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If you’ve ever watched a high-traffic Java service crawl under database load, you’ve already felt the problem that distributed caching solves. NCache is an in-memory, distributed c...
High-volume REST APIs can easily become bottlenecked by database access, leading to high latency and poor throughput. Even after optimizing SQL queries and adding indexes, a databa...
Redis Sentinel, Hazelcast, and Infinispan all have split-brain documentation. None of them tell you what your Java code silently observes when it happens. Let’s fix that. A split-b...
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...
Every time a user taps a button, loads a feed, or runs a search, their request travels across a network to a server, which in turn queries databases, calls downstream services, and...
Significant contributors to this article include Sneha Aradhey, Software Engineer, Google Kubernetes Engine, and Michael MacDonald, Sr Software Engineer, Google Cloud Managed Lustr...
Distributed coordination services exist for a reason, and they are the CPUs of distributed systems that give them their high availability. When it's in your stack, you assume failo...
Today, we’re announcing the Remote Query Cache Plugin for the AWS Advanced JDBC Wrapper. The plugin handles query caching automatically. It intercepts JDBC queries, caches results...
Back in 2021 Facebook open-sourced CacheLib as a new caching engine. Back in 2021 it was done to help scale services with non-volatile memory caching to offset increasing DRAM cost...
Every cache miss is a small but persistent cost on your system. Individually, a single miss may seem insignificant. At scale — thousands or millions of requests — these misses accu...
In this post, we share how Securonix migrated hundreds of Amazon ElastiCache clusters from Redis OSS to Valkey, achieving a 20% reduction in caching costs. This amounts to over $10...
With active caching, inventory updates complete more quickly and efficiently, so that they can accurately reflect availability across locations in real time.
Пример реализации простого кэширующего прокси для пакетов npm, composer и pip на базе node.js для Windows и Linux. Читать далее
In this article, I will discuss a highly available solution developed using Spring Boot 3 and Spring Security 6 to address the "centralized authentication method" problem frequentl...
It was a Tuesday afternoon when I realized my FastAPI app was choking.Continue reading on Medium »
Every time your app asks the server for data it already has, you’re wasting your user’s battery, their data plan, and their time — and…Continue reading on Medium »
Кэш режет цену входных токенов в десять раз и держит юнит-экономику агентов, но ломается без единой ошибки в логах. Что на самом деле кэшируется, чем отличаются OpenAI, Anthropic и...
Next.js 16 Caching helps improve application performance by reducing unnecessary rendering, data fetching, and network requests. Instead of generating the same content repeatedly,...
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