AWS Network Load
Balancer Monitoring
Target Health, Flow Counts, TCP Resets & Throughput
BigBell AWS NLB monitoring tracks healthy and unhealthy targets, active and new flows, processed bytes, and TCP resets across every Network Load Balancer — and alerts your team the instant targets fail health checks or connection errors begin to climb.
What is AWS NLB Monitoring?
AWS Network Load Balancer monitoring is the real-time tracking of Layer 4 load balancer health — healthy and unhealthy targets, active and new flows, processed bytes, and TCP resets — so you catch failing targets and connection problems before they take down the services behind the balancer.
Why NLB monitoring matters
A Network Load Balancer operates at Layer 4, routing raw TCP and UDP traffic to your targets with extreme throughput and low latency. Because it sits directly in front of critical services, a target group quietly dropping below its healthy count, or a rising rate of TCP resets, can degrade or sever connections long before anyone notices in the application logs.
BigBell pulls NLB metrics from CloudWatch at configurable intervals and evaluates target health, flow counts, throughput, and reset rates against your thresholds. The moment a target fails its health check or resets spike, your team is notified with the balancer name, target group, region, and the breached metric.
- ✓Tracks healthy vs unhealthy targets per target group
- ✓Monitors active flows, new flows, and processed bytes
- ✓Watches TCP target and client reset rates
- ✓Alerts on cross-zone and per-AZ target imbalance
How BigBell NLB monitoring works
Complete AWS NLB Monitoring in One Platform
Target Health Tracking
Monitor healthy and unhealthy host counts for every target group in real time. Know the instant a target fails its health check and falls out of rotation.
Flow Count Monitoring
Track active flow count and new flows per second. Spot traffic surges, connection storms, and sudden drops that signal an upstream or client-side problem.
Throughput & Processed Bytes
Watch processed bytes through the balancer to understand real traffic volume, plan capacity, and detect anomalies in inbound and outbound data flow.
TCP Reset Monitoring
Track TCP resets generated by targets and clients. A rising target reset rate is an early sign that backends are refusing or dropping connections under stress.
Per-AZ & Cross-Zone Visibility
See target health and traffic distribution across Availability Zones. Catch zone imbalance and cross-zone routing issues that uneven aggregate metrics would hide.
Historical Trends
Visualize target health, flows, and throughput over hours, days, and weeks. Correlate incidents with deploys and traffic patterns for faster root-cause analysis.
NLB Problems BigBell Catches Before Users Notice
Unhealthy Targets
When targets fail health checks and drop out of rotation, remaining hosts absorb the load and may cascade. BigBell alerts the moment the unhealthy count rises above your threshold.
All Targets Down
If every target in a group goes unhealthy, the service behind the balancer is effectively offline. BigBell detects zero healthy hosts within one cycle and pages your team immediately.
Rising TCP Resets
A climbing TCP target reset rate signals backends refusing or dropping connections under pressure. BigBell surfaces the trend before it becomes widespread connection failures.
Availability Zone Imbalance
When one AZ loses healthy targets, traffic concentrates unevenly and latency rises in that zone. BigBell's per-AZ visibility catches imbalance that aggregate counts conceal.
AWS NLB Monitoring — FAQ
Stop Flying Blind on AWS NLB
Get target health, flow count, throughput, and TCP reset visibility across every Network Load Balancer in your account in under five minutes — agentless, with a read-only IAM role.