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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Lev Dragunov JunoDBMS inside container is a nightmare for DBA. I will describe how we use containerized Postgres in Juno. What problems we faced with and how did we solve them.
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Pavel Luzanov PostgresProThe first training course "DBA1. PostgreSQL Administration. Basic Course" was introduced by Postgres Professional in September 2015. The course was based on the then up-to-date version of PostgreSQL 9.4. A set of new courses has been introduced since then. In turn, the PostgreSQL database didn't stand still either.
The report will present the current line of courses for administrators and application developers. We will also show the roadmap for the near future, which includes specialist certification.
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Andrey Borodin YandexThis talk will contain 3 parts: 1. Express PITR setup to the Cloud 2. Latest advancements in WAL-G for backups 3. Why you may need or should avoid this new features, depending on your specifications and workload.
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Nikolay Samokhvalov Nombox LLCShared_buffers = 25% – is it too much or not enough? Or it's the right value?
How can we ensure that this – pretty much outdated – recommendation suit well our needs?
It is time to start apply enterprise-level approach to tuning postgresql.conf. Not using various blind auto-tuners or advices from old articles and blog posts, but based on the following two aspects:
- comprehensive database experiments, conducted in automated fashion, repeated multiple times in conditions as close to production as possible, and
- deep understanding of DBMS and OS internals.
Using Nancy CLI (https://gitlab.com/postgres.ai/nancy) we will consider a concrete example: infamous shared_buffers, under various circumstances, in various projects. We will try to figure out, how to optimize this settings for given infrastructure, database, and workload.
Photos
Photo archive