Dirk Krautschick

For years, developers have pushed PostgreSQL to its absolute limits, asking it to handle both high-frequency transactions and massive analytical aggregations. But as data grows, even the most tuned Postgres instance eventually hits the "analytical wall." For sure PostgreSQL is the "everything database," but "everything" has a limit.

In the realm of data management, the convergence of Postgres, Kafka, and Debezium heralds a new era of possibilities. This talk is a compelling exploration into why individuals immersed in the Postgres ecosystem must pay careful attention to Kafka and Debezium, unveiling the transformative impact of this trinity on data architecture.

The sustainable collection of performance data from database systems for flexible and extensive evaluations through snapshots and reports are available from commercial database manufacturers and a essential and a popular feature for several DBAs.

Starting with an simple ask in my daily business just to compare the performance of PostgreSQL DBaaS offerings between different cloud vendors I've opened a door into an unexpected journey of way more effort, research and thoughts.

The sustainable collection of performance data from database systems for flexible and extensive evaluations through snapshots and reports are available from commercial database manufacturers and a essential and a popular feature for several DBAs.

Die nachhaltige Sammlung von Performance-Daten von Datenbanksystemen für flexible und umfangreiche Auswertungen durch Snapshots und Reports sind bei kommerziellen Datenbank-Herstellern essentiell und bei DBAs ein beliebtes Feature.