CRM Development Architectures

Comparison of cloud-native and enterprise CRM implementations using Python + Next.js

Cloud-Based CRM

Serverless Recommended
Cloud CRM architecture diagram showing Next.js frontend connected to Python API gateway with serverless functions, connecting to managed database services

Frontend

Next.js 14 React 18 Tailwind CSS

Server components for SEO, edge caching for global performance

Backend

Python 3.11 FastAPI AWS Lambda

Microservices with auto-scaling, JWT authentication

Infrastructure

AWS CDK DynamoDB API Gateway

Infrastructure-as-code with automated CI/CD pipelines

Enterprise-Level CRM

On-Premise Ready
Enterprise CRM architecture showing Kubernetes cluster with Python microservices, Redis cache, and high-availability database setup

Core Services

Django 4 Celery Kafka

Batched processing with worker queues, real-time event streaming

Data Layer

PostgreSQL Redis Elasticsearch

ACID compliance with full-text search and caching

Operations

Kubernetes ArgoCD Prometheus

GitOps workflows with comprehensive monitoring

Implementation Roadmap

1

Core Architecture

  • Set up authentication (OAuth2/OIDC)
  • Design database schemas
  • Implement CI/CD pipelines
2

Module Development

  • Contact management system
  • Sales pipeline visualization
  • Reporting dashboard
3

Enterprise Features

  • Role-based access control
  • Audit logging system
  • Data export/import tools

Technology Decision Tree

Flowchart showing decision paths between cloud vs enterprise CRM approaches with technology recommendations at each branch

When to Choose Cloud CRM

  • Need rapid global deployment
  • Variable workload patterns
  • Lower upfront infrastructure costs

When to Choose Enterprise CRM

  • Strict data residency requirements
  • Need for deep customization
  • High transaction volumes (>1000 TPS)