All about PostgreSQL Security

PostgreSQL provides different levels of security. This talk will cover all the available security techniques used in PostgreSQL 13. We’ll look at client-side security (LibPq, JDBC) through to server-side security. It will cover all supported authentication methods and the pros and cons of all these methods. Some of the key features of the talk are:

• Introduction to Cryptography
• SSL, TLS, GSSAPI, and OpenSSL
• Client-Side Encryption
• Securing Authentication
• Securing Data on the disk
• Securing Backup & Basebackup
• Securing Replication
• Database Roles and Privileges

It’s important to be familiar with all the security levels such as (1)network-level security (2) on-disk security (3) row-level, (4), and column level security. The talk will cover all the aspects with some real-life use cases and examples.

Modern DWH with open-source PostgreSQL

PostgreSQL has a long history in DWH. Netezza, Redshift, and Greenplum have turned specific PostgreSQL releases into DWH solutions. Nowadays, with the trends in PostgreSQL towards performance improvements (better partitioning, better statistics, JIT Compilation, etc.) and advanced PostgreSQL extensions, like the Swarm64 Data Accelerator, you can create a forward-looking, no lock-in, versatile, and reliable DWH. This talk will cover the PostgreSQL and DWH trends and touch on key arguments for choosing open source PostgreSQL for DWH.

Postgres Architectures in Production

When using PostgreSQL in production it is important to implement a strategy for High Availability. With a database service, the HA properties apply to both the service itself and of course to the data set.

In this talk we learn how to think about specific HA needs of your production environment and how to achieve your requirements with Open Source tooling when it comes to your database of choice, PostgreSQL. In particular, we dive in many options that could be implemented for Postgres to evolve its offering from being a toolset to being “batteries included”. What does it mean in the context of HA? How to achieve it?

Shardman - the native approach to sharding in PostgreSQL

The amount of data that is handled today by Enterprises and Web companies is constantly growing. At the same time, it becomes increasingly difficult to have and synchronize several copies of data in different systems. As a result there is a demand to work with large amounts of data directly in a transactional DBMS. This requirement is often imposed by the logic of applications that need real-time results. In this talk we will consider what a universal distributed transactional DBMS can be. We will analyze such aspects as the types of load and their prioritization, dynamic resource allocation and the level of consistency. What tools in PostgreSQL can be used to build such system, what we have already done and what is still missing.