PGConf.SPB 2023

A story about practical approaches and tools for automating migration using 2 examples: a database with a structure change in the new version and a database with a significant content of the application's business logic.

Backup is still a stumbling block when migrating to PostgreSQL from other DBMSs. Its size directly depends on your experience and knowledge about the types of backups in PostgreSQL. In this talk, I will tell you about different types of backups, their pros and cons, and scenarios for using each type.

Traditionally, fault tolerance in Postgres is implemented using built-in replication mechanisms and external utilities that monitor the state of running Postgres instances and react accordingly when various failures occur. In this presentation, I will tell you what we like and what we don’t like about this approach, which alternative we see, what we have been able to achieve to date and what we want to get done by the time of release, which is planned for December.

In modern data analysis, machine learning models are used as often as databases. Such IT giants as Google and Amazon have already combined them. Microsoft and Yandex are not far behind. Isn't it time to implement a machine learning model in PostgreSQL? In the report you will hear about the basics of machine learning, its implementation in databases and an example of realization as postres extension.