# Field Module

## Overview

**Diarkis Field** provides a **shared, spatially-aware digital environment** that spans the entire Diarkis server cluster, allowing users connected to **different nodes** to interact seamlessly within a unified virtual space. This module enables **server-agnostic entity visibility** and **real-time proximity-based communication**.

**Core Functionality:**

* **Cluster-Wide Spatial Awareness:**\
  Users connected to any Diarkis server node are registered within the Field as **positioned entities**. Clients transmit coordinate data (e.g., X, Y, Z) to the server, which performs **cluster-wide visibility calculations** to determine which users fall within each other’s **defined visibility range**.
* **Cross-Server Interaction:**\
  Unlike conventional systems where users must be connected to the same physical server to exchange packets, Diarkis Field enables **inter-server interaction**, eliminating boundaries between nodes. This allows all users in the Field to **discover, interact with, and transmit data** to nearby entities regardless of their server origin.
* **Dynamic Visibility and State Management:**\
  The Field module continuously **tracks positional updates** and dynamically adjusts visibility scopes, ensuring that only relevant updates and messages are transmitted between clients based on spatial proximity. This reduces unnecessary network load and improves scalability in large-scale environments.
* **Use Cases:**\
  Diarkis Field is ideal for implementing features such as:
  * Real-time **entity tracking** in open-world or simulation environments
  * **Spatially-limited chat, interaction, or object syncing**
  * Scalable **multi-region digital twins or training simulations**

For integration guidelines, configuration parameters, and advanced features such as filtering and custom visibility logic, refer to the [**Diarkis Field API documentation**](https://docs.diarkis.io/docs/server/current/diarkis/field/index.html#hdr-How_Field_Works).

## Scalability in Diarkis Field

**Diarkis Field** is architected as a **cluster-wide spatial system**, with its state and visibility logic distributed across multiple nodes within the **Diarkis server cluster**. This design enables **horizontal scalability**, where performance and capacity can be dynamically adjusted by **adding or removing servers** from the cluster.

Each server in the cluster contributes to **Field-wide processing**, including **position updates, visibility resolution, and packet routing**, without central coordination or bottlenecks. As new servers are introduced, they automatically integrate into the cluster, **distributing load and expanding capacity** for handling more concurrent entities and larger spatial volumes.

This elastic scalability model allows Diarkis Field to efficiently support **large-scale, real-time environments**, such as massive multiplayer worlds, simulation spaces, or sensor fusion systems, with **minimal operational overhead**.

## How Diarkis Field Works

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### Load Distribution and Dynamic Reallocation in Diarkis Field

As additional servers are introduced into the **Diarkis server cluster**, the overall **user load is proportionally distributed**, reducing the computational and network burden on individual nodes. Diarkis leverages a **decentralized load-balancing mechanism** that ensures **efficient partitioning of user data and visibility calculations** across all active servers.

When the cluster configuration changes—such as scaling in or out—the system automatically performs **stateful reallocation of users** to the appropriate servers. This reallocation is handled **transparently and without service disruption**, ensuring that **real-time synchronization, visibility resolution, and packet exchange** remain consistent throughout the transition.

This dynamic scaling capability enables **elastic adaptation to fluctuating user volumes** while preserving session continuity and ensuring high availability across distributed, spatially-aware applications.