Нужно быстро подключить Redis для кеширования, блокировок, хранения состояний или очередей задач — без лишней возни с конфигами и шаблонами? AI сгенерирует код под ключ — учитывая назначение, паттерны и лучшие практики.
📝 Промпт:
Generate a Spring Boot service that integrates with Redis to handle [caching / rate limiting / distributed locks / task queues] for [описание бизнес-логики]. Include configuration, connection pooling, and example use cases. Ensure reliability with TTL management, error handling, and fallback mechanisms. Use Spring Data Redis or Lettuce/Jedis client. Explain the trade-offs of chosen technologies and patterns (e.g., Cache Aside, Write-Through).
💡 Дополнительные возможности:
— Добавьте also include support for Redis Streams (or Pub/Sub) for event-driven processing with examples для включения Redis Streams или Pub/Sub. — Добавьте use Lua scripts for atomic operations and provide sample use cases (e.g., rate limiting or locking) для Lua-скриптов. — Добавьте integrate Spring Boot Actuator and Redis metrics for monitoring cache performance (hit/miss, TTL, etc.) для мониторинга кеша и статистики.
Нужно быстро подключить Redis для кеширования, блокировок, хранения состояний или очередей задач — без лишней возни с конфигами и шаблонами? AI сгенерирует код под ключ — учитывая назначение, паттерны и лучшие практики.
📝 Промпт:
Generate a Spring Boot service that integrates with Redis to handle [caching / rate limiting / distributed locks / task queues] for [описание бизнес-логики]. Include configuration, connection pooling, and example use cases. Ensure reliability with TTL management, error handling, and fallback mechanisms. Use Spring Data Redis or Lettuce/Jedis client. Explain the trade-offs of chosen technologies and patterns (e.g., Cache Aside, Write-Through).
💡 Дополнительные возможности:
— Добавьте also include support for Redis Streams (or Pub/Sub) for event-driven processing with examples для включения Redis Streams или Pub/Sub. — Добавьте use Lua scripts for atomic operations and provide sample use cases (e.g., rate limiting or locking) для Lua-скриптов. — Добавьте integrate Spring Boot Actuator and Redis metrics for monitoring cache performance (hit/miss, TTL, etc.) для мониторинга кеша и статистики.
A leaked Telegram discussion by 50 so-called crypto influencers has exposed the extraordinary steps they take in order to profit on the back off unsuspecting defi investors. According to a leaked screenshot of the chat, an elaborate plan to defraud defi investors using the worthless “$Few” tokens had been hatched. $Few tokens would be airdropped to some of the influencers who in turn promoted these to unsuspecting followers on Twitter.
The messaging service and social-media platform owes creditors roughly $700 million by the end of April, according to people briefed on the company’s plans and loan documents viewed by The Wall Street Journal. At the same time, Telegram Group Inc. must cover rising equipment and bandwidth expenses because of its rapid growth, despite going years without attempting to generate revenue.
Библиотека джависта | Java Spring Maven Hibernate from ms
