PgConf.Russia 2020

At the master class, we will learn how to execute fast load tests of Postgres databases: optimizing database configurations, data structure, indexes, OS settings, etc. To do this, we will create a code, build the infrastructure for the test from it and will do the test. As a result, we get a flexible tool in the code to which you can attach any monitoring, and for which you don't have to pay a lot of money, because the environment is created in 7 minutes in an empty AWS account and destroyed after test

I would like to present the main projects for the evolution of our database, how we execute the administration, the problems and pitfalls we found, and how we solve them,the number and how are the database clusters from Gitlab.com , and what is our planning for the future, sharding, kubernetes... Our environment is in an exponential growth, with millions of users and thousands of requests per second, and we keep our platform stable and scaling. Join our session and discover our how we are doing it!

Role-based access control (RBAC) is one of the main mechanisms used for access control in many DBMS, including PostgreSQL. This model is a sub-type of traditional discretionary access control with its restrictions. In addition to DAC, many operating systems also use mandatory access control (MAC) based on security labels. This additional security mechanism is obligatory for protecting information that demands higher levels of security. Naturally, we would like to use MAC within DBMS when working in OS with mandatory access control switched on.
In this talk, we'll give an overview of existing MAC implementations in DBMS, as well as share our approach to using security mechanisms provided by SELinux, the sepgsql extension for PostgreSQL, and the standard mechanism of row-level security (RLS), which has been available in PostgreSQL starting from version 9.5.
In our presentation, we will use the "Airlines" demo database provided by the Postgres Professional company to show how to protect sensitive information and personal data, compare different ways of storing security labels, and assess performance of our solution.

This talk discusses the open source components we use at Adjust to manage a massive number (5+PB) of application log messages on PostgreSQL in a massively multi-parallel way. It provides both a use case for PostgreSQL in a big data (high volume/velocity/variety) environment, and can be used to show the power of PostgreSQL with JSONB, GIN, and more.

This talk covers the capabilities of the components in depth, sufficient to inspire similar solutions.