The API gateway is under siege. Traffic spikes hammer your endpoints. Latency climbs. Requests fail. Your load balancer—meant to be the shield—is now the pain point.
A load balancer is supposed to spread requests across multiple servers, keeping systems fast and reliable. But when it fails, the entire architecture bends under pressure. The pain point in a load balancer can take many forms: slow health checks, uneven routing, stale DNS, single-point bottlenecks, or session persistence that locks users to degraded nodes. Each flaw compounds under real traffic.
The most common failure mode is uneven distribution. One server takes too many requests while others idle. This can come from outdated algorithms, poor integration with service discovery, or ignored response times in routing decisions. Another pain point is visibility. Without real-time metrics, you drift blind, unable to tune resources or detect imbalance until users complain.
Network latency is another choke. A load balancer placed in the wrong region adds milliseconds that pile up fast. TLS termination can be mishandled, adding CPU load where throughput should be king. Lack of failover strategy leaves you exposed when a node dies; the load balancer keeps pointing to a corpse, draining performance and trust.