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Caching is one of the most effective techniques for improving the performance of modern Spring applications. Especially in microservice architectures or high-traffic APIs, a well-c...
Один аналитический запрос способен испортить p99 latency всего OLTP-трафика — на время, пока горячий рабочий набор не прогреется заново с диска. Это cache pollution, и с ним рано и...
The key-value (KV) cache is a fundamental optimization in transformer-based LLM inference. It stores intermediate attention states, i.e., keys and values computed during the prefil...
Here’s a number that should bother you: before PagedAttention, LLM serving systems were wasting 60–80% of their allocated KV cache memor…Continue reading on Medium »
Originally appeared on Saeloun Blog.Caching in Rails has traditionally meant choosing between Redis or Memcached. Both are fast but expensive when we need large caches. Memory cost...
Theory, variants, and where it breaks — from the 1997 Karger et al. paper to virtual nodes in DynamoDB, Cassandra, and Redis Cluster. 1. Why Modular Hashing Fails at Scale Before c...
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