How do you implement container health checks and monitoring in cloud-native environments?

Container health checks ensure service availability by periodically probing application status (such as HTTP requests or command execution); monitoring continuously collects performance metrics (such as CPU and memory). In cloud-native environments, both are crucial for achieving automatic recovery, service elasticity, and high availability, especially suitable for microservice architectures and continuous delivery scenarios.

Health checks include livenessProbe and readinessProbe. The former restarts the container in case of failure, while the latter controls traffic admission. Monitoring systems (such as Prometheus) achieve full-stack observability through metrics, logs, and distributed tracing. Kubernetes natively supports probe configuration, and combining with alerting tools (such as Alertmanager) can quickly locate problems, improving system resilience and operational efficiency.

Implementation steps: 1. Define Pod's livenessProbe (such as HTTP GET check) and readinessProbe (such as TCP port探测) in Kubernetes; 2. Deploy monitoring stack (such as Prometheus+Grafana for metric collection); 3. Set up alert rules and log aggregation (such as ELK or cloud services). The business value lies in reducing downtime by more than 50%, supporting automatic scaling and cost optimization.