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Observability & SRE

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

3 matches
Observability & SRE easy

How to Flush Metrics on Graceful Shutdown in Python

Register an atexit handler to automatically flush collected metrics when a Python process exits gracefully.

atexit metrics graceful-shutdown
Python
import atexit
import time
import random


class MetricsCollector:
    def __init__(self):
        self._metrics = []
        atexit.register(self.flush)

    def record(self, name, value):
        self._metrics.append((name, value, time.time()))

    def flush(self):
        print(f"Flushing {len(self._metrics)} metri…
14 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

How to Simulate a Queue Depth Gauge in Python

Simulate a queue depth over time using a random enqueue/dequeue process, returning depth values that can be used for monitoring or testing dashboards.

queue simulation monitoring
Python
import collections
import random
import time


def simulate_queue_depth(max_depth=10, steps=20):
    queue = collections.deque()
    depth_history = []

    for _ in range(steps):
        # Randomly enqueue or dequeue
        if random.random() < 0.6 and len(queue) < max_depth:
            queue.append("task")
       …
13 0 Open

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Observability & SRE — Python code examples

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