Unreal Engine Replication Pipeline
WinterTurtle23

WinterTurtle23 @winterturtle23

About: Unreal Engine Game Developer | C++ & Blueprint | VR, Multiplayer & Android | I build simulations, shooters, runners, & sci-fi games

Location:
Prayagraj, India
Joined:
Oct 20, 2021

Unreal Engine Replication Pipeline

Publish Date: May 22
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🔄 Understanding Unreal Engine's Replication Pipeline

Multiplayer games live and die by their network code — and Unreal Engine’s replication system is one of the most powerful and flexible networking architectures in the game dev world. Whether you're syncing player positions, firing weapons, or managing inventories, replication ensures your game state stays consistent across the server and all clients.

In this post, I’ll walk you through Unreal Engine's replication pipeline, explain how it works under the hood, and share best practices I’ve used in multiplayer projects like Offensive Warfare and Relic Hunters.


🧠 What Is Replication?

Replication in Unreal Engine refers to the process of sending data from the server to clients (and vice versa) to keep game state consistent. UE is a server-authoritative engine, meaning the server owns the truth, and clients receive only the allowed view of that truth.


🛠️ Key Components of the Replication Pipeline

1. UProperties with Replicated or ReplicatedUsing

You can mark variables to replicate automatically:

UPROPERTY(Replicated)
float Health;

UPROPERTY(ReplicatedUsing = OnRep_Score)
int32 Score;
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With ReplicatedUsing, you can trigger a callback when the variable updates on clients:

UFUNCTION()
void OnRep_Score();
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2. GetLifetimeReplicatedProps()

This function tells the engine what properties should replicate and how:

void AMyCharacter::GetLifetimeReplicatedProps(TArray<FLifetimeProperty>& OutLifetimeProps) const
{
    Super::GetLifetimeReplicatedProps(OutLifetimeProps);

    DOREPLIFETIME(AMyCharacter, Health);
}
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3. Remote Procedure Calls (RPCs)

🖥️ Server RPCs

Run logic on the server, called from the client:

UFUNCTION(Server, Reliable)
void Server_Fire();
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🛰️ Client RPCs

Run logic on a specific client, called by the server:

UFUNCTION(Client, Reliable)
void Client_ReceiveDamage(float DamageAmount);
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📡 Multicast RPCs

Run logic on all clients, called by the server:

UFUNCTION(NetMulticast, Reliable)
void Multicast_PlayExplosion();
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🔄 The Replication Flow

Here’s a simplified step-by-step overview of what happens during replication:

  1. Server Updates State – The authoritative game state is changed (e.g., Health drops).
  2. Replication Conditions Checked – Unreal decides if and where the update should be sent.
  3. Properties Marked as Dirty – UE marks only changed properties for replication (optimization).
  4. Data Packaged & Sent – UE serializes the property/RPC data and sends it over the network.
  5. Clients Receive & Apply – The client deserializes the data and updates its local copy.
  6. OnRep Callbacks Triggered – If ReplicatedUsing is set, the callback function runs.

⚙️ Tips for Effective Replication

✅ Use COND_SkipOwner to avoid sending data back to the client who already knows it.

✅ Keep replicated variables minimal and optimized. Bandwidth is precious.

✅ Use Reliable RPCs only for critical actions (like firing a gun), not for frequent updates.

✅ Use Network Profiler and stat net to monitor replication costs.


🧵 Real-World Use Case: Shooting System

In my game Offensive Warfare, the firing mechanism works like this:

  1. Player presses Fire (on Client)
  2. Calls Server_Fire() RPC
  3. Server runs logic → updates ammo count → calls Multicast_PlayFireEffect()
  4. All clients (including the shooter) play fire VFX/SFX
  5. Ammo HUD updated via OnRep_Ammo

📌 Final Thoughts

Unreal Engine’s replication pipeline is powerful but performance-sensitive. Once you understand how data flows from server to client (and vice versa), you can build scalable and reliable multiplayer games — from fast-paced shooters to synchronized simulations.

If you're working on a multiplayer Unreal project and have questions about replication, session systems, or optimization, drop a comment or DM — happy to help!


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