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What server authority means for a board game
The client sends an intent, such as “move the knight from g1 to f3,” rather than a claimed result such as “I captured a piece” or “I won.” The server checks that the request is allowed in the current game, calculates its consequences, and saves the resulting state. Players then receive the outcome the server accepted.
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This is the model described in boardgame.io’s multiplayer documentation: the game master computes the next state and broadcasts it; if an optimistic client calculation differs, the master’s result replaces it. Unity’s Cloud Code game-state example similarly checks the turn, piece, legality, captures, and checkmate before saving updated chess state.
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Server authority reduces the trust placed in clients, but it does not stop every kind of abuse. Authentication, authorization, request limits, message-size limits, and game-specific invariants still matter. A server can also have bugs or be targeted at the account or infrastructure level.
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Separate the reducer from network and storage
Keep the rules in a transition function with a narrow contract: given an immutable state snapshot and a validated action, return the next state or a domain-level rejection. The reducer should not write to a database, send a socket message, read the wall clock, or use uncontrolled randomness. Those effects belong in the server layer that coordinates the reducer.
function reduce(state, action) {
if (state.currentPlayer !== action.player) return reject("not your turn");
if (!isLegalMove(state.board, action.from, action.to)) return reject("illegal move");
return accept(applyMove(state, action));
}This sketch illustrates separation of responsibilities, not a complete validation or persistence implementation. In a real service, derive the acting player from the authenticated session, not from an untrusted identity field in the action. Validate the action’s shape and ranges before calling game rules. Godot’s high-level multiplayer guidance explicitly treats client input as untrusted and recommends validating RPC arguments.
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Pure transitions help make rule tests repeatable: the same state and action produce the same result, so edge cases can be tested without a live server or database. They also make action histories easier to replay. EigenInteractive’s engine overview and state-transition contract provide one concrete example of deterministic state derived from a seed and ordered actions, with replay-stable randomness. That is an engine-specific approach, not a universal API requirement.
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A safe request-to-commit flow
- Receive an intent. The client sends a game identifier, the version of state it expects, and an action. The authenticated session supplies player identity.
- Load and validate. The server loads authoritative state and verifies game membership, turn ownership, expected version, action schema, ranges, and legal preconditions.
- Run the reducer. Pass the validated action and an immutable state snapshot to the deterministic transition function. It returns a new state or a domain error without performing I/O.
- Commit atomically. The orchestration layer saves the state and advances its version as one operation. If replay or history is needed, record the accepted action as part of the chosen persistence design.
- Publish observations. Send each player only the state they are entitled to see, then let clients replace or reconcile any local preview with the accepted result.
Two requests can race to act on the same turn. Serialize transitions or use a version check such as compare-and-swap so only one action based on a particular state version can commit. A stale or rejected request should produce a clear response and, where useful, prompt the client to refresh—not silently update local authoritative state. The exact transaction and retry strategy depends on the storage and concurrency model; there is no single implementation established by the cited guidance.
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Keep the client responsive without giving it authority
For visible, predictable moves, the client can optimistically animate or apply a move while the server processes it. Once the server response arrives, the client adopts that accepted state; if the move was rejected or its preview differed, it reconciles the display. This can make turn-based play feel more immediate without treating client computation as proof that a move is legal.
Prediction is optional, not a requirement. It adds reconciliation complexity and may be a poor fit when the client lacks enough information to predict an outcome safely, especially for actions involving hidden information. Godot discusses the performance and prediction trade-offs of server authority in its multiplayer guidance; Nakama describes authoritative multiplayer as a design choice for stricter control over gameplay rules in its authoritative multiplayer documentation.
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Send each player only their observation
Keep the complete state on the server when it contains private cards, objectives, or other information that opponents must not see. Before sending updates, create a player-specific observation or projection. Hiding secret elements in the interface is not protection if the client already received the underlying data. EigenInteractive’s engine overview illustrates hidden information as part of player-specific observations.
Choose how much logic and state to send
| Approach | Responsiveness | Consistency work | Server and network load | Hidden information |
|---|---|---|---|---|
| Server-only transition; client renders the accepted result | May feel slower when a player must wait for a server response, particularly on a high-latency connection. | Less client reconciliation logic; server results remain authoritative. | The server performs the transitions; state updates still need to be delivered to clients. | Supports player-specific projections; do not send secrets to unauthorized clients. |
| Server authority with client-side optimistic preview | Can feel more responsive because the client displays a preview before confirmation. | Requires reconciling, replacing, or rolling back previews when the server result differs or an action is rejected. | Adds client/server coordination; the server still validates and commits. | Prediction may be unsuitable when the action depends on information the client does not have. |
Neither approach has a universal performance advantage. The right balance depends on the game’s pace, threat model, latency tolerance, and operating budget. Server authority uses server compute and communication; prediction can reduce perceived waiting but costs implementation complexity. The cited documentation provides no benchmark figures for a particular board game, so measure your own workload rather than treating a general architecture choice as a performance guarantee.
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Common ways this design fails
- Trusting a reported result: accept an action such as a proposed move, not a client-asserted score, capture, or win. Recompute consequences on the server.
- Checking then writing without concurrency control: competing requests may both pass validation against the same turn. Serialize them or require the state version to match at commit.
- Letting the reducer depend on uncontrolled inputs: wall-clock reads, unseeded randomness, external reads, or mutable globals can make replays and previews diverge. Supply required time or seeded randomness explicitly, or keep the decision in a controlled server lifecycle layer.
- Sending full state and hiding it in the UI: a player can inspect data already delivered to their device. Build and send authorized projections instead.
- Treating optimistic updates as authoritative: a preview is a user-experience technique, not a committed move. Replace it with the server result or handle rejection clearly.
- Assuming the server alone solves security: validate permissions and invariants, and protect the service against excessive or malformed requests as well as gameplay exploits.
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