AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Exploring Data Workloads on Kubernetes and the Operator Feature Matrix
The chapter delves into the trends of running data on Kubernetes, emphasizing the significance of best practices for different data workloads. It also discusses the Operator Feature Matrix project, aiming to standardize feature comparisons among Postgres operators. Furthermore, it explores the challenges and solutions related to dynamically loading extensions and composing container images in real-time for efficient deployment on Kubernetes.