ERP System with Modular Monolith Architecture

Published on
Stack
Laravel + Modular Monolith
Role
Software Architect
Scale
Enterprise
Sector
Corporate

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Overview

This ERP system is built on top of Laravel using a Modular Monolith architecture — a design pattern that combines the simplicity of a monolithic deployment with the structural discipline of modular separation. Rather than scattering business logic across a tangled codebase, every business domain (e.g., HR, Sales, Operations, Authentication) lives in its own isolated module under app/Modules/, each self-contained with its own Domain, Controllers, Routes, Jobs, and Providers.

This approach ensures the system is maintainable at scale, reduces inter-module coupling, and enables teams to work on different modules independently without stepping on each other's code. All modules share a common Core base layer that enforces consistent patterns across repositories, services, and contracts.

Architecture Highlights

Modular Directory Structure

Each module follows a strict, predictable structure:

app/
├── Core/
│   ├── Contracts/
│   ├── Repositories/
│   └── Services/
└── Modules/
    └── {MODULE}/          # HR, SALES, OPS, AUTH, USER, etc.
        ├── Domain/
        │   ├── Contracts/
        │   ├── Models/
        │   ├── Repositories/
        │   └── Services/
        ├── Http/
        │   ├── Controllers/
        │   └── Middleware/
        ├── Jobs/
        ├── Providers/
        └── Routes/

This structure means every developer instantly knows where to find any piece of logic, regardless of which module they're working in.

Layered Separation of Concerns

The architecture enforces strict layer responsibilities across four levels:

  • Model — Defines schema, relationships, and casts only. Zero business logic.
  • Repository — The sole layer permitted to interact with the database via Eloquent. All queries, filters, and caching live here.
  • Service — Pure business logic. Orchestrates repository calls, fires lifecycle hooks (afterCreate, afterUpdate, afterDelete) for activity logging and cache invalidation.
  • Controller — Thin layer that validates input, delegates to the service, and returns a response. No inline DB calls, no business logic.

Tag-Based Caching Strategy

Every repository method that returns a result set or single record is wrapped with tag-based cache using Cache::tags([$module, $service]). Cache keys are deterministic, combining module name, service name, method name, and a hash of the query payload. Any write operation automatically flushes the relevant cache tags, ensuring data consistency across the system.

Module Isolation via Contracts

Modules never import concrete classes from each other's internal Domain namespace. Cross-module communication is only permitted through published {Entity}ServiceContract interfaces — enforcing loose coupling and making modules independently testable and replaceable.

// ✅ Correct: depend on Contract, not concrete implementation
use App\Modules\APP\Domain\Contracts\ActivityLogServiceContract;

// ❌ Forbidden: importing another module's internal Service
use App\Modules\APP\Domain\Services\ActivityLogService;

Activity Logging via Lifecycle Hooks

Every write operation (create, update, delete) dispatches structured activity logs through ActivityLogService inside the service's lifecycle hooks. This provides a full audit trail across all ERP modules without polluting business logic with logging code.

Key Features

Multi-Module ERP Coverage

Supports core enterprise domains such as HR, Sales, Operations, User Management, and Authentication — each isolated as an independent module but seamlessly integrated through the shared Core layer and contract-based communication.

Consistent Developer Experience

Strict naming conventions ({Entity}Repository, {Entity}Service, {action}{EntityName} controller methods) and a shared base layer (BaseRepository, BaseService, BaseServiceContract) ensure every module feels identical to work with, dramatically reducing onboarding time.

Scalable Cache Architecture

Tag-based caching with automatic invalidation on writes means the system performs well under load without serving stale data — and cross-service cache flushing handles complex dependency scenarios between modules.

Permission-Based Access Control

Controllers implement HasMiddleware, with granular permission middleware applied per action (index, add, edit, delete). This enables fine-grained role-based access control across every module in the system.

Robust Error Handling

Every controller action wraps service calls in try/catch, reports exceptions, and returns user-friendly flash messages — ensuring the system degrades gracefully and errors are always captured for debugging.

Outcome

The Modular Monolith ERP system delivers the organizational clarity of microservices without the operational overhead of distributed systems. By enforcing architecture rules at the code level — strict layer separation, module isolation via contracts, mandatory caching, and explicit routing — the codebase remains clean, consistent, and extensible as new modules and features are added over time. The result is an enterprise system that scales with the business while staying maintainable for the engineering team.