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February 04 – 06 , 2019

PgConf.Russia 2019

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.
  • more than
    0 participants
  • 0 speakers
  • 0
    minutes of conversation
  • 63 talks
  • offline
    format

Talks

Talks archive

PgConf.Russia 2019
  • Aleksander Pavlov
    Aleksander Pavlov Modulbank

    As any ordinary software developers, we just pursued a goal to develop a system robust for high loads, and even succeeded. The system architecture was fine, but the data volume was keeping increased and revealed the painful issues and errors that nobody had expected. We faced very strange queries seemed to be unbelievable. In my short talk I would like to share sad experience of arised-from-nothing high loads in DBMS and solving the challenge.

  • Andrey Borodin
    Andrey Borodin Yandex

    This 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.

  • Aleksander Sheludchenkov
    Aleksander Sheludchenkov GK "Mitra"

    • Migration of the standard 1C cluster to MPI environment - "machine to machine migration of services".
    • PostgreSQL migration to GPU powered machine.

  • Lev Dragunov
    Lev Dragunov Juno

    DBMS 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.

All talks

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