Presentations

This talk will do a brief introduction into Podman and its features, and then we will talk about all of the new features in Podman over the last year. It will include a couple of demos, and ample time for questions at the end.

Artificial intelligence, machine learning, and deep learning are intertwined capabilities that attempt to solve problems that defy traditional computational solutions --- problems including fraud detection, voice recognition, and search result recommendations. While they elude simple computation, they are computationally expensive, involving the calculation of perhaps millions of probabilities and weights. These computations can be done outside the database, but there are specific advantages of doing machine learning inside it, close to where the data is stored.






A panel of PostgreSQL community members is here to answer any questions about any aspect of the project.

Three years into my software engineering career a freight train hit me. I was promoted to dev team lead. This is a common trend in the engineering world - where many times the sole paths to success for excellent engineers are through management paths. However, the skills that make great developers do not always translate to great management. In fact it’s usually quite the opposite, they often hold us back from succeeding in leadership roles, and I unfortunately learned this the hard way. This talk will expose some of the surprises and common mistakes that developers make.

Queries are essential to retrieving data from your database. How do you know if your queries are performing well? What is an index, and how does it help access the data? We will answer these questions and many more as we take our first steps into the realm of query optimization.

This talk will dive deep into the three keep practices identified by the authors of Accelerate to improve reliability: Chaos Engineering, GameDays, and Disaster Recovery. We will discuss the key measures of tempo and stability, and how practicing Chaos Engineering will increase both.

Netflix is poised to become the world’s most prolific producer of visual effects and original animated content. Artists like to work at places where they can create groundbreaking entertainment instead of worrying about getting access to the software or source files they need. Our solution is Netflix Workstations. This is the story of what we made, what we learned, and what we're going to do next.

Edge Computing is about distributing computational power and storage wherever they are needed. From a developer's perspective, the goal is to deploy microservices outside the data center. Naturally, this includes Kubernetes. But is Kubernetes needed on the Edge? Many of the leading Edge platforms can orchestrate containers on their own. Others, on the other hand, integrate with Kubernetes. Which one is the right approach for you? In this session, you will learn how to answer this question through examples related to industrial automation, artificial intelligence, and connected vehicles.

PostgreSQL is a very popular and feature-rich DBMS. At the same time, PostgreSQL has a set of annoying wicked problems, which haven't been resolved in decades. Miraculously, with just a small patch to PostgreSQL core extending this API, it appears possible to solve wicked PostgreSQL problems in a new engine made within an extension.