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February 03 – 05 , 2016

PgConf.Russia 2016

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Talks

Talks archive

PgConf.Russia 2016
  • Andreas Scherbaum
    Andreas Scherbaum Pivotal Ltd

    Greenplum is a PostgreSQL fork, optimized for Analytics and Data Warehouse use cases. Pivotal announced in early 2015 that a number of products will go Open Source, one of them is Greenplum Database. This talk provides an overview over the history of Greenplum, the entire process of bringing the product into Open Source, all the stumbling blocks we ran into, and explains how contributors can participate.

  • 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

  • Michael  Paquier
    Michael Paquier

    A backup is something that no Postgres deployments should go without as it gives the insurance to get back a deployment on its feet should a disaster strike.

    In this talk we will discuss why backups are essential in any sane PostgreSQL deployments (this seems obvious) and what are the different options available to define and set up a good backup strategy. On top of that is discussed how the future of backups would need to be handled, particularly regarding differential backups that gain in popularity among users with large deployments.

  • Marco Slot
    Marco Slot Citus Data

    CitusDB is an extension for PostgreSQL that can distribute tables across a cluster of PostgreSQL servers. Data is stored in shards that can use append-partitioning for bulk-loading of time series data or hash-partitioning for real-time data ingestion. SELECT queries on distributed tables are transparently parallelised across the cluster, using all available cores. Distributed tables can also be joined in parallel, even if they are not partitioned along the same column. CitusDB is especially suitable for real-time analytics use-cases such as dashboards which require fast analytical queries over live data, and can simultaneously act as a scalable operational database. This talk will describe the internals of CitusDB and give a live demo of a large-scale CitusDB cluster.

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