Talks
Talks archive
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Anton Doroshkevich InfoSoftI have been working with 1C on PostgreSQL for 6 years, and the DBMS has changed significantly since I started. In this presentation, I'm going to cover the progress it has made. The users will, just as always, claim that this is not enough. So in addition to milestones and achievements, I'll tackle the possible feature requests from the maintenance viewpoint and explain some workarounds.
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Mikhail Rutman PostgresProTraditionally, 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.
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Aleksandr Cherkashin VTB (Servionika LLC)
Andrey Sevostyanov Servionika LLC.Facing the restrictions on the use of Western software, our bank has developed and put into commercial operation a reliable mechanism for data replication between two DBMSs. This mechanism allowed the bank's teams without any special restrictions to replace the product from Oracle (Oracle Golden Gate was previously used in the bank for a long time). In the presentation, we will talk about the main advantages of our software and the nuances of its use.
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Ivan Chuvashov SoftSwissAs you probably know, PostgreSQL has a number of distinct features compared to other DBMSs. For example, Postgres can process and store many different types of data. However, you need to know something about them before using them. In this talk, we will find the reason why queries to the table begin to slow down (and autovacuum / vacuum has nothing to do with it) and try to speed up such queries. I will tell you how integer data types work in PostgreSQL and touch on the topic of speeding up such queries. And finally, let's talk about how to make your data in tables take up less space while increasing the speed of queries to this data.
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