The OLTP architecture your agentic systems actually need, and how it compares to Supabase, Azure PostgreSQL, and Cosmos DBEarlier this year, Nikita Shamgunov — the engineer leading Databricks Lakebase — published a number that reframed my entire arch...
Building an Incremental Customer Data Migration Workflow in DatabricksBy Naveen AyallaIntroductionIn many enterprise environments, customer data is spread across legacy systems that were originally designed for operational processing rather than mode...
Great write-up, Naveen. Very practical and clear.I really like how you focused not just on migration, but on building a reliable incremental workflow with proper duplicate handling and governance. That’s where real value comes from.Also, connecting D...
I read about a team demo about their shiny new "autonomous AI agent” leadership. It queried databases, generated reports, sent Slack notifications—all hands-free. Impressive stuff. Two weeks later? $12K in API costs, staging data accidentally pushed ...
https://medium.com/@bijumathewt/real-world-langgraph-crewai-application-intelligent-databricks-alert-system-with-ai-7ba36e23f7a2You will love above article
Many enterprises today launch AI agents with high hopes but more often than not, those pilots never reach production. The culprit? Complexity, poor evaluations, ballooning costs, and governance gaps.Why do so many AI agent pilots never make it to pro...
Agent Bricks looks solid for scaling AI, and I’ve seen platforms like Agentra.io also tackle the enterprise workflow side of this challenge.
