CRE-2025-0041
\- In redis\-py v5.x, sharing a single Redis client across async tasks or subprocesses can result in\:
\- In redis\-py v5.x, sharing a single Redis client across async tasks or subprocesses can result in\:
\- When Redis is restarted, Celery workers using Redis as a broker may stop consuming tasks without exiting or logging a fatal error.
Detects a cascade of critical Redis failure modes in a single session\:
The Redis instance has reached its configured 'maxmemory' limit. Because its active memory
Detects Redis connection timeout errors and connectivity failures that prevent clients from establishing or maintaining connections to the Redis server. These issues commonly occur during high load, network problems, or server resource exhaustion.
Detects Redis authentication failures including wrong passwords, missing authentication, and ACL permission denials. These errors prevent legitimate clients from accessing Redis and may indicate security misconfigurations or attempted unauthorized access.
Detects failures in Redis master\-replica synchronization including broken replication links, sync timeouts, and full resync loops. These issues compromise data consistency and high availability in Redis deployments.
Detects Redis MISCONF errors when the server cannot persist data to disk due to RDB/AOF write failures. This critical error prevents Redis from saving snapshots and may lead to data loss on restart.
Detects slow query execution in Redis that exceeds configured thresholds. Slow queries indicate performance problems that can impact overall Redis responsiveness and application latency.
Detects attempts to perform write operations on Redis read\-only replicas. This error indicates application misconfiguration where clients are incorrectly routing write commands to replica instances instead of the master.
Detects Redis Append\-Only File (AOF) corruption that prevents Redis from starting or causes data loss. AOF corruption typically occurs due to unexpected shutdowns, disk errors, or incomplete writes during crashes.
Detects when Redis reaches its maximum client connection limit, preventing new clients from connecting. This critical issue causes connection failures and service unavailability for new requests.
Comprehensive detection rule for multiple common Redis troubleshooting scenarios including\:
Detects Redis out\-of\-memory errors when the maxmemory limit is reached and the configured eviction policy prevents new writes. This typically occurs when Redis is configured with 'noeviction' policy and memory usage exceeds the maxmemory setting, causing all write commands to fail.