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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.