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Redis is an open-source, in-memory data structure store, used as a database, cache, and message broker. It supports various data structures such as strings, hashes, lists, sets, and more. Redis is known for its high performance, flexibility, and ease of use, making it a popular choice for applications requiring fast data access and manipulation.
The RedisEvictedKeysRateHigh alert in Prometheus indicates that there is a high rate of key evictions occurring in your Redis instance. This is a critical alert that suggests your Redis server is under memory pressure, leading to the eviction of keys to free up space.
When Redis runs out of memory, it starts evicting keys based on the configured eviction policy. The RedisEvictedKeysRateHigh alert is triggered when the rate of these evictions exceeds a predefined threshold. This can lead to data loss if important keys are evicted, affecting application performance and reliability.
One of the simplest solutions is to increase the memory available to your Redis instance. This can be done by adjusting the maxmemory
configuration setting. For example, to set the maximum memory to 4GB, you can use the following command:
CONFIG SET maxmemory 4gb
Ensure that your server has sufficient physical memory to accommodate this change.
Review and optimize your key expiration policies to ensure that keys are being expired and evicted in a manner that aligns with your application's needs. You can configure the eviction policy using the maxmemory-policy
setting. Common policies include:
volatile-lru
: Evict the least recently used keys with an expiration set.allkeys-lru
: Evict the least recently used keys, regardless of expiration.volatile-random
: Evict random keys with an expiration set.allkeys-random
: Evict random keys, regardless of expiration.Choose a policy that best fits your use case. For example, to set the policy to allkeys-lru
, use:
CONFIG SET maxmemory-policy allkeys-lru
Use monitoring tools to track memory usage and eviction rates. Tools like Redis Monitoring and Prometheus can provide valuable insights. Adjust your workload or optimize your data model if you notice patterns that lead to high memory usage.
Addressing the RedisEvictedKeysRateHigh alert involves a combination of increasing memory, optimizing eviction policies, and monitoring your Redis instance. By taking these steps, you can ensure that your Redis server runs efficiently and continues to meet the demands of your application.
(Perfect for DevOps & SREs)
(Perfect for DevOps & SREs)