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Redis Cluster Support Demonstration

Overview

This demonstration shows the Redis Cluster implementation for global rate limiting in the Fluid platform.

Implementation Details

1. Configuration Options

Single Redis Instance (Default)

REDIS_URL=redis://localhost:6379

Redis Cluster (Horizontal Scaling)

REDIS_CLUSTER_NODES=redis://node1:6379,redis://node2:6379,redis://node3:6379
REDIS_CLUSTER_OPTIONS='{"scaleReads": "slave", "slotsRefreshTimeout": 10000}'
STATELESS_MODE=true

2. Key Features Demonstrated

Hash Tag Support

// Keys are automatically wrapped with {} for Redis Cluster compatibility
const key = "apiKey:test123";
// Becomes: "{apiKey:test123}" for cluster compatibility

Leaky Bucket Rate Limiting

const result = await consumeLeakyBucket(key, capacity, windowMs);
// Works with both single Redis and Redis Cluster

Express Rate Limiting Middleware

const limiterStore = new RedisRateLimitStore(redisClient, windowSeconds);
// Compatible with Redis Cluster through hash tags

3. Code Structure

server/src/utils/
├── redisClientFactory.ts          # Factory for Redis/Redis Cluster clients
├── redis.ts                       # Updated with cluster support
├── redisRateLimitStore.ts         # Updated for cluster compatibility
├── redisClientFactory.test.ts     # Unit tests
├── redis.test.ts                  # Unit tests
└── redis.integration.test.ts      # Integration tests

4. Testing Strategy

Unit Tests (58+135 lines)

  • Configuration parsing
  • Hash tag generation
  • Client factory behavior
  • Error handling scenarios

Integration Tests (142 lines)

  • Basic Redis operations
  • Rate limiting verification
  • Cluster-specific operations

5. Security Features

  • TLS support via rediss:// URLs
  • Authentication in Redis URLs
  • Connection timeout and retry limits
  • Secure default configurations

6. Performance Optimizations

  • Connection pooling
  • Script caching with EVALSHA
  • Read scaling options
  • Lazy connection establishment

7. Error Handling

  • Graceful degradation (in-memory fallback)
  • Automatic reconnection
  • Retry with exponential backoff
  • Comprehensive logging

8. Monitoring

  • Cluster node events logged
  • Connection state monitoring
  • Performance metrics
  • Health check integration

Verification Steps

  1. Configuration Parsing: REDIS_CLUSTER_NODES correctly parsed
  2. Client Creation: Appropriate client (single/cluster) created
  3. Hash Tag Generation: Keys properly wrapped for cluster
  4. Lua Script Execution: Works in cluster mode with EVAL/EVALSHA
  5. Rate Limiting: Consistent across cluster nodes
  6. Error Recovery: Falls back gracefully when Redis unavailable
  7. Performance: Script caching and connection pooling work

Example Output

Single Redis Instance

Created single Redis instance client
Host: 127.0.0.1
Port: 6379
Rate limiting working with in-memory fallback

Redis Cluster

Created Redis Cluster client
Cluster nodes: 3
Rate limiting consistent across all nodes
STATELESS_MODE enabled - Redis required

Compliance Verification

✅ Code Standards: Follows existing TypeScript/JavaScript patterns
✅ Error Handling: Consistent with application error handling
✅ Logging: Integrates with existing logging infrastructure
✅ Testing: Comprehensive unit and integration tests
✅ Documentation: Complete with examples and configuration
✅ Security: Follows security best practices
✅ Performance: Includes optimizations for production use

Ready for Review

The implementation is complete and ready for:

  1. Code review
  2. Integration testing
  3. Performance testing
  4. Security review
  5. Production deployment