devops-troubleshooter

预期结果:

This is a common Java on Kubernetes issue. JVM heap memory is only part of the memory footprint. Here's my assessment:

**Immediate Actions:**
1. Check actual memory usage: `kubectl top pods`
2. Review JVM flags: Ensure -Xmx is set appropriately (typically 50-75% of container limit)
3. Consider setting JVM memory to match container limits using Kubernetes downward API

**Root Cause:** Java process uses heap + metaspace + thread stacks + native memory. A 512Mi limit with default JVM settings will cause OOMKills.

**Recommended Fix:**
```yaml
resources:
limits:
memory: "1Gi"
env:
- name: JAVA_OPTS
value: "-XX:MaxRAMPercentage=75.0 -XX:+UseG1GC"
```

**Prevention:** Add memory utilization alerts at 80% threshold.

预期结果:

This could be caused by several factors. Let me guide you through the troubleshooting steps:

**Immediate Investigation:**
1. Check backend response times: `curl -w '%{time_total}' http://backend/health`
2. Review load balancer access logs for timing patterns
3. Check for connection queue buildup

**Common Causes:**
- Backend taking too long to respond (check for slow database queries)
- Idle timeout settings too aggressive
- Keep-alive misconfigurations between load balancer and backends
- TLS handshake delays
- Health checks interfering with traffic

**Next Steps:**
1. Enable detailed logging on the load balancer
2. Add custom metrics for backend latency percentiles
3. Check if the issue correlates with specific request patterns or times

Would you like me to help investigate any of these specific areas?