Deploying enterprise resource planning (ERP) platforms requires modular and secure microservice patterns. When scaling multi-tenant SaaS products, developers face complex query bottlenecks, data isolation queries, and continuous integration constraints. In this guide, we detail the implementation architecture to resolve transaction latencies and scale database query layers.
Isolating customer data represents the primary design requirement. We recommend Postgres row-level security (RLS) or tenant-specific connection pooling using Prisma or PgBouncer to isolate business records dynamically.
Here is a serverless handler illustrating query routing with local Redis caching:
import { NextResponse } from 'next/server'export async function GET() { const cachedData = await redis.get('erp:users:all') if (cachedData) { return NextResponse.json(JSON.parse(cachedData)) } const users = await db.user.findMany() await redis.setex('erp:users:all', 300, JSON.stringify(users)) return NextResponse.json(users) } ```
Deploy Next.js apps via AWS ECS or Vercel Edge networks to ensure low-latency API response speeds globally.
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