Cloud-Native Chaos Engineering Practice Guide
· Updated 2026-07-26
⏱️ Reading time 1 min (109 words)
SRE
混沌工程
Kubernetes
Use Chaos Mesh to simulate network latency, node failures, and Pod anomalies to continuously verify system resilience and automated self-healing mechanisms.
1. Introduction to Chaos Engineering
Chaos engineering is an experimental methodology for distributed systems that aims to build confidence in a system’s ability to withstand unpredictable production conditions.
2. Chaos Mesh Practice
We built a complete chaos engineering platform based on Chaos Mesh, covering fault injection across network, Pod, and node dimensions.
Core Example: Network Delay Fault Injection
apiVersion: chaos-mesh.org/v1alpha1
kind: NetworkChaos
metadata:
name: network-delay
spec:
action: delay
mode: one
selector:
namespaces: ["production"]
labelSelectors:
app: payment-service
delay:
latency: "500ms"
jitter: "100ms"
duration: "5m"
yaml
apiVersion: chaos-mesh.org/v1alpha1
kind: NetworkChaos
metadata:
name: network-delay
spec:
action: delay
mode: one
selector:
namespaces: ["production"]
labelSelectors:
app: payment-service
delay:
latency: "500ms"
jitter: "100ms"
duration: "5m"Author：技术领航员 | License：CC BY-NC-SA 4.0
Article Link：https://sre-ai-blog.pages.dev/en/posts/chaos-engineering/（Please credit the source when reposting）