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.
Bitcoin mining is the process of adding new transactions to the Bitcoin blockchain. It’s a tough job. People who choose to mine Bitcoin use a process called proof of work, deploying computers in a race to solve mathematical puzzles that verify transactions.To entice miners to keep racing to solve the puzzles and support the overall system, the Bitcoin code rewards miners with new Bitcoins. “This is how new coins are created” and new transactions are added to the blockchain, says Okoro.
Why Telegram?
Telegram has no known backdoors and, even though it is come in for criticism for using proprietary encryption methods instead of open-source ones, those have yet to be compromised. While no messaging app can guarantee a 100% impermeable defense against determined attackers, Telegram is vulnerabilities are few and either theoretical or based on spoof files fooling users into actively enabling an attack.
Библиотека джависта | Java Spring Maven Hibernate from no
