title

text

March 15 – 17 , 2017

Postrelease

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

Talks

Talks archive

PgConf.Russia 2017
  • Andrei Nikolayenko
    Andrei Nikolayenko IBS
    Alexander Korotkov
    Alexander Korotkov PostgresPro
    Борис Нейман
    Борис Нейман Mellanox
  • Vadim Yatsenko
    Vadim Yatsenko Progress Soft

    The talk will describe how we have implemented storage of large tables (+1 billion rows per day). The project exists in production 2 years. The total amount of data - 300 Tb (25 PostgreSQL servers * 2 Data Center). I'll tell about mistakes in organization of large tables storage in the initial phase of the project, and how these mistakes were corrected. I'll also talk about how to organize the data rotation and archiving. I voiced questions about what we were missing in PostgreSQL 9.4 out of what appeared in the 9.5 and 9.6. And also, what new features we are waiting for new releases of PostgreSQL.

  • Jean-Paul Argudo
    Jean-Paul Argudo Dalibo

    Dalibo team produces open source tools for PostgreSQL among other things for many years now (see http://dalibo.github.io/).

    This time I'll present temBoard, a new tool to remotely control PostgreSQL databases. The project is visible at https://github.com/dalibo/temboard

    It's about monitoring, supervision, remote settings and actions... and many more features to come. The main goal is to provide a comprehensive console for PostgreSQL. It's needed by production DBAs, to daily achieve their tasks. We heard Dalibo's customers, as many of them wrote the specs :-)

  • Nicholas Sivko
    Nicholas Sivko okmeter.io

    It often happens that you already have PosgtreSQL in production, but you don’t have a DBA. To demystify the PostgreSQL database, I’ll tell you how to troubleshoot various problems while working with PosgtreSQL. We will try to understand how to answer "routine" questions of a typical system administrator: - Is everything OK with the database? - What consumes DB server resources? - What to optimize first to reduce resource consumption?

    VIDEO

All talks