PgConf.Russia 2019
PGConf.Russia is a leading Russian PostgreSQL international conference, annually taking together more than 500 PostgreSQL professionals from Russia and other countries — core and software developers, DBAs and IT-managers. The 3-day program includes training workshops presented by leading PostgreSQL experts, more than 40 talks, panel discussions and a lightning talk session.
Thems
- PostgreSQL at the cutting edge of technology: big data, internet of things, blockchain
- New features in PostgreSQL and around: PostgreSQL ecosystem development
- PostgreSQL in business software applications: system architecture, migration issues and operating experience
- Integration of PostgreSQL to 1C, GIS and other software application systems.
Talks
Talks archive
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Ivan Frolkov PostgresProSoftware applications working on PostgreSQL is a very typical case in my practice. Some of them manage to work well, some of them do not. In the talk I will focus on errors and problems of the last ones.
Gallery
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Artem Ivanov Atos IT S&S
Alexey Ignatov PostgresProTo migrate to a PostgreSQL/Postgres Pro we need multi-core servers to be carefully tuned for correct parallelism. What settings make multi-terabyte installations work fast and correctly?
We will share our PostgreSQL/Postgres Pro on BullSequana S and Bullion S servers testing experience.
- The features of this hardware platform which are crucial for high-loaded configurations
- Multi-core Scale-up servers and PostgreSQL/Postgres Pro
- Results of stress testing of PostgreSQL/Postgres Pro running on the equipment.
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Oleg Bartunov PostgresProThe famous Russian PostgreSQL developer Oleg Bartunov will open the conference with his report on how and why PostgreSQL has turned from an open source university project into modern industrial grade database.
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Pavel Trukhanov okmeter.ioBrendan Gregg’s USE (Utilization, Saturation, Errors) method for monitoring is quite known. There’s also Tom Wilkie’s RED (Rate, Errors, Durations) method, which is suggested to be better suited to monitor services than USE. I want to talk about how we employ these methodologies when we develop our Postgres monitoring in okmeter.io.
Photos
Photo archive