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February 03 – 05 , 2016

PgConf.Russia 2016

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  • 60 talks
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Talks

Talks archive

PgConf.Russia 2016
  • Alexander Krizhanovsky
    Alexander Krizhanovsky NatSys Lab

    We'll discuss how does Linux work with virtual memory. The following topics will be covered: * x86-64 page table, context switch and page fault; * internals of virtual memory management (VMM) in Linux; * page eviction methods in Linux, page cache and anonymous pages; * huge and gigantic pages, transparent huge pages; * how mmap(2) works and what madvise(2), msync(2) etc. provide; * why large databases don't use mmap(2), but rather implement buffer pool on their own; * ans surely how to tune Linux VMM using sysctl.

  • Марат Фаттахов
    Марат Фаттахов BARS group
    Dmitry Boikov
    Dmitry Boikov BARS group

    First working on Oracle, we could not ignore appearance and growth of PostgreSQL. I will describe how we came to PostgreSQL and share some experience of migrating a large medical system.

    • developing a code converter;
    • packages migration;
    • our patches solving some of the migration problems.

  • Magnus  Hagander
    Magnus Hagander PostgreSQL Global Development Group

    Unlike most other databases, PostgreSQL is developed by a community, and not by a company or even a foundation. Those who have been members of this community for a long time generally consider this a strength, but it can often be confusing to outsiders who are more used to dealing with traditional organization. For those who are not already on the inside, this talk will give an introduction to how the PostgreSQL community works and how the different parties interact, as well as how this has evolved over the years.

  • Will Leinweber
    Will Leinweber Heroku

    In addition to providing a general purpose web platform, Heroku has a large, supporting Postgres service. Over the years, we've learned a lot about running Postgres at scale.
    In this talk, we'll cover:

    • why Postgres is attractive to run as a cloud service
    • how to provision, manage, and monitor a Postgres fleet
    • tradeoffs needed to make Postgres work in this environment
    • automating failure recovery
    • and more

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