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Your AI Solutions Architect
for Backend Systems

Evaluate architecture patterns. Make strategic trade-offs. Implement production backend code.
Senior-level architecture expertise without the $300K hire.
⏎
to send
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AI evaluating architecture patterns...
auth.service.ts•47 lines
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import { validateToken, generateJWT } from '@/lib/auth';
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import { TenantService } from '@/services';
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/** Multi-tenant authentication with RBAC */
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Generating...
TypeScriptUTF-8
Ln 7, Col 48100%

Calculate Your Savings

See how much time and money SnapInfra can save your team

1550+
1320+
$50$100$200+
Estimated Annual Savings
~498 hours
Time saved per year
~174 hours infrastructure + ~324 hours development
$253K
Total cost savings
$249K dev time + $4K infrastructure
~90 APIs
APIs generated per year
Comparison Breakdown
Infrastructure setup (Terraform):6h vs 180h
(97% time saved)
Monthly infrastructure cost (AWS):$99 vs $450
($351/mo saved, 78% reduction)
API development time:~30% faster
(~324 hours saved per year)
Total APIs per year:90 APIs
(30 APIs × 3 projects)
ROI Payback Period:1 month
Based on $$253K annual savings

Why Backend Architecture Fails

Most teams make critical architecture decisions without senior-level expertise. Early patterns determine if your backend scales or becomes a rewrite.

01

Wrong Multi-Tenancy Pattern

"We picked schema-per-tenant..."

Database connection pool exhausted at 500 tenants

Migrations take 8+ hours with 1000 schemas

$200K to rewrite to shared schema + RLS

6 months of eng time lost

43%of B2B SaaS startups

Pick wrong multi-tenant pattern

02

No Scaling Strategy

"We'll scale when we need to..."

Monolith can't handle 10K concurrent users

No read replicas = slow queries everywhere

Rewriting to microservices: $350K budget

Lost 3 enterprise deals due to performance

68%of startups

Underestimate scaling needs

03

Poor Data Modeling

"NoSQL seemed easier..."

Can't do joins = duplicated data everywhere

No ACID transactions = data inconsistency bugs

Migration to PostgreSQL: 4 months of eng time

Analytics impossible without proper schema

71%of teams

Regret early database choice

Senior-Level Architecture Intelligence

Define your requirements. AI evaluates patterns and proposes architecture. You refine decisions. Deploy production code to your infrastructure.

Feature ComparisonNo-Code
(Firebase/Supabase)
SnapInfraRaw IaC
(Terraform/K8s)
Time to first deploy1 hour1 hour40+ hours
Learning curveDays2 weeks3-6 months
Transaction supportMissing (Supabase)Built-inManual setup
Vendor lock-inHigh riskFull exportPortable
Architecture Design❌✅ AI proposes❌
Backend Code❌✅ Complete❌
Complete Backend SystemLimitedFull codeFull code
Cost predictabilitySurprise billsUsage capsControlled
Enterprise Backend FeaturesFor prototypesDay oneAfter weeks
Your monthly cost at 1M users$0-$2,847
(volatile)
$0-$299
(capped)
$280 + 3 engineers

Why Teams Choose SnapInfra for Backend Architecture

Complete Backend Architecture

Not starter templates or code snippets. Complete production backend systems with multi-tenant architecture, security, and scalability designed from the start.

// Your generated API route
export const createTask = async (req) => {
const task = await db.tasks.create({
userId: req.user.id,
title: req.body.title
});
return task;
}

Own Your Backend Infrastructure

Full source code export. Deploy to your AWS/GCP/Azure. Your backend, your cloud, your control. Zero vendor lock-in.

$ snapinfra export --format terraform
Exporting...
✓ main.tf
✓ variables.tf
✓ docker-compose.yml
✓ README.md
Done! Deploy anywhere.

No $30K Surprise Bills

Usage caps prevent Firebase nightmares. See exactly what you'll pay at 10x scale before you deploy.

10K users
$49/mo
100K users
$99/mo
1M users
$249/mo
Compare: Firebase ~$2,847/mo • Supabase ~$419/mo
TypeScript type safety
Express.js patterns
ESLint + Prettier
Standard Terraform
Docker Compose
Usage caps

Enterprise Backend Patterns Built-In

Multi-tenant architecture, RBAC, audit logging, event sourcing. Production patterns your senior engineers will approve.

ACID transactions
Full-text search
Row-level security
Point-in-time recovery
Automated backups
Real-time subscriptions
Auto-generated APIs
Edge Functions
File storage
Authentication
Enterprise features, startup pricing

From Platform Vision to Production Backend

Architecture design + backend implementation in one workflow

01

Define Your Backend Requirements

Describe your platform architecture needs. Scale requirements, data patterns, compliance constraints. AI understands system design, not just code syntax.

Example Architecture Brief
"Enterprise B2B SaaS. Multi-tenant architecture with row-level tenant isolation. Event-driven for 10M+ requests/day. RBAC with audit logging. PostgreSQL with read replicas + Redis caching. Stripe integration for usage-based billing. Must be SOC2 compliant."
02

AI Architects Your Backend System

AI proposes architecture patterns, evaluates trade-offs, implements security boundaries. Not templates. Complete backend systems with enterprise patterns baked in.

Architecture Design
Multi-tenant + RBAC
with security boundaries
Database Design
Optimized schema
+ indexes + migrations
Production Code
TypeScript Backend
+ IaC ready to deploy
Event-driven patterns
Scalability designed in
Security boundaries enforced
03

Deploy to Your Infrastructure

Choose your deployment target. One-click hosted, deploy to your AWS account, or self-hosted with full control.

One-Click Hosted
Recommended
30 seconds
Auto-scaling
Monitoring
Your AWS
Full control
Your credentials
Your billing
Self-Hosted
Docker Compose
One command
Your servers
Export Only
Full ownership
Terraform
Deploy anywhere
Minutes
Architecture to production
Enterprise
Patterns built-in
Your Cloud
AWS, GCP, or Azure
Zero
Vendor lock-in

The Backend Architecture Expertise Gap

Strategic decisions that determine if your backend scales

The Real Problem

Every startup needs senior backend architecture expertise to make the right scaling, multi-tenancy, and data modeling decisions. But hiring a $300K+ solutions architect isn't an option.

Junior developers build backends that don't scale. Senior architects are expensive and scarce. SnapInfra is your AI backend architect that proposes patterns, evaluates trade-offs, and implements production code.

Architecture Challenge

Multi-Tenant Data Isolation

Need row-level tenant isolation for B2B SaaS but unsure about performance trade-offs. Schema-per-tenant vs shared schema with RLS?

AI Architect Solution
✓ Proposed shared schema + RLS
✓ Implemented tenant_id indexes
✓ Production-ready in 2 hours
Architecture Challenge

Event-Driven at Scale

Need async processing for 10M+ daily events but unclear on event sourcing vs message queues. What's the right pattern for our scale?

AI Architect Solution
✓ Proposed SQS + dead letter queues
✓ Designed retry logic + idempotency
✓ Handles 50M events/day
Architecture Challenge

Database Scaling Strategy

PostgreSQL hitting limits at 100K users. Read replicas? Sharding? Caching strategy? Need architect-level guidance on what scales.

AI Architect Solution
✓ Proposed read replicas + Redis
✓ Query optimization + indexes
✓ Scaled to 5M users
$300K
architect cost saved
vs hiring senior solutions architect
10+ years
experience encoded
Enterprise patterns & best practices
100%
code ownership
Your architecture, your infrastructure

Built on the Best

Enterprise tech stack your engineers already love

No proprietary lock-in. Just battle-tested tools.

Frontend

Next.js
Next.js 15
React framework
TypeScript
TypeScript
Type-safe JavaScript
Tailwind CSS
Tailwind CSS
Utility-first CSS
React
React 18
UI library

Backend

Express.js
Express.js
Web framework
Node.js
Node.js 18
Runtime environment
AWS CDK
AWS CDK
Infrastructure as code
TypeScript
TypeScript
Type-safe backend

Infrastructure

AWS
AWS
Cloud platform
Docker
Docker
Containerization
Terraform
Terraform
IaC tool
PostgreSQL
PostgreSQL
Database

Why these tools?

Industry standard

No vendor lock-in

Battle-tested at scale

Billions of requests daily

Your team knows them

Zero learning curve

Huge ecosystem

Thousands of plugins

Long-term support

Backed by giants

99.99% uptime

Production-ready

Built secure. Stays secure.

SOC 2, HIPAA, GDPR compliant from day one

Security Features

Encryption at rest (AES-256)
Encryption in transit (TLS 1.3)
Row-level security (PostgreSQL RLS)
API key rotation
IP allowlisting
DDoS protection (CloudFlare)
Automated security updates
Penetration testing (quarterly)

Compliance

SOC 2 Type II certified
HIPAA compliant
GDPR compliant
ISO 27001 in progress

Audit Trail

Every action logged. Full compliance reports.

API Security

Rotating keys, IP allowlisting, and rate limiting

Monitoring

24/7 security monitoring and alerting

Incident Response

Automated threat detection and response

Data Protection

End-to-end encryption and backups

SOC 2 Type II
HIPAA
GDPR
ISO 27001

Trusted by healthcare, fintech, and government organizations

Your AI Backend Architect

Evaluate architecture patterns. Make strategic trade-offs. Implement production backend code.

No credit card required • Full source ownership

SOC 2 Type II
ISO 27001
GDPR Compliant
Snapinfra

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