PgConf.Russia 2019

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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.

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63 talks
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Aleksander Sheludchenkov GK "Mitra"
Non-standard 1C cluster
- Migration of the standard 1C cluster to MPI environment - "machine to machine migration of services".
- PostgreSQL migration to GPU powered machine.
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Sergey Andreev Ortikon Group

What stops the transition on PostgreSQL and how to overcome it

Several real cases from those who stopped the migration to PostgreSQL.

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Teodor Sigaev PostgresPro

Forward to the past

Sometimes there is a great desire to return the database to the past, for a day or two or more days. The reasons are diverse, but most often one is to see what has changed. Or to see if the application behaved incorrectly after the update. Or it was just a command from the boss. The classic way everyone knows is to keep full backups and sets of WAL-logs to be able to recover to an arbitrary moment. This method is a real headache for DBAs/administrators, and it will not work quickly. Sure, there are some ways to optimize this process, but downtime is inevitable. PostgresPro offers a new way — database snapshots and the ability to return to them.

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Pavel Trukhanov okmeter.io

Postgres monitoring with USE and RED

Brendan 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.

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