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Spring Security 6 & JWT Authentication · Lesson

Caching Token Validation for Scale

Learn how to reduce JWT validation overhead at high traffic by caching JWKS keys and validation results without sacrificing security.

The Cost of Validation

Every request to a JWT-protected API runs signature verification and claim checks. At thousands of requests per second, repeated work, especially fetching public keys, becomes a bottleneck.

What Is Safe to Cache

Not everything should be cached. Safe to cache:

  • The public keys (JWKS) used to verify signatures
  • Expensive parsed metadata

Risky: caching a final allow decision for too long can let a revoked token slip through.

All lessons in this course

  1. Short-Lived JWTs and Refresh Cycle
  2. JWT Blacklisting and Whitelisting
  3. Performance Considerations for JWT
  4. Caching Token Validation for Scale
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