PGConf.Russia 2023

I will talk about the common mistakes when setting up a Corosync-Pacemaker failover cluster. Often these mistakes lead to fatal consequences, and, as a result, to the rejection of the chosen solution in favor of others. Would you like to get a recipe for the "right" cluster?

PostgreSQL backup process in one of the biggest issues you face after switching to PostgreSQL. PostgreSQL has two out-of-the box options for backup and restore, they are dump/restore and pg_basebackup. Both of them have their nuances and peculiarities radically distinguish the backup and recovery system from MS SQL. Another option in the PostgreSQL ecosystem is the pg_probackup utility which is being actively developed and has a number of backup and restore variants offering different features. Each of these options maybe good or not so good for a particular scenario. In this talk, I'd like to cover the nuances, peculiarities and best practices for large databases, hundreds of midsize databases and small database setups.

I will share the experience of migration project of an information system from a Microsoft SQL Server DBMS to Postgres PRO. The owner of the DBMS is Rosagroleasing JSC.

The volume of the DBMS database is about 6 TB (more than 300 tables, up to 4 billion records in each). The team adapted 15 ETL packages and 131 procedures with full functionality and also partial refactoring of the source code. Systems' performance has remained the same.

With the rise of NoSQL databases, a number of falsehoods have flourished regarding how to choose a database engine. This talk focuses specifically on Redis and PostgreSQL, and why one might choose one or the other.

At small scales, we can often get by thinking of database servers as black boxes, but as we scale, the internals and architecture become more and more important. This talk focuses on behavior of these systems at scale and under load.

In this presentation you will learn:

• How Redis and PostgreSQL differ architecturally
• How differences in architecture affect scalability and performance
• Cases here Redis is the clear winner
• Cases where PostgreSQL is the clear winner

Additionally, some notes will be offered in terms of where PostgreSQL can improve in to compete with the sorts of workloads that generally favor Redis.