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February 03 – 05 , 2016

PgConf.Russia 2016

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Talks

Talks archive

PgConf.Russia 2016
  • Oleg Ivanov
    Oleg Ivanov PostgresPro

    In the speech we consider the current PostgreSQL planner model, then the possibilities of applying machine learning methods for planner improvement and the obtained results.

  • Galy  Lee
    Galy Lee

    Recent Update about Postgres Adoption in China. Postgres is getting its momentum in China, especially in 2015, one of the biggest insurance company is adopting Postgres, and Alibaba is providing Postgres service in their public cloud, also there are a lot of significant progress about the adoption. This talk will give an overview about the Postgres adoption in 2015 in China.

  • Peter  van Hardenberg
    Peter van Hardenberg Heroku

    Heroku Postgres is a cloud database service and the largest provider of PostgreSQL as a service anywhere. We operate more than 1,000,000 PostgreSQL databases with a team of about 10 people. We may be the most efficient DBAs in history, with approximately 100,000 databases per person on our team! This talk will introduce the opportunity and challenges of building and operating a cloud database service, as well as discussing the strategies we use to build, operate, and scale this product and team for the last six years now. We will include details about * a brief introduction to the service to provide context * strategies to design and build such a data service * operational war stories like how to recover from losing thousands of servers at once, * common challenges users have with Postgres * and a basic overview of the technical architecture

    This is a complementary talk to Will Leinweber's talk, which will go into much more depth on the architecture of the software we have written.

  • 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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