Redis Latency Spikes

Unpredictable latency spikes in command execution, often due to background save operations (forking) or disk I/O issues.
  1. Identify Slow Commands: Run SLOWLOG GET 10 to retrieve the last 10 slow operations that Redis processed. This can help identify specific commands that are taking longer to execute.
  2. Check Server Load and Memory Usage: Use the INFO command to get details about memory usage and server load. Pay close attention to the used_memory and used_memory_peak metrics to understand if your Redis instance is running out of memory.
  3. Monitor Latency: Execute LATENCY LATEST to see the latest recorded latencies within the Redis server. This can help pinpoint when the latency spikes are happening.
  4. Check for Blocked Clients: Run INFO clients and look for the blocked_clients metric. A high number of blocked clients can indicate that Redis is taking longer to process commands, leading to increased latency.
  5. Evaluate Current Connections: Use CLIENT LIST to see all current connections to the Redis server and identify if there's an unusual number of connections or specific clients that are sending a high volume of requests.
  6. Analyze Network Bandwidth and Latency: Ensure the network bandwidth and latency between your application and Redis are within expected limits. This might require external tools or commands specific to your operating system to analyze network traffic.
  7. Review Configuration Settings: Check your Redis configuration settings for any misconfigurations that might affect performance. Use CONFIG GET * to view current Redis configuration and pay attention to settings like maxmemory-policy and save intervals which can impact performance.
  8. Examine CPU Usage: Look at the CPU usage on the machine running Redis. High CPU usage can lead to increased command processing times. Use system-specific tools (like top on Linux) to monitor CPU usage.

Each of these actions can provide immediate insights into the cause of latency spikes in Redis and should be followed by appropriate mitigation steps based on the findings.

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