RedisDown #
Redis instance is down
Alert Rule
alert: RedisDown
annotations:
description: |-
Redis instance is down
VALUE = {{ $value }}
LABELS = {{ $labels }}
runbook: https://srerun.github.io/prometheus-alerts/runbooks/oliver006-redis-exporter/redisdown/
summary: Redis down (instance {{ $labels.instance }})
expr: redis_up == 0
for: 0m
labels:
severity: critical
Here is a runbook for the RedisDown alert rule:
Meaning #
The RedisDown alert is triggered when the redis_up
metric returns a value of 0, indicating that the Redis instance is not responding or is down. This alert is critical, as Redis is a key component of our application and its unavailability can significantly impact our users.
Impact #
The impact of this alert is high, as Redis is a critical component of our application. If Redis is down, our application may not be able to function properly, leading to:
- Loss of data
- Decreased performance
- Errors and exceptions
- Unavailability of key features
- Potential revenue loss
Diagnosis #
To diagnose the issue, follow these steps:
- Check the Redis instance’s logs for errors or exceptions.
- Verify that the Redis process is running and that there are no issues with the underlying infrastructure (e.g. disk space, memory, etc.).
- Check the network connectivity between the Prometheus server and the Redis instance.
- Verify that the Redis exporter is properly configured and sending metrics to Prometheus.
- Check the Redis configuration file for any changes or errors.
Mitigation #
To mitigate the issue, follow these steps:
- Restart the Redis instance if it is not running.
- Investigate and resolve any underlying infrastructure issues (e.g. disk space, memory, etc.).
- Check and update the Redis configuration file if necessary.
- Verify that the Redis exporter is properly configured and sending metrics to Prometheus.
- Consider implementing redundancy or failover mechanisms for the Redis instance to prevent future downtime.
Additional resources:
Note: This runbook is a general guide and may need to be customized to fit your specific use case and environment.