Check out our blog for our latest thoughts on data, AI, and digital products.
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.
Unbounded Token Consumption: How Not to Burn All Your Money on LLM API Costs
One malicious prompt can cost 3,000x more than a normal request. Here's how Denial of Wallet attacks work, and how to set the guardrails to avoid runaway LLM costs.
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.
Agentic AI for Business Intelligence: Prototyping, Ticket Management, and Gold Layer Development
Three areas where agentic business intelligence delivers real value: spinning up mockups in hours, turning loose requests into proper tickets, and rebuilding data layers faster than ever.
From intern to Senior Consultant
This story started during peak COVID, in the middle of university chaos. Balázs has since grown into a role where he runs C-level workshops on his own. Along the way, his mentor changed once—and so did the kind of support he needed.
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.
