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)
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title, impact, impactDescription, tags, description, alwaysApply
| title | impact | impactDescription | tags | description | alwaysApply |
|---|---|---|---|---|---|
| Monitor Key Redis Metrics | MEDIUM | Early detection of performance and capacity issues | observability, metrics, monitoring, memory, connections | Monitor Key Redis Metrics | true |
Monitor Key Redis Metrics
Track these metrics to catch issues before they impact users.
| Metric | What It Tells You | Alert When |
|---|---|---|
used_memory |
Current memory usage | > 80% of maxmemory |
connected_clients |
Number of connections | Sudden spikes or drops |
blocked_clients |
Clients waiting on blocking ops | > 0 sustained |
instantaneous_ops_per_sec |
Current throughput | Significant drops |
keyspace_hits/misses |
Cache hit ratio | Hit ratio < 80% |
rejected_connections |
Connection limit issues | > 0 |
rdb_last_save_time |
Last persistence snapshot | Too old |
Correct: Export metrics to your monitoring system.
# Get key metrics
info = redis.info()
print(f"Memory: {info['used_memory_human']}")
print(f"Connections: {info['connected_clients']}")
print(f"Ops/sec: {info['instantaneous_ops_per_sec']}")
print(f"Hit ratio: {info['keyspace_hits'] / (info['keyspace_hits'] + info['keyspace_misses']) * 100:.1f}%")
Redis Insight: Use Redis Insight for visual monitoring, query profiling, and debugging. It includes Redis Copilot for natural language queries.
Reference: Redis Insight