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Databases & messaging · #cassandra
Learn how Cassandra Lightweight Transactions provide compare‑and‑set semantics, see a concrete cqlsh example, and understand when their extra latency is worth the guarantee.
A concise guide to when and how to use Cassandra Lightweight Transactions, covering the minimal CQL pattern, trust assumptions, operational metrics, failure modes, and signs that the design should be revisited.
Learn how to move Jaeger trace storage from in‑memory to Cassandra or Elasticsearch by updating only the collector configuration, keeping your instrumented services unchanged.
Compaction strategy is a data-lifecycle decision, not a tuning knob. How TWCS windows work for time-series, where out-of-order writes break them, and how to verify.
Learn how Cassandra's Lightweight Transactions provide linearizable compare‑and‑set guarantees, when to use them, and what trade‑offs to watch.
Cassandra Lightweight Transactions give linearizable compare‑and‑set semantics for unique writes like username reservation, at the cost of higher latency; see how to use, verify, and limit them.
Learn how Cassandra’s built‑in TTL feature can automatically expire data, why it creates tombstones, and how to monitor and tune it to avoid performance surprises.
Learn how to choose between SizeTiered and Leveled compaction in Cassandra for write‑heavy tables, with a concrete example of switching strategies and verification steps.
Learn how to use Apache Cassandra's Lightweight Transactions (LWT) and the Paxos protocol to prevent race conditions and ensure linearizability for critical writes.
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