Agile teams are expected to deliver fast — but secure authentication is one area you can't afford to rush or patch later. If customers can't trust your login, they won't trust your product.
Today, we'll walk through how to design a secure authentication flow using two practical tech stacks:
- Next.js App Router + TypeScript (ideal for full-stack MVPs or internal tools)
- Golang + Gin (ideal for serious, scalable backend systems)
Both work — but Go is the choice for players who need speed, scalability, and resilience (think Uber, Dropbox, Cloudflare).
Why Secure Auth Flow Matters
Authentication is a magnet for attackers. Why? Because breaching auth gives attackers everything: data, control, access.
- Data breaches usually start with credential misuse.
- Customer trust gets crushed immediately if users are compromised.
- Fixing auth later slows down agile sprints because authentication tends to sit at the core of your system.
Design it right early. It's much cheaper and easier than retrofitting security after a breach.
Authentication Options & Tech Trade-offs
You have two mainstream options for maintaining user sessions:
Session Store
A cookie holds a reference (like a session ID), and the server tracks the user session in memory or database.
JWT (JSON Web Token)
The server issues a signed token containing user data. The client sends it with every request. No server memory needed.
Choosing Between Session vs JWT
Feature | Session Store | JWT |
|---|---|---|
Use If | Stateful apps (Next.js) | Stateless APIs (Go, Gin) |
Avoid If | You need massive scaling | You need instant revocation |
Pros | Easy to revoke, simple UX | Scalable, no server memory |
Cons | Sticky sessions, server load | Harder to revoke, token bloat |
Translation for agile teams: - MVP? Use session stores — easier, safer defaults. - Scaling API backend? Use JWTs — fewer bottlenecks, fits microservices better.
Implementing Email OTP (Passwordless Login)
Passwordless is the modern, user-friendly login experience.
Users love it because they don't need to remember passwords — and you dodge common password risks.
Basic Flow:
- User enters their email.
- Backend generates a one-time 6-digit code.
- Email the code to the user.
- User submits the code, which is validated against the database.
Example (in TypeScript-like syntax)
function generateOTP(email: string): string {
const otp = randomSixDigitCode();
saveToDatabase(email, otp, now() + 5 60 1000); // expires in 5 minutes
sendEmail(email, otp); return "OTP sent.";
}
function validateOTP(email: string, submittedOTP: string): boolean {
const record = getFromDatabase(email);
if (!record || record.expiry < now()) {
return false; // expired or invalid
}
return record.otp === submittedOTP;
}Keep OTPs valid for 5 minutes maximum. Delete OTP after successful login to avoid replays.
Next.js: implement via API routes (/api/auth/request-otp, /api/auth/validate-otp).
Gin: expose handlers at /auth/request-otp and /auth/validate-otp.
Threat Mapping & Mitigations
Map common threats to impacts and defenses:
Threat | Impact | Recommended Mitigation | Complexity |
|---|---|---|---|
Brute Force | Account takeover | IP rate limits, exponential backoff | Low |
MITM (Man-in-the-Middle) | Credential theft | Enforce HTTPS, HSTS headers | Low |
DDoS on Login Endpoint | Service outage | IP throttling, cloud WAF | Medium |
Credential Stuffing | Mass account takeover | Bot detection, passwordless flows | High |
Spam Signups | Resource drain | Email validation, CAPTCHA | Medium |
Key Takeaways:
- Rate limit login attempts.
- Encrypt transport with HTTPS.
- Validate users before account creation.
Bot Protection & Rate Limiting
Without bot protection, your login will get hammered—real attacks or scrapers.
Exponential Backoff (Go-like pseudocode)
attempts := getAttempts(ip)
if attempts > threshold {
waitTime := math.Pow(2, float64(attempts-threshold)) * baseDelay
time.Sleep(time.Duration(waitTime) * time.Millisecond)
}Each failed attempt doubles the wait time.
Account Lockout (TypeScript-like pseudocode)
if (failedAttempts > 5) {
lockAccount(userId, 15 * 60 * 1000); // lock for 15 minutes
}IP Rate Limiting
- Allow ~10 attempts/minute per IP.
- Block or require CAPTCHA after a high threshold.
- Use Redis to track and expire counters.
Common Mistakes & Agile-Friendly Fixes
Mistake | Agile-Friendly Fix |
|---|---|
Storing tokens in | Use |
Skipping HTTPS locally | Use mkcert to test HTTPS in development. |
Complex UX without fallback | Offer basic email login if social/SSO fails. |
No lockout on brute force | Add lockout rules early, not post-production. |
No device tracking | Alert users on new device logins. |
Simple fixes now = 10× fewer headaches later.
Authentication Security Checklist
Token & Session Management
Transport Layer Security
Access Control & Rate Limiting
Security Monitoring & Compliance
Security Implementation Note: These measures should be implemented incrementally during development phases rather than as post-deployment patches to ensure proper integration and testing.
Plan for scale — even if you're small today.