Blog

Databricks Apps Architecture: One Standard for Every App Tier

This reusable, standardized Databricks Apps architecture works for every app tier: MVP, enterprise, and an ecosystem of apps for the entire org. See the full breakdown with diagrams.

Unified Logging, Observability, and Cost Tracking for Databricks Apps

One setup to build Databricks Apps cost governance and observability, including an open reference implementation on GitHub: fleet monitoring, application insights, cost tracking, and AI code review.

Multi-Environment CI/CD for Databricks Apps with DABs, GitHub Actions, and Lakebase

How to set up Databricks CI/CD through DABs, GitHub Actions, Lakebase branching, and promotion rules to create repeatable deployments for every app and environment.

Agentic Engineering on Databricks: Toolkits, Setup, and Best Practices

AI coding on Databricks got a serious upgrade with the arrival of new toolkits. Here's how to choose the right one, set up your agentic workflow, and ship faster but without cutting corners.

Databricks AI Dev Kit: From Prompt to Deployed App in 15 Minutes

Databricks AI Dev Kit gives your coding agents the skills and tools to build full apps on your workspace fast. Here's what's inside and how to get started.

Bimodal Approach to GenAI Application Architecture

Dual-speed architecture helps you ship stable apps and iterate on AI fast—one product, two release pipelines, and clear contracts between them. Here’s how.