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El sistema de bloqueos funciona de tal manera que cuando un usuario bloquea a otro, el backend escribe esa relación en PostgreSQL y la publica como evento a Kafka. Kafka distribuye ese evento a todos los microservicios en paralelo, y cada uno lo consume de forma independiente: el de mensajería filtra mensajes, el de notificaciones suprime los push notifications antes de llegar a Apple o Google, y el de perfil devuelve 404. #programacion #software #backend #instagram #fyp
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كيصرالها Lucky Patcher? 🤔 #dz #medx_info #coding #developer #backend #برمجة #برمجة #luckypatcher #hacker #لوكي_باتشر #ألعاب_تعليمية #تعليمي #algeria🇩🇿 #devcommunity
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Дашборд тормозит 5 секунд на каждой загрузке из-за тяжёлой агрегации? В Postgres это чинится одной командой — без Redis. VIEW не спасёт: это просто сохранённый текст запроса, агрегация гоняется заново каждый раз. А MATERIALIZED VIEW хранит готовый результат на диске — любой SELECT отдаёт его за ~50 мс вместо 5 секунд. В 100 раз быстрее. Нюанс: сам не обновляется — нужен REFRESH (обычно по расписанию). Зато, в отличие от Redis, его можно индексировать, фильтровать в SELECT и джойнить как обычную
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Your reads and your writes want completely opposite things. CQRS stops them from fighting. 👇 Most apps use one model for everything. But writes and reads pull in different directions. Writes want a clean, normalized schema, split across many tables so nothing is duplicated and updates stay consistent. Reads want the opposite: everything pre-joined and denormalized so a query is a single fast lookup. Force them to share one model on one database and they contend for the same rows and locks, and
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