PgConf.Russia 2016

In addition to providing a general purpose web platform, Heroku has a large, supporting Postgres service. Over the years, we've learned a lot about running Postgres at scale.
In this talk, we'll cover:

• why Postgres is attractive to run as a cloud service
• how to provision, manage, and monitor a Postgres fleet
• tradeoffs needed to make Postgres work in this environment
• automating failure recovery
• and more

In late 2006, the 1C company has implemented to work 1C:Enterprise platform with DBMS PostgreSQL, which can operate under the operating systems Windows or Linux. The talks will attempt to summarize the experience of sharing the platform 1C:Enterprise with PostgreSQL database since 2008. Consideration will be given a few success stories, technical features of the work are examples of specific tasks, offers advice on selecting and cons. The talk may be of interest to employees of companies considering the option of using PostgreSQL for the 1C:Enterprise, DBA, professionals interested in the possibility of extensibility PostgreSQL.

PostgreSQL includes several index types: GiST, SP-GiST, GIN, and of course, the regular B-tree. DBAs are familiar with using each of these for specific use cases, GIN for full-text search, GiST for geometrical data, and so on, but how do they work internally? What makes them suitable for the cases they're typically used for?

In this presentation, I will walk through the internal structure of each of these index types, explaining what strengths and weaknesses each one of them have.