PGConf.Russia 2018

Lomonosov Moscow State University, Moscow, Russia

Talks
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PGConf.Russia 2018

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.

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54 talks
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Alex Lustin SilverBulleters, LLC
Docker, PostgreSQL, Production ....

I would like to share experience in runing PostgreSQL in dockerized environments, describe the specific issues and tools you will need to solve them.
- Which problems could be solved by Docker for PostgreSQL, e.g. PostgreSQLPro.9.6
- Work of IT team with Docker in development, testing and production environments
  - Using image repository and build servers for image testing
- Issues in production environment:
  - With network activity
  - With persistent repositories for Docker
  - With additional services
  - With load balancing and fail-safety
- Running PostgreSQL-base applications, such as:
  - SonarQube
  - Gitlab
  - 1С platform
Presentation materials
Дмитрий Шитов Centre of technical projects

How I Met Your Linux

What is a real cost of not paying for Windows for 1C-user? Is there life without COM? Addressing and other issues for the bunch of PostgreSQL. Scheduling disk resources. How to overcome OS CentOS crash.

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Максим Милютин Wildberries

Dmitry Ivanov PostgresPro

Vanilla and external partitioning in PostgreSQL

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Eren Basak Citus Data

Distributed Point-In-Time Recovery with Postgres

Postgres has a nice feature called Point-in-time Recovery (PITR) that would allow you to go back in time. In this talk, we will discuss what are the use-cases of PITR, how to prepare your database for PITR by setting good base backup and WAL shipping setups, with some examples. We will expand the discussion with how to achieve PITR if you have a distributed and sharded Postgres setup by mentioning challenges such as clock differences and ways to overcome them, such as two-phase commit and pg_create_restore_point.

Presentation materials