Kubernetes
Recent items mentioning Kubernetes across the Databricks ecosystem — releases, news, videos, and community Q&A. Updated hourly.
Can Databricks Jobs Run on Kubernetes Clusters?
MLflow 3.13.0 introduces a new Role-Based Access Control system with an Admin UI for managing users and permissions, alongside trace retention and auto-archival to object storage. This release also includes one-click observability for coding agents, new engines for MLflow Assistant, and an official Helm chart for Kubernetes deployments.
MLflow now features a major overhaul of Role-Based Access Control with a new Admin UI and unified permission APIs. It also introduces end-to-end trace archival, Helm charts for Kubernetes deployment, and a new API for stress-testing GenAI agents.
MLflow 3.11.1 introduces AI-powered issue detection for agent traces, budget alerts and limits for AI Gateway spending, and a new interactive graph view for visualizing trace hierarchies. It also enhances security with pickle-free model serialization and improves dependency management with native UV support.
UnityCatalog 0.3.0
Unity Catalog now supports Spark 4.0 and Delta Lake 4.0, enhancing compatibility with the latest Databricks runtime components. New API surfaces for credentials and external locations provide more flexible handling of external storage services.
