53e0065e3e
配置 SSOT（TOML + .env） 统一错误契约 Auth 与事务边界 Redis / Celery 可靠性:业务 Redis（DB/0）与 Celery broker/backend（DB/1）显式拆分；连接池、sync client 可观测性（OpenTelemetry + LGTM）
1.4 KiB
1.4 KiB
title, impact, impactDescription, tags, description, alwaysApply
| title | impact | impactDescription | tags | description | alwaysApply |
|---|---|---|---|---|---|
| Use Read Replicas for Read-Heavy Workloads | MEDIUM | Scales read throughput without adding primary nodes | cluster, replicas, read-scaling, high-availability | Use Read Replicas for Read-Heavy Workloads | true |
Use Read Replicas for Read-Heavy Workloads
For read-heavy workloads, distribute reads across replicas to reduce load on primaries.
Correct: Configure replica reads in Redis Cluster.
from redis.cluster import RedisCluster
rc = RedisCluster(
host='localhost',
port=6379,
read_from_replicas=True # Distribute reads to replicas
)
# Writes go to primary
rc.set("key", "value")
# Reads can be served by replicas (eventually consistent)
value = rc.get("key")
Correct: Use replica reads in standalone replication setup.
from redis import Redis
# Connect to primary for writes
primary = Redis(host='primary-host', port=6379)
# Connect to replica for reads
replica = Redis(host='replica-host', port=6379)
# Write to primary
primary.set("key", "value")
# Read from replica (eventually consistent)
value = replica.get("key")
Considerations:
- Replica reads are eventually consistent
- Don't read from replicas for data that was just written
- Use for read-heavy, slightly-stale-OK workloads (caches, analytics, dashboards)
Reference: Redis Replication