Prometheus Chaos Edition Online

# Inject 5s latency into 50% of scrape requests for 2 minutes curl -X POST http://localhost:9091/inject/latency \ -d '"duration":"2m","percent":50,"delay":"5s"' If you run Prometheus Operator, pair it with Chaos Mesh (CNCF project) and a NetworkChaos experiment:

What happens when your Prometheus server runs out of memory? What if a metric scrape takes 30 seconds because a target is thrashing? What if your alerting rules become corrupt?

Breaking Monitoring Before It Breaks You: A Hands-On Guide to Prometheus Chaos Edition prometheus chaos edition

In this post, we’ll explore what PCE is, how to deploy it, and why chaos engineering your observability pipeline is the smartest gamble you’ll make this quarter.

# malicious_exporter.py from flask import Flask, Response import random app = Flask() # Inject 5s latency into 50% of scrape

Run this between Prometheus and your real exporters. Watch Prometheus log parse error and target down – then verify your alerts fire correctly.

Create a small proxy that intercepts /metrics endpoints: Breaking Monitoring Before It Breaks You: A Hands-On

We all love Prometheus. It scrapes metrics, fires alerts, and helps us sleep at night. But here’s a painful truth most engineers realize at 3 AM: Your monitoring system can fail, and you won’t know about it until the real outage happens.