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.
At a time when the Indian stock market is peaking and has rallied immensely compared to global markets, there are companies that have not performed in the last 10 years. These are definitely a minor portion of the market considering there are hundreds of stocks that have turned multibagger since 2020. What went wrong with these stocks? Reasons vary from corporate governance, sectoral weakness, company specific and so on. But the more important question is, are these stocks worth buying?
That growth environment will include rising inflation and interest rates. Those upward shifts naturally accompany healthy growth periods as the demand for resources, products and services rise. Importantly, the Federal Reserve has laid out the rationale for not interfering with that natural growth transition.It's not exactly a fad, but there is a widespread willingness to pay up for a growth story. Classic fundamental analysis takes a back seat. Even negative earnings are ignored. In fact, positive earnings seem to be a limiting measure, producing the question, "Is that all you've got?" The preference is a vision of untold riches when the exciting story plays out as expected.
Библиотека джависта | Java Spring Maven Hibernate from ca
