Scaling Time-Series Workloads on Postgres

Many real-world processes produce data as a continuous stream rather than as isolated records. Sensor readings, financial markets, and application telemetry all generate data this way.

It goes beyond the title with direct discussion of data, like, well, including: Sensor readings, financial markets, and application telemetry all generate data this way.

1. 01This lets a single PostgreSQL-based system handle both transactional and analytical workloads without splitting data across multiple tools
2. 02In this episode, Brandon joins Kevin Ball to discuss why time series data breaks conventional databases, how hyper tables and hyper core scale Postgres, zero copy database forking
3. 03I was doing most of the leadership