Cassandra Compaction, Repair & Node Management Automation

Compaction Strategy is a focused, no-fluff resource for the teams who keep Cassandra clusters healthy under load. Every guide is anchored in real operational constraints: I/O backpressure, repair cadence, tombstone lifecycles, gossip convergence, and the disk-headroom math that decides whether a strategy change is safe to ship.

The material is organized into two tracks. Architecture & Fundamentals covers the storage engine itself — LSM-tree mechanics, STCS vs LCS vs TWCS, token-ring distribution, gossip and failure detection, read-repair vs anti-entropy repair, and tombstone garbage collection. Tuning & Monitoring turns that theory into operations: backlog alerting thresholds, async compaction metrics, error categorization, read-path fallback routing, and Python pipelines that wrap nodetool and JMX safely.

Code samples are idempotent, bounded, and written for automation pipelines rather than one-off shells — exactly what you need to operate multi-datacenter clusters within strict SLA boundaries.