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.
apiVersion: chaos-mesh.org/v1alpha1 kind: NetworkChaos metadata: name: prometheus-slow-scrape spec: action: delay mode: all selector: pods: prometheus-ns: - prometheus-server-0 delay: latency: "3s" correlation: "100" jitter: "1s" duration: "5m" Apply with kubectl apply -f chaos.yaml . Prometheus will now see all outbound scrape requests delayed. One of the most insidious PCE experiments is injecting malformed OpenMetrics data. prometheus chaos edition
The result? A telemetry system that survives real network partitions, overloaded exporters, and misconfigured rules. And a team that actually knows how to debug their monitoring stack under pressure. In this post, we’ll explore what PCE is,
Run this between Prometheus and your real exporters. Watch Prometheus log parse error and target down – then verify your alerts fire correctly. One of the most insidious PCE experiments is
Before we dive into code, let’s address the obvious question: Why would I voluntarily break my monitoring?