Research on Site Reliability Optimization Technology Based on Synthetic Monitoring in Cloud Environments

This paper proposes a site reliability optimizationtechnique based on synthetic monitoring. By simulating the userbehavior to build an active monitoring mechanism, combined withanomaly detection, root cause analysis and fault predictionmethods, it realizes real-time mastery of site operation status andfault self-healing. A Kubernetes-based experimental environmentis constructed, and a variety of typical failure scenarios aredesigned for comparative experiments. The results show thatsynthetic monitoring outperforms traditional monitoring in termsof failure detection timeliness, recovery efficiency, and alarmaccuracy. The relevant technical solutions have strong scalabilityand practical value, and provide technical support and theoreticalbasis for improving the business continuity of cloud platform.