NORM - No ORM Framework

It's a well-known fact, that although the database performance is great, and each query is executed in milliseconds, the overall application response time may be slow, making the users wait for a response for an extended period of time. We know that the problem is not the database, but the way the application developers communicate with the database. Specifically, we are talking about ORMs - Object-Relational Mappers. Database developers hate them, but application developers love them because they allow developing applications without any knowledge of database internals. As a result, the system performance is often unacceptably slow.

The only way to change this behavior is to provide application developers with a tool, which is as easy to use, as an ORM, but which will allow escaping the common ORM pitfalls. That's why we developed NORM - No-ORM Framework. During this presentation, we will go over examples of code from https://github.com/hettie-d/NORM repo and learn how to build "transport objects" for efficient data transfer between applications and databases

1С ERP Platform + Postgres = ...

CTO Postgres Professional Teodor Sigaev and 1C ERP platform expert Anton Doroshkevich will discuss the existing maintenance issues for 1C ERP on Postgres and their potential solutions.

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.

Deploying PostgreSQL Cluster with Query Load Balancing and Monitoring Capabilities on Kubernetes

Kubernetes is an open source container orchestration platform for automating deployment, scaling and management of application containers. Nowadays, more and more applications are being deployed in containers on Kubernetes.

There are several solutions that can help us to run a PostgreSQL cluster on Kubernetes. However, these solutions don't provide query load balancing capability. In this talk, I will show you how to combine PostgreSQL Operator with Pgpool-II to deploy a PostgreSQL cluster with query load balancing capability on Kubernetes.

Monitoring is a very important part in production environments. Although Kubernetes provides a basic way to monitor the status of a PostgreSQL cluster, this is not sufficient for managing a PostgreSQL cluster in production. An important improvement of Pgpool-II 4.2 release is the ability to output more useful statistics of the PostgreSQL cluster. In this talk, I will describe how to monitor and visualize the PostgreSQL cluster statistics in Prometheus for extensive cluster monitoring.