PGConf.Russia 2018

Patroni is a Python application to create high-availability PostgreSQL clusters based on the streaming replication. It is used by Red Hat, IBM Compose, Zalando and many other companies. This tutorial will highlight Patroni architecture, provide attendees with hands-on experience of configuring high-availability PostgreSQL clusters with Patroni, describe how to take advantage of numerous additional features and give an opportunity to learn more about common mistakes related to running Patroni and its troubleshooting.

In order to take most out of the Patroni tutorial one needs a laptop with git, vagrant and virtual box installed.

Vagrant can be obtained from https://www.vagrantup.com Virtualbox is at https://www.vagrantup.com

Alternatively, one can install your Linux distribution packages (or use homebrew on Mac).

Once Vagrant and Virtualbox are installed one can run the Patroni VM by issuing the following commands:

$ git clone https://github.com/alexeyklyukin/patroni-training
$ cd patroni-training
$ vagrant up

When the setup concludes Patroni box can be accessed via ssh using vagrant ssh command.

A database is one of the key components in any information system, requiring the monitoring of multiple metrics. The talk highlights examples and approaches of monitoring and analysis of PostgreSQL performance that allow to minimize the load on the database server from the monitoring and data collection system for the subsequent analysis of problem situations.

• Quantum effects or as an observer affect the observed system
• Features of collecting metrics while monitoring the database with Zabbix
• Data collection for analytics and visualization PostgreSQL queries with rsyslog + kafka + clickhouse + grafana
• Operational Analysis Tools for DB loglile

MQTT is an effective data exchange protocol for IOT devices. Based on own modified EMQTT plug-in, the IoT project architecture uses PostgreSQL as a central processing and storing system for data coming from sensors in real time. The report will provide an example of the IoT hardware and software platform solution, based up on the MQTT protocol, where PostgreSQL is responsible for key functionality, providing processing, collecting and storage of data from a distributed network of IoT devices.

DBeaver is the Universal Databases Manager. We creating DBeaver using Open Source Software model. We pay special attention to the PotgreSQL because of its capabilities, popularity and OSS nature. We will talk about DBeaver evolution and structure, will demonstrate the basic functionality. We are going to cover challenges of PostgreSQL client creation. Also we will discuss requirements management model and interaction with the PostgreSQL community. We will show in details how to debug the PL/pgSQL stored procedures interactively. We are going to introduce some new features of the nearest DBeaver release and to share our plans.