An important performance optimization was added to Postgres 17, which changed the way SLRUs are managed and configured. But what are exactly these SLRUs? What do they store? What exactly was changed in Postgres 17? How do we now configure them? This talk goes over these questions in detail.
Data wants to stay where it is. Yet in modern applications, we continuously defy this with pipelines, streams, and staging layers. This talk questions that premise. Can we rethink locality and latency by inverting how data systems are composed? By treating the operational database as the source of truth and the query engine, we explore a pattern that eliminates redundancy, complexity, and delay. Real-world examples will illustrate the cost of unnecessary motion—and the gains when you stand still.
The integration of PostgreSQL within Kubernetes environments has historically been viewed with apprehension, reminiscent of past debates concerning databases on virtual machines. However, significant advancements have been made in both areas.
This keynote will provide an update on the current state of PostgreSQL integration within Kubernetes, highlighting the substantial progress that has occurred. We will introduce CYBERTEC Scalefield, a solution that establishes a new benchmark for PostgreSQL operations within Kubernetes, and offer a brief insight into its distinctive advantages for the PostgreSQL community.