No. More callers can increase pressure on the same bottleneck.

A stateless application worker keeps no exclusive durable session state needed for future requests. A load balancer can then route to interchangeable healthy workers. L4 and L7 balancing see different protocol information; choose based on routing requirements, not labels alone. Health checks should reflect readiness without causing unnecessary cascading removal. Drain in-flight work during deployment and plan behavior when capacity drops. Autoscaling needs measured signals and startup time; it is not instantaneous spare capacity.

What the function promises: RoundRobin selects from an explicit current healthy-worker list. It is a routing model only and performs no network calls or health probes.

class RoundRobin:
    def __init__(self):
        self.next_index = 0
    def choose(self, healthy):
        if not healthy:
            raise RuntimeError("No healthy workers")
        chosen = healthy[self.next_index % len(healthy)]
        self.next_index += 1
        return chosen

router = RoundRobin()
assert [router.choose(["A", "B"]) for _ in range(4)] == ["A","B","A","B"]
assert router.choose(["B"]) == "B"

Work and storage: O(1) selection given a prepared healthy list. Real balancing includes connection and health-state management.

When to recognize it: Round-robin is simple, but readiness checks, connection draining, slow workers, and uneven request costs affect real routing.

Check before applying it: A load balancer spreads traffic; it does not remove shared-state or downstream bottlenecks.

No. Consider active work, queueing, or resource-aware routing and separate workloads when necessary. Measure the resource that is actually constrained.