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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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