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Rate Limiter Simulator

Test different rate limiting algorithms against various traffic patterns to understand their behavior and choose the right approach for your system.

Rate Limiter Configuration

Token Bucket

Allows bursts up to bucket capacity, refills at steady rate

Advantages

  • Handles traffic bursts well
  • Simple implementation
  • Memory efficient

Disadvantages

  • Can allow sustained bursts
  • Requires tuning bucket size

Best For

APIs that need burst tolerance

Traffic Pattern

Traffic Pattern: Steady Load

Consistent traffic with minimal variation

Second 1
Within limit
85 RPS
Second 2
Within limit
82 RPS
Second 3
Within limit
91 RPS
Second 4
Within limit
97 RPS
Second 5
Within limit
92 RPS
Second 6
Within limit
94 RPS
Second 7
Within limit
93 RPS
Second 8
Within limit
90 RPS
Second 9
Within limit
100 RPS
Second 10
Within limit
94 RPS
Second 11
Within limit
86 RPS
Second 12
Within limit
91 RPS
Second 13
Within limit
97 RPS
Second 14
Within limit
90 RPS
Second 15
Within limit
84 RPS
Second 16
Within limit
80 RPS
Second 17
Within limit
94 RPS
Second 18
Within limit
80 RPS
Second 19
Within limit
99 RPS
Second 20
Within limit
100 RPS

Performance Analysis

💡 Optimization Recommendations

Production tip: Use Redis with Lua scripts for atomic operations in distributed environments

Export & Integrate

Export this rate limiting configuration for use in your system architecture.