ClickHouse monitoring and operations

Watching and troubleshooting self-managed ClickHouse: Prometheus metrics, the built-in dashboard, system tables, Keeper health, tracing and the errors operators hit most.

Analyzing ClickHouse system.query_log

Finding slow, failed and expensive queries in system.query_log: useful columns, retention with TTL, sampling with log_queries_probability, and cluster-wide queries across replicas.

Monitoring ClickHouse Keeper health

Checking Keeper with ruok, mntr and lgif, watching leader changes, latency and snapshot sizes, and the Keeper warnings that precede replication problems.

Self-monitoring ClickHouse with ClickStack

Pointing the HyperDX UI at ClickHouse system tables for deep debugging: the bundled Selects, Inserts and Infrastructure dashboard, Lucene and SQL search, and keeping it separate from alerting.

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