Tools for server code debugging, profiling, and tracing

Debugging, profiling, and tracing of the executed commands play an important role in development of any applications. This is also true for developing stored procedures in DBMS.

PostgreSQL offers various tools (both built-in and external) for these purposes.

In this talk, we will provide an overview of the available tools and their advantages and disadvantages, as well as a detailed demo of their use cases.

This talk is a part of a basic course for backend application developers (DEV1), which “Postgres Professional” company plans to announce in the near future.

Building high-performance scale-out Database Solutions

Modern high-performance and scale-out Database solutions need to move huge amounts of data between the system components. They need to perform it quickly and without delay for the end-user. While developing interconnect technologies Mellanox focuses on highest bandwidth, ultra-low latency, and advanced CPU offload capabilities. In this session Michael will tell about fast interconnect value for Database and Big Data solutions and will share Mellanox experience in building such systems in cooperation with leading global vendors.

VIDEO

Processing 1 BILLION rows per second with PostgreSQL

Database systems are increasing in size and so is the need to process huge amounts of data in real time. As commercial database vendors are bragging about their capabilities we decided to push PostgreSQL to the next level and exceed 1 billion rows per second to show what we can do with Open Source. To those who need even more: 1 billion rows is by far not the limit - a lot more is possible. Watch and see how we did it.

VIDEO

Data analysis for all. Developing BI system, working on limited and even shared hardware

Experience we've got after 5 years of developing, deploying and improving BI system http://colibri365.ru used in government. I would talk about government IT reality and our way over it. Postgres performance improvements, using of latest features, overwriting of user generated queries to help query optimizer and other tweaks and hacks to tackle limited hardware problems. These lead us to number of computer science papers and (now committed) patches to Postgres (see Andrey Borodin talks for details).

VIDEO