent's range.

spans nesting mock
Python
class MockElement:
    def __init__(self, name, start, end, children=None):
        self.name = name
        self.start = start
        self.end = end
        self.children = children or []

    def __repr__(self):
        return f"MockElement({self.name}, {self.start}-{self.end})"


def link_parent_child(parent, chil…
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

How to Redact Secrets from Log Messages in Python

Build a lightweight RedactingFormatter class that replaces sensitive tokens like passwords and API keys with [REDACTED] before log messages are printed.

redaction logging secrets
Python
class RedactingFormatter:
    def __init__(self, secrets):
        self.secrets = secrets

    def redact(self, message):
        for secret in self.secrets:
            message = message.replace(secret, "[REDACTED]")
        return message

    def format(self, record):
        message = record["message"]
        ret…
12 0 Open
Observability & SRE easy

Track Success Rates and Latency in Python: SRE Metrics Helper

A beginner-friendly Python class to record request outcomes and latencies, then report success rate, average latency, and p99.

sre metrics latency
Python
import random
import time
from collections import defaultdict


class MetricsTracker:
    """Simple helper to track success rates and latencies for SRE beginners."""

    def __init__(self):
        self.successes = 0
        self.failures = 0
        self.latencies = []

    def record(self, success, latency_ms):
   …
14 0 Open

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Observability & SRE — Python code examples

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