PgConf.Russia 2019

You just set up your first PostgreSQL cluster, created a database schema, loaded some data, did some fine tuning of configuration. Now you want to make your cluster highly available. Unfortunately, PostgreSQL doesn't offer built-in automatic failover, but luckily for us, there are plenty of external tools for that. As a next logical step you start choosing a tool, and... you already doing it wrong, because first you have to define SLA, RTO, and RPO. In this talk I am going to cover most of the common mistakes people do when setting up a highly available cluster.

At pgconf’17 I talked about our analytics systems based on PostgreSQL. Afterwards we looked at hadoop, s3, presto, vertica, and other frights. Finally we stopped to suffer nonsense and just completed PostgreSQL with ready Greenplum and Clickhouse. As a result, we achieved amazing performance, fast migration, easy maintenance, reliability and horizontal scalability. We enabled to recover the system after fault in two commands, decreased infrastructure costs and expanded functionality due to ANSI SQL, MPP and In-memory. All within the open-source and full SQL paradigm. We called the product GreenHouseSQL, which is our inner whole cycle data platform. In the talk we will show the beauty of solution internals, explain the advantages and flaws, tips and tricks of starting with Greenplum, as well as why do we need Clickhouse, what is left to PostgreSQL, and eventually how does it all work.

To migrate to a PostgreSQL/Postgres Pro we need multi-core servers to be carefully tuned for correct parallelism. What settings make multi-terabyte installations work fast and correctly?

We will share our PostgreSQL/Postgres Pro on BullSequana S and Bullion S servers testing experience.

The features of this hardware platform which are crucial for high-loaded configurations
• Multi-core Scale-up servers and PostgreSQL/Postgres Pro
• Results of stress testing of PostgreSQL/Postgres Pro running on the equipment.

PostgreSQL + PostGIS + TimescaleDB is a ready-to-use symbiosis from a reliable RDBMS, a powerful set of geographical objects and calculations, and work with time-series data. This bundle perfectly solves the problem of storing telemetry, while leaving the whole PostgreSQL ecosystem in your hands.