Blog

Forward Deployed Engineering Model: New Solution to Old Problems

More and more enterprises turn to the forward deployed engineering model to solve expensive problems and make AI work. Here’s what FDEs do and why it’s worth the spend.

Databricks Genie Ontology Is Coming—Here’s How to Prepare Your Company

Databricks Genie Ontology was announced in June, and it will launch later in 2026. This gap is the best prep window you'll get. Here's how to prepare.

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.

Foundations of an Application Landing Zone for Azure Databricks

A walkthrough of the infrastructure foundations every Databricks project needs: IaC with modular components, environment separation, and network and authentication best practices and DevOps enablement on Azure.

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.