Understand Cassandra consistency levels, replication choices, and availability trade-offs from a Clojure application boundary.
This section bridges the chapter overview and the detailed lessons below. For Java engineers, the practical question is how to handle Cassandra consistency and availability decisions in Clojure code at the database boundary.
| Review focus | What to check |
|---|---|
| Consistency level | Match read/write guarantees to the user-visible risk. |
| Replication | Know what failure the cluster can survive before the Clojure service retries. |
| Application boundary | Keep timeout, retry, and fallback decisions explicit in Clojure code. |
Use the child lessons to move from concept to implementation. The section goal is to make the trade-off visible before the code hardens around a database assumption.