4 docs tagged with "redis"

\- 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