PGConf.Russia 2021

In OZON, we work on PostgreSQL as a service. Currently, we have thousands of clusters. We know about the important questions software developers ask, and the most crucial ones are as follows: how to understand the database's workload and why this query is getting slow? In this presentation, I will explain how we help our developers answer these questions by simply having a look at our dashboard.

Throughout the release cycle of version 14, I had the opportunity to describe the accepted patches in articles dedicated to each of the five release commitfests. The first two articles on Postgres 15 also have some remarks on PostgreSQL 14. If you have read them, you can skip my presentation :-)). On September 30, 2021, PostgreSQL 14 was officially released. Nothing will change in this major release, so it's the right time for a final overview. However, presenting each and every new feature in a 45-min. talk isn't possible. That's why I will be sharing with you my personal top of version 14 innovations.

When working with PostgreSQL, we regularly encounter queries that take suspiciously long to be executed. What if it's too late to enable statistics or auto explain, and cancellation of the query doesn't look sensible, but you still need to find out what caused the issue or see at what stage execution the query is? pg_query_state is an open source PostgreSQL extension, which can give you access to the query execution plan in real time. It also makes available statistics for each node, including the number of processed rows.

TimescaleDB extension allows to turn good old Postgres into a real distributed cluster for storing time series data while maintaining the relational model, convenient SQL and a time-tested ecosystem. And additional features such as continuous materialized views and data compression allow to build truly powerful telematic hubs.