In this lesson, you will learn how to configure GameplayCue replication settings to maintain visual fidelity for remote players while drastically reducing the bandwidth consumed by your server.
The Replication Challenge
When you trigger a GameplayCue (GC) via a GameplayEffect, the server is responsible for informing all relevant clients. By default, firing dozens of cues—like hit impacts or footstep dust—can overwhelm the replication buffer, causing "jittery" visuals or latency-induced lag. To optimize this, we must shift away from "Reliable" overhead and favor "Fire and Forget" strategies where appropriate.
Choosing the Right Replication Strategy
The GameplayCueNotify classes offer different ways to handle this. For high-frequency, non-critical feedback (like bullet tracers or minor environmental impacts), you should avoid forcing the server to track every individual event state.
Instead, leverage the GameplayCue execution logic to rely on Predicted Replication. When an ability triggers a cue locally, the client can simulate the effect immediately. The server then only replicates the "event" to late-joining players or those who were not present for the initial broadcast.
Implementation Optimization
Configure your GameplayCueNotify by adjusting the ReplicationPolicy. For most visual-only cues, set your GameplayCueNotify_Static to handle execution locally on the client whenever possible. You can fine-tune this by checking the NetMode inside your execution logic:
void UMyGameplayCueNotify_Static::OnExecute_Implementation(AActor* MyTarget, const FGameplayCueParameters& Parameters) const
{
// Avoid redundant server-side logic for purely visual cues
if (MyTarget->GetNetMode() == NM_DedicatedServer)
{
return;
}
// Spawn high-fidelity particles only on the client
SpawnVisualEffects(MyTarget, Parameters);
}
By ensuring the server acts only as the "trigger authority" rather than the "state manager" for these cues, you prevent the networking thread from stalling. Use Gameplay Cue Parameters to pass minimal data (location and normal) rather than full objects, ensuring the data packet remains small enough to fit within your network's prioritized bandwidth budget.
Key Takeaway: Optimize your replication strategy by delegating non-critical visual feedback to local client simulation and using the server strictly as a broadcast trigger to conserve bandwidth.