Redis Slow Replication

Significant replication lag between the master and replicas in a Redis cluster, leading to outdated or inconsistent data.
  1. Check Replication Lag: Determine the replication lag by running the command redis-cli -h <master-ip> info replication. Look for the lag field under each slave to see how far behind each replica is.
  2. Monitor Network Latency: Use the ping command between the master and replica instances to check if network latency is contributing to the slow replication.
  3. Check CPU and Memory Usage: High CPU or memory usage can affect replication speed. Use commands like top or htop (Linux), Activity Monitor (Mac), or Task Manager (Windows) to check the usage on both master and replica servers.
  4. Review Redis Configuration: Examine the redis.conf file or use CONFIG GET command to check for any misconfiguration, especially the repl-backlog-size and client-output-buffer-limit slave settings, which can impact replication.
  5. Investigate Slow Commands: Run redis-cli -h <master-ip> --latency-history to monitor command latencies and identify slow commands affecting replication.
  6. Increase Replication Bandwidth: If the bandwidth is the bottleneck, consider increasing the network capacity between the master and replica instances.
  7. Check for Large Keys: Use redis-cli --bigkeys or MEMORY USAGE <key> to find and possibly refactor or delete large keys that might be causing replication delays.
  8. Resize Instance (if applicable): If the instance is too small to handle the load, consider resizing it to a larger one with more CPU and memory resources.
  9. Check Disk I/O Performance: Use iostat (Linux) to monitor disk I/O performance. Slow disks can significantly affect replication speed, especially when dealing with large datasets.
  10. Restart Replication: If all else fails, and replication lag is significantly high with no improvement, consider restarting the replication process by using SLAVEOF NO ONE followed by SLAVEOF <master-ip> <master-port> on the replica. This should be done with caution and ideally during a maintenance window.

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