Производительность enterprise-систем часто упирается в кэширование. Но один только Redis — не всегда оптимально: сетевые вызовы вносят задержки, а локальные кэши не делятся данными между инстансами. Решение — связка in-memory и распределённого кэша.
📝 Промпт:
Generate a Spring Boot 3 configuration with multi-level caching (L1 + L2).
— Integrate Caffeine as in-memory (L1) cache for ultra-fast lookups. — Integrate Redis as distributed (L2) cache for cross-instance consistency. — Configure CacheManager that combines Caffeine (short-lived) and Redis (longer TTL) transparently. — Implement annotation-based caching with @Cacheable, @CachePut, and @CacheEvict. — Add fallback to DB if both caches miss, with metrics for hit/miss ratios. — Ensure proper serialization (Jackson or Kryo) for complex entities in Redis. — Provide cache invalidation strategies (per entity, per tenant, global).
💡 Расширения:
— Добавьте Near-cache pattern для высоконагруженных сервисов. — Интегрируйте с Spring Data Redis Streams для event-driven invalidation. — Настройте Prometheus + Grafana dashboards для мониторинга кэш-слоя.
Производительность enterprise-систем часто упирается в кэширование. Но один только Redis — не всегда оптимально: сетевые вызовы вносят задержки, а локальные кэши не делятся данными между инстансами. Решение — связка in-memory и распределённого кэша.
📝 Промпт:
Generate a Spring Boot 3 configuration with multi-level caching (L1 + L2).
— Integrate Caffeine as in-memory (L1) cache for ultra-fast lookups. — Integrate Redis as distributed (L2) cache for cross-instance consistency. — Configure CacheManager that combines Caffeine (short-lived) and Redis (longer TTL) transparently. — Implement annotation-based caching with @Cacheable, @CachePut, and @CacheEvict. — Add fallback to DB if both caches miss, with metrics for hit/miss ratios. — Ensure proper serialization (Jackson or Kryo) for complex entities in Redis. — Provide cache invalidation strategies (per entity, per tenant, global).
💡 Расширения:
— Добавьте Near-cache pattern для высоконагруженных сервисов. — Интегрируйте с Spring Data Redis Streams для event-driven invalidation. — Настройте Prometheus + Grafana dashboards для мониторинга кэш-слоя.
Among the requests, the Brazilian electoral Court wanted to know if they could obtain data on the origins of malicious content posted on the platform. According to the TSE, this would enable the authorities to track false content and identify the user responsible for publishing it in the first place. The visual aspect of channels is very critical. In fact, design is the first thing that a potential subscriber pays attention to, even though unconsciously. On June 7, Perekopsky met with Brazilian President Jair Bolsonaro, an avid user of the platform. According to the firm's VP, the main subject of the meeting was "freedom of expression." The group’s featured image is of a Pepe frog yelling, often referred to as the “REEEEEEE” meme. Pepe the Frog was created back in 2005 by Matt Furie and has since become an internet symbol for meme culture and “degen” culture. A Hong Kong protester with a petrol bomb. File photo: Dylan Hollingsworth/HKFP.
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