Several production cases during one night
We maintain large PostgreSQL databases with the total data volume exceeding 180 TB. Every instance in the cluster gets a workload of 15 thousand requests per second. These circumstances certainly impose limitations on the classical approach to updating database structures. The cost of a DBA error gets higher, as even a small error can lead to a sleepless night) In my talk, I will cover our existing limitations for changes in the production environment, non-classical DBMS behavior under heavy workloads, and will discuss PostgreSQL in general.
Слайды
Чувашов Иван - Неожиданности PostgreSQL, которые украдут вашу ночь.pptxВидео
Видео доступно участникам мероприятия, выполнившим вход в личный кабинет
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