Why Most SaaS Launches Fail Technically
Technical failure at launch rarely comes from choosing the wrong framework or database. It comes from overlooking the boring-but-critical infrastructure decisions that are invisible when things go right and catastrophic when things go wrong - authentication edge cases, missing rate limiting, inadequate backups, no monitoring. This checklist is compiled from lessons learned building SaaS products for clients across dozens of industries.
Architecture and Infrastructure
- Choose a deployment platform: AWS, GCP, Azure, or managed platforms like Railway or Fly.io.
- Set up separate environments: development, staging, and production.
- Configure CI/CD pipeline with automated tests before any deployment to production.
- Implement infrastructure as code (Terraform or Pulumi) for reproducible environments.
- Plan for horizontal scaling from day one - stateless services, external session storage.
Authentication and Security
- Use a proven auth library (Auth.js, Clerk, Supabase Auth) rather than rolling your own.
- Implement MFA (multi-factor authentication) from launch, not as a later addition.
- Set up rate limiting on all API endpoints, especially auth endpoints.
- Validate and sanitize all user input. Never trust client-side data.
- Encrypt all sensitive data at rest and in transit.
- Set up security headers: CSP, HSTS, X-Frame-Options.
Payments and Billing
Use Stripe for payments - it is the industry standard for a reason. Implement webhooks for payment events (subscription created, payment failed, subscription cancelled) and test every edge case before launch. Failed payment handling is where many SaaS products lose significant revenue due to poor dunning management.
Observability and Monitoring
- Set up error tracking (Sentry) before your first user signs up.
- Implement structured logging with a service like Datadog or Logtail.
- Create uptime monitoring with alerting via Better Uptime or PagerDuty.
- Track business metrics (signups, activations, MRR) from day one in a product analytics tool.
Legal and Compliance
Before launch: publish a Privacy Policy, Terms of Service, and Cookie Policy. If you have users in the EU, ensure GDPR compliance including a lawful basis for data processing and the ability to delete user data on request. For healthcare data, understand HIPAA requirements early - retrofitting compliance is expensive.
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