⬡ ScalingCore interactive
Load Balancing
Spread traffic across servers, no single hotspot.
load_balancer
round-robin
clients
LB
Requests spread across the pool — no single server becomes a hotspot.
How it works
A load balancer sits in front of a server pool and distributes incoming requests so no one machine is overwhelmed. Strategies range from round-robin to least-connections to weighted routing, with health checks that pull dead nodes out of rotation.
Mental models
- Round-robin, least-connections, IP-hash, and weighted are the staples.
- Health checks + automatic failover keep traffic off dead servers.
- L4 balances on IP/port (fast, just forwards packets); L7 reads HTTP paths, headers, and cookies to route smarter.
- SSL termination at the LB means backend servers skip the expensive decrypt/encrypt work.
- Horizontal scaling only works if servers are stateless — sessions belong in a shared store, not local memory.
Common pitfalls
- The load balancer itself is a new single point of failure — pair it with a standby in active-passive or active-active mode.
- Sticky sessions reintroduce state into a 'stateless' fleet; prefer a centralized session store (Redis, DB) instead.
- An underprovisioned or misconfigured LB becomes the bottleneck it was meant to prevent.
Reach for it when
- Horizontal scaling
- Zero-downtime deploys
- Geographic routing