Database Management Redis Subjective
Oct 05, 2025

How do you tune Redis performance for high-throughput applications?

Detailed Explanation
Redis performance tuning strategies: • Configuration Optimization:** # redis.conf optimizations # Memory maxmemory 2gb maxmemory-policy allkeys-lru # Networking tcp-keepalive 300 timeout 0 tcp-backlog 511 # Persistence save 900 1 save 300 10 save 60 10000 stop-writes-on-bgsave-error yes # Slow log slowlog-log-slower-than 10000 slowlog-max-len 128 • Client-Side Optimizations:** # Connection pooling pool = redis.ConnectionPool( host='localhost', port=6379, max_connections=50, retry_on_timeout=True ) r = redis.Redis(connection_pool=pool) # Pipelining for bulk operations pipe = r.pipeline(transaction=False) for i in range(1000): pipe.set(f'key:{i}', f'value:{i}') results = pipe.execute() # Use appropriate data structures # Hash for objects r.hmset('user:1000', {'name': 'John', 'email': 'john@example.com'}) # Sorted sets for rankings r.zadd('leaderboard', {'player1': 1500, 'player2': 1200}) • Memory Optimization:** # Compression settings hash-max-ziplist-entries 512 hash-max-ziplist-value 64 list-max-ziplist-size -2 set-max-intset-entries 512 zset-max-ziplist-entries 128 # Monitor memory usage INFO memory MEMORY USAGE key redis-cli --bigkeys • Monitoring and Alerting:** def monitor_performance(): info = r.info() # Key metrics to track ops_per_sec = info['instantaneous_ops_per_sec'] memory_usage = info['used_memory'] hit_ratio = info['keyspace_hits'] / (info['keyspace_hits'] + info['keyspace_misses']) connected_clients = info['connected_clients'] # Alert thresholds if ops_per_sec > 100000: print('High load detected') if hit_ratio < 0.9: print('Low cache hit ratio') if connected_clients > 1000: print('High client connections') • Scaling Strategies:** • Use Redis Cluster for horizontal scaling • Implement read replicas for read-heavy workloads • Use Redis Sentinel for high availability • Consider Redis modules for specialized use cases **Performance Testing:** # Benchmark Redis performance redis-benchmark -h localhost -p 6379 -n 100000 -c 50 redis-benchmark -t set,get -n 100000 -q
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