Domonkos Pal

Databricks Apps makes it easy to publish the first app. We address the compounding challenges organizations face when scaling to 10, 50, or 100+ Databricks Apps: inconsistent architecture, unclear access control, missing standards, ungoverned AI components and runaway costs. We will walk through a comprehensive methodology, including solutions and principles to provision, govern and observe dozens of applications at enterprise scale. The session includes reference architecture, frameworks, templates, a production readiness checklist, CI/CD setup, security & access control, unified logging and cost tracking. Attendees receive a comprehensive technical governance and adaptation playbook to effectively manage and scale app ecosystems.

How we designed, scaled and shipped a multi‑agent AI app platform for Skuld — built 100% natively on Databricks — and the unified App, AI and data patterns that made it possible. Maritime insurance claims depend on shifting legal facts, mixed‑format case files and strict audit requirements, and standard chunking plus top‑k filtering lost provenance and broke under load. At Skuld, we built a multi‑agent app on Databricks: Lakeflow Jobs runs parsing and enrichment pipelines, Model Serving powers synchronous agent calls, Databricks Apps handles secure user workflows and Unity Catalog governs access end-to-end. The talk dives into our evidence‑first retrieval pattern, where documents become source‑linked fact cards, conflicting facts stay visible for review and agents return exact citations instead of opaque answers. Attendees leave with a hosting decision framework and benchmark data on parsing throughput, queues, token cost, rate limits and latency.

Think Databricks is just for data and models? Think again. In this session, you’ll see how to build and scale a full-stack AI app capable of handling thousands of queries per second entirely on Databricks. No extra cloud platforms, no patchwork infrastructure. Just one unified platform with native hosting, LLM integration, secure access, and built-in CI/CD. Learn how Databricks Apps, along with services like Model Serving, Jobs, and Gateways, streamline your architecture, eliminate boilerplate, and accelerate development, from prototype to production.