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By default Docker limits neither the CPU nor the RAM of a container: a single one can exhaust the whole server. In Compose you bound them with deploy.resources.limits (cpus, memory) or the mem_limit and cpus shortcuts, and you control logs with the local driver, which rotates at 20 MB and 5 files by default.
Four and a half years after Rust officially entered Linux 6.1, with real Apple GPU and NVMe drivers in production and several public conflicts between maintainers, it is time for a sober technical balance. What works, what still costs, and where the next phase is heading.
Dragonfly is a Redis-protocol-compatible cache built on a multithreaded shared-nothing design with one thread per data shard, so an eight-core node uses all eight cores where Redis uses one. Its fork-free snapshot algorithm keeps latency flat while persisting. Ordinary clients work fine; modules like RedisSearch and RedisJSON are where compatibility frays.
Redis alone isn't a caching strategy, just an ingredient: picking the right pattern among cache-aside, read-through, write-through, and write-behind, sizing TTL to how fast data actually changes, invalidating explicitly for critical data, and mitigating thundering herd with jitter and locking are the decisions that actually matter in production.
