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Past presentations
- Key architectural updates in va...
One of PostgreSQL’s most powerful functions is often unknown to many users - the Postgres implementation of “hooks” allows for safe access to core features of the database engine. While using hooks used to require a knowledge of the C programming language to leverage, Trusted Language Extensions for PostgreSQL allows for safe access to Postgres hooks via trusted Postgres languages we know and l...
Deep Dive into PostgreSQL Vacuum Internals: Enhancements, Challenges, and Untold Stories
Deep Dive into PostgreSQL Vacuum Internals: Enhancements, Challenges, and Untold Stories
Vacuum is the unsung hero of PostgreSQL, ensuring database health, reclaiming storage, and maintaining query performance. However, its internal mechanisms, recent improvements, and peculiar corner cases often remain a mystery to many users and developers. This presentation will explore the intricate workings of PostgreSQL's vacuum process, shedding light on:
Using aws_ml/aws_comprehend in Aurora PostgreSQL
Using aws_ml/aws_comprehend in Aurora PostgreSQL
Amazon Aurora machine learning enables you to add ML-based predictions to applications via the familiar SQL programming language, so you don't need to learn separate tools or have prior machine learning experience. It provides simple, optimized, and secure integration between Aurora and AWS ML services without having to build custom integrations or move data around. In this session, learn more ...
Using Global database in Amazon Aurora PostgreSQL
Using Global database in Amazon Aurora PostgreSQL
An Amazon Aurora Global database is designed for globally distributed applications, allowing a single Amazon Aurora database to span multiple AWS Regions. It replicates your data with no impact on database performance, enables fast local reads with low latency in each Region, and provides disaster recovery (DR) from Region-wide outages. In this session, learn how to plan for cross-Region DR and...