Blog

Govern Coding Agents with Databricks Unity Gateway

Databricks Unity Gateway stands between your AI coding agents and the models and tools they use. So you can govern every call and track every cent your agents spend.

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.

How KMP Reframes the Cross-platform Question

Instead of “native or cross-platform?”, ask yourself what must differ across platforms, and choose your framework accordingly. Here’s how we do it.

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.

KMP after KotlinConf 2026: Native Where It Matters, Shared Where It Counts

The event framed Kotlin as a full-stack, AI-aware platform, while KMP use in the top-10,000 mobile apps doubled year over year. Here’s what the next year could look like.

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.