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Observability & SRE

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

4 matches

How to Build a Burn Rate Alert with Multiple Time Windows in Python

Track token consumption and trigger alerts when the burn rate exceeds a threshold across multiple time windows using deque and time-based sliding windows.

burn-rate alerts time-windows

Python

import time
from collections import deque

class BurnRateAlert:
    def __init__(self, windows_seconds=(60, 300, 900), threshold_rate=0.8):
        self.windows = {w: deque() for w in windows_seconds}
        self.threshold_rate = threshold_rate
        self.previous_tokens = None

    def record_sample(self, current_…

16 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 medium

How to Build an HTTP Server Request Duration Histogram in Python

Create a small HTTP server that times each GET request, buckets the duration, and prints a histogram on shutdown.

http.server histogram performance

Python

import time
import random
from collections import Counter
from http.server import HTTPServer, BaseHTTPRequestHandler


class HistogramHandler(BaseHTTPRequestHandler):
    response_times = Counter()

    def do_GET(self):
        start = time.perf_counter()
        time.sleep(random.uniform(0.001, 0.1))
        duratio…

13 0 Open

Observability & SRE medium

Summary Quantile Mock Sketch in Python

Build a memory-efficient sketch that stores sorted bins of data points to answer approximate quantile queries like median without keeping all values in memory.

quantile sketch statistics

Python

import random
import statistics
from collections import Counter

class SummaryQuantileSketch:
    """
    A simple sketch that stores a fixed-size summary of data (min, max, deciles)
    using sorted bins, then answers approximate quantile queries.
    """
    def __init__(self, bins=10):
        self.bins = bins
    …

13 0 Open

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