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Monitor ClickHouse query latency, rows read, memory, parts, merges, mutations, replication, Keeper, disk growth, and ingestion freshness with actionable alerts.
Design ClickHouse backups and replication for availability and recovery: separate replicas from historical backups, define RPO/RTO, monitor Keeper, and test restores.
Design Kafka retention across time and size limits, delete vs compact cleanup, replication, ISR durability, consumer replay windows, and storage capacity.
Compare PostgreSQL replication, backups, point-in-time recovery, and snapshots by the failure modes each protects and the recovery gaps each leaves.
Understand Kafka metrics for broker health, replication, consumer progress, request pressure, and alert design for reliable production event streams.
Learn Kafka partitions, keys, replication, partition count, skew, and scaling trade-offs so you can plan ordering, parallelism, and growth safely.
PostgreSQL high availability explained: architecture, synchronous vs asynchronous replication, failover, fencing, read replicas, application reconnects, and managed vs self-hosted HA.
Learn database monitoring for small teams across performance, connections, slow queries, locks, capacity, replication, backups, restore evidence, tools, and alerts.
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