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SDLC Corp
SDLC Corp

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How to Architect a Scalable, Multi-Tenant iGaming Platform in Django

Designing a multi-tenant iGaming platform requires careful consideration of data isolation, scalability, and security. In Django, one robust way to implement schema-based multi-tenancy (each tenant with a separate schema) is by using the django-tenants package.

Let’s walk through the architecture and implementation:

Key Architecture Principles:
Shared Application, Isolated Data: All tenants share the same Django codebase, but their data resides in separate PostgreSQL schemas.

Automatic Tenant Routing: Incoming requests are routed to the correct schema based on the domain/subdomain.

Tenant-Aware Middleware: Middleware determines the current tenant and ensures all DB operations are scoped.

** Step-by-Step Implementation **

  1. Install django-tenants
pip install django-tenants
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2. Project Structure Update

In settings.py, replace the default DATABASE_ROUTERS and add tenant apps:

python

DATABASE_ROUTERS = (
    'django_tenants.routers.TenantSyncRouter',
)

TENANT_MODEL = "clients.Client"  # where tenants are stored
TENANT_DOMAIN_MODEL = "clients.Domain"  # manages domain routing

SHARED_APPS = [
    'django_tenants', 
    'customers',  # your tenant model app
    'django.contrib.contenttypes',
    'django.contrib.auth',
    # other shared apps
]

TENANT_APPS = [
    'games',  # tenant-specific app
    'users',  # each tenant has isolated users
    # your other apps
]

INSTALLED_APPS = SHARED_APPS + TENANT_APPS
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3. Define the Tenant Model
python

# clients/models.py

from django_tenants.models import TenantMixin, DomainMixin
from django.db import models

class Client(TenantMixin):
    name = models.CharField(max_length=100)
    paid_until = models.DateField()
    on_trial = models.BooleanField()
    created_on = models.DateField(auto_now_add=True)

    auto_create_schema = True

class Domain(DomainMixin):
    pass
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4. Create and Migrate Schemas
bash

python manage.py makemigrations
python manage.py migrate_schemas --shared
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5. Create a Tenant via Script or Admin
python

# Example: create_tenant.py

from clients.models import Client, Domain

tenant = Client(schema_name='tenant1', name='Casino X', paid_until='2030-01-01', on_trial=False)
tenant.save()

domain = Domain()
domain.domain = 'tenant1.yourdomain.com'
domain.tenant = tenant
domain.is_primary = True
domain.save()
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Access Control & Middleware

Django-tenants handles schema-based routing, so users from one tenant can never access another tenant’s data — it’s physically separated at the DB level. You can further restrict access using standard Django permissions.

Real-World Considerations for iGaming

  • Add connection pooling for performance using pgbouncer.
  • Use Redis or Memcached for per-tenant caching.
  • Add event logging and auditing per schema.
  • Integrate WebSocket channels with tenant scoping for real-time gaming updates.

Summary
By using Django with django-tenants, you can build a scalable, secure, and fully isolated multi-tenant platform — perfect for hosting multiple iGaming clients from a single backend.

At SDLC CORP, we specialize in building high-performance, secure, and scalable iGaming platforms that serve millions of users worldwide. Whether you're launching an online casino, poker portal, sports betting app, or custom gaming product — we deliver custom multi-tenant architectures tailored to your needs.

Django-based solutions support:

  • Isolated schema design for data security and compliance
  • Real-time game logic with WebSockets and async services
  • Global scalability using AWS, GCP, or on-premise hosting
  • Seamless integration with payment gateways, RNG engines, and KYC systems

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