What should be done if Redis overflows under high load?
sobes.tech AI
Answer from AI
If Redis becomes overwhelmed under heavy load, several steps should be taken to address the issue:
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Configure the eviction policy — Redis allows you to set what happens when memory is full, such as removing the least used keys (LRU), the least frequently used (LFU), or simply not accepting new entries.
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Increase available memory — if possible, allocate more memory to the Redis server.
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Optimize data — reduce the size of stored data, use more compact structures, such as hashes instead of individual keys.
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Use TTL (time to live) — to automatically delete outdated data and free up space.
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Horizontal scaling — use Redis cluster or sharding to distribute load and data across multiple nodes.
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Monitoring and alerts — set up memory usage monitoring and alerts to respond promptly to load increases.
Example of setting eviction policy in Redis configuration:
maxmemory 2gb
maxmemory-policy allkeys-lru
This limits memory usage to 2 GB and will remove the least recently used keys when full.