Systems | Development | Analytics | API | Testing

Can AI agents actually fix production Kubernetes clusters, or are we just trapped in flashy AI marketing hype? In this Cloud Native Budapest session at Cloudera, Yurii Palamarchuk (Cloudera) breaks down why most AI demos fail in production, and Péter Megyesi shares how autonomous AI agents (Claude Code, kubectl) resolved a complex 6-year-old Ceph & Kubernetes outage.

Why does context always seem to live in people's heads in enterprise organizations? According to Jessica Talisman, author of The Ontology Pipeline and founder of Contextually LLM, the answer is that organizations have invested heavily in data management for decades — and almost nothing in knowledge management. In this clip from Day 1 of our Semantic & Context Layer Series, Jessica joins Jane Smith and Sonny Rivera to untangle the terminology confusion around semantic layers, context layers, and memory and explain why the gap between data and knowledge is exactly where AI answers break down.

Budgets are tight, AI is changing how software gets built, and citizens expect the same digital experience they get from their favorite online brands. One missed bug can put your mission and constituent trust at risk. In this video, John explains how public sector agencies can close the gap between speed and safety with automated software quality assurance. You'll see how the Tricentis platform helps teams decide what to test, manage testing in one place, automate end-to-end processes, and make sure systems perform under heavy load.

Fivetran + dbt Labs CEO George Fraser and Fivetran + dbt Labs President Tristan Handy sit down with Andreessen Horowitz general partner Martin Casado, one of the leading investors in software and AI infrastructure, to talk about Open Data Infrastructure in the AI era. Martin and his team have invested in dbt, Fivetran, Tabular, Cursor, OpenRouter, and many other companies.

Learn how to analyze a 30-second local load test using AI and Proxymock to track latency and P99 metrics effortlessly.