The difference between reactive and proactive monitoring comes down to tracking the right network performance metrics. Important metrics that consistently predict issues before they impact users include:
- Round-trip time variations: Subtle increases in RTT often precede more serious network congestion. Set baseline thresholds for different times of day and get alerted when patterns deviate
- Buffer utilization patterns: Most admins ignore this until it's too late. Monitoring buffer usage across key network devices reveals impending bottlenecks before they trigger packet loss
- Error rates on interfaces: Even small increases in CRC errors or interface discards can signal hardware issues days before actual failures occur
- TCP retransmission rates: This metric reveals application performance issues that users might experience from data transmission rates before they report them
- Network traffic symmetry: Unusual asymmetric traffic patterns often indicate security issues or misconfigured applications
Reference: Stop Reactive Network Troubleshooting: Monitor These 5 Metrics to Prevent Downtime
Cloud environments introduce unique challenges for network performance monitoring. Some standard metrics like latency and packet loss remain important, but you'll also want to focus on metrics specific to your cloud connectivity. For hybrid environments, these are good metrics:
- Inter-region latency: Especially important for globally distributed applications
- Connection establishment time: Often overlooked but crucial for microservice architectures
- Throughput consistency: More important than raw bandwidth in many cloud scenarios
- DNS resolution time: Can be a hidden bottleneck in cloud environments


