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February 03 – 05 , 2020

PgConf.Russia 2020

PgConf.Russia 2020

PGConf.Russia is a leading Russian PostgreSQL international conference, annually taking together more than 700 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
  • 62 talks
  • offline
    format

Talks

Talks archive

PgConf.Russia 2020
  • Daria Vilkova
    Daria Vilkova PostgresPro
    Vadim Ipatov
    Vadim Ipatov Zabbix SIA

    In Zabbix-server 4.4, a new Zabbix-agent has become available. It is written in Golang, has a plug-in structure, keeps a permanent connection and makes it possible to control metrics in runtime. We will make an overview of the Zabbix-agent 2 and talk about how to develop plugins for it, in particular, the PostgreSQL monitoring plugin developed by Postgres Professional in collaboration with Zabbix.

  • Bruce Momjian
    Bruce Momjian EnterpriseDB

    Postgres has always had strong support for relational storage. However, there are many cases where relational storage is either inefficient or overly restrictive. This talk shows the many ways that Postgres has expanded to support non-relational storage, specifically the ability to store and index multiple values, even unrelated ones, in a single database field. Such storage allows for greater efficiency and access simplicity, and can also avoid the negatives of entity-attribute-value (eav) storage. The talk will cover many examples of multiple-value-per-field storage, including arrays, range types, geometry, full text search, xml, json, and records.

  • Bruce Momjian
    Bruce Momjian EnterpriseDB

    Locking is critical for providing high concurrency for any database — you cannot fully utilize your hardware if locking is throttling its use. This talk explores all aspects of locking in Postgres by showing queries and their locks; covered lock types include row, table, shared, exclusive, and advisory lock types. The high concurrency provided by Multiversion Concurrency Control (MVCC) is also covered.

    Slides are at https://momjian.us/main/writings/pgsql/locking.pdf

  • Álvaro Hernández
    Álvaro Hernández OnGres

    An enterprise-grade PostgreSQL requires many complementary technologies to the database core: high availability and automated failover, monitoring and alerting, centralized logging, connection pooling, etc. That is, a stack of components around PostgreSQL. Kubernetes has enabled a new model to deploy software abstracting away the infrastructure. However, containers are not lightweight VMs, and the packing of software paradigms that work on VMs are not valid on containers/Kubernetes. How should be PostgreSQL and its stack be deployed on Kubernetes? Enter StackGres. An open source software that is the result of re-engineering PostgreSQL to become cloud native. Join this talk to learn and see demos of how to generate PostgreSQL minimal containers; how the sidecar pattern is used (abused) to integrate PostgreSQL’s stack components, and how the networking and storage are handled. More info: stackgres.io.

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