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Observability & SRE

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

4 matches

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.

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 medium

How to Build a Python Latency Histogram with Mock Buckets

This code implements a mock latency histogram that records request durations into configurable buckets and outputs counts, total, and average latency.

histogram latency metrics

Python

import time
import random
from collections import Counter


class LatencyHistogram:
    def __init__(self, buckets):
        self.buckets = sorted(buckets)
        self.counts = Counter()
        self.total = 0
        self.sum_latency = 0

    def record(self, latency_ms):
        for i, boundary in enumerate(self.bu…

13 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

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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